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5. Murray law-based quantitative flow ratio to assess left main bifurcation stenosis: selecting the angiographic projection matters

Author

Kotoku, Nozomi, Ninomiya, Kai, Ding, Daixin, O’Leary, Neil, Tobe, Akihiro, Miyashita, Kotaro, Masuda, Shinichiro, Kageyama, Shigetaka, Garg, Scot, Leipsic, Jonathon A., Mushtaq, Saima, Andreini, Daniele, Tanaka, Kaoru, de Mey, Johan, Wijns, William, Tu, Shengxian, Piazza, Nicolo, Onuma, Yoshinobu, and Serruys, Patrick W.

Published
2024
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6. CCTA-based CABG SYNTAX Score: a tool to evaluate completeness of coronary segment revascularization after bypass surgery

Author

Kotoku, Nozomi, Serruys, Patrick W., Kageyama, Shigetaka, Garg, Scot, Masuda, Shinichiro, Ninomiya, Kai, Grau, Juan B., Gupta, Himanshu, Agarwal, Vikram, Morel, Marie-Angèle, Doenst, Torsten, Schneider, Ulrich, Tanaka, Kaoru, LaMeir, Mark, Mushtaq, Saima, Gianluca, Pontone, Pompilio, Giulio, Teichgräber, Ulf, Puskas, John, Narula, Jagat, de Mey, Johan, Andreini, Daniele, and Onuma, Yoshinobu

Published
2023
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7. Treatment recommendation based on SYNTAX score 2020 derived from coronary computed tomography angiography and invasive coronary angiography

Author

Masuda, Shinichiro, Serruys, Patrick W., Kageyama, Shigetaka, Kotoku, Nozomi, Ninomiya, Kai, Garg, Scot, Soo, Alan, Morel, Marie-Angele, Puskas, John D., Narula, Jagat, Schneider, Ulrich, Doenst, Torsten, Tanaka, Kaoru, de Mey, Johan, La Meir, Mark, Bartorelli, Antonio L., Mushtaq, Saima, Pompilio, Giulio, Andreini, Daniele, and Onuma, Yoshinobu

Published
2023
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9. Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Author

Berenguer, Abel Díaz, Sahli, Hichem, Joukovsky, Boris, Kvasnytsia, Maryna, Dirks, Ine, Alioscha-Perez, Mitchel, Deligiannis, Nikos, Gonidakis, Panagiotis, Sánchez, Sebastián Amador, Brahimetaj, Redona, Papavasileiou, Evgenia, Chana, Jonathan Cheung-Wai, Li, Fei, Song, Shangzhen, Yang, Yixin, Tilborghs, Sofie, Willems, Siri, Eelbode, Tom, Bertels, Jeroen, Vandermeulen, Dirk, Maes, Frederik, Suetens, Paul, Fidon, Lucas, Vercauteren, Tom, Robben, David, Brys, Arne, Smeets, Dirk, Ilsen, Bart, Buls, Nico, Watté, Nina, de Mey, Johan, Snoeckx, Annemiek, Parizel, Paul M., Guiot, Julien, Deprez, Louis, Meunier, Paul, Gryspeerdt, Stefaan, De Smet, Kristof, Jansen, Bart, and Vandemeulebroucke, Jef

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Our motivating application is a real-world problem: COVID-19 classification from CT imaging, for which we present an explainable Deep Learning approach based on a semi-supervised classification pipeline that employs variational autoencoders to extract efficient feature embedding. We have optimized the architecture of two different networks for CT images: (i) a novel conditional variational autoencoder (CVAE) with a specific architecture that integrates the class labels inside the encoder layers and uses side information with shared attention layers for the encoder, which make the most of the contextual clues for representation learning, and (ii) a downstream convolutional neural network for supervised classification using the encoder structure of the CVAE. With the explainable classification results, the proposed diagnosis system is very effective for COVID-19 classification. Based on the promising results obtained qualitatively and quantitatively, we envisage a wide deployment of our developed technique in large-scale clinical studies.Code is available at https://git.etrovub.be/AVSP/ct-based-covid-19-diagnostic-tool.git.

