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317 results on '"Gietema, Hester"'

2. Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

Author

Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., and Vliegenthart, Rozemarijn

Published
2023
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3. Repurposing catheter ablation work-up to detect expiratory airflow limitation in patients with atrial fibrillation

Author

Hereijgers, Maartje J.M., van der Velden, Rachel M.J., el Moussaoui, Nora, Verhaert, Dominique V.M., Habibi, Zarina, Luermans, Justin, den Uijl, Dennis, Chaldoupi, Sevasti-Maria, Vernooy, Kevin, Schotten, Ulrich, Baumert, Mathias, Gietema, Hester A., Mihl, Casper, Koltowski, Lukasz, Franssen, Frits M.E., Simons, Sami O., and Linz, Dominik

Published
2023
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5. Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors

Author

Tohidinezhad, Fariba, Bontempi, Dennis, Zhang, Zhen, Dingemans, Anne-Marie, Aerts, Joachim, Bootsma, Gerben, Vansteenkiste, Johan, Hashemi, Sayed, Smit, Egbert, Gietema, Hester, Aerts, Hugo JWL., Dekker, Andre, Hendriks, Lizza E.L., Traverso, Alberto, and De Ruysscher, Dirk

Published
2023
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6. Automated detection and segmentation of non-small cell lung cancer computed tomography images

Author

Primakov, Sergey P., Ibrahim, Abdalla, van Timmeren, Janita E., Wu, Guangyao, Keek, Simon A., Beuque, Manon, Granzier, Renée W. Y., Lavrova, Elizaveta, Scrivener, Madeleine, Sanduleanu, Sebastian, Kayan, Esma, Halilaj, Iva, Lenaers, Anouk, Wu, Jianlin, Monshouwer, René, Geets, Xavier, Gietema, Hester A., Hendriks, Lizza E. L., Morin, Olivier, Jochems, Arthur, Woodruff, Henry C., and Lambin, Philippe

Published
2022
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9. Limited Additional Value of a Chest CT in Whole-Body Staging with PET-MRI: A Retrospective Cohort Study.

Author

Weijer, Tineke van de, van der Meer, Wilhelmina L., Moonen, Rik P. M., van Nijnatten, Thiemo J. A., Gietema, Hester A., Mitea, Cristina, van der Pol, Jochem A. J., Wildberger, Joachim E., and Mottaghy, Felix M.

Subjects
COMPUTED tomography, POSITRON emission tomography, MAGNETIC resonance imaging, RETROSPECTIVE studies, METASTASIS, LONGITUDINAL method, LUNG tumors, SENSITIVITY & specificity (Statistics)
Abstract

Simple Summary: PET/MRI systems are being installed world-wide for the staging of cancer. As this combines MRI and PET in one system, the application of these systems offers a one-stop-shop for staging in Oncology. However, one of the pitfalls of these systems is that the MRI of the PET/MRI systems is not very adequate for detecting lung nodules. In this study, we show that the most relevant long-nodules suspected of metastasis can be detected with PET; it remains questionable if missing the indeterminate lung nodules are of clinical relevance. Hybrid PET-MRI systems are being used more frequently. One of the drawbacks of PET-MRI imaging is its inferiority in detecting lung nodules, so it is often combined with a computed tomography (CT) of the chest. However, chest CT often detects additional, indeterminate lung nodules. The objective of this study was to assess the sensitivity of detecting metastatic versus indeterminate nodules with PET-MRI compared to chest CT. A total of 328 patients were included. All patients had a PET/MRI whole-body scan for (re)staging of cancer combined with an unenhanced chest CT performed at our center between 2014 and 2020. Patients had at least a two-year follow-up. Six percent of the patients had lung metastases at initial staging. The sensitivity and specificity of PET-MRI for detecting lung metastases were 85% and 100%, respectively. The incidence of indeterminate lung nodules on chest CT was 30%. The sensitivity of PET-MRI to detect indeterminate lung nodules was poor (23.0%). The average size of the indeterminate lung nodules detected on PET-MRI was 7 ± 4 mm, and the missed indeterminate nodules on PET-MRI were 4 ± 1 mm (p < 0.001). The detection of metastatic lung nodules is fairly good with PET-MRI, whereas the sensitivity of PET-MRI for detecting indeterminate lung nodules is size-dependent. This may be an advantage, limiting unnecessary follow-up of small, indeterminate lung nodules while adequately detecting metastases. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Serial markers of coagulation and inflammation and the occurrence of clinical pulmonary thromboembolism in mechanically ventilated patients with SARS-CoV-2 infection; the prospective Maastricht intensive care COVID cohort

