261 results on '"Beenen, Ludo F. M."'
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2. Abdominale beeldvorming met een spoedkarakter
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Beenen, Ludo F. M., Scheerder, Maeke J., Maas, Mario, editor, Nusman, Charlotte, editor, Smithuis, Frank, editor, and Bennink, Roel, editor
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- 2023
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3. Collateral Capacity Assessment: Robustness and Interobserver Agreement of Two Grading Scales and Agreement with Quantitative Scoring
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Yang, Wenjin, Soomro, Jazba, Jansen, Ivo G. H., Venkatesh, Aashish, Yoo, Albert J., Lopes, Demetrius, Beenen, Ludo F. M., Emmer, Bart J., Majoie, Charles B. L. M., and Marquering, Henk A.
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- 2023
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4. A radiological cadaveric study of obturator nerve involvement and cranial injectate spread after different approaches to the fascia iliaca compartment block
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ten Hoope, Werner, Smulders, Pascal S. H., Baumann, Holger M., Hermanides, Jeroen, Beenen, Ludo F. M., Oostra, Roelof-Jan, Marhofer, Peter, Lirk, Philipp, and Hollmann, Markus W.
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- 2023
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5. Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism
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Boon, Gudula J. A. M., Ende-Verhaar, Yvonne M., Beenen, Ludo F. M., Coolen, Johan, Delcroix, Marion, Golebiowski, Marek, Huisman, Menno V., Mairuhu, Albert T. A., Meijboom, Lilian J., Middeldorp, Saskia, Pruszczyk, Piotr, van Rooden, Cornelis J., Vonk Noordegraaf, Anton, Kroft, Lucia J. M., and Klok, Frederikus A.
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- 2022
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6. An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.
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van den Berk, Inge A. H., Jacobs, Colin, Kanglie, Maadrika M. N. P., Mets, Onno M., Snoeren, Miranda, Montauban van Swijndregt, Alexander D., Taal, Elisabeth M., van Engelen, Tjitske S. R., Prins, Jan M., Bipat, Shandra, Bossuyt, Patrick M. M., Stoker, Jaap, The OPTIMACT study group, Annema, Jouke, Beenen, Ludo F. M., Bekebrede-Kaufman, Dominique, Elzer, Brenda, Frankemölle, Betty, Groenink, Maarten, and Hoolwerf, Erwin
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SOLITARY pulmonary nodule ,MACHINE learning ,PULMONARY nodules ,EARLY detection of cancer ,DEEP learning - Abstract
Background: To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). Methods: In the OPTIMACT trial, 870 patients with suspected nontraumatic pulmonary disease underwent ULDCT. The ED radiologist prospectively read the examinations and reported incidental pulmonary nodules requiring follow-up. All ULDCTs were processed post hoc using an AI deep learning software marking pulmonary nodules ≥ 6 mm. Three chest radiologists independently reviewed the subset of ULDCTs with either prospectively detected incidental nodules in 35/870 patients or AI marks in 458/870 patients; findings scored as nodules by at least two chest radiologists were used as true positive reference standard. Proportions of true and false positives were compared. Results: During the OPTIMACT study, 59 incidental pulmonary nodules requiring follow-up were prospectively reported. In the current analysis, 18/59 (30.5%) nodules were scored as true positive while 104/1,862 (5.6%) AI marks in 84/870 patients (9.7%) were scored as true positive. Overall, 5.8 times more (104 versus 18) true positive pulmonary nodules were detected with the use of AI, at the expense of 42.9 times more (1,758 versus 41) false positives. There was a median number of 1 (IQR: 0–2) AI mark per ULDCT. Conclusion: The use of AI on ULDCT in patients suspected of pulmonary disease in an emergency setting results in the detection of many more incidental pulmonary nodules requiring follow-up (5.8×) with a high trade-off in terms of false positives (42.9×). Relevance statement: AI aids in the detection of incidental pulmonary nodules that require follow-up at chest-CT, aiding early pulmonary cancer detection but also results in an increase of false positive results that are mainly clustered in patients with major abnormalities. Trial registration: The OPTIMACT trial was registered on 6 December 2016 in the National Trial Register (number NTR6163) (onderzoekmetmensen.nl). Key Points: An AI deep learning algorithm was tested on 870 ULDCT examinations acquired in the ED. AI detected 5.8 times more pulmonary nodules requiring follow-up (true positives). AI resulted in the detection of 42.9 times more false positive results, clustered in patients with major abnormalities. AI in the ED setting may aid in early pulmonary cancer detection with a high trade-off in terms of false positives. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Safety and efficacy of aspirin, unfractionated heparin, both, or neither during endovascular stroke treatment (MR CLEAN-MED): an open-label, multicentre, randomised controlled trial
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van der Steen, Wouter, van de Graaf, Rob A, Chalos, Vicky, Lingsma, Hester F, van Doormaal, Pieter Jan, Coutinho, Jonathan M, Emmer, Bart J, de Ridder, Inger, van Zwam, Wim, van der Worp, H Bart, van der Schaaf, Irene, Gons, Rob A R, Yo, Lonneke S F, Boiten, Jelis, van den Wijngaard, Ido, Hofmeijer, Jeannette, Martens, Jasper, Schonewille, Wouter, Vos, Jan Albert, Tuladhar, Anil Man, de Laat, Karlijn F, van Hasselt, Boudewijn, Remmers, Michel, Vos, Douwe, Rozeman, Anouk, Elgersma, Otto, Uyttenboogaart, Maarten, Bokkers, Reinoud P H, van Tuijl, Julia, Boukrab, Issam, van den Berg, René, Beenen, Ludo F M, Roosendaal, Stefan D, Postma, Alida Annechien, Krietemeijer, Menno, Lycklama, Geert, Meijer, Frederick J A, Hammer, Sebastiaan, van der Hoorn, Anouk, Yoo, Albert J, Gerrits, Dick, Truijman, Martine T B, Zinkstok, Sanne, Koudstaal, Peter J, Manschot, Sanne, Kerkhoff, Henk, Nieboer, Daan, Berkhemer, Olvert, Wolff, Lennard, van der Sluijs, P Matthijs, van Voorst, Henk, Tolhuisen, Manon, Roos, Yvo B W E M, Majoie, Charles B L M, Staals, Julie, van Oostenbrugge, Robert J, Jenniskens, Sjoerd F M, van Dijk, Lukas C, den Hertog, Heleen M, van Es, Adriaan C G M, van der Lugt, Aad, Dippel, Diederik W J, and Roozenbeek, Bob
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- 2022
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8. Value of infarct location in the prediction of functional outcome in patients with an anterior large vessel occlusion: results from the HERMES study
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Tolhuisen, Manon L., Ernst, Marielle, Boers, Anne M. M., Brown, Scott, Beenen, Ludo F. M., Guillemin, Francis, Roos, Yvo B. W. E. M., Saver, Jeffrey L., van Oostenbrugge, Robert, Demchuck, Andrew M., van Zwam, Wim, Jovin, Tudor G., Berkhemer, Olvert A., Muir, Keith W., Bracard, Serge, Campbell, Bruce C. V., van der Lugt, Aad, White, Phill, Hill, Michael D., Dippel, Diederik W. J., Mitchell, Peter J., Goyal, Mayank, Caan, Matthan W. A., Marquering, Henk A., and Majoie, Charles B. L. M.
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- 2022
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9. Agreement between estimated computed tomography perfusion ischemic core and follow-up infarct on diffusion-weighted imaging
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Yang, Wenjin, Hoving, Jan W., Koopman, Miou S., Tolhuisen, Manon L., van Voorst, Henk, Berkheme, Olvert A., Coutinho, Jonathan M., Beenen, Ludo F. M., and Emmer, Bart J.
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- 2022
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10. Latent class analysis of imaging and clinical respiratory parameters from patients with COVID-19-related ARDS identifies recruitment subphenotypes
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Filippini, Daan F. L., Di Gennaro, Elisa, van Amstel, Rombout B. E., Beenen, Ludo F. M., Grasso, Salvatore, Pisani, Luigi, Bos, Lieuwe D. J., and Smit, Marry R.
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- 2022
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11. Left Atrial Appendage Opacification on Cardiac Computed Tomography in Acute Ischemic Stroke: The Clinical Implications of Slow-Flow.
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Shan Sui Nio, Rinkel, Leon A., Cramer, Olivia N., Beyda Özata, Z., Beemsterboer, Chiel F. P., Guglielmi, Valeria, Bouma, Berto J., Matthijs Boekholdt, S., Lobé, Nick H. J., Beenen, Ludo F. M., Marquering, Henk A., Majoie, Charles B. L. M., Roos, Yvo B. W. E. M., van Randen, Adrienne, Nils Planken, R., and Coutinho, Jonathan M.
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- 2024
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12. Thrombus Imaging Characteristics to Predict Early Recanalization in Anterior Circulation Large Vessel Occlusion Stroke
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Arrarte Terreros, Nerea, primary, Stolp, Jeffrey, additional, Bruggeman, Agnetha A. E., additional, Swijnenburg, Isabella S. J., additional, Lopes, Ricardo R., additional, van Meenen, Laura C. C., additional, Groot, Adrien E. D., additional, Kappelhof, Manon, additional, Coutinho, Jonathan M., additional, Roos, Yvo B. W. E. M., additional, Emmer, Bart J., additional, Beenen, Ludo F. M., additional, Dippel, Diederik W. J., additional, van Zwam, Wim H., additional, van Bavel, Ed, additional, Marquering, Henk A., additional, and Majoie, Charles B. L. M., additional
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- 2024
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13. Long-Term Clinical Implications of High-Risk Cardiac Computed Tomography Findings in Patients With Acute Ischemic Stroke.