Published
2020

10. Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Author

Tilborghs, Sofie, Dirks, Ine, Fidon, Lucas, Willems, Siri, Eelbode, Tom, Bertels, Jeroen, Ilsen, Bart, Brys, Arne, Dubbeldam, Adriana, Buls, Nico, Gonidakis, Panagiotis, Sánchez, Sebastián Amador, Snoeckx, Annemiek, Parizel, Paul M., de Mey, Johan, Vandermeulen, Dirk, Vercauteren, Tom, Robben, David, Smeets, Dirk, Maes, Frederik, Vandemeulebroucke, Jef, and Suetens, Paul

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use deep learning to provide fast and accurate quantification of COVID-19 using chest CT scans. The main tasks of interest are the automatic segmentation of lung and lung lesions in chest CT scans of confirmed or suspected COVID-19 patients. In this study, we compare twelve deep learning algorithms using a multi-center dataset, including both open-source and in-house developed algorithms. Results show that ensembling different methods can boost the overall test set performance for lung segmentation, binary lesion segmentation and multiclass lesion segmentation, resulting in mean Dice scores of 0.982, 0.724 and 0.469, respectively. The resulting binary lesions were segmented with a mean absolute volume error of 91.3 ml. In general, the task of distinguishing different lesion types was more difficult, with a mean absolute volume difference of 152 ml and mean Dice scores of 0.369 and 0.523 for consolidation and ground glass opacity, respectively. All methods perform binary lesion segmentation with an average volume error that is better than visual assessment by human raters, suggesting these methods are mature enough for a large-scale evaluation for use in clinical practice., Comment: Updated acknowledgments

Published
2020

12. Author Correction: A cross-sectional case–control study on the structural connectome in recovered hospitalized COVID-19 patients

Author

Lathouwers, Elke, Radwan, Ahmed, Blommaert, Jeroen, Stas, Lara, Tassignon, Bruno, Allard, Sabine D., De Ridder, Filip, De Waele, Elisabeth, Hoornaert, Nicole, Lacor, Patrick, Mertens, Rembert, Naeyaert, Maarten, Raeymaekers, Hubert, Seyler, Lucie, Vanbinst, Anne-Marie, Van Liedekerke, Lien, Van Schependom, Jeroen, Van Schuerbeek, Peter, Provyn, Steven, Roelands, Bart, Vandekerckhove, Marie, Meeusen, Romain, Sunaert, Stefan, Nagels, Guy, De Mey, Johan, and De Pauw, Kevin

Published
2023
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13. A cross-sectional case–control study on the structural connectome in recovered hospitalized COVID-19 patients

Author

Lathouwers, Elke, Radwan, Ahmed, Blommaert, Jeroen, Stas, Lara, Tassignon, Bruno, Allard, Sabine D., De Ridder, Filip, De Waele, Elisabeth, Hoornaert, Nicole, Lacor, Patrick, Mertens, Rembert, Naeyaert, Maarten, Raeymaekers, Hubert, Seyler, Lucie, Vanbinst, Anne-Marie, Van Liedekerke, Lien, Van Schependom, Jeroen, Van Schuerbeek, Peter, Provyn, Steven, Roelands, Bart, Vandekerckhove, Marie, Meeusen, Romain, Sunaert, Stefan, Nagels, Guy, De Mey, Johan, and De Pauw, Kevin

Published
2023
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16. Pulmonary Vein Remodeling Between Atrial Fibrillation Subtypes: A Matched Comparison Cardiac Computed Tomography-Based Study Between Patients With Paroxysmal and Persistent Atrial Fibrillation

Author

Housari, Maysam Al, Miraglia, Vincenzo, Terasawa, Muryo, Kazawa, Shuichiro, Monte, Alvise Del, Bala, Gezim, Pannone, Luigi, Della Rocca, Domenico Giovanni, Cosyns, Bernard, Droogmans, Steven, Tanaka, Kaoru, Belsack, Dries, De Mey, Johan, Overeinder, Ingrid, Almorad, Alexandre, Sieira, Juan, Brugada, Pedro, Sarkozy, Andrea, Chierchia, Gian-Battista, de Asmundis, Carlo, and Ströker, Erwin

Published
2023
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20. Pre-procedural planning of coronary revascularization by cardiac computed tomography: An expert consensus document of the Society of Cardiovascular Computed Tomography

Author

Andreini, Daniele, Collet, Carlos, Leipsic, Jonathon, Nieman, Koen, Bittencurt, Marcio, De Mey, Johan, Buls, Nico, Onuma, Yoshinobu, Mushtaq, Saima, Conte, Edoardo, Bartorelli, Antonio L., Stefanini, Giulio, Sonck, Jeroen, Knaapen, Paul, Ghoshhajra, Brian, and Serruys, Patrick

Published
2022
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22. Diagnostic concordance and discordance between angiography-based quantitative flow ratio and fractional flow reserve derived from computed tomography in complex coronary artery disease