Author

Mulder, Mark M. G., Brandts, LIoyd, Brüggemann, Renée A. G., Koelmann, Marcel, Streng, Alexander S., Olie, Renske H., Gietema, Hester A., Spronk, Henri M. H., van der Horst, Iwan C. C., Sels, Jan-Willem E. M., Wildberger, Joachim E., van Kuijk, Sander M. J., Schnabel, Ronny M., ten Cate, Hugo, Henskens, Yvonne M. C., and van Bussel, Bas C. T.

Published
2021
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11. Definition of Synchronous Oligometastatic Non–Small Cell Lung Cancer—A Consensus Report

Author

Dingemans, Anne-Marie C., Hendriks, Lizza E.L., Berghmans, Thierry, Levy, Antonin, Hasan, Baktiar, Faivre-Finn, Corinne, Giaj-Levra, Matteo, Giaj-Levra, Niccolò, Girard, Nicolas, Greillier, Laurent, Lantuéjoul, Sylvie, Edwards, John, O’Brien, Mary, Reck, Martin, Smit, Egbert F., Van Schil, Paul, Postmus, Pieter E., Ramella, Sara, Lievens, Yolande, Gaga, Mina, Peled, Nir, Scagliotti, Giorgio V., Senan, Suresh, Paz-Ares, Luiz, Guckenberger, Matthias, McDonald, Fiona, Ekman, Simon, Cufer, Tanja, Gietema, Hester, Infante, Maurizio, Dziadziuszko, Rafal, Peters, Solange, Porta, Ramon Rami, Vansteenkiste, Johan, Dooms, Christophe, de Ruysscher, Dirk, Besse, Benjamin, and Novello, Silvia

Published
2019
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14. Lung Ultrasound Prediction Model for Acute Respiratory Distress Syndrome: A Multicenter Prospective Observational Study

Author

Smit, Marry R., primary, Hagens, Laura A., additional, Heijnen, Nanon F. L., additional, Pisani, Luigi, additional, Cherpanath, Thomas G. V., additional, Dongelmans, Dave A., additional, de Grooth, Harm-Jan S., additional, Pierrakos, Charalampos, additional, Tuinman, Pieter Roel, additional, Zimatore, Claudio, additional, Paulus, Frederique, additional, Schnabel, Ronny M., additional, Schultz, Marcus J., additional, Bergmans, Dennis C. J. J., additional, Bos, Lieuwe D. J., additional, Smit, Marry R., additional, van der Ven, Fleur L. I. M., additional, Gietema, Hester A., additional, Gerretsen, Suzanne C., additional, Geven, Inge, additional, Nijsen, Tamara M. E., additional, and Verschueren, Alwin R. M., additional

Published
2023
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15. Yield of Screening for COVID-19 in Asymptomatic Patients Before Elective or Emergency Surgery Using Chest CT and RT-PCR (SCOUT): Multicenter Study

Author

Puylaert, Carl A. J., Scheijmans, Jochem C. G., Borgstein, Alexander B. J., Andeweg, Caroline S., Bartels-Rutten, Annemarieke, Beets, Geerard L., van Berge Henegouwen, Mark I., Braak, Sicco J., Couvreur, Roy, Daams, Freek, van Es, Hendrik W., Franken, Lotte C., Grotenhuis, Brechtje A., Hendriks, Eduard R., de Hingh, Ignace H. J. T., Hoeijmakers, Fieke, ten Holder, Joris T., Huisman, Peter M., Kazemier, Geert, van Kesteren, Floortje, van Kesteren, Jurre, Keywani, Kammy, Kuiper, Sara Z., Lange, Maurits D. J., Lobatto, Mark E., du Mée, Arthur W. F., Poeze, Martijn, van Praag, Elise M., van Rossen, Jorit, van Santvoort, Hjalmar C., Sedee, Wouter J. A., Seelen, Leonard W. F., Sharabiany, Sarah, Sosef, Nico L., Quanjel, Marian J. R., Veltman, Jeroen, Verhagen, Tim, van de Vlasakker, Vincent C. J., Weeder, Pepijn D., van Werven, Jochem R., Wesdorp, Nina J., van Dieren, Susan, Han, Alvin X., Russell, Colin A., de Jong, Menno D., Bossuyt, Patrick M. M., Quarles van Ufford, Jet M. E., Prokop, Mathias W., Gisbertz, Suzanne S., Prins, Jan M., Besselink, Marc G., Boermeester, Marja A., Gietema, Hester A., and Stoker, Jaap