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Rinkel, Leon A., Cramer, Olivia N., Özata, Z. Beyda, Beemsterboer, Chiel F. P., Guglielmi, Valeria, Shan Sui Nio, Bouma, Berto J., Boekholdt, S. Matthijs, Lobé, Nick H. J., Beenen, Ludo F. M., Marquering, Henk A., Majoie, Charles B. L. M., Roos, Yvo B. W. E. M., van Randen, Adrienne, Planken, R. Nils, and Coutinho, Jonathan M.
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- 2024
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14. Association between thrombus composition and stroke etiology in the MR CLEAN Registry biobank
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Hund, Hajo M., Boodt, Nikki, Hansen, Daniel, Haffmans, Willem A., Lycklama à Nijeholt, Geert J., Hofmeijer, Jeannette, Dippel, Diederik W. J., van der Lugt, Aad, van Es, Adriaan C. G. M., van Beusekom, Heleen M. M., Majoie, Charles B. L. M., Roos, Yvo B. W. E. M., van Oostenbrugge, Robert J., van Zwam, Wim H., Boiten, Jelis, Vos, Jan Albert, Jansen, Ivo G. H., Mulder, Maxim J. H. L., Goldhoorn, Robert- Jan B., Compagne, Kars C. J., Kappelhof, Manon, Brouwer, Josje, den Hartog, Sanne J., Hinsenveld, Wouter H., Roozenbeek, Bob, Emmer, Bart J., Coutinho, Jonathan M., Schonewille, Wouter J., Wermer, Marieke J. H., van Walderveen, Marianne A. A., Staals, Julie, Martens, Jasper M., de Bruijn, Sebastiaan F., van Dijk, Lukas C., van der Worp, H. Bart, Lo, Rob H., van Dijk, Ewoud J., Boogaarts, Hieronymus D., de Vries, J., de Kort, Paul L. M., van Tuijl, Julia, Peluso, Jo P., Fransen, Puck, van den Berg, Jan S. P., van Hasselt, Boudewijn A. A. M., Aerden, Leo A. M., Dallinga, René J., Uyttenboogaart, Maarten, Eschgi, Omid, Bokkers, Reinoud P. H., Schreuder, Tobien H. C. M. L., Heijboer, Roel J. J., Keizer, Koos, Yo, Lonneke S. F., den Hertog, Heleen M., Bulut, Tomas, Brouwers, Paul J. A. M., Sprengers, Marieke E. S., Jenniskens, Sjoerd F. M., van den Berg, René, Yoo, Albert J., Beenen, Ludo F. M., Postma, Alida A., Roosendaal, Stefan D., van der Kallen, Bas F. W., van den Wijngaard, Ido R., Bot, Joost, van Doormaal, Pieter-Jan, Meijer, Anton, Ghariq, Elyas, van Proosdij, Marc P., Krietemeijer, G. Menno, Dinkelaar, Wouter, Appelman, Auke P. A., Hammer, Bas, Pegge, Sjoert, van der Hoorn, Anouk, Vinke, Saman, Flach, H. Zwenneke, Lingsma, Hester F., el Ghannouti, Naziha, Sterrenberg, Martin, Pellikaan, Wilma, Sprengers, Rita, Elfrink, Marjan, Simons, Michelle, Vossers, Marjolein, de Meris, Joke, Vermeulen, Tamara, Geerlings, Annet, van Vemde, Gina, Simons, Tiny, Messchendorp, Gert, Nicolaij, Nynke, Bongenaar, Hester, Bodde, Karin, Kleijn, Sandra, Lodico, Jasmijn, Droste, Hanneke, Wollaert, Maureen, Verheesen, Sabrina, Jeurrissen, D., Bos, Erna, Drabbe, Yvonne, Sandiman, Michelle, Aaldering, Nicoline, Zweedijk, Berber, Vervoort, Jocova, Ponjee, Eva, Romviel, Sharon, Kanselaar, Karin, Barning, Denn, Venema, Esmee, Chalos, Vicky, Geuskens, Ralph R., van Straaten, Tim, Ergezen, Saliha, Harmsma, Roger R. M., Muijres, Daan, de Jong, Anouk, Berkhemer, Olvert A., Boers, Anna M. M., Huguet, J., Groot, P. F. C., Mens, Marieke A., van Kranendonk, Katinka R., Treurniet, Kilian M., Tolhuisen, Manon L., Alves, Heitor, Weterings, Annick J., Kirkels, Eleonora L.F., Voogd, Eva J. H. F., Schupp, Lieve M., Collette, Sabine L., Groot, Adrien E. D., LeCouffe, Natalie E., Konduri, Praneeta R., Prasetya, Haryadi, Arrarte-Terreros, Nerea, Ramos, Lucas A., Radiology and Nuclear Medicine, ACS - Microcirculation, ANS - Neurovascular Disorders, Neurology, ACS - Atherosclerosis & ischemic syndromes, ANS - Cellular & Molecular Mechanisms, ANS - Compulsivity, Impulsivity & Attention, Graduate School, Biomedical Engineering and Physics, AMS - Amsterdam Movement Sciences, ANS - Brain Imaging, Adult Psychiatry, APH - Methodology, Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Cardiology, Radiology & Nuclear Medicine, Radiology and nuclear medicine, Internal medicine, Pediatrics, Amsterdam Neuroscience - Neurovascular Disorders, and CCA - Imaging and biomarkers
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Microscopy ,Ischemic stroke ,Radiology, Nuclear Medicine and imaging ,Endovascular treatment ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,Mechanical thrombectomy ,Stent-retriever ,Thrombus - Abstract
Purpose The composition of thrombi retrieved during endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) due to large vessel occlusion (LVO) may differ depending on their origin. In this study, we investigated the association between thrombus composition and stroke etiology in a large population of patients from the Dutch MR CLEAN Registry treated with EVT in daily clinical practice. Methods The thrombi of 332 patients with AIS were histologically analyzed for red blood cells (RBC), fibrin/platelets (F/P), and white blood cells (leukocytes) using a machine learning algorithm. Stroke etiology was assessed using the Trial of Org 10,172 in acute stroke treatment (TOAST) classification. Results The thrombi of cardioembolic origin contained less RBC and more F/P than those of non-cardioembolic origin (25.8% vs 41.2% RBC [p = 0.003] and 67.1% vs 54.5% F/P [p = 0.004]). The likelihood of a non-cardioembolic source of stroke increased with increasing thrombus RBC content (OR 1.02; [95% CI 1.00–1.06] for each percent increase) and decreased with a higher F/P content (OR 1.02; [95% CI 1.00–1.06]). Thrombus composition in patients with a cardioembolic origin and undetermined origin was similar. Conclusion Thrombus composition is significantly associated with stroke etiology, with an increase in RBC and a decrease in F/P raising the odds for a non-cardioembolic cause. No difference between composition of cardioembolic thrombi and of undetermined origin was seen. This emphasizes the need for more extensive monitoring for arrhythmias and/or extended cardiac analysis in case of an undetermined origin.
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- 2023
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15. Emergency Bleeding Control Interventions After Immediate Total-Body CT Scans in Trauma Patients
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Treskes, Kaij, Saltzherr, Teun P., Edwards, Michael J. R., Beuker, Benn J. A., Den Hartog, D., Hohmann, Joachim, Luitse, Jan S., Beenen, Ludo F. M., Hollmann, Markus W., Dijkgraaf, Marcel G. W., Goslings, J. Carel, and the REACT-2 study group
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- 2019
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16. Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study
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Fogteloo, Anne J, Kroft, Lucia J M, Brekelmans, Marjolein P, Vermaire, René M J, Bastiaansen-Bergsma, Hanny, Biedermann, Jossi S, Klijn, Adinda, van der Voort, Sanne, Lieveld, Arthur W E, de Jong, Peter Y, Schaar, Cees G, del Sol, Antonio Iglesias, van der Hulle, Tom, Cheung, Whitney Y, Kooij, Stephanie, Beenen, Ludo F M, van Bemmel, Thomas, van Es, Josien, Faber, Laura M, Hazelaar, Germa M, Heringhaus, Christian, Hofstee, Herman, Hovens, Marcel M C, Kaasjager, Karin A H, van Klink, Rick C J, Kruip, Marieke J H A, Loeffen, Rinske F, Mairuhu, Albert T A, Middeldorp, Saskia, Nijkeuter, Mathilde, van der Pol, Liselotte M, Schol-Gelok, Suzanne, ten Wolde, Marije, Klok, Frederikus A, and Huisman, Menno V
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- 2017
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17. A prospective study comparing water only with positive oral contrast in patients undergoing abdominal CT scan
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de Wit, Pascale A. M., Tielbeek, Jeroen A. W., van Diepen, Pascal R., Oulad Abdennabi, Ikrame, Beenen, Ludo F. M., and Bipat, Shandra
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- 2020
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18. Adductor canal block techniques do not lead to involvement of sciatic nerve branches: a radiological cadaveric study.
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Smulders, Pascal S. H., ten Hoope, Werner, Baumann, Holger M., Hermanides, Jeroen, Hemke, Robert, Beenen, Ludo F. M., Oostra, Roelof-Jan, Marhofer, Peter, Lirk, Philipp, and Hollmann, Markus W.
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Introduction Low and high volume mid-thigh (ie, distal femoral triangle) and distal adductor canal block approaches are frequently applied for knee surgical procedures. Although these techniques aim to contain the injectate within the adductor canal, spillage into the popliteal fossa has been reported. While in theory this could improve analgesia, it might also result in motor blockade due to coverage of motor branches of the sciatic nerve. This radiological cadaveric study, therefore, investigated the incidence of coverage of sciatic nerve divisions after various adductor canal block techniques. Methods Eighteen fresh, unfrozen and unembalmed human cadavers were randomized to receive ultrasound-guided distal femoral triangle or distal adductor canal injections, with 2 mL or 30 mL injectate volume, on both sides (36 blocks in total). The injectate was a 1:10 dilution of contrast medium in local anesthetic. Injectate spread was assessed using whole-body CT with reconstructions in axial, sagittal and coronal planes. Results No coverage of the sciatic nerve or its main divisions was found. The contrast mixture spread to the popliteal fossa in three of 36 nerve blocks. Contrast reached the saphenous nerve after all injections, whereas the femoral nerve was always spared. Conclusions Adductor canal block techniques are unlikely, even when using larger volumes, to block the sciatic nerve, or its main branches. Furthermore, injectate reached the popliteal fossa in a small minority of cases, yet if a clinical analgesic effect is achieved by this mechanism is still unknown. [ABSTRACT FROM AUTHOR]
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- 2024
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19. Exploring metal artifact reduction using dual-energy CT with pre-metal and post-metal implant cadaver comparison: are implant specific protocols needed?
