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11. Toward Precision Diagnosis

Author

O'Shaughnessy, Emma, primary, Senicourt, Lucile, additional, Mambour, Natasha, additional, Savatovsky, Julien, additional, Duron, Loïc, additional, and Lecler, Augustin, additional

Published
2024
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13. Imaging of Vascular Aphasia

Author

Duron, Loïc, primary, Lecler, Augustin, additional, Catalin Jianu, Dragos, additional, Sadik, Raphaël, additional, and Savatovsky, Julien, additional

Published
2021
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28. DWI-ASPECTS (Diffusion-Weighted Imaging–Alberta Stroke Program Early Computed Tomography Scores) and DWI-FLAIR (Diffusion-Weighted Imaging–Fluid Attenuated Inversion Recovery) Mismatch in Thrombectomy Candidates: An Intrarater and Interrater Agreement Study

Author

Fahed, Robert, Lecler, Augustin, Sabben, Candice, Khoury, Naim, Ducroux, Célina, Chalumeau, Vanessa, Botta, Daniele, Kalsoum, Erwah, Boisseau, William, Duron, Loïc, Cabral, Dominique, Koskas, Patricia, Benaïssa, Azzedine, Koulakian, Hasmik, Obadia, Michael, Maïer, Benjamin, Weisenburger-Lile, David, Lapergue, Bertrand, Wang, Adrien, Redjem, Hocine, Ciccio, Gabriele, Smajda, Stanislas, Desilles, Jean-Philippe, Mazighi, Mikaël, Ben Maacha, Malek, Akkari, Inès, Zuber, Kevin, Blanc, Raphaël, Raymond, Jean, and Piotin, Michel

Published
2018
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32. Erratum to: «Improved detection and characterization of arterial occlusion in acute ischemic stroke using Contrast Enhanced MRA» [J Neuroradiol 2020;47(4):278–283]

Author

Dhundass, Sarah, primary, Savatovsky, Julien, additional, Duron, Loïc, additional, Fahed, R., additional, Escalard, Simon, additional, Obadia, Michael, additional, Zuber, Kevin, additional, Metten, Marie Astrid, additional, Mejdoubi, Mehdi, additional, Blanc, Raphaël, additional, Sadik, Jean-Claude, additional, Collin, Adrien, additional, and Lecler, Augustin, additional

Published
2021
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34. Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study

Author

Duron, Loïc, primary, Ducarouge, Alexis, additional, Gillibert, André, additional, Lainé, Julia, additional, Allouche, Christian, additional, Cherel, Nicolas, additional, Zhang, Zekun, additional, Nitche, Nicolas, additional, Lacave, Elise, additional, Pourchot, Aloïs, additional, Felter, Adrien, additional, Lassalle, Louis, additional, Regnard, Nor-Eddine, additional, and Feydy, Antoine, additional

Published
2021
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37. Improved detection and characterization of arterial occlusion in acute ischemic stroke using contrast enhanced MRA

Author

Dhundass, Sarah, primary, Savatovsky, Julien, additional, Duron, Loïc, additional, Fahed, R., additional, Escalard, Simon, additional, Obadia, Michael, additional, Zuber, Kevin, additional, Metten, Marie Astrid, additional, Mejdoubi, Mehdi, additional, Blanc, Raphaël, additional, Sadik, Jean-Claude, additional, Collin, Adrien, additional, and Lecler, Augustin, additional

Published
2020
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38. Gray-level discretization impacts reproducible MRI radiomics texture features

Author

Duron, Loïc, Balvay, Daniel, Vande Perre, Saskia, Bouchouicha, Afef, Savatovsky, Julien, Sadik, Jean-Claude, Thomassin-Naggara, Isabelle, Fournier, Laure, Lecler, Augustin, Fondation Ophtalmologique Adolphe de Rothschild [Paris], Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Université Sorbonne Paris Cité (USPC), Service de Radiologie [CHU Tenon], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), Service de Radiologie [CHU HEGP], Hôpital Européen Georges Pompidou [APHP] (HEGP), Université Paris Descartes - Paris 5 (UPD5)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Tenon [APHP], and Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)