Published
2020
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17. Multi-source data approach for personalized outcome prediction in lung cancer screening:update from the NELSON trial

Author

Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., Vliegenthart, Rozemarijn, Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., and Vliegenthart, Rozemarijn

Abstract

Trials show that low-dose computed tomography (CT) lung cancer screening in long-term (ex-)smokers reduces lung cancer mortality. However, many individuals were exposed to unnecessary diagnostic procedures. This project aims to improve the efficiency of lung cancer screening by identifying high-risk participants, and improving risk discrimination for nodules. This study is an extension of the Dutch-Belgian Randomized Lung Cancer Screening Trial, with a focus on personalized outcome prediction (NELSON-POP). New data will be added on genetics, air pollution, malignancy risk for lung nodules, and CT biomarkers beyond lung nodules (emphysema, coronary calcification, bone density, vertebral height and body composition). The roles of polygenic risk scores and air pollution in screen-detected lung cancer diagnosis and survival will be established. The association between the AI-based nodule malignancy score and lung cancer will be evaluated at baseline and incident screening rounds. The association of chest CT imaging biomarkers with outcomes will be established. Based on these results, multisource prediction models for pre-screening and post-baseline-screening participant selection and nodule management will be developed. The new models will be externally validated. We hypothesize that we can identify 15–20% participants with low-risk of lung cancer or short life expectancy and thus prevent ~140,000 Dutch individuals from being screened unnecessarily. We hypothesize that our models will improve the specificity of nodule management by 10% without loss of sensitivity as compared to assessment of nodule size/growth alone, and reduce unnecessary work-up by 40–50%., Trials show that low-dose computed tomography (CT) lung cancer screening in long-term (ex-)smokers reduces lung cancer mortality. However, many individuals were exposed to unnecessary diagnostic procedures. This project aims to improve the efficiency of lung cancer screening by identifying high-risk participants, and improving risk discrimination for nodules. This study is an extension of the Dutch-Belgian Randomized Lung Cancer Screening Trial, with a focus on personalized outcome prediction (NELSON-POP). New data will be added on genetics, air pollution, malignancy risk for lung nodules, and CT biomarkers beyond lung nodules (emphysema, coronary calcification, bone density, vertebral height and body composition). The roles of polygenic risk scores and air pollution in screen-detected lung cancer diagnosis and survival will be established. The association between the AI-based nodule malignancy score and lung cancer will be evaluated at baseline and incident screening rounds. The association of chest CT imaging biomarkers with outcomes will be established. Based on these results, multisource prediction models for pre-screening and post-baseline-screening participant selection and nodule management will be developed. The new models will be externally validated. We hypothesize that we can identify 15–20% participants with low-risk of lung cancer or short life expectancy and thus prevent ~140,000 Dutch individuals from being screened unnecessarily. We hypothesize that our models will improve the specificity of nodule management by 10% without loss of sensitivity as compared to assessment of nodule size/growth alone, and reduce unnecessary work-up by 40–50%.

Published
2023

18. Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

Author

IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A A, Gietema, Hester A, Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A, Donker, Hylke C, Aerts, Joachim G, Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J M, de Jong, Pim A, Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H, Vliegenthart, Rozemarijn, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A A, Gietema, Hester A, Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A, Donker, Hylke C, Aerts, Joachim G, Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J M, de Jong, Pim A, Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H, and Vliegenthart, Rozemarijn

Published
2023

19. Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

Author

MS Radiologie, Global Health, Child Health, Cancer, Researchgr. Systems Radiology, Circulatory Health, Infection & Immunity, Regenerative Medicine and Stem Cells, Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., Vliegenthart, Rozemarijn, MS Radiologie, Global Health, Child Health, Cancer, Researchgr. Systems Radiology, Circulatory Health, Infection & Immunity, Regenerative Medicine and Stem Cells, Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., and Vliegenthart, Rozemarijn