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Wellenberg, Ruud H. H., Donders, Johanna C. E., Kloen, Peter, Beenen, Ludo F. M., Kleipool, Roeland P., Maas, Mario, and Streekstra, Geert J.
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- 2018
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20. Accuracy of Four Different CT Perfusion Thresholds for Ischemic Core Volume and Location Estimation Using IntelliSpace Portal
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Koopman, Miou S., primary, Hoving, Jan W., additional, Tolhuisen, Manon L., additional, Jin, Peng, additional, Thiele, Frank O., additional, Bremer-van der Heiden, Linda, additional, van Voorst, Henk, additional, Berkhemer, Olvert A., additional, Coutinho, Jonathan M., additional, Beenen, Ludo F. M., additional, Marquering, Henk A., additional, Emmer, Bart J., additional, and Majoie, Charles B. L. M., additional
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- 2023
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21. Validity of Early Outcomes as Indicators for Comparing Hospitals on Quality of Stroke Care
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Amini, Marzyeh, primary, Eijkenaar, Frank, additional, Lingsma, Hester F., additional, den Hartog, Sanne J., additional, Olthuis, Susanne G. H., additional, Martens, Jasper, additional, van der Worp, Bart, additional, van Zwam, Wim, additional, van der Hoorn, Anouk, additional, Roosendaal, Stefan D., additional, Roozenbeek, Bob, additional, Dippel, Diederik, additional, van Leeuwen, Nikki, additional, Dippel, Diederik W. J., additional, van der Lugt, Aad, additional, Majoie, Charles B. L. M., additional, Roos, Yvo B. W. E. M., additional, van Oostenbrugge, Robert J., additional, van Zwam, Wim H., additional, Boiten, Jelis, additional, Vos, Jan Albert, additional, Brouwer, Josje, additional, Hinsenveld, Wouter H., additional, Kappelhof, Manon, additional, Compagne, Kars C. J., additional, Goldhoorn, Robert‐Jan B., additional, Mulder, Maxim J. H. L., additional, Jansen, Ivo G. H., additional, van Es, Adriaan C. G. M., additional, Emmer, Bart J., additional, Coutinho, Jonathan M., additional, Schonewille, Wouter J., additional, Wermer, Marieke J. H., additional, van Walderveen, Marianne A. A., additional, Staals, Julie, additional, Hofmeijer, Jeannette, additional, Martens, Jasper M., additional, Lycklama à Nijeholt, Geert J., additional, de Bruijn, Sebastiaan F., additional, van Dijk, Lukas C., additional, van der Worp, H. Bart, additional, Lo, Rob H., additional, van Dijk, Ewoud J., additional, Boogaarts, Hieronymus D., additional, de Vries, J., additional, de Kort, Paul L. M., additional, van Tuijl, Julia, additional, Peluso, Jo Jo P., additional, Fransen, Puck, additional, van den Berg, Jan S. P., additional, van Hasselt, Boudewijn A. A. M., additional, Aerden, Leo A. M., additional, Dallinga, René J., additional, Uyttenboogaart, Maarten, additional, Eschgi, Omid, additional, Bokkers, Reinoud P. H., additional, Schreuder, Tobien H. C. M. L., additional, Heijboer, Roel J. J., additional, Keizer, Koos, additional, Yo, Lonneke S. F., additional, den Hertog, Heleen M., additional, Sturm, Emiel J. C., additional, Brouwers, Paul, additional, Sprengers, Marieke E. S., additional, Jenniskens, Sjoerd F. M., additional, van den Berg, René, additional, Yoo, Albert J., additional, Beenen, Ludo F. M., additional, Postma, Alida A., additional, van der Kallen, Bas F. W., additional, van den Wijngaard, Ido R., additional, Bot, Joost, additional, van Doormaal, Pieter‐Jan, additional, Meijer, Anton, additional, Ghariq, Elyas, additional, van Proosdij, Marc P., additional, Krietemeijer, G. Menno, additional, Peluso, Jo P., additional, Lo, Rob, additional, Dinkelaar, Wouter, additional, Appelman, Auke P. A., additional, Hammer, Bas, additional, Pegge, Sjoert, additional, Vinke, Saman, additional, Flach, H. Zwenneke, additional, el Ghannouti, Naziha, additional, Sterrenberg, Martin, additional, Puppels, Corina, additional, Pellikaan, Wilma, additional, Sprengers, Rita, additional, Elfrink, Marjan, additional, Simons, Michelle, additional, Vossers, Marjolein, additional, de Meris, Joke, additional, Vermeulen, Tamara, additional, Geerlings, Annet, additional, van Vemde, Gina, additional, Simons, Tiny, additional, van Rijswijk, Cathelijn, additional, Messchendorp, Gert, additional, Nicolaij, Nynke, additional, Bongenaar, Hester, additional, Bodde, Karin, additional, Kleijn, Sandra, additional, Lodico, Jasmijn, additional, Droste, Hanneke, additional, Wollaert, Maureen, additional, Verheesen, Sabrina, additional, Jeurrissen, D., additional, Bos, Erna, additional, Drabbe, Yvonne, additional, Sandiman, Michelle, additional, Aaldering, Nicoline, additional, Zweedijk, Berber, additional, Khalilzada, Mostafa, additional, Vervoort, Jocova, additional, Ponjee, Eva, additional, Romviel, Sharon, additional, Kanselaar, Karin, additional, Barning, Denn, additional, Venema, Esmee, additional, Chalos, Vicky, additional, Geuskens, Ralph R., additional, van Straaten, Tim, additional, Ergezen, Saliha, additional, Harmsma, Roger R. M., additional, Muijres, Daan, additional, de Jong, Anouk, additional, Berkhemer, Olvert A., additional, Boers, Anna M. M., additional, Huguet, J., additional, Groot, P. F. C., additional, Mens, Marieke A., additional, van Kranendonk, Katinka R., additional, Treurniet, Kilian M., additional, Tolhuisen, Manon L., additional, Alves, Heitor, additional, Weterings, Annick J., additional, Kirkels, Eleonora L. F., additional, Voogd, Eva J. H. F., additional, Schupp, Lieve M., additional, Collette, Sabine, additional, Groot, Adrien E. D., additional, LeCouffe, Natalie E., additional, Konduri, Praneeta R., additional, Prasetya, Haryadi, additional, Arrarte‐Terreros, Nerea, additional, and Ramos, Lucas A., additional
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- 2023
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22. Performance of the 4-Level Pulmonary Embolism Clinical Probability Score (4PEPS) in the diagnostic management of pulmonary embolism: An external validation study
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Stals, M.A.M., Beenen, Ludo F. M., Coppens, Michiel, Faber, L.M., Hofstee, H.M.A., Hovens, Marcel M. C., Middeldorp, S., Es, Nick van, Grp, YEARS Study, Stals, M.A.M., Beenen, Ludo F. M., Coppens, Michiel, Faber, L.M., Hofstee, H.M.A., Hovens, Marcel M. C., Middeldorp, S., Es, Nick van, and Grp, YEARS Study
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- 2023
23. Immediate total-body CT scanning versus conventional imaging and selective CT scanning in patients with severe trauma (REACT-2): a randomised controlled trial
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Sierink, Joanne C, Treskes, Kaij, Edwards, Michael J R, Beuker, Benn J A, den Hartog, Dennis, Hohmann, Joachim, Dijkgraaf, Marcel G W, Luitse, Jan S K, Beenen, Ludo F M, Hollmann, Markus W, and Goslings, J Carel
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- 2016
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24. Type of intracranial hemorrhage after endovascular stroke treatment: association with functional outcome.
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van der Steen, Wouter, van der Ende, Nadinda A. M., Luijten, Sven P. R., Rinkel, Leon A., van Kranendonk, Katinka R., van Voorst, Henk, Roosendaal, Stefan D., Beenen, Ludo F. M., Coutinho, Jonathan M., and Emmer, Bart J.