Subjects
Computer and Information Sciences, Imaging Techniques, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Science, Research and Analysis Methods, Pathology and Laboratory Medicine, Biochemistry, Diagnostic Radiology, Signs and Symptoms, Diagnostic Medicine, Medicine and Health Sciences, Image Processing, Computer-Assisted, Humans, Computer Simulation, Breast, Statistical Data, Observer Variation, Radiology and Imaging, Statistics, Biology and Life Sciences, Reproducibility of Results, Research Assessment, Magnetic Resonance Imaging, Reproducibility, Data Acquisition, Physical Sciences, Lesions, Medicine, Female, Biomarkers, Mathematics, Software, Research Article, Computer Modeling
Abstract

ObjectivesTo assess the influence of gray-level discretization on inter- and intra-observer reproducibility of texture radiomics features on clinical MR images.Materials and methodsWe studied two independent MRI datasets of 74 lacrymal gland tumors and 30 breast lesions from two different centers. Two pairs of readers performed three two-dimensional delineations for each dataset. Texture features were extracted using two radiomics softwares (Pyradiomics and an in-house software). Reproducible features were selected using a combination of intra-class correlation coefficient (ICC) and concordance and coherence coefficient (CCC) with 0.8 and 0.9 as thresholds, respectively. We tested six absolute and eight relative gray-level discretization methods and analyzed the distribution and highest number of reproducible features obtained for each discretization. We also analyzed the number of reproducible features extracted from computer simulated delineations representative of inter-observer variability.ResultsThe gray-level discretization method had a direct impact on texture feature reproducibility, independent of observers, software or method of delineation (simulated vs. human). The absolute discretization consistently provided statistically significantly more reproducible features than the relative discretization. Varying the bin number of relative discretization led to statistically significantly more variable results than varying the bin size of absolute discretization.ConclusionsWhen considering inter-observer reproducible results of MRI texture radiomics features, an absolute discretization should be favored to allow the extraction of the highest number of potential candidates for new imaging biomarkers. Whichever the chosen method, it should be systematically documented to allow replicability of results.