Published
2023

20. Repurposing Catheter Ablation Work-Up to Detect Expiratory Airflow Limitation in Patients with Atrial Fibrillation

Author

Hereijgers, Maartje, primary, van der Velden, Rachel, additional, el Moussaoui, Nora, additional, Verhaert, Dominique, additional, Habibi, Zarina, additional, Luermans, Justin GLM, additional, den Uijl, Dennis, additional, Chaldoupi, Sevasti-Maria, additional, Vernooy, Kevin, additional, Schotten, Ulrich, additional, Baumert, Mathias, additional, Gietema, Hester, additional, Mihl, Casper, additional, Koltowski, Lukasz, additional, Franssen, Frits M.E., additional, Simons, Sami, additional, and Linz, Dominik, additional

Published
2023
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23. Improvement of an interobserver agreement of ARDS diagnosis by adding additional imaging and a confidence scale

Author

Hagens, Laura A., primary, Van der Ven, Fleur L. I. M., additional, Heijnen, Nanon F. L., additional, Smit, Marry R., additional, Gietema, Hester A., additional, Gerretsen, Suzanne C., additional, Schultz, Marcus J., additional, Bergmans, Dennis C. J. J., additional, Schnabel, Ronny M., additional, and Bos, Lieuwe D. J., additional

Published
2022
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25. Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning

Author

Refaee, Turkey, primary, Salahuddin, Zohaib, additional, Frix, Anne-Noelle, additional, Yan, Chenggong, additional, Wu, Guangyao, additional, Woodruff, Henry C., additional, Gietema, Hester, additional, Meunier, Paul, additional, Louis, Renaud, additional, Guiot, Julien, additional, and Lambin, Philippe, additional

Published
2022
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27. Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC

Author

Keek, Simon A., Kayan, Esma, Chatterjee, Avishek, Belderbos, José S.A., Bootsma, Gerben, van den Borne, Ben, Dingemans, Anne Marie C., Gietema, Hester A., Groen, Harry J.M., Herder, Judith, Pitz, Cordula, Praag, John, De Ruysscher, Dirk, Schoenmaekers, Janna, Smit, Hans J.M., Stigt, Jos, Westenend, Marcel, Zeng, Haiyan, Woodruff, Henry C., Lambin, Philippe, Hendriks, Lizza, Keek, Simon A., Kayan, Esma, Chatterjee, Avishek, Belderbos, José S.A., Bootsma, Gerben, van den Borne, Ben, Dingemans, Anne Marie C., Gietema, Hester A., Groen, Harry J.M., Herder, Judith, Pitz, Cordula, Praag, John, De Ruysscher, Dirk, Schoenmaekers, Janna, Smit, Hans J.M., Stigt, Jos, Westenend, Marcel, Zeng, Haiyan, Woodruff, Henry C., Lambin, Philippe, and Hendriks, Lizza

Abstract

Introduction: Despite radical intent therapy for patients with stage III non-small-cell lung cancer (NSCLC), cumulative incidence of brain metastases (BM) reaches 30%. Current risk stratification methods fail to accurately identify these patients. As radiomics features have been shown to have predictive value, this study aims to develop a model combining clinical risk factors with radiomics features for BM development in patients with radically treated stage III NSCLC. Methods: Retrospective analysis of two prospective multicentre studies. Inclusion criteria: adequately staged [18F-fluorodeoxyglucose positron emission tomography-computed tomography (18-FDG-PET-CT), contrast-enhanced chest CT, contrast-enhanced brain magnetic resonance imaging/CT] and radically treated stage III NSCLC, exclusion criteria: second primary within 2 years of NSCLC diagnosis and prior prophylactic cranial irradiation. Primary endpoint was BM development any time during follow-up (FU). CT-based radiomics features (N = 530) were extracted from the primary lung tumour on 18-FDG-PET-CT images, and a list of clinical features (N = 8) was collected. Univariate feature selection based on the area under the curve (AUC) of the receiver operating characteristic was performed to identify relevant features. Generalized linear models were trained using the selected features, and multivariate predictive performance was assessed through the AUC. Results: In total, 219 patients were eligible for analysis. Median FU was 59.4 months for the training cohort and 67.3 months for the validation cohort; 21 (15%) and 17 (22%) patients developed BM in the training and validation cohort, respectively. Two relevant clinical features (age and adenocarcinoma histology) and four relevant radiomics features were identified as predictive. The clinical model yielded the highest AUC value of 0.71 (95% CI: 0.58–0.84), better than radiomics or a combination of clinical parameters and radiomics (both an AUC of