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STATISTICS ,SCIENTIFIC observation ,CEREBRAL hemorrhage ,CONFIDENCE intervals ,INTRACRANIAL hemorrhage ,MULTIPLE regression analysis ,REGRESSION analysis ,TREATMENT effectiveness ,SUBARACHNOID hemorrhage ,COMPARATIVE studies ,DESCRIPTIVE statistics ,SUBDURAL hematoma ,RESEARCH funding ,ENDOVASCULAR surgery ,DATA analysis - Abstract
Background Intracranial hemorrhage (ICH) is a frequent complication after endovascular stroke treatment. Objective To assess the association of the occurrence and type of ICH after endovascular treatment (EVT) with functional outcome. Methods We analyzed data from the MR CLEANNO IV and MR CLEAN- MED trials. Both trials included adult patients with ischemic stroke with a large vessel occlusion in the anterior circulation, who were eligible for EVT. ICH was classified (1) as asymptomatic or symptomatic (concomitant neurological deterioration of ≥4 points on the NIHSS, or ≥2 points on 1 NIHSS item), and (2) according to the Heidelberg Bleeding Classification. We used multivariable ordinal logistic regression analyses to assess the association of the occurrence and type of ICH with the modified Rankin Scale score at 90 days. Results Of 1017 included patients, 331 (33%) had an asymptomatic ICH, and 90 (9%) had a symptomatic ICH. Compared with no ICH, both asymptomatic (adjusted common OR (acOR)=0.76; 95% CI 0.58 to 0.98) and symptomatic (acOR=0.07; 95% CI 0.04 to 0.14) ICH were associated with worse functional outcome. In particular, isolated parenchymal hematoma type 2 (acOR=0.37; 95% CI 0.14 to 0.95), combined parenchymal hematoma with hemorrhage outside infarcted brain tissue (acOR=0.17; 95% CI 0.10 to 0.30), and combined hemorrhages outside infarcted brain tissue (acOR=0.14; 95% CI 0.03 to 0.74) were associated with worse functional outcome than no ICH. Strength of the association of ICH with functional outcome depends on the type of ICH. Although the association is stronger for symptomatic ICH, asymptomatic ICH after EVT is also associated with worse functional outcome. [ABSTRACT FROM AUTHOR]
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- 2023
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25. Normal variation of mandibular asymmetry in children
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Vespasiano, Valeria, primary, Klop, Cornelis, additional, Mulder, Catharina S., additional, Koolstra, Jan H., additional, Lobé, Nicolaas H. J., additional, Beenen, Ludo. F. M, additional, Nolte, Jitske W., additional, and Becking, Alfred G., additional
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- 2023
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26. Type of intracranial hemorrhage after endovascular stroke treatment: association with functional outcome
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van der Steen, Wouter, primary, van der Ende, Nadinda A M, additional, Luijten, Sven P R, additional, Rinkel, Leon A, additional, van Kranendonk, Katinka R, additional, van Voorst, Henk, additional, Roosendaal, Stefan D, additional, Beenen, Ludo F M, additional, Coutinho, Jonathan M, additional, Emmer, Bart J, additional, van Oostenbrugge, Robert J, additional, Majoie, Charles B L.M, additional, Lingsma, Hester F, additional, van der Lugt, Aad, additional, Dippel, Diederik W J, additional, and Roozenbeek, Bob, additional
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- 2022
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27. Thrombus imaging characteristics within acute ischemic stroke: similarities and interdependence.
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Terreros, Nerea Arrarte, Bruggeman, Agnetha A. E., Kappelhof, Manon, Tolhuisen, Manon L., Brouwer, Josje, Hoving, Jan W., Konduri, Praneeta R., van Kranendonk, Katinka R., Dutra, Bruna G., Alves, Heitor C. B. R., Dippel, Diederik W. J., van Zwam, Wim H., Beenen, Ludo F. M., Yo, Lonneke S. F., van Bavel, Ed, Majoie, Charles B. L. M., and Marquering, Henk A.
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REPORTING of diseases ,CAROTID artery ,STATISTICS ,ISCHEMIC stroke ,CEREBRAL circulation ,DIAGNOSTIC imaging ,SEVERITY of illness index ,TREATMENT effectiveness ,DATABASE management ,RESEARCH funding ,DESCRIPTIVE statistics ,CAROTID artery thrombosis ,DATA analysis ,CLUSTER analysis (Statistics) ,PREDICTION models - Abstract
Background The effects of thrombus imaging characteristics on procedural and clinical outcomes after ischemic stroke are increasingly being studied. These thrombus characteristics -- for eg, size, location, and density -- are commonly analyzed as separate entities. However, it is known that some of these thrombus characteristics are strongly related. Multicollinearity can lead to unreliable prediction models. We aimed to determine the distribution, correlation and clustering of thrombus imaging characteristics based on a large dataset of anterior-circulation acute ischemic stroke patients. Methods We measured thrombus imaging characteristics in the MR CLEAN Registry dataset, which included occlusion location, distance from the intracranial carotid artery to the thrombus (DT), thrombus length, density, perviousness, and clot burden score (CBS). We assessed intercorrelations with Spearman's coefficient (ρ) and grouped thrombi based on 1) occlusion location and 2) thrombus length, density and perviousness using unsupervised clustering. Results We included 934 patients, of which 22% had an internal carotid artery (ICA) occlusion, 61% M1, 16% M2, and 1% another occlusion location. All thrombus characteristics were significantly correlated. Higher CBS was strongly correlated with longer DT (ρ=0.67, p<0.01), and moderately correlated with shorter thrombus length (ρ=-0.41, p<0.01). In more proximal occlusion locations, thrombi were significantly longer, denser, and less pervious. Unsupervised clustering analysis resulted in four thrombus groups; however, the cohesion within and distinction between the groups were weak. Conclusions Thrombus imaging characteristics are significantly intercorrelated -- strong correlations should be considered in future predictive modeling studies. Clustering analysis showed there are no distinct thrombus archetypes -- novel treatments should consider this thrombus variability. [ABSTRACT FROM AUTHOR]
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- 2023
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28. Collateral Capacity Assessment
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Yang, Wenjin, primary, Soomro, Jazba, additional, Jansen, Ivo G. H., additional, Venkatesh, Aashish, additional, Yoo, Albert J., additional, Lopes, Demetrius, additional, Beenen, Ludo F. M., additional, Emmer, Bart J., additional, Majoie, Charles B. L. M., additional, and Marquering, Henk A., additional
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- 2022
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29. Accuracy of CT perfusion ischemic core volume and location estimation: A comparison between four ischemic core estimation approaches using syngo.via
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Hoving, Jan W., primary, Koopman, Miou S., additional, Tolhuisen, Manon L., additional, Voorst, Henk van, additional, Brehm, Marcus, additional, Berkhemer, Olvert A., additional, Coutinho, Jonathan M., additional, Beenen, Ludo F. M., additional, Marquering, Henk A., additional, Emmer, Bart J., additional, and Majoie, Charles B. L. M., additional
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- 2022
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30. Mind the Heart: Diagnostic yield of ECG-gated cardiac CT in the acute phase of ischemic stroke versus transthoracic echocardiography: Mind the Heart
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Rinkel, Leon A., Guglielmi, Valeria, Beemsterboer, Chiel F. P., Groeneveld, Nina S., Lobe, Nick H.J., Boekholdt, Matthijs M., Bouma, Berto J., Muller, F. F., Beenen, Ludo F. M., Marquering, H, Majoie, Charles B. L. M., Roos, Yvo B. W. E. M., van Randen, Adrienne, Coutinho, Jonathan, Planken, RN, Radiology and Nuclear Medicine, ACS - Pulmonary hypertension & thrombosis, ACS - Atherosclerosis & ischemic syndromes, Neurology, Graduate School, 05 Neurology and psychiatry, ACS - Microcirculation, Amsterdam Neuroscience - Neurovascular Disorders, Paediatric Neurology, Cardiology, ACS - Heart failure & arrhythmias, Biomedical Engineering and Physics, and Amsterdam Neuroscience - Brain Imaging
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Acute Stroke, Cardiac Emboli, Computed Tomography Angiography - Abstract
Background: Guidelines recommend echocardiography to screen for structural sources of cardioembolism in patients with ischemic stroke. Cardiac CT is a promising alternative as a first-line screening method. We aimed to determine whether cardiac CT, acquired during the initial stroke imaging protocol, has a higher yield for detecting high-risk cardio-aortic sources of embolism than transthoracic echocardiography (TTE). Methods: We performed a prospective, single center, observational cohort study and included consecutive adult patients with acute ischemic stroke who underwent ECG-gated cardiac CT during the initial stroke imaging protocol. Patients also underwent routine stroke work-up, including TTE. The main outcome was the proportion of patients with a predefined high-risk cardio-aortic source of embolism on cardiac CT versus TTE in patients undergoing both investigations. Results: Between May 2018 and November 2020, 774 patients with a suspected ischemic stroke underwent hyperacute cardiac CT. We excluded 228 patients with a diagnosis other than ischemic stroke and 94 because they did not provide informed consent. Therefore, 452 patients (59.3% male, median age 72) were included. The median additional scan time of cardiac CT was 6 (interquartile range 5–7) minutes with poor scan quality in only 3%. In total, 350/452 (77.4%) patients underwent TTE, 99 of which were performed in an outpatient setting. Reasons for not undergoing TTE were: death (33, 7.3%) and TTE being too burdensome to perform in the outpatient setting (69, 15.3%). A high-risk cardio-aortic source of embolism was detected in 40/350 (11.4%) patients on CT, compared to 17/350 (4.9%) on TTE (odds ratio 5.60, 95%CI: 2.28–16.33). Cardiac thrombus was the most frequent finding (7.1% vs 0.6%). The diagnostic yield of cardiac CT in the full study population was 54/452 (12.2%). Among 175 patients with cryptogenic stroke after routine work-up, cardiac CT identified a cause of the stroke in 11 (6.3%). Discussion Cardiac CT acquired in the acute phase of ischemic stroke is technically feasible and has a superior diagnostic yield compared to TTE for the detection of high-risk sources of embolism. Cardiac CT may be considered as an alternative to TTE to screen for cardioembolism.
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- 2022
31. Ultra-low-dose CT versus chest X-ray for patients suspected of pulmonary disease at the emergency department: a multicentre randomised clinical trial .
