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516 results on '"Badoual, Cécile"'

2. Simple and Efficient Confidence Score for Grading Whole Slide Images

Author

Lubrano, Mélanie, Bellahsen-Harrar, Yaëlle, Fick, Rutger, Badoual, Cécile, and Walter, Thomas

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

Grading precancerous lesions on whole slide images is a challenging task: the continuous space of morphological phenotypes makes clear-cut decisions between different grades often difficult, leading to low inter- and intra-rater agreements. More and more Artificial Intelligence (AI) algorithms are developed to help pathologists perform and standardize their diagnosis. However, those models can render their prediction without consideration of the ambiguity of the classes and can fail without notice which prevent their wider acceptance in a clinical context. In this paper, we propose a new score to measure the confidence of AI models in grading tasks. Our confidence score is specifically adapted to ordinal output variables, is versatile and does not require extra training or additional inferences nor particular architecture changes. Comparison to other popular techniques such as Monte Carlo Dropout and deep ensembles shows that our method provides state-of-the art results, while being simpler, more versatile and less computationally intensive. The score is also easily interpretable and consistent with real life hesitations of pathologists. We show that the score is capable of accurately identifying mispredicted slides and that accuracy for high confidence decisions is significantly higher than for low-confidence decisions (gap in AUC of 17.1% on the test set). We believe that the proposed confidence score could be leveraged by pathologists directly in their workflow and assist them on difficult tasks such as grading precancerous lesions.

Published
2023

5. Automatic Grading of Cervical Biopsies by Combining Full and Self-supervision

Author

Lubrano, Mélanie, Lazard, Tristan, Balezo, Guillaume, Bellahsen-Harrar, Yaëlle, Badoual, Cécile, Berlemont, Sylvain, Walter, Thomas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Karlinsky, Leonid, editor, Michaeli, Tomer, editor, and Nishino, Ko, editor

Published
2023
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7. TRANSLACOL project: Nodal human papillomavirus tumoral DNA detection by ddPCR for survival prediction in early cervical cancer patients without pelvic lymph node invasion

Author

Montero-Macías, Rosa, Veyer, David, Bruneau, Thomas, Robillard, Nicolas, Le Frère-Belda, Marie-Aude, Rigolet, Pascal, Boulhic, Mélanie, Stankovic, Ivana, Bélec, Laurent, Angeles, Martina Aida, Mery, Eliane, Badoual, Cécile, Coronado, Pluvio J, Bats, Anne-Sophie, Mathevet, Patrice, Taly, Valérie, Lécuru, Fabrice, and Péré, Hélène

Published
2023
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12. DNA methylation as a new tool for the differential diagnosis between T‐LBL and lymphocyte‐rich thymoma.

Author

Latiri, Mehdi, Belhocine, Mohamed, Smith, Charlotte, Garnier, Nathalie, Balducci, Estelle, Pinton, Antoine, Andrieu, Guillaume P, Bruneau, Julie, Spicuglia, Salvatore, Jamain, Stéphane, Latapie, Violaine, de Montpreville, Vincent Thomas, Chalabreysse, Lara, Marx, Alexander, Girard, Nicolas, Besse, Benjamin, Plass, Christoph, Gibault, Laure, Badoual, Cécile, and Macintyre, Elizabeth

Subjects
SECONDARY primary cancer, DNA methylation, PRINCIPAL components analysis, NEEDLE biopsy, EPITHELIAL cells, THYMOMA, THYMUS tumors
Abstract