Published
2022

30. sj-docx-1-tam-10.1177_17588359221116605 – Supplemental material for Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC

Author

Keek, Simon A., Kayan, Esma, Chatterjee, Avishek, Belderbos, José S. A., Bootsma, Gerben, van den Borne, Ben, Dingemans, Anne-Marie C., Gietema, Hester A., Groen, Harry J. M., Herder, Judith, Pitz, Cordula, Praag, John, De Ruysscher, Dirk, Schoenmaekers, Janna, Smit, Hans J. M., Stigt, Jos, Westenend, Marcel, Zeng, Haiyan, Woodruff, Henry C., Lambin, Philippe, and Hendriks, Lizza

Subjects
110203 Respiratory Diseases, FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 111299 Oncology and Carcinogenesis not elsewhere classified
Abstract

Supplemental material, sj-docx-1-tam-10.1177_17588359221116605 for Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC by Simon A. Keek, Esma Kayan, Avishek Chatterjee, José S. A. Belderbos, Gerben Bootsma, Ben van den Borne, Anne-Marie C. Dingemans, Hester A. Gietema, Harry J. M. Groen, Judith Herder, Cordula Pitz, John Praag, Dirk De Ruysscher, Janna Schoenmaekers, Hans J. M. Smit, Jos Stigt, Marcel Westenend, Haiyan Zeng, Henry C. Woodruff, Philippe Lambin and Lizza Hendriks in Therapeutic Advances in Medical Oncology

Published
2022
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32. Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC

Author

Keek, Simon A., primary, Kayan, Esma, additional, Chatterjee, Avishek, additional, Belderbos, José S. A., additional, Bootsma, Gerben, additional, van den Borne, Ben, additional, Dingemans, Anne-Marie C., additional, Gietema, Hester A., additional, Groen, Harry J. M., additional, Herder, Judith, additional, Pitz, Cordula, additional, Praag, John, additional, De Ruysscher, Dirk, additional, Schoenmaekers, Janna, additional, Smit, Hans J. M., additional, Stigt, Jos, additional, Westenend, Marcel, additional, Zeng, Haiyan, additional, Woodruff, Henry C., additional, Lambin, Philippe, additional, and Hendriks, Lizza, additional

Published
2022
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34. Interobserver agreement for the ATS/ERS/JRS/ALAT criteria for a UIP pattern on CT

Author

Walsh, Simon L F, Calandriello, Lucio, Sverzellati, Nicola, Wells, Athol U, Hansell, David M, Jacob, Joseph, Devaraj, Anand, Gavelli, Giampaola, Nath, Hrudaya, Tashjian, Joseph, Tack, Denis, Monostori, Zsuzsanna, Johkoh, Takeshi, Davies, Anne, Zompatori, Maurizio, Polverosi, Roberta, Sassani, Ennio Vincenzo, R Ferretti, Gilbert, Zafer Karaman, Can, Sergiacomi, Gianluigi, Franquet, Tomas, Garg, Kavita, Mannion, Richard, Campos, Paula, Karl, Robert, Burrowes, Paul, Quagliarini, Franco, Norlen, Louise, Murchison, John T, Khalil, Antoine, Nayak, Sundeep M, Nchimi, Alain, Karabulut, Nevzat, Larici, Anna Rita, Matthews, Suzanne, Castañer, Eva, Arenas-Jimenez, Juan, Drosten, Ralph, Egashira, Ryoko, Lee, Hyun-Ju, Rossi, Santiago, Al-Raddadi, Mosleh, Oikonomou, Anastasia, Parkar, Anagha P, Brillet, Pierre Yves, de Paula, Wagner Diniz, Medart, Laurent, Poschenrieder, Florian, Pozek, Igor, Senbanjo, Taiwo, Marten-Engelke, Katharina, Euathrongchit, Juntima, Delaplain, Cal, Cortese, Giancarlo, Soardi, Gian Alberto, Grgic, Aleksandar, Kanne, Jeffrey, Muller, Michelle, Bruzzi, John, Jankowski, Adrien, Bozovic, Gracijela, Goncalves, Andrea, Roos, Justus, Vargas, Daniel, Elias, Mark, Bradford-Kennedy, Djenaba, Seaman, Danielle, Memauri, Brett, Chaudhary, Humera, Wong, Foong, Alegria, Julia, Guo, H Henry, Prosch, Helmut, Cantin, Luce, Serra, Goffredo, Baratella, Elisa, Silecchia, Rosalba, Icksan, Aziza, Wallis, Adam, Damani, Sidhdharth, Renapurkar, Rahul, Hare, Samanjit, Ciello, Annemilia del, Jung, Jennifer, Silva, Mario, Sonavane, Sushilkumar, Thomas, Sue, Beattie, Anna, Kislinger, Benedikt, Ca, Leo, Shroff, Girish, Gietema, Hester, Weerakkody, Yuranga, Hobbs, Stephen, Izumi, Shinyu, Kishaba, Tomoo, Shiraki, Akira, Waseda, Yuko, Castoldi, Maria Chiara, Herpels, Vincent, Pais, Antonio, Matus, Roger, Lubin, Enrico, Wilson, Ben, Mueller, Mathias, Alzubaidi, Shadha Ahmed, Ortiz, Alain, Sequeiros, lara, Bariga, Nicola Boscolo, Wills, Mark, Mak, Sze Mun, Aquaro, Giuseppe, Midia, Esin Cakmakci, Schembri, Nicola, Sheehan, Joseph A M, Farrugia, Alexia, Tomich, Jennifer, and Garcia-Hierro, J M Fernandez