Author

Kawashima, Hideyuki, Kogame, Norihiro, Ono, Masafumi, Hara, Hironori, Takahashi, Kuniaki, Reiber, Johan H.C., Thomsen, Brian, de Winter, Robbert J., Tanaka, Kaoru, La Meir, Mark, de Mey, Johan, Schneider, Ulrich, Doenst, Torsten, Teichgräber, Ulf, Wijns, William, Mushtaq, Saima, Pompilio, Giulio, Bartorelli, Antonio L., Andreini, Daniele, Serruys, Patrick W., and Onuma, Yoshinobu

Published
2022
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31. Unexpected Computed Tomography Derived Fractional Flow Reserve Decline Due to a Short Left Main Coronary Artery and a Wide Bifurcation Angle.

Author

Tsugu, Toshimitsu, Tanaka, Kaoru, Nagatomo, Yuji, Tsugu, Mayuko, and De Mey, Johan

Subjects
CORONARY arterial radiography, CHEST pain, CORONARY circulation, BLOOD vessels, COMPUTED tomography, CORONARY arteries, CORONARY angiography, LEFT ventricular dysfunction, CORONARY artery stenosis, CORONARY artery abnormalities, ECHOCARDIOGRAPHY
Abstract

The article explores the impact of bifurcation angles on computed tomography (CT)-derived fractional flow reserve (FFRCT) decline in vessels with no apparent coronary artery disease (CAD). Topics include the correlation between bifurcation angles and FFRCT changes, the identification of optimal cut-off values for bifurcation angles in the left anterior descending (LAD) and left circumflex (LCX) arteries and the significance of vessel length as a predictor of distal FFRCT values.

Published
2024
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32. Cardiac computed tomography-derived coronary artery volume to myocardial mass in patients with severe coronary artery disease.

Author

Kageyama, Shigetaka, Taylor, Charles A., Updegrove, Adam, Garg, Scot, Masuda, Shinichiro, Revaiah, Pruthvi Chenniganahosahalli, Kageyama, Momoko, Tsai, Tsung-Ying, Miyashita, Kotaro, Tobe, Akihiro, Tanaka, Kaoru, De Mey, Johan, La Meir, Mark, Schneider, Ulrich, Doenst, Torsten, Teichgräber, Ulf, Saima, Mushtaq, Pompilio, Giulio, Andreini, Daniele, and Pontone, Gianluca

Published
2024
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33. Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses.

Author

Masuda, Shinichiro, Revaiah, Pruthvi C., Kageyama, Shigetaka, Tsai, Tsung-Ying, Miyashita, Kotaro, Tobe, Akihiro, Puskas, John D., Teichgräber, Ulf, Schneider, Ulrich, Doenst, Torsten, Tanaka, Kaoru, De Mey, Johan, La Meir, Mark, Mushtaq, Saima, Bartorelli, Antonio L., Pompilio, Giulio, Garg, Scot, Andreini, Daniele, Onuma, Yoshinobu, and Serruys, Patrick W.

Published
2024
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36. Synthetic magnetic resonance-based relaxometry and brain volume: cutoff values for predicting neurocognitive outcomes in very preterm infants

Author

MS Neonatologie, Brain, Child Health, Developmental Disorders, Vanderhasselt, Tim, Naeyaert, Maarten, Buls, Nico, Allemeersch, Gert Jan, Raeymaeckers, Steven, Raeymaekers, Hubert, Smeets, Nathalie, Cools, Filip, de Mey, Johan, Dudink, Jeroen, MS Neonatologie, Brain, Child Health, Developmental Disorders, Vanderhasselt, Tim, Naeyaert, Maarten, Buls, Nico, Allemeersch, Gert Jan, Raeymaeckers, Steven, Raeymaekers, Hubert, Smeets, Nathalie, Cools, Filip, de Mey, Johan, and Dudink, Jeroen

Published
2024

37. Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI

Author

Ceranka, Jakub, Verga, Sabrina, Lecouvet, Frédéric, Metens, Thierry, de Mey, Johan, Vandemeulebroucke, Jef, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Zheng, Guoyan, editor, Belavy, Daniel, editor, Cai, Yunliang, editor, and Li, Shuo, editor

Published
2019
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43. Quantifying societal burden of radiation-induced small bowel toxicity in patients with rectal cancer.