Published
2019

39. Liste des contributeurs

Author

Abgral, Ronan, Beregi, Jean-Paul, Bilfeld, Marie Faruch, Huglo, Damien, Le Jeune, Florence, Pontana, François, Tacher, Vania, Bartoli, Jean-Michel, Boutet, Claire, Boyer, Louis, Brunotte, François, Grenier, Nicolas, Petit, Philippe, Prigent, Alain, Salaün, Pierre-Yves, Abihanna, Michel, Adamsbaum, Catherine, Allary, Alexandre, Anxionnat, René, Attyé, Arnaud, Aubé, Christophe, Auber-Lenoir, Manon, Balleyguier, Corinne, Bailly, Clément, Bani-Sadr, Alexandre, Banos, Jean-Bruno, de Bazelaire, Cédric, Bazot, Marc, Beis, Jean-Noël, Bellin, Marie-France, Benoudiba, Farida, Berteloot, Laureline, Bierry, Guillaume, Blondiaux, Éléonore, Bodard, Sylvain, Bodet-Milin, Caroline, Bonardel, Gérald, Bonneville, Fabrice, Boussel, Loïc, Bousson, Valérie, Boussouar, Samia, Bracard, Serge, Braun, Marc, Bricault, Yvan, Brisse, Hervé, Brunelle, Serge, Brunereau, Laurent, Caramella, Caroline, Carpentier, Françoise, Cassagnes, Lucie, Cassart, Marie, Cassinoto, Christophe, Chammas, Agathe, Chassagnon, Guillaume, Chateil, Jean-François, Chaumet-Riffaud, Philippe, Clément, Olivier, Clerc, Jérôme, Combelles, Sophie, Cotten, Anne, Cotton, François, Cuny, Emmanuel, Cyteval, Catherine, Dabadie, Alexia, Dang, Lan-Anh, Daraï, Émile, Darcourt, Jacques, Dechoux-Vodovar, Sophie, Delacourt, Christophe, Demondion, Xavier, Devred, Philippe, Dormont, Didier, Douek, Philippe, Dournes, Gaël, Dousset, Vincent, Dubrulle, Frédérique, Ducou-Le-Pointe, Hubert, Durand, Chantal, Durand, Emmanuel, Duron, Loïc, Edjilali-Goujon, Myriam, Elmaleh, Monique, Ernst, Olivier, Felici, Florence, Ferey, Solène, Ferrié, Jean-Claude, Fleury, Vincent, Fournier, Laure, Gach, Pierre, Galanaud, Damien, Garcier, Jean-Marc, Gauvrit, Jean-Yves, Ghasarossian, Christian, Gocko, Xavier, Gonzalez, Sandra, Gorincour, Guillaume, Grand, Sylvie, Grange, Loïc, Grévent, David, Guéret, Pascal, Hamet, Blandine, Hélénon, Olivier, Héran, Françoise, Hoeffel, Christine, Humbert, Olivier, Imbert, Patrick, Jacquier, Alexis, Kas, Aurélie, Kraeber-Bodéré, Francoise, Krainik, Alexandre, Kuchcinski, Grégory, de Labriolle-Vaylet, Claire, Lainé, Xavier, Laissy, Jean-Pierre, Laurent, François, Lecler, Augustin, Leclerc, Xavier, Le Corroller, Thomas, Lederlin, Mathieu, Legallois, Damien, Leger, Thomas, Lemaître, Laurent, Lenoir, Marion, Le Roux, Pierre-Yves, Leruste, Sébastien, Lignères, Marie, Lucidarme, Olivier, Manrique, Alain, de Margerie-Mellon, Constance, Maugars, Yves, Meder, Jean-François, Merzoug, Valérie, Midulla, Marco, Millet, Ingrid, Montaudon, Michel, Morel, Baptiste, Moulin, Thierry, Naggara, Olivier, Oppenheim, Catherine, Palard, Xavier, Perdrix, Corinne, Pescatori, Lorenzo, Planel, Sophie, Poncelet, Édouard, Proisy, Maia, Pruvo, Jean-Pierre, Puech, Philippe, Pyatigorskaya, Nadya, Querellou-Lefranc, Solène, Renard-Penna, Raphaëlle, Robin, Philippe, Rocher, Laurence, Rodriguez, Christine, Ronot, Maxime, Rousseau, Caroline, Rousset, Jean, Rouvière, Olivier, Rouzet, François, Roy, Catherine, Savoye-Collet, Céline, Simon, Clémentine, Souillard-Scemama, Raphaëlle, Soussan, Michael, Soyer, Philippe, Taourel, Patrice, Tasu, Jean-Pierre, Thomassin-Naggara, Isabelle, Vernet-Kovacsik, Hélène, Vidal, Vincent, Vignes, Jean-Rodolphe, Vija, Lavina, Vuillez, Jean-Philippe, and Wagner, Mathilde

Published
2022
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43. Liste des contributeurs