Published
2016
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37. Towards Texture Accurate Slice Interpolation of Medical Images Using PixelMiner

Author

Roger, William, primary, Lambin, Philippe, additional, Keek, Simon, additional, Beuque, Manon, additional, Primakov, Sergey, additional, Lavrova, Elizaveta, additional, Wu, Guangyao, additional, Yan, Chengong, additional, Sanduleanu, Sebastian, additional, Gietema, Hester, additional, Casale, Roberto, additional, Occhipinti, Mariaelena, additional, Jochems, Arthur, additional, and Woodruff, Henry, additional

Published
2021
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39. Reply to Vijayakumar and Shah

Author

van Gassel, Rob J. J., primary, Bels, Julia L. M., additional, Gietema, Hester A., additional, Posthuma, Rein, additional, and van Santen, Susanne, additional

Published
2021
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40. Functional Outcomes and Their Association With Physical Performance in Mechanically Ventilated Coronavirus Disease 2019 Survivors at 3 Months Following Hospital Discharge: A Cohort Study

Author

van Gassel, Rob J. J., primary, Bels, Julia, additional, Remij, Loes, additional, van Bussel, Bas C. T., additional, Posthuma, Rein, additional, Gietema, Hester A., additional, Verbunt, Jeanine, additional, van der Horst, Iwan C. C., additional, Olde Damink, Steven W. M., additional, van Santen, Susanne, additional, and van de Poll, Marcel C. G., additional

Published
2021
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42. Additional file 1 of Impact of the COVID-19 pandemic on incidence and severity of acute appendicitis: a comparison between 2019 and 2020

Author

Scheijmans, Jochem C. G., Borgstein, Alexander B. J., Puylaert, Carl A. J., Bom, Wouter J., Bachiri, Said, Van Bodegraven, Eduard A., Amarins T. A. Brandsma, Brugge, Floor M. Ter, De Castro, Steve M. M., Couvreur, Roy, Franken, Lotte C., Gaspersz, Marcia P., De Graaff, Michelle R., Groenen, Hannah, Kleipool, Suzanne C., Kuypers, Toon J. L., Martens, Milou H., Mens, David M., Orsini, Ricardo G., Reneerkens, Nando J. M. M., Schok, Thomas, Sedee, Wouter J. A., Rad, Shahzad Tavakoli, Volders, José H., Weeder, Pepijn D., Prins, Jan M., Gietema, Hester A., Stoker, Jaap, Gisbertz, Suzanne S., Besselink, Marc G. H., and Boermeester, Marja A.

Abstract

Additional file 1: Figure S1. Duration of symptoms at presentation, cohort 2019 versus 2020. Table S1. Comparison of patients with uncomplicated appendicitis for 2019 pre-COVID cohort vs. 2020 COVID cohort. Table S2. Comparison of patients with complicated appendicitis and with symptoms for more than 24 h, 2019 pre-COVID cohort versus 2020 COVID cohort. Table S3. Comparison of patients with an age of 60 years or higher of the 2019 pre-COVID cohort and 2020 COVID cohort. Table S4. Comparison of conservatively treated patients with appendicitis, 2019 pre-COVID cohort versus 2020 COVID cohort. Table S5. Comparison of conservatively treated patients by final (imaging) diagnosis and imaging modality, 2019 pre-COVID cohort versus 2020 COVID cohort. Table S6. COVID-19 positive appendicitis patients.