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van den Berk, Inge A. H., Kanglie, Maadrika M. N. P., van Engelen, Tjitske S. R., Altenburg, Josje, Annema, Jouke T., Beenen, Ludo F. M., Boerrigter, Bart, Bomers, Marije K., Bresser, Paul, Eryigit, Elvin, Groenink, Maarten, Hochheimer, Suzanne M. R., Holleman, Frits, Kooter, Jos A. J., van Loon, Ramon B., Keijzers, Mitran, der Lee, Ivo van, Luijendijk, Paul, Meijboom, Lilian J., and Middeldorp, Saskia
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COUGH ,PULMONOLOGISTS ,ASPIRATION pneumonia ,LUNG diseases ,EMERGENCY nursing ,COMPUTED tomography ,HOSPITAL emergency services ,GENERAL practitioners ,RESPIRATORY infections - Published
- 2023
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32. Ultra-low-dose CT versus chest X-ray for patients suspected of pulmonary disease at the emergency department: a multicentre randomised clinical trial
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van den Berk, Inge A H, primary, Kanglie, Maadrika M N P, additional, van Engelen, Tjitske S R, additional, Altenburg, Josje, additional, Annema, Jouke T, additional, Beenen, Ludo F M, additional, Boerrigter, Bart, additional, Bomers, Marije K, additional, Bresser, Paul, additional, Eryigit, Elvin, additional, Groenink, Maarten, additional, Hochheimer, Suzanne M R, additional, Holleman, Frits, additional, Kooter, Jos A J, additional, van Loon, Ramon B, additional, Keijzers, Mitran, additional, van der Lee, Ivo, additional, Luijendijk, Paul, additional, Meijboom, Lilian J, additional, Middeldorp, Saskia, additional, Schijf, Laura J, additional, Soetekouw, Robin, additional, Sprengers, Ralf W, additional, Montauban van Swijndregt, Alexander D, additional, de Monyé, Wouter, additional, Ridderikhof, Milan L, additional, Winter, Michiel M, additional, Bipat, Shandra, additional, Dijkgraaf, Marcel G W, additional, Bossuyt, Patrick M M, additional, Prins, Jan M, additional, and Stoker, Jaap, additional
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- 2022
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33. Refining the criteria for immediate total-body CT after severe trauma
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Treskes, Kaij, Saltzherr, Teun P., Edwards, Michael J. R., Beuker, Benn J. A., van Lieshout, Esther M. M., Hohmann, Joachim, Luitse, Jan S. K., Beenen, Ludo F. M., Hollmann, Markus W., Dijkgraaf, Marcel G. W., Goslings, J. Carel, Sierink, J. C., van Dieren, S., de Jong, V. M., den Hartog, D., Hagenaars, T., Muradin, G. S. R., Bingisser, R., Zähringer, C., Bless, N., van Vugt, R., Tromp, T. N., Brink, M., ten Duis, K., Harbers, J. S., Wendt, K. W., Surgery, Faculteit Medische Wetenschappen/UMCG, Graduate School, AMS - Restoration & Development, APH - Methodology, Radiology and Nuclear Medicine, ACS - Microcirculation, ACS - Pulmonary hypertension & thrombosis, AGEM - Digestive immunity, AGEM - Re-generation and cancer of the digestive system, ANS - Neurovascular Disorders, ARD - Amsterdam Reproduction and Development, Anesthesiology, ACS - Heart failure & arrhythmias, Epidemiology and Data Science, and AMS - Musculoskeletal Health
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Adult ,Male ,PROTOCOLS ,medicine.medical_specialty ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,Whole body imaging ,Logistic regression ,RADIATION-EXPOSURE ,030218 nuclear medicine & medical imaging ,Multidetector computed tomography ,03 medical and health sciences ,All institutes and research themes of the Radboud University Medical Center ,0302 clinical medicine ,Injury Severity Score ,Trauma Centers ,Medicine ,Humans ,REACT-2 ,Radiology, Nuclear Medicine and imaging ,Whole Body Imaging ,BLUNT TRAUMA ,Neuroradiology ,Whole-body imaging ,Emergency Radiology ,Receiver operating characteristic ,medicine.diagnostic_test ,business.industry ,Patient Selection ,Wounds and injuries ,RADIOLOGY ,030208 emergency & critical care medicine ,Total body ,Interventional radiology ,Multiple trauma ,General Medicine ,Middle Aged ,Radiation Exposure ,Trauma care ,Prognosis ,POLYTRAUMA ,Reconstructive and regenerative medicine Radboud Institute for Molecular Life Sciences [Radboudumc 10] ,Logistic Models ,MULTISLICE COMPUTED-TOMOGRAPHY ,Severe trauma ,WHOLE ,Diagnostic imaging ,Female ,Radiology ,business - Abstract
Objectives Initial trauma care could potentially be improved when conventional imaging and selective CT scanning is omitted and replaced by immediate total-body CT (iTBCT) scanning. Because of the potentially increased radiation exposure by this diagnostic approach, proper selection of the severely injured patients is mandatory. Methods In the REACT-2 trial, severe trauma patients were randomized to iTBCT or conventional imaging and selective CT based on predefined criteria regarding compromised vital parameters, clinical suspicion of severe injuries, or high-risk trauma mechanisms in five trauma centers. By logistic regression analysis with backward selection on the 15 study inclusion criteria, a revised set of criteria was derived and subsequently tested for prediction of severe injury and shifts in radiation exposure. Results In total, 1083 patients were enrolled with median ISS of 20 (IQR 9–29) and median GCS of 13 (IQR 3–15). Backward logistic regression resulted in a revised set consisting of nine original and one adjusted criteria. Positive predictive value improved from 76% (95% CI 74–79%) to 82% (95% CI 80–85%). Sensitivity decreased by 9% (95% CI 7–11%). The area under the receiver operating characteristics curve remained equal and was 0.80 (95% CI 0.77–0.83), original set 0.80 (95% CI 0.77–0.83). The revised set retains 8.78 mSv (95% CI 6.01–11.56) for 36% of the non-severely injured patients. Conclusions Selection criteria for iTBCT can be reduced from 15 to 10 clinically criteria. This improves the positive predictive value for severe injury and reduces radiation exposure for less severely injured patients. Key Points • Selection criteria for iTBCT can be reduced to 10 clinically useful criteria. • This reduces radiation exposure in 36% of less severely injured patients. • Overall discriminative capacity for selection of severely injured patients remained equal.
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- 2020
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34. Advances in CT pulmonary angiography for pulmonary embolism
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Beenen, Ludo F. M., Middeldorp, Saskia, Stoker, Jaap, Amsterdam Neuroscience - Neurovascular Disorders, ACS - Microcirculation, ACS - Pulmonary hypertension & thrombosis, Radiology and Nuclear Medicine, and Graduate School
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- 2022
35. Additional file 1 of Latent class analysis of imaging and clinical respiratory parameters from patients with COVID-19-related ARDS identifies recruitment subphenotypes
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Filippini, Daan F. L., Di Gennaro, Elisa, van Amstel, Rombout B. E., Beenen, Ludo F. M., Grasso, Salvatore, Pisani, Luigi, Bos, Lieuwe D. J., and Smit, Marry R.
- Abstract
Additional file 1: formulas used. Figure S1: correlation plots. Stepwise description of discarded variables due to correlation. Missing data. Figure S2a: density plots of imputed variables. Figure S2b: strip plots of imputed variables. Table S1: main outcomes and transitions between complete case and imputation models. Figure S3a: profile plot of all recruitable subphenotypes. Figure S3b: profile plot of all non-recruitable subphenotypes. Figure S4: alluvial plot of patient flow among models. Table S2: changes per lung region. Figure S5a: changes in in end-expiratory lung volumes before and after recruitment. Figure S5b: changes in lung weight before and after recruitment. Figure S6a: volumes in different aeration regions before and after recruitment. Figure S6b: weight in different aeration regions before and after recruitment. Table S3: LASSO regression results. Table S4: GLM results of nested variable models. Table S5: AUROCs for variable subsets. Figure S7: ROC curves for variable subsets. Table S6a: Fine and Gray regression results of subphenotype membership and duration of MV. Table S6b: Cox regression results of subphenotype membership and survival. Figure S8: Kaplan-Meier plot of survival. Table S7. Goodness-of-fit tests. Figure S9: Shoenfeld plots for covariates used in survival analysis. Figure S10: Cumulative incidence plot using only complete case analyses. Figure S11: Kaplan-Meier using only complete cases. Table S8a: Fine and Gray regression results of subphenotype membership and duration of MV using complete cases only. Table S8b: Cox regression results of subphenotype membership and survival using complete cases only. References of supplementary materials.
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- 2022
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36. 3D movement correction of CT brain perfusion image data of patients with acute ischemic stroke
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Fahmi, Fahmi, Marquering, Henk A., Borst, Jordi, Streekstra, Geert J., Beenen, Ludo F. M., Niesten, Joris M., Velthuis, Birgitta K., Majoie, Charles B. L., vanBavel, Ed, and on behalf of the DUST study
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- 2014
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37. A Case-matched Series of Immediate Total-body CT Scanning Versus the Standard Radiological Work-up in Trauma Patients
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Sierink, Joanne C., Saltzherr, Teun Peter, Beenen, Ludo F. M., Russchen, Marjolein J. A. M., Luitse, Jan S. K., Dijkgraaf, Marcel G. W., and Goslings, J. Carel
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- 2014
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38. Time to Reperfusion and Treatment Effect for Acute Ischemic Stroke: A Randomized Clinical Trial
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Fransen, Puck S. S., Berkhemer, Olvert A., Lingsma, Hester F., Beumer, Debbie, van den Berg, Lucie A., Yoo, Albert J., Schonewille, Wouter J., Vos, Jan Albert, Nederkoorn, Paul J., Wermer, Marieke J. H., van Walderveen, Marianne A. A., Staals, Julie, Hofmeijer, Jeannette, van Oostayen, Jacques A., Lycklama à Nijeholt, Geert J., Boiten, Jelis, Brouwer, Patrick A., Emmer, Bart J., de Bruijn, Sebastiaan F., van Dijk, Lukas C., Kappelle, L. Jaap, Lo, Rob H., van Dijk, Ewoud J., de Vries, Joost, de Kort, Paul L. M., van den Berg, J. S. Peter, van Hasselt, Boudewijn A. A. M., Aerden, Leo A. M., Dallinga, René J., Visser, Marieke C., Bot, Joseph C. J., Vroomen, Patrick C., Eshghi, Omid, Schreuder, Tobien H. C. M. L., Heijboer, Roel J. J., Keizer, Koos, Tielbeek, Alexander V., den Hertog, Heleen M., Gerrits, Dick G., van den Berg-Vos, Renske M., Karas, Giorgos B., Steyerberg, Ewout W., Flach, H. Zwenneke, Marquering, Henk A., Sprengers, Marieke E. S., Jenniskens, Sjoerd F. M., Beenen, Ludo F. M., van den Berg, René, Koudstaal, Peter J., van Zwam, Wim H., Roos, Yvo B.W. E. M., van Oostenbrugge, Robert J., Majoie, Charles B. L. M., van der Lugt, Aad, and Dippel, Diederik W. J.