Author

Abgral, Ronan, Bartoli, Jean-Michel, Boutet, Claire, Darcourt, Jacques, Boyer, Louis, Brunotte, François, Grenier, Nicolas, Petit, Philippe, Prigent, Alain, Salaün, Pierre-Yves, Abihanna, Michel, Adamsbaum, Catherine, Allary, Alexandre, Anxionnat, René, Attyé, Arnaud, Aubé, Christophe, Balleyguier, Corinne, Banos, Jean-Bruno, de Bazelaire, Cédric, Bazot, Marc, Beis, Jean-Noël, Benoudiba, Farida, Bérégi, Jean-Paul, Bierry, Guillaume, Blondiaux, Eléonore, Bodet-Milin, Caroline, Bonardel, Gérald, Bonneville, Fabrice, Boussel, Loïc, Bousson, Valerie, Bracard, Serge, Braun, Marc, Bricault, Yvan, Brisse, Hervé, Cassart, Marie, Carpentier, Françoise, Cassinoto, Christophe, Chateil, Jean-François, Chaumet-Riffaud, Philippe, Clément, Olivier, Clerc, Jérôme, Combelles, Sophie, Cotten, Anne, Cotton, François, Cuny, Emmanuel, Cyteval, Catherine, Dabadie, Alexia, Daraï, Émile, Dechoux-Vodovar, Sophie, de Labriolle-Vaylet, Claire, Delacourt, Christophe, Demondion, Xavier, Devred, Philippe, Dormont, Didier, Douek, Philippe, Dubrulle, Frédérique, Dousset, Vincent, Ducou-le-Pointe, Hubert, Durand, Chantal, Durand, Emmanuel, Duron, Loïc, Elmaleh, Monique, Ernst, Olivier, Felici, Florence, Ferey, Solène, Ferrié, Jean-Claude, Fleury, Vincent, Fournier, Laure, Gach, Pierre, Galanaud, Damien, Garcier, Jean-Marc, Gauvrit, Jean-Yves, Ghasarossian, Christian, Gocko, Xavier, Gonzalez, Sandra, Gorincour, Guillaume, Grand, Sylvie, Grange, Loïc, Grévent, David, Guéret, Pascal, Hélénon, Olivier, Héran, Françoise, Imbert, Patrick, Jacquier, Alexis, Kas, Aurélie, Kraeber-Bodéré, Francoise, Krainik, Alexandre, Kuchcinski, Grégory, Lainé, Xavier, Laissy, Jean-Pierre, Laurent, François, Leclerc, Xavier, Le Corroller, Thomas, Lederlin, Mathieu, Lemaître, Laurent, Legallois, Damien, Lenoir, Marion, Le Roux, Pierre-Yves, Leruste, Sébastien, Lignères, Marie, Lucidarme, Olivier, Manrique, Alain, Maugars, Yves, Meder, Jean-François, Merzoug, Valérie, Millet, Ingrid, Montaudon, Michel, Morel, Baptiste, Moulin, Thierry, Naggara, Olivier, Oppenheim, Catherine, Palard, Xavier, Perdrix, Corinne, Planel, Sophie, Poncelet, Édouard, Proisy, Maia, Pruvo, Jean-Pierre, Querellou-Lefranc, Solène, Renard-Penna, Raphaëlle, Robin, Philippe, Rodriguez, Christine, Ronot, Maxime, Rousseau, Caroline, Rousset, Jean, Rouvière, Olivier, Rouzet, François, Roy, Catherine, Simon, Clémentine, Souillard-Scemama, Raphaëlle, Soussan, Michael, Soyer, Philippe, Tacher, Vania, Taourel, Patrice, Tasu, Jean-Pierre, Thomassin-Naggara, Isabelle, Vernet-Kovacsik, Hélène, Vidal, Vincent, Vignes, Jean-Rodolphe, Vija, Lavina, and Vuillez, Jean-Philippe

Published
2019
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44. Shrinking lung syndrome associated with systemic lupus erythematosus: A multicenter collaborative study of 15 new cases and a review of the 155 cases in the literature focusing on treatment response and long-term outcomes

Author

Duron, Loïc, primary, Cohen-Aubart, Fleur, additional, Diot, Elisabeth, additional, Borie, Raphaël, additional, Abad, Sébastien, additional, Richez, Christophe, additional, Banse, Christopher, additional, Vittecoq, Olivier, additional, Saadoun, David, additional, Haroche, Julien, additional, and Amoura, Zahir, additional

Published
2016
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45. Pulmonary hyalinizing granuloma: a multicenter study of 5 new cases and review of the 135 cases of the literature

Author

Lhote, Raphael, primary, Haroche, Julien, additional, Duron, Loïc, additional, Girard, Nicolas, additional, Lafourcade, Marie Pierre, additional, Martin, Michel, additional, Begueret, Hugues, additional, Taytard, André, additional, Capron, Frédérique, additional, Grenier, Philippe, additional, Piette, Jean Charles, additional, Cohen-Aubart, Fleur, additional, and Amoura, Zahir, additional

Published
2016
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46. Loco-regional extensions of central nervous system germ cell tumors: a retrospective radiological analysis of 100 patients.