Published
2021
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43. Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience

Author

Schalekamp, S., Bleeker-Rovers, C.P., Beenen, Ludo, Quarles van Ufford, Henriette M.E., Gietema, Hester A., Lauran Stoger, J., Reijers, M.H.E., Rahamat-Langendoen, J.C., Dofferhoff, A.S.M., Prokop, M., Schalekamp, S., Bleeker-Rovers, C.P., Beenen, Ludo, Quarles van Ufford, Henriette M.E., Gietema, Hester A., Lauran Stoger, J., Reijers, M.H.E., Rahamat-Langendoen, J.C., Dofferhoff, A.S.M., and Prokop, M.

Abstract

Contains fulltext : 231370.pdf (Publisher’s version ) (Closed access)

Published
2021

44. The prognostic value of weight and body composition changes in patients with non-small-cell lung cancer treated with nivolumab

Author

Degens, Juliette H.R.J., Dingemans, Anne Marie C., Willemsen, Anna C.H., Gietema, Hester A., Hurkmans, Daan P., Aerts, Joachim G., Hendriks, Lizza E.L., Schols, Annemie M.W.J., Degens, Juliette H.R.J., Dingemans, Anne Marie C., Willemsen, Anna C.H., Gietema, Hester A., Hurkmans, Daan P., Aerts, Joachim G., Hendriks, Lizza E.L., and Schols, Annemie M.W.J.

Abstract

Background: It is not well known to what extent effectiveness of treatment with immune checkpoint inhibitors in stage IV non-small-cell lung cancer (NSCLC) is influenced by weight loss and changes in body composition. Therefore, the goal of this study was to evaluate body composition changes in relation to early weight change and overall survival (OS) in stage IV NSCLC patients treated with second-line nivolumab. Methods: All patients with stage IV NSCLC, who were treated with second-line nivolumab between June 2015 and December 2018 at Maastricht University Medical Center, were evaluated. Skeletal muscle mass (SMM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) were assessed at the first lumbar level on computed tomography images obtained before initiation of nivolumab and at week 6 of treatment. The contribution of changes in body weight (defined as >2% loss), SMM, VAT, and SAT to OS was analysed by Kaplan–Meier method and adjusted for clinical confounders in a Cox regression analysis. The results from the study cohort were validated in another Dutch cohort from Erasmus Medical Center, Rotterdam. Results: One hundred and six patients were included in the study cohort. Loss of body weight of >2% at week 6 was an independent predictor for poor OS (hazard ratio 2.39, 95% confidence interval 1.51–3.79, P < 0.001) when adjusted for gender, >1 organ with metastasis, pretreatment hypoalbumenaemia, and pretreatment elevated C-reactive protein. The result was confirmed in the validation cohort (N = 62). Loss of SMM as a feature of cancer cachexia did not significantly predict OS in both cohorts. Significant (>2%) weight loss during treatment was reflected by a significant loss of VAT and SAT, while loss of SMM was comparable between weight-stable and weight-losing patients. Conclusions: Weight loss, characterized by loss of subcutaneous and visceral adipose tissues, at week 6 of treatment with nivolumab, is a significant poor progno

Published
2021

46. Management of lung nodules detected by volume CT scanning

Author

van Klaveren, Rob J., Scholten, Ernst T., Nackaerts, Kristiaan, Vernhout, Rene, Oudkerk, Matthijs, Prokop, Mathias, van Iersel, Carola A., van den Bergh, Karien A.M., van't Westeinde, Susan, van der Aalst, Carlijn, Thunnissen, Erik, Dong Ming Xu, Ying Wang, Yingru Zhao, Gietema, Hester A., de Hoop, Bart-Jan, Groen, Harry J.M, de Bock, Geertruida, H., van Ooijen, Peter, Weenink, Carla, Verschakelen, Johny, Lammers, Jan-Willem J., Timens, Wim, Willebrand, Dik, Vink, Aryan, Mali, Willem, and de Koning, Harry J.