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- 2016
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39. Incidence of Air Leaks in Critically Ill Patients with Acute Hypoxemic Respiratory Failure Due to COVID-19.
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Goossen, Robin L., Verboom, Mariëlle, Blacha, Mariëlle, Smesseim, Illaa, Beenen, Ludo F. M., Meenen, David M. P. van, Paulus, Frederique, and Schultz, Marcus J.
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ADULT respiratory distress syndrome ,PNEUMOMEDIASTINUM ,SUBCUTANEOUS emphysema ,CRITICALLY ill ,COVID-19 ,COMPUTED tomography - Abstract
Subcutaneous emphysema, pneumothorax and pneumomediastinum are well-known complications of invasive ventilation in patients with acute hypoxemic respiratory failure. We determined the incidences of air leaks that were visible on available chest images in a cohort of critically ill patients with acute hypoxemic respiratory failure due to coronavirus disease of 2019 (COVID-19) in a single-center cohort in the Netherlands. A total of 712 chest images from 154 patients were re-evaluated by a multidisciplinary team of independent assessors; there was a median of three (2–5) chest radiographs and a median of one (1–2) chest CT scans per patient. The incidences of subcutaneous emphysema, pneumothoraxes and pneumomediastinum present in 13 patients (8.4%) were 4.5%, 4.5%, and 3.9%. The median first day of the presence of an air leak was 18 (2–21) days after arrival in the ICU and 18 (9–22)days after the start of invasive ventilation. We conclude that the incidence of air leaks was high in this cohort of COVID-19 patients, but it was fairly comparable with what was previously reported in patients with acute hypoxemic respiratory failure in the pre-COVID-19 era. [ABSTRACT FROM AUTHOR]
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- 2023
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40. Hospital Variation in Time to Endovascular Treatment for Ischemic Stroke: What Is the Optimal Target for Improvement?
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den Hartog, Sanne J., primary, Lingsma, Hester F., additional, van Doormaal, Pieter‐Jan, additional, Hofmeijer, Jeannette, additional, Yo, Lonneke S. F., additional, Majoie, Charles B. L. M., additional, Dippel, Diederik W. J., additional, van der Lugt, Aad, additional, Roozenbeek, Bob, additional, Roos, Yvo B. W. E. M., additional, van Oostenbrugge, Robert J., additional, van Zwam, Wim H., additional, Boiten, Jelis, additional, Vos, Jan Albert, additional, Jansen, Ivo G. H., additional, Mulder, Maxim J. H. L., additional, Goldhoorn, Robert‐ Jan B., additional, Compagne, Kars C. J., additional, Kappelhof, Manon, additional, Brouwer, Josje, additional, den Hartog, Sanne J., additional, Hinsenveld, Wouter H., additional, van Es, Adriaan C. G. M., additional, Emmer, Bart J., additional, Coutinho, Jonathan M., additional, Schonewille, Wouter J., additional, Wermer, Marieke J. H., additional, van Walderveen, Marianne A. A., additional, Staals, Julie, additional, Martens, Jasper M., additional, Lycklama à Nijeholt, Geert J., additional, de Bruijn, Sebastiaan F., additional, van Dijk, Lukas C., additional, van der Worp, H. Bart, additional, Lo, Rob H., additional, van Dijk, Ewoud J., additional, Boogaarts, Hieronymus D., additional, de Vries, J., additional, de Kort, Paul L. M., additional, van Tuijl, Julia, additional, Peluso, Jo P., additional, Fransen, Puck, additional, van den Berg, Jan S. P., additional, van Hasselt, Boudewijn A. A. M., additional, Aerden, Leo A. M., additional, Dallinga, René J., additional, Uyttenboogaart, Maarten, additional, Eschgi, Omid, additional, Bokkers, Reinoud P. H., additional, Schreuder, Tobien H. C. M. L., additional, Heijboer, Roel J. J., additional, Keizer, Koos, additional, den Hertog, Heleen M., additional, Sturm, Emiel J. C., additional, Brouwers, Paul J. A. M., additional, Sprengers, Marieke E. S., additional, Jenniskens, Sjoerd F. M., additional, van den Berg, René, additional, Yoo, Albert J., additional, Beenen, Ludo F. M., additional, Postma, Alida A., additional, Roosendaal, Stefan D., additional, van der Kallen, Bas F. W., additional, van den Wijngaard, Ido R., additional, Bot, Joost, additional, Meijer, Anton, additional, Ghariq, Elyas, additional, van Proosdij, Marc P., additional, Menno Krietemeijer, G., additional, Gerrits, Dick, additional, Dinkelaar, Wouter, additional, Appelman, Auke P. A., additional, Hammer, Bas, additional, Pegge, Sjoert, additional, van der Hoorn, Anouk, additional, Vinke, Saman, additional, Zwenneke Flach, H, additional, Ghannouti, Naziha el, additional, Sterrenberg, Martin, additional, Pellikaan, Wilma, additional, Sprengers, Rita, additional, Elfrink, Marjan, additional, Simons, Michelle, additional, Vossers, Marjolein, additional, de Meris, Joke, additional, Vermeulen, Tamara, additional, Geerlings, Annet, additional, van Vemde, Gina, additional, Simons, Tiny, additional, Messchendorp, Gert, additional, Nicolaij, Nynke, additional, Bongenaar, Hester, additional, Bodde, Karin, additional, Kleijn, Sandra, additional, Lodico, Jasmijn, additional, Droste, Hanneke, additional, Wollaert, Maureen, additional, Verheesen, Sabrina, additional, Jeurrissen, D., additional, Bos, Erna, additional, Drabbe, Yvonne, additional, Sandiman, Michelle, additional, Aaldering, Nicoline, additional, Zweedijk, Berber, additional, Vervoort, Jocova, additional, Ponjee, Eva, additional, Romviel, Sharon, additional, Kanselaar, Karin, additional, Barning, Denn, additional, Venema, Esmee, additional, Chalos, Vicky, additional, Geuskens, Ralph R., additional, van Straaten, Tim, additional, Ergezen, Saliha, additional, Harmsma, Roger R. M., additional, Muijres, Daan, additional, de Jong, Anouk, additional, Berkhemer, Olvert A., additional, Boers, Anna M. M., additional, Huguet, J., additional, Groot, P. F. C., additional, Mens, Marieke A., additional, van Kranendonk, Katinka R., additional, Treurniet, Kilian M., additional, Tolhuisen, Manon L., additional, Alves, Heitor, additional, Weterings, Annick J., additional, Kirkels, Eleonora L. F., additional, Voogd, Eva J. H. F., additional, Schupp, Lieve M., additional, Collette, Sabine L., additional, Groot, Adrien E. D., additional, LeCouffe, Natalie E., additional, Konduri, Praneeta R., additional, Prasetya, Haryadi, additional, Arrarte‐Terreros, Nerea, additional, and Ramos, Lucas A., additional
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- 2021
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41. Prediction of chronic thromboembolic pulmonary hypertension with standardised evaluation of initial computed tomography pulmonary angiography performed for suspected acute pulmonary embolism
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Boon, Gudula J. A. M., primary, Ende-Verhaar, Yvonne M., additional, Beenen, Ludo F. M., additional, Coolen, Johan, additional, Delcroix, Marion, additional, Golebiowski, Marek, additional, Huisman, Menno V., additional, Mairuhu, Albert T. A., additional, Meijboom, Lilian J., additional, Middeldorp, Saskia, additional, Pruszczyk, Piotr, additional, van Rooden, Cornelis J., additional, Vonk Noordegraaf, Anton, additional, Kroft, Lucia J. M., additional, and Klok, Frederikus A., additional
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- 2021
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42. Intra-individual variation of upper airway measurements based on computed tomography
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Zhou, Ning, primary, Ho, Jean-Pierre T. F., additional, Klop, Cornelis, additional, Schreurs, Ruud, additional, Beenen, Ludo F. M., additional, Aarab, Ghizlane, additional, and de Lange, Jan, additional
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- 2021
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43. Early recanalization in large-vessel occlusion stroke patients transferred for endovascular treatment
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Arrarte Terreros, Nerea, primary, Bruggeman, Agnetha A E, additional, Swijnenburg, Isabella S J, additional, van Meenen, Laura C C, additional, Groot, Adrien E, additional, Coutinho, Jonathan M, additional, Roos, Yvo B W E M, additional, Emmer, Bart J, additional, Beenen, Ludo F M, additional, van Bavel, Ed, additional, Marquering, Henk A, additional, and Majoie, Charles B L M, additional
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- 2021
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44. Effect of First‐Pass Reperfusion on Outcome After Endovascular Treatment for Ischemic Stroke