Author

Duron, Loïc, Sadones, Flavie, Thiesse, Philippe, Cellier, Cécile, Alapetite, Claire, Doz, François, Frappaz, Didier, and Brisse, Hervé J.

Subjects
*GERMINOMA, *BRAIN, *MAGNETIC resonance imaging, *RETROSPECTIVE studies, *DIAGNOSIS, CENTRAL nervous system tumors, DIAGNOSIS of brain abnormalities
Abstract

Purpose: The current staging system of central nervous system (CNS) germ cell tumors (GCT) includes a binary classification in 'localized' or 'metastatic' disease based on the absence or presence of leptomeningeal dissemination. Loco-regional tumor dissemination has been barely described whereas its accurate definition might be useful in terms of prognosis and treatment, especially for radiation therapy planning. Our purpose was therefore to describe MR patterns and prevalence of loco-regional extensions of these tumors. Methods: One hundred consecutive patients (median age 16.3 years, range 7-41 years, sex ratio 7:1) with a histologically or biologically proven CNS GCT were retrospectively included. Brain and spinal MRI at diagnosis were reviewed by two neuroradiologists focusing on MR patterns of primaries and loco-regional extensions. When available, follow-up MR exams were analyzed. Results: Pure germinoma represented 84/100 cases. Primaries were unifocal pineal ( n = 49/100), bifocal pineal and supra-sellar ( n = 27/100), isolated supra-sellar ( n = 21/100), isolated basal ganglia ( n = 2/100) or trifocal pineal, supra-sellar, and basal ganglia ( n = 1/100). Metastatic disease occurred in 6/100 patients (depicted by MRI in two and CSF cytology in four). Loco-regional extensions were observed in all patients and classified as follows: third ventricle ( n = 88/100), thalamus ( n = 47/100), midbrain ( n = 42/100), distant sub-ependymal areas ( n = 19/100), optic pathways ( n = 19/100), lateral ventricles ( n = 7/100), cavernous sinus ( n = 6/100), corpus callosum ( n = 4/100), and fourth ventricle ( n = 3/100). Conclusion: CNS GCT present with specific loco-regional extensions at diagnosis. Improving their recognition will be helpful to further understand their prognostic value and potentially to optimize the treatment. [ABSTRACT FROM AUTHOR]

Published
2018
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47. Liste des auteurs

Author

Attyé, Arnaud, Bergès, Olivier, Casselman, Jan, Duron, Loïc, Eliezer, Mickael, Elmaleh, Monique, Gaultier, Anne-Laure, Héran, Françoise, Imperiale, Alessio, Koskas, Patricia, Lecler, Augustin, Poillon, Guillaume, Purcell, Yvonne, Reverdito, Guillaume, Riehm, Sophie, Fuléro, Aurelien Saltel, Shor, Natalia, and Veillon, Francis

Published
2022
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48. Diagnostic Performance of Dynamic Contrast-Enhanced 3T MR Imaging for Characterization of Orbital Lesions: Validation in a Large Prospective Study.

Author

O'Shaughnessy E, Cossec CL, Mambour N, Lecoeuvre A, Savatovsky J, Zmuda M, Duron L, and Lecler A

Subjects
Male, Humans, Female, Middle Aged, Prospective Studies, Diagnosis, Differential, Diffusion Magnetic Resonance Imaging methods, Sensitivity and Specificity, ROC Curve, Contrast Media, Magnetic Resonance Imaging methods
Abstract