Subjects
CT imaging -- Usage, CT imaging -- Health aspects, Lung cancer -- Diagnosis
Abstract

The study aims to evaluate the efficacy of multidetector computed tomography (CT) in the detection of noncalcified pulmonary nodules and lung cancer screening and problems associated with deciding the best course of action. The results indicated that in screened subjects that were evaluated, the chances of finding lung cancer 1 and 2 years after an earlier negative test were 1 in 1000 and 3 in 1000.

Published
2009

47. Coronary Artery Calcifications Are Associated With More Severe Multiorgan Failure in Patients With Severe Coronavirus Disease 2019 Infection: Longitudinal Results of the Maastricht Intensive Care COVID Cohort.

Author

Martens, Bibi, Driessen, Rob G.H., Brandts, Lloyd, Hoitinga, Puck, van Veen, Fauve, Driessen, Mariëlle, Weberndörfer, Vanessa, Kietselaer, Bas, Ghossein-Doha, Chahinda, Gietema, Hester A., Vernooy, Kevin, van der Horst, Iwan C.C., Wildberger, Joachim E., van Bussel, Bas C.T., Mihl, Casper, and MaastrICCht Collaborators

Published
2022
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48. Implementation of Bronchoscopic Lung Volume Reduction Using One-Way Endobronchial Valves: A Retrospective Single-Centre Cohort Study.

Author

Posthuma, Rein, Vaes, Anouk W., Walraven, Kim H. M., Sardari Nia, Peyman, Schreiber, Jan U., Gietema, Hester A., Wesseling, Geertjan, Wouters, Emiel F. M., and Vanfleteren, Lowie E. G. W.

Subjects
ACADEMIC medical centers, MINIMALLY invasive procedures, RETROSPECTIVE studies, HUMAN services programs, T-test (Statistics), COMPARATIVE studies, PRE-tests & post-tests, DESCRIPTIVE statistics, DATA analysis software, PNEUMONECTOMY, BRONCHOSCOPY, LONGITUDINAL method
Abstract

Background: Bronchoscopic lung volume reduction (BLVR) using 1-way endobronchial valves (EBV) has become a guideline treatment in patients with advanced emphysema. Evidence from this minimally invasive treatment derives mainly from well-designed controlled trials conducted in high-volume specialized intervention centres. Little is known about real-life outcome data in hospitals setting up this novel treatment and which favourable conditions are required for a continuous successful program. Objectives: In this study, we aim to evaluate the eligibility rate for BLVR and whether the implementation of BLVR in our academic hospital is feasible and yields clinically significant outcomes. Method: A retrospective evaluation of patients treated with EBV between January 2016 and August 2019 was conducted. COPD assessment test (CAT), forced expiratory volume in 1 s (FEV1), residual volume (RV), and 6-min walking test (6MWT) were measured at baseline and 3 months after intervention. Paired sample t tests were performed to compare means before and after intervention. Results: Of 350 subjects screened, 283 (81%) were not suitable for intervention mostly due to lack of a target lobe. The remaining 67 subjects (19%) underwent bronchoscopic assessment, and if suitable, valves were placed in the same session. In total, 55 subjects (16%) were treated with EBV of which 10 did not have complete follow-up: 6 subjects had their valves removed because of severe pneumothorax (n = 2) or lack of benefit (n = 4) and the remaining 4 had missing follow-up data. Finally, 45 patients had complete follow-up at 3 months and showed an average change ± SD in CAT −4 ± 6 points, FEV1 +190 ± 140 mL, RV −770 ± 790 mL, and +37 ± 65 m on the 6MWT (all p < 0.001). After 1-year follow-up, 34 (76%) subjects had their EBV in situ. Conclusion: Implementing BLVR with EBV is feasible and effective. Only 16% of screened patients were eligible, indicating that this intervention is only applicable in a small subset of highly selected subjects with advanced emphysema, and therefore a high volume of COPD patients is essential for a sustainable BLVR program. [ABSTRACT FROM AUTHOR]

Published
2022
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49. High Prevalence of Pulmonary Sequelae at 3 Months after Hospital Discharge in Mechanically Ventilated Survivors of COVID-19

Author

van Gassel, Rob J. J., primary, Bels, Julia L. M., additional, Raafs, Anne, additional, van Bussel, Bas C. T., additional, van de Poll, Marcel C. G., additional, Simons, Sami O., additional, van der Meer, Lieke W. L., additional, Gietema, Hester A., additional, Posthuma, Rein, additional, and van Santen, Susanne, additional

Published
2021
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50. Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience

Author

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

Published
2021
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