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den Hartog, Sanne J., primary, Zaidat, Osama, additional, Roozenbeek, Bob, additional, van Es, Adriaan C. G. M., additional, Bruggeman, Agnetha A. E., additional, Emmer, Bart J., additional, Majoie, Charles B. L. M., additional, van Zwam, Wim H., additional, van den Wijngaard, Ido R., additional, van Doormaal, Pieter Jan, additional, Lingsma, Hester F., additional, Burke, James F., additional, Dippel, Diederik W. J., additional, van der Lugt, Aad, additional, Roos, Yvo B. W. E. M., additional, van Oostenbrugge, Robert J., additional, Boiten, Jelis, additional, Vos, Jan Albert, additional, Jansen, Ivo G. H., additional, Mulder, Maxim J. H. L., additional, Goldhoorn, Robert‐Jan B., additional, Compagne, Kars C. J., additional, Kappelhof, Manon, additional, Brouwer, Josje, additional, Hinsenveld, Wouter H., additional, Coutinho, Jonathan M., additional, Schonewille, Wouter J., additional, Wermer, Marieke J. H., additional, van Walderveen, Marianne A. A., additional, Staals, Julie, additional, Hofmeijer, Jeannette, additional, Martens, Jasper M., additional, Lycklama à Nijeholt, Geert J., additional, de Bruijn, Sebastiaan F., additional, van Dijk, Lukas C., additional, van der Worp, H. Bart, additional, Lo, Rob H., additional, van Dijk, Ewoud J., additional, Boogaarts, Hieronymus D., additional, de Vries, J., additional, de Kort, Paul L. M., additional, van Tuijl, Julia, additional, Peluso, Jo P., additional, Fransen, Puck, additional, van den Berg, Jan S. P., additional, van Hasselt, Boudewijn A. A. M., additional, Aerden, Leo A. M., additional, Dallinga, René J., additional, Uyttenboogaart, Maarten, additional, Eschgi, Omid, additional, Bokkers, Reinoud P. H., additional, Schreuder, Tobien H. C. M. L., additional, Heijboer, Roel J. J., additional, Keizer, Koos, additional, Yo, Lonneke S. F., additional, den Hertog, Heleen M., additional, Sturm, Emiel J. C., additional, Brouwers, Paul J. A. M., additional, Sprengers, Marieke E. S., additional, Jenniskens, Sjoerd F. M., additional, van den Berg, René, additional, Yoo, Albert J., additional, Beenen, Ludo F. M., additional, Postma, Alida A., additional, Roosendaal, Stefan D., additional, van der Kallen, Bas F. W., additional, Bot, Joost, additional, Meijer, Anton, additional, Ghariq, Elyas, additional, van Proosdij, Marc P., additional, Krietemeijer, G. Menno, additional, Gerrits, Dick, additional, Dinkelaar, Wouter, additional, Appelman, Auke P. A., additional, Hammer, Bas, additional, Pegge, Sjoert, additional, van der Hoorn, Anouk, additional, Vinke, Saman, additional, Flach, H. Zwenneke, additional, el Ghannouti, Naziha, additional, Sterrenberg, Martin, additional, Pellikaan, Wilma, additional, Sprengers, Rita, additional, Elfrink, Marjan, additional, Simons, Michelle, additional, Vossers, Marjolein, additional, de Meris, Joke, additional, Vermeulen, Tamara, additional, Geerlings, Annet, additional, van Vemde, Gina, additional, Simons, Tiny, additional, Messchendorp, Gert, additional, Nicolaij, Nynke, additional, Bongenaar, Hester, additional, Bodde, Karin, additional, Kleijn, Sandra, additional, Lodico, Jasmijn, additional, Droste, Hanneke, additional, Wollaert, Maureen, additional, Verheesen, Sabrina, additional, Jeurrissen, D., additional, Bos, Erna, additional, Drabbe, Yvonne, additional, Sandiman, Michelle, additional, Aaldering, Nicoline, additional, Zweedijk, Berber, additional, Vervoort, Jocova, additional, Ponjee, Eva, additional, Romviel, Sharon, additional, Kanselaar, Karin, additional, Barning, Denn, additional, Venema, Esmee, additional, Chalos, Vicky, additional, Geuskens, Ralph R., additional, van Straaten, Tim, additional, Ergezen, Saliha, additional, Harmsma, Roger R. M., additional, Muijres, Daan, additional, de Jong, Anouk, additional, Berkhemer, Olvert A., additional, Boers, Anna M. M., additional, Huguet, J., additional, Groot, P. F. C., additional, Mens, Marieke A., additional, van Kranendonk, Katinka R., additional, Treurniet, Kilian M., additional, Tolhuisen, Manon L., additional, Alves, Heitor, additional, Weterings, Annick J., additional, Kirkels, Eleonora L. F., additional, Voogd, Eva J. H. F., additional, Schupp, Lieve M., additional, Collette, Sabine L., additional, Groot, Adrien E. D., additional, LeCouffe, Natalie E., additional, Konduri, Praneeta R., additional, Prasetya, Haryadi, additional, Arrarte‐Terreros, Nerea, additional, and Ramos, Lucas A., additional
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- 2021
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45. Classifying the diagnosis of study participants in clinical trials: a structured and efficient approach
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van Engelen, Tjitske S. R., Kanglie, Maadrika M. N. P., van den Berk, Inge A. H., Bouwman, Merel L. J., Suhooli, Hind J. M., Heckert, Sascha L., Stoker, Jaap, Bossuyt, Patrick M. M., Prins, Jan M., Annema, Jouke, Beenen, Ludo F. M., Bipat, Shandra, Bresser, Paul, Dijkgraaf, Marcel, Donker, Jos, Frankemölle, Betty, Groenink, Maarten, Hochheimer, Suzanne M. R., Holleman, Frits, Hulzebosch, Dorine, Keijzers, Mitran, van der Lee, Ivo, Leenhouts, Peter, Luitse, Jan, Meijboom, Lilian J., Middeldorp, Saskia, Montauban van Swijndregt, Alexander, de Monyé, Wouter, Otker, Jacqueline, Ridderikhof, Milan, Romijn, Johannes A., Schoonderwoerd, Antoinet J. N., Sprengers, Ralf W., Taal, Elizabeth M., Winter, Michiel, Graduate School, APH - Quality of Care, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Radiology and Nuclear Medicine, APH - Methodology, APH - Personalized Medicine, Epidemiology and Data Science, Infectious diseases, Pulmonology, ARD - Amsterdam Reproduction and Development, ACS - Pulmonary hypertension & thrombosis, ACS - Microcirculation, Cardiology, ACS - Heart failure & arrhythmias, Surgery, Vascular Medicine, AMS - Amsterdam Movement Sciences, Emergency Department, AMS - Musculoskeletal Health, ACS - Diabetes & metabolism, ACS - Amsterdam Cardiovascular Sciences, Internal medicine, and Radiology and nuclear medicine
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lcsh:Medical physics. Medical radiology. Nuclear medicine ,Adult ,Lung Diseases ,Male ,medicine.medical_specialty ,Students, Medical ,lcsh:R895-920 ,Concordance ,Guidelines as Topic ,Computed tomography ,030204 cardiovascular system & hematology ,Radiation Dosage ,03 medical and health sciences ,0302 clinical medicine ,Methods ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,030212 general & internal medicine ,Netherlands ,Neuroradiology ,Emergency service (hospital) ,medicine.diagnostic_test ,Tomography x-ray ,business.industry ,Radiography (thoracic) ,Internship and Residency ,Interventional radiology ,Workload ,Emergency department ,computed ,Confidence interval ,Clinical trial ,Observer variation ,Family medicine ,Female ,Radiography, Thoracic ,Original Article ,Clinical Competence ,Emergency Service, Hospital ,Tomography, X-Ray Computed ,business - Abstract
Background A challenge in imaging research is a diagnostic classification of study participants. We hypothesised that a structured approach would be efficient and that classification by medical students, residents, and an expert panel whenever necessary would be as valid as classification of all patients by experts. Methods OPTIMACT is a randomised trial designed to evaluate the effectiveness of replacing chest x-ray for ultra-low-dose chest computed tomography (CT) at the emergency department. We developed a handbook with diagnostic guidelines and randomly selected 240 cases from 2,418 participants enrolled in OPTIMACT. Each case was independently classified by two medical students and, if they disagreed, by the students and a resident in a consensus meeting. Cases without consensus and cases classified as complex were assessed by a panel of medical specialists. To evaluate the validity, 60 randomly selected cases not referred to the panel by the students and the residents were reassessed by the specialists. Results Overall, the students and, if necessary, residents were able to assign a diagnosis in 183 of the 240 cases (76% concordance; 95% confidence interval [CI] 71–82%). We observed agreement between students and residents versus medical specialists in 50/60 cases (83% concordance; 95% CI 74–93%). Conclusions A structured approach in which study participants are assigned diagnostic labels by assessors with increasing levels of medical experience was an efficient and valid classification method, limiting the workload for medical specialists. We presented a viable option for classifying study participants in large-scale imaging trials (Netherlands National Trial Register number NTR6163).