Background and Purpose: Orbital lesions are rare but serious. Their characterization remains challenging. Diagnosis is based on biopsy or surgery, which implies functional risks. It is necessary to develop noninvasive diagnostic tools. The goal of this study was to evaluate the diagnostic performance of dynamic contrast-enhanced MR imaging at 3T when distinguishing malignant from benign orbital tumors on a large prospective cohort., Materials and Methods: This institutional review board-approved prospective single-center study enrolled participants presenting with an orbital lesion undergoing a 3T MR imaging before surgery from December 2015 to May 2021. Morphologic, diffusion-weighted, and dynamic contrast-enhanced MR images were assessed by 2 readers blinded to all data. Univariable and multivariable analyses were performed. To assess diagnostic performance, we used the following metrics: area under the curve, sensitivity, and specificity. Histologic analysis, obtained through biopsy or surgery, served as the criterion standard for determining the benign or malignant status of the tumor., Results: One hundred thirty-one subjects (66/131 [50%] women and 65/131 [50%] men; mean age, 52 [SD, 17.1] years; range, 19-88 years) were enrolled. Ninety of 131 (69%) had a benign lesion, and 41/131 (31%) had a malignant lesion. Univariable analysis showed a higher median of transfer constant from blood plasma to the interstitial environment ( K trans ) and of transfer constant from the interstitial environment to the blood plasma (minute -1 ) (Kep) and a higher interquartile range of K trans in malignant-versus-benign lesions (1.1 minute -1 versus 0.65 minute -1 , P  = .03; 2.1 minute -1 versus 1.1 minute -1 , P  = .01; 0.81 minute -1 versus 0.65 minute -1 , P  = .009, respectively). The best-performing multivariable model in distinguishing malignant-versus-benign lesions included parameters from dynamic contrast-enhanced imaging, ADC, and morphology and reached an area under the curve of 0.81 (95% CI, 0.67-0.96), a sensitivity of 0.82 (95% CI, 0.55-1), and a specificity of 0.81 (95% CI, 0.65-0.96)., Conclusions: Dynamic contrast-enhanced MR imaging at 3T appears valuable when characterizing orbital lesions and provides complementary information to morphologic imaging and DWI., (© 2024 by American Journal of Neuroradiology.)

Published
2024
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49. Gray-level discretization impacts reproducible MRI radiomics texture features.

Author

Duron L, Balvay D, Vande Perre S, Bouchouicha A, Savatovsky J, Sadik JC, Thomassin-Naggara I, Fournier L, and Lecler A

Subjects
Breast pathology, Computer Simulation, Female, Humans, Image Processing, Computer-Assisted methods, Observer Variation, Reproducibility of Results, Software, Magnetic Resonance Imaging methods
Abstract

Objectives: To assess the influence of gray-level discretization on inter- and intra-observer reproducibility of texture radiomics features on clinical MR images., Materials and Methods: We studied two independent MRI datasets of 74 lacrymal gland tumors and 30 breast lesions from two different centers. Two pairs of readers performed three two-dimensional delineations for each dataset. Texture features were extracted using two radiomics softwares (Pyradiomics and an in-house software). Reproducible features were selected using a combination of intra-class correlation coefficient (ICC) and concordance and coherence coefficient (CCC) with 0.8 and 0.9 as thresholds, respectively. We tested six absolute and eight relative gray-level discretization methods and analyzed the distribution and highest number of reproducible features obtained for each discretization. We also analyzed the number of reproducible features extracted from computer simulated delineations representative of inter-observer variability., Results: The gray-level discretization method had a direct impact on texture feature reproducibility, independent of observers, software or method of delineation (simulated vs. human). The absolute discretization consistently provided statistically significantly more reproducible features than the relative discretization. Varying the bin number of relative discretization led to statistically significantly more variable results than varying the bin size of absolute discretization., Conclusions: When considering inter-observer reproducible results of MRI texture radiomics features, an absolute discretization should be favored to allow the extraction of the highest number of potential candidates for new imaging biomarkers. Whichever the chosen method, it should be systematically documented to allow replicability of results., Competing Interests: The authors have declared that no competing interests exist.

Published
2019
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