T‐lymphoblastic lymphoma (T‐LBL) and thymoma are two rare primary tumors of the thymus deriving either from T‐cell precursors or from thymic epithelial cells, respectively. Some thymoma subtypes (AB, B1, and B2) display numerous reactive terminal deoxynucleotidyl transferase‐positive (TdT+) T‐cell precursors masking epithelial tumor cells. Therefore, the differential diagnosis between T‐LBL and TdT+ T‐lymphocyte‐rich thymoma could be challenging, especially in the case of needle biopsy. To distinguish between T‐LBL and thymoma‐associated lymphoid proliferations, we analyzed the global DNA methylation using two different technologies, namely MeDIP array and EPIC array, in independent samples series [17 T‐LBLs compared with one TdT+ lymphocyte‐rich thymoma (B1 subtype) and three normal thymi, and seven lymphocyte‐rich thymomas compared with 24 T‐LBLs, respectively]. In unsupervised principal component analysis (PCA), T‐LBL and thymoma samples clustered separately. We identified differentially methylated regions (DMRs) using MeDIP‐array and EPIC‐array datasets and nine overlapping genes between the two datasets considering the top 100 DMRs including ZIC1, TSHZ2, CDC42BPB, RBM24, C10orf53, and MACROD2. In order to explore the DNA methylation profiles in larger series, we defined a classifier based on these six differentially methylated gene promoters, developed an MS‐MLPA assay, and demonstrated a significant differential methylation between thymomas (hypomethylated; n = 48) and T‐LBLs (hypermethylated; n = 54) (methylation ratio median 0.03 versus 0.66, respectively; p < 0.0001), with MACROD2 methylation status the most discriminating. Using a machine learning strategy, we built a prediction model trained with the EPIC‐array dataset and defined a cumulative score taking into account the weight of each feature. A score above or equal to 0.4 was predictive of T‐LBL and conversely. Applied to the MS‐MLPA dataset, this prediction model accurately predicted diagnoses of T‐LBL and thymoma. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Curative anticoagulation prevents endothelial lesion in COVID‐19 patients

Author

Khider, Lina, Gendron, Nicolas, Goudot, Guillaume, Chocron, Richard, Hauw‐Berlemont, Caroline, Cheng, Charles, Rivet, Nadia, Pere, Helene, Roffe, Ariel, Clerc, Sébastien, Lebeaux, David, Debuc, Benjamin, Veyer, David, Rance, Bastien, Gaussem, Pascale, Bertil, Sébastien, Badoual, Cécile, Juvin, Philippe, Planquette, Benjamin, Messas, Emmanuel, Sanchez, Olivier, Hulot, Jean‐Sébastien, Diehl, Jean‐Luc, Mirault, Tristan, and Smadja, David M.

Published
2020
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20. Multi-site tumor sampling highlights molecular intra-tumor heterogeneity in malignant pleural mesothelioma

Author

Meiller, Clément, Montagne, François, Hirsch, Theo Z., Caruso, Stefano, de Wolf, Julien, Bayard, Quentin, Assié, Jean-Baptiste, Meunier, Léa, Blum, Yuna, Quetel, Lisa, Gibault, Laure, Pintilie, Ecaterina, Badoual, Cécile, Humez, Sarah, Galateau-Sallé, Françoise, Copin, Marie-Christine, Letouzé, Eric, Scherpereel, Arnaud, Zucman-Rossi, Jessica, Le Pimpec-Barthes, Françoise, Jaurand, Marie-Claude, and Jean, Didier

Published
2021
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23. Infiltrating and peripheral immune cell analysis in advanced gastric cancer according to the Lauren classification and its prognostic significance

Author

Pernot, Simon, Terme, Magali, Radosevic-Robin, Nina, Castan, Florence, Badoual, Cécile, Marcheteau, Elie, Penault-Llorca, Fréderique, Bouche, Olivier, Bennouna, Jaafar, Francois, Eric, Ghiringhelli, Francois, De La Fouchardiere, Christelle, Samalin, Emmanuelle, Baptiste Bachet, Jean, Borg, Christophe, Boige, Valérie, Voron, Thibault, Stanbury, Trevor, Tartour, Eric, Gourgou, Sophie, Malka, David, and Taieb, Julien

Published
2020
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25. Pédagogie à grande échelle en ACP

Author

Bertheau, Philippe, Denize, Thomas, Calvani, Julien, Gardair, Charlotte, Jacquier, Anthony, Razafimahefa, Joëlle, Eymerit-Morin, Caroline, Perron, Émilie, Tremblay-Le May, Rosemarie, Borduas, Martin, Pote, Nicolas, Battistella, Maxime, Badoual, Cécile, Fléjou, Jean-François, Leteurtre, Emmanuelle, Uro-Coste, Emmanuelle, Buob, David, and Valmary-Degano, Séverine

Published
2019
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27. Usefulness of an RNA extraction-free test for the multiplexed detection of ALK , ROS1 , and RET Gene Fusions in Real Life FFPE Specimens of Non-Small Cell Lung Cancers