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- 2020
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46. National Institutes of Health Stroke Scale: An Alternative Primary Outcome Measure for Trials of Acute Treatment for Ischemic Stroke
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Chalos, Vicky, van der Ende, Nadinda A. M., Lingsma, Hester F., Mulder, Maxim J. H. L., Venema, Esmee, Dijkland, Simone A., Berkhemer, Olvert A., Yoo, Albert J., Broderick, Joseph P., Palesch, Yuko Y., Yeatts, Sharon D., Roos, Yvo B. W. E. M., van Oostenbrugge, Robert J., van Zwam, Wim H., Majoie, Charles B. L. M., van der Lugt, Aad, Roozenbeek, Bob, Dippel, Diederik W. J., Fransen, Puck S. S., Beumer, Debbie, van den Berg, Lucie A., Schonewille, Wouter J., Vos, Jan Albert, Nederkoorn, Paul J., Wermer, Marieke J. H., van Walderveen, Marianne A. A., Staals, Julie, Hofmeijer, Jeannette, van Oostayen, Jacques A., Nijeholt, Geert J. Lycklama A., Boiten, Jelis, Brouwer, Patrick A., Emmer, Bart J., de Bruijn, Sebastiaan F., van Dijk, Lukas C., Kappelle, L. Jaap, Lo, Rob H., van Dijk, Ewoud J., de Vries, Joost, de Kort, Paul L. M., van Rooij, Willem Jan J., van den Berg, Jan S. P., van Hasselt, Boudewijn A. A. M., Aerden, Leo A. M., Dallinga, Rene J., Visser, Marieke C., Bot, Joseph C. J., Vroomen, Patrick C., Eshghi, Omid, Schreuder, Tobien H. C. M. L., Heijboer, Roel J. J., Keizer, Koos, Tielbeek, Alexander V., den Hertog, Heleen M., Gerrits, Dick G., van den Berg-Vos, Renske M., Karas, Giorgos B., Steyerberg, Ewout W., Flach, H. Zwenneke, Marquering, Henk A., Sprengers, Marieke E. S., Jenniskens, Sjoerd F. M., Beenen, Ludo F. M., van den Berg, Rene, Koudstaal, Peter J., Radiology and nuclear medicine, VU University medical center, Neurology, Amsterdam Neuroscience - Neurovascular Disorders, ACS - Atherosclerosis & ischemic syndromes, Public Health, Radiology & Nuclear Medicine, Radiology and Nuclear Medicine, ANS - Neurovascular Disorders, ACS - Microcirculation, ACS - Amsterdam Cardiovascular Sciences, Graduate School, ACS - Pulmonary hypertension & thrombosis, AGEM - Digestive immunity, AGEM - Re-generation and cancer of the digestive system, ARD - Amsterdam Reproduction and Development, MUMC+: MA Neurologie (3), Klinische Neurowetenschappen, MUMC+: Hersen en Zenuw Centrum (3), RS: Carim - B05 Cerebral small vessel disease, Beeldvorming, MUMC+: DA BV Medisch Specialisten Radiologie (9), RS: Carim - B06 Imaging, MUMC+: MA AIOS Neurologie (9), and MUMC+: MA Med Staf Spec Neurologie (9)
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Male ,endovascular treatment ,Original Contributions ,030204 cardiovascular system & hematology ,law.invention ,Brain Ischemia ,0302 clinical medicine ,Randomized controlled trial ,Modified Rankin Scale ,Informed consent ,law ,Stroke ,Netherlands ,Confounding ,Endovascular Procedures ,informed consent ,Middle Aged ,Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] ,stroke ,3. Good health ,thrombectomy ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,outcome ,Female ,Cardiology and Cardiovascular Medicine ,SURROGATE END-POINTS ,CLINICAL-TRIALS ,medicine.medical_specialty ,Mechanical Thrombolysis ,ENDOVASCULAR THERAPY ,Clinical Sciences ,03 medical and health sciences ,ALTEPLASE ,Internal medicine ,medicine ,Humans ,cardiovascular diseases ,PLASMINOGEN-ACTIVATOR ,Aged ,Advanced and Specialized Nursing ,Surrogate endpoint ,business.industry ,Other Research Radboud Institute for Health Sciences [Radboudumc 0] ,Odds ratio ,medicine.disease ,United States ,RANDOMIZED-TRIAL ,Clinical trial ,SEVERITY ,National Institutes of Health (U.S.) ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Follow-Up Studies ,NIHSS - Abstract
Supplemental Digital Content is available in the text., Background and Purpose— The modified Rankin Scale (mRS) at 3 months is the most commonly used primary outcome measure in stroke treatment trials, but it lacks specificity and requires long-term follow-up interviews, which consume time and resources. An alternative may be the National Institutes of Health Stroke Scale (NIHSS), early after stroke. Our aim was to evaluate whether the NIHSS assessed within 1 week after treatment could serve as a primary outcome measure for trials of acute treatment for ischemic stroke. Methods— We used data from 2 randomized controlled trials of endovascular treatment for ischemic stroke: the positive MR CLEAN (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands; N=500) and the neutral IMS (Interventional Management of Stroke) III trial (N=656). We used a causal mediation model, with linear and ordinal logistic regression adjusted for confounders, to evaluate the NIHSS 24 hours and 5 to 7 days after endovascular treatment as primary outcome measures (instead of the mRS at 3 months) in both trials. Patients who had died before the NIHSS was assessed received the maximum score of 42. NIHSS+1 was then log10-transformed. Results— In both trials, there was a significant correlation between the NIHSS at 24 hours and 5 to 7 days and the mRS. In MR CLEAN, we found a significant effect of endovascular treatment on the mRS and on the NIHSS at 24 hours and 5 to 7 days. After adjustment for NIHSS at 24 hours and 5 to 7 days, the effect of endovascular treatment on the mRS decreased from common odds ratio 1.68 (95% CI, 1.22–2.32) to respectively 1.36 (95% CI, 0.97–1.91) and 1.24 (95% CI, 0.87–1.79), indicating that treatment effect on the mRS is in large part mediated by the NIHSS. In the IMS III trial there was no treatment effect on the NIHSS at 24 hours and 5 to 7 days, corresponding with the absence of a treatment effect on the mRS. Conclusions— The NIHSS within 1 week satisfies the requirements for a surrogate end point and may be used as a primary outcome measure in trials of acute treatment for ischemic stroke, particularly in phase II(b) trials. This could reduce stroke-outcome assessment to its essentials (ie, neurological deficit), and reduce trial duration and costs. Whether and under which conditions it could be used in phase III trials requires a debate in the field with all parties. Clinical Trial Registration— URL: http://www.isrctn.com. Unique identifier: ISRCTN10888758; https://www.clinicaltrials.gov. Unique identifier: NCT00359424.
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- 2020
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47. Combined Effect of Age and Baseline Alberta Stroke Program Early Computed Tomography Score on Post-Thrombectomy Clinical Outcomes in the MR CLEAN Registry
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Ospel, Johanna, Kappelhof, Manon, Groot, Adrien E., LeCouffe, Natalie E., Coutinho, Jonathan M., Yoo, Albert J., Yo, Lonneke S. F., Beenen, Ludo F. M., van Zwam, Wim H., van der Lugt, Aad, Postma, Alida A., Roos, Yvo B. W. E. M., Goyal, Mayank, Majoie, Charles B. L. M., MR CLEAN Registry Investigators, van Oostenbrugge, Robert Jan, Ospel, Johanna, Kappelhof, Manon, Groot, Adrien E., LeCouffe, Natalie E., Coutinho, Jonathan M., Yoo, Albert J., Yo, Lonneke S. F., Beenen, Ludo F. M., van Zwam, Wim H., van der Lugt, Aad, Postma, Alida A., Roos, Yvo B. W. E. M., Goyal, Mayank, Majoie, Charles B. L. M., MR CLEAN Registry Investigators, and van Oostenbrugge, Robert Jan
- Abstract
Background and Purpose:Ischemic brain tissue damage in patients with acute ischemic stroke, as measured by the Alberta Stroke Program Early CT Score (ASPECTS) may be more impactful in older than in younger patients, although this has not been studied. We aimed to investigate a possible interaction effect between age and ASPECTS on functional outcome in acute ischemic stroke patients undergoing endovascular treatment, and compared reperfusion benefit across age and ASPECTS subgroups.Methods:Patients with ischemic stroke from the MR CLEAN Registry (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands; March 2014-November 2017) were included. Multivariable ordinal logistic regression was performed to obtain effect size estimates (adjusted common odds ratio) on functional outcome (modified Rankin Scale score) for continuous age and granular ASPECTS, with a 2-way multiplicative interaction term (agexASPECTS). Outcomes in four patient subgroups based on age (
= median age [71.8 years]) and baseline ASPECTS (6-10 versus 0-5) were assessed.Results:We included 3279 patients. There was no interaction between age and ASPECTS on modified Rankin Scale (P=0.925). The highest proportion of modified Rankin Scale 5 to 6 was observed in patients >71.8 years with baseline ASPECTS 0 to 5 (68/107, 63.6%). There was benefit of reperfusion in all age-ASPECTS subgroups. Although the adjusted common odds ratio was lower in patients >71.8 years with ASPECTS 0 to 5 (adjusted common odds ratio, 1.60 [95% CI, 0.66-3.88], n=110), there was no significant difference from the main effect (P=0.299).Conclusions:Although the proportion of poor outcomes following endovascular treatment was highest in older patients with low baseline ASPECTS, outcomes did not significantly differ from the main effect. These results do not support withholding endovascular treatment based n a co - Published
- 2020
48. From perviousness to permeability, modelling and measuring intra-thrombus flow in acute ischemic stroke
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Beeldverwerking ISI, Cancer, Brain, Fysica Radiologie, Arrarte Terreros, Nerea, Tolhuisen, Manon L., Bennink, E, de Jong, Hugo, Beenen, Ludo F. M., Majoie, Charles B.L.M., van Bavel, Ed, Beeldverwerking ISI, Cancer, Brain, Fysica Radiologie, Arrarte Terreros, Nerea, Tolhuisen, Manon L., Bennink, E, de Jong, Hugo, Beenen, Ludo F. M., Majoie, Charles B.L.M., and van Bavel, Ed
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- 2020
49. Value of repeated imaging in patients with a stroke who are transferred for endovascular treatment
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van Meenen, Laura C C, primary, Arrarte Terreros, Nerea, additional, Groot, Adrien E, additional, Kappelhof, Manon, additional, Beenen, Ludo F M, additional, Marquering, Henk A, additional, Emmer, Bart J, additional, Roos, Yvo B W E M, additional, Majoie, Charles B L M, additional, and Coutinho, Jonathan M, additional
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- 2021
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50. Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience
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Schalekamp, Steven, primary, Bleeker-Rovers, Chantal P., additional, Beenen, Ludo F. M., additional, Quarles van Ufford, Henriette M. E., additional, Gietema, Hester A., additional, Stöger, J. Lauran, additional, Harris, Vanessa, additional, Reijers, Monique H. E., additional, Rahamat-Langendoen, Janette, additional, Korevaar, Daniel A., additional, Smits, Loek P., additional, Korteweg, Christine, additional, van Rees Vellinga, Tjalco F.D., additional, Vermaat, Marieke, additional, Stassen, Patricia M., additional, Scheper, Henk, additional, Wijnakker, Roos, additional, Borm, Frank J., additional, Dofferhoff, Anthonius S. M., additional, and Prokop, Mathias, additional
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- 2021
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