Author

Kimpe, Eva, Parmentier, Riet, Busschaert, Sara-Lise, De Mey, Johan, Barbeé, Kurt, De Ridder, Mark, and Putman, Koen

Subjects
SMALL intestine, CANCER patients, RECTAL cancer, RADIOTHERAPY, INTENSITY modulated radiotherapy, DIRECT costing
Abstract

Introduction: Advancements in rectal cancer (RC) treatment not only led to an increase in lives saved but also improved quality of life (QoL). Notwithstanding these benefits, RC treatment comes at the price of gastrointestinal morbidity in many patients. Health economic modelling poses an opportunity to explore the societal burden of such side-effects. This study aims to quantify radiation-induced late small bowel (SB) toxicity in survivors of RC for Three-Dimensional Conformal Radiation Therapy (3D-CRT), Intensity Modulated Radiation Therapy (IMRT) and Intensity Modulated Radiation Therapy - Image Guided Radiation Therapy (IMRT/IGRT). Materials and methods: Materials and A model-based health economic evaluation was performed. The theoretical cohort consists of a case-mix of survivors of RC aged 25-99 years according to Belgian age-specific incidence rates. A societal perspective was adopted. The base case analysis was complemented with one-way deterministic analyses, deterministic scenario analyses and probabilistic sensitivity analysis (1,000 iterations). Results were presented as mean lifetime incremental cost (€) and utility (QALYs) per patient. Results: The analyses showed that the use of innovative radiotherapy (RT) improves lifetime QoL in survivors of RC by 0.11 QALYs and 0.05 QALYs by preferring IMRT/IGRT and IMRT over 3D-CRT, respectively. The use of IMRT/ IGRT and IMRT results in an incremental cost-saving of €3,820 and €1,863 per patient, solely by radiation-induced SB toxicity, compared to 3D-CRT. Discussion and conclusion: It is important to consider late toxicity effects in decisions regarding investments and reimbursement as our analysis highlighted the potential long-term cost-savings and improved QoL of novel RT techniques in patients with rectal cancer. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Impact of Advanced Extravascular Calcified Plaque on the Assessment of Coronary Stenosis Severity.

Author

Toshimitsu Tsugu, Kaoru Tanaka, Mayuko Tsugu, Yuji Nagatomo, and De Mey, Johan

Abstract

Copyright of Archives of the Turkish Society of Cardiology / Türk Kardiyoloji Derneği Arşivi is the property of KARE Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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46. Clinical and prognostic incremental value of FFRCT in screening of patients with obstructive coronary artery disease

Author

Argacha, Jean-François, primary, Motoc, Andreea, additional, Lammens, Johanna, additional, Vandeloo, Bert, additional, Tanaka, Kaoru, additional, Belsack, Dries, additional, Michiels, Vincent, additional, Lochy, Stijn, additional, Tsugu, Toshimitsu, additional, De Potter, Tom, additional, Thorrez, Yves, additional, Magne, Julien, additional, De Mey, Johan, additional, and Cosyns, Bernard, additional

Published
2023
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47. Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography

Author

Boonen, Pieter Thomas, Buls, Nico, Van Gompel, Gert, De Brucker, Yannick, Aerden, Dimitri, De Mey, Johan, Vandemeulebroucke, Jef, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Stoyanov, Danail, editor, Taylor, Zeike, editor, Balocco, Simone, editor, Sznitman, Raphael, editor, Martel, Anne, editor, Maier-Hein, Lena, editor, Duong, Luc, editor, Zahnd, Guillaume, editor, Demirci, Stefanie, editor, Albarqouni, Shadi, editor, Lee, Su-Lin, editor, Moriconi, Stefano, editor, Cheplygina, Veronika, editor, Mateus, Diana, editor, Trucco, Emanuele, editor, Granger, Eric, editor, and Jannin, Pierre, editor

Published
2018
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49. Impact of Heterogeneous Plaque Deposition on Computed Tomography Derived Fractional Flow Reserve.

Author

Tsugu, Toshimitsu, Tanaka, Kaoru, Nagatomo, Yuji, Tsugu, Mayuko, and De Mey, Johan

Subjects
CORONARY artery physiology, VASODILATORS, CORONARY circulation, COMPUTED tomography, ATHEROSCLEROSIS, HEMODYNAMICS, OXIDATIVE stress, CORONARY arteries, CORONARY artery disease, CORONARY angiography, INFLAMMATION, ECHOCARDIOGRAPHY
Abstract

The article focuses on the impact of heterogeneous plaque deposition on computed tomography-derived fractional flow reserve (FFRCT) in coronary artery disease. Topics include the analysis of plaque components and their relationship to lumen volume, the effect of low-attenuation plaque and calcified plaque on hemodynamics, and how computational fluid dynamics can be affected by artifacts from calcified plaque, leading to overestimation of FFRCT.

Published
2024
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