Author

Damiola, Francesca, primary, Alberti, Laurent, additional, Mansuet-Lupo, Audrey, additional, Damotte, Diane, additional, Hofman, Véronique, additional, Tixier, Lucie, additional, Penault-Llorca, Frédérique, additional, Rouquette, Isabelle, additional, Vignaud, Jean Michel, additional, Cazes, Aurélie, additional, Forest, Fabien, additional, Begueret, Hugues, additional, Gibault, Laure, additional, Badoual, Cécile, additional, Cayre, Anne, additional, Taranchon-Clermont, Estelle, additional, Duc, Adeline, additional, Mc Leer, Anne, additional, and Lantuejoul, Sylvie, additional

Published
2023
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29. Treatment strategy in laryngeal chondrosarcoma: a multicenter study of 43 cases

Author

Schleich, Marianne, primary, Laccourreye, Laurent, additional, Marianowski, Remi, additional, Dufour, Xavier, additional, Babin, Emmanuel, additional, Bastit, Vianney, additional, Marie, Jean Paul, additional, Badoual, Cécile, additional, Philouze, Pierre, additional, Espitalier, Florent, additional, Du Bouexic De Pinieux, Gonzague, additional, and Moriniere, Sylvain, additional

Published
2023
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32. Tests immunohistochimiques PD-L1 dans les cancers du poumon non à petites cellules : recommandations par le groupe PATTERN de pathologistes thoraciques

Author

Lantuejoul, Sylvie, Adam, Julien, Girard, Nicolas, Duruisseaux, Mickael, Mansuet-Lupo, Audrey, Cazes, Aurélie, Rouquette, Isabelle, Gibault, Laure, Garcia, Stéphane, Antoine, Martine, Vignaud, Jean Michael, Galateau-Sallé, Françoise, Sagan, Christine, Badoual, Cécile, Penault-Llorca, Frédérique, and Damotte, Diane

Published
2018
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35. Inflammatory Reaction

Author

Sandoval, Federico, Delville, Marianne, Badoual, Cécile, van Krieken, J. H. J. M., Series Editor, and Hofman, Paul, editor

Published
2016
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36. Paraganglioma, Malignant

Author

Badoual, Cécile, Sandoval, Federico, Gimenez-Roqueplo, Anne-Paule, van Krieken, J. H. J. M., Editor-in-chief, and Volavšek, Metka, editor

Published
2016
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38. Dynamic evaluation of circulating tumour cells in patients with advanced gastric and oesogastric junction adenocarcinoma: Prognostic value and early assessment of therapeutic effects

Author

Pernot, Simon, Badoual, Cecile, Terme, Magali, Castan, Florence, Cazes, Aurelie, Bouche, Olivier, Bennouna, Jaafar, Francois, Eric, Ghiringhelli, Francois, De La Fouchardiere, Christelle, Samalin, Emmanuelle, Bachet, Jean Baptiste, Borg, Christophe, Ducreux, Michel, Marcheteau, Elie, Stanbury, Trevor, Gourgou, Sophie, Malka, David, and Taieb, Julien

Published
2017
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43. Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia.

Author

Lubrano, Mélanie, Bellahsen‐Harrar, Yaëlle, Berlemont, Sylvain, Atallah, Sarah, Vaz, Emmanuelle, Walter, Thomas, and Badoual, Cécile

Subjects
DEEP learning, DYSPLASIA, ARTIFICIAL intelligence, AUTOMATIC classification, DATABASES, CONFIDENCE
Abstract

Background: Diagnosis of head and neck (HN) squamous dysplasias and carcinomas is critical for patient care, cure, and follow‐up. It can be challenging, especially for grading intraepithelial lesions. Despite recent simplification in the last WHO grading system, the inter‐ and intraobserver variability remains substantial, particularly for nonspecialized pathologists, exhibiting the need for new tools to support pathologists. Methods: In this study we investigated the potential of deep learning to assist the pathologist with automatic and reliable classification of HN lesions following the 2022 WHO classification system. We created, for the first time, a large‐scale database of histological samples (>2000 slides) intended for developing an automatic diagnostic tool. We developed and trained a weakly supervised model performing classification from whole‐slide images (WSI). We evaluated our model on both internal and external test sets and we defined and validated a new confidence score to assess the predictions that can be used to identify difficult cases. Results: Our model demonstrated high classification accuracy across all lesion types on both internal and external test sets (respectively average area under the curve [AUC]: 0.878 (95% confidence interval [CI]: [0.834–0.918]) and 0.886 (95% CI: [0.813–0.947])) and the confidence score allowed for accurate differentiation between reliable and uncertain predictions. Conclusion: Our results demonstrate that the model, associated with confidence measurements, can help in the difficult task of classifying HN squamous lesions by limiting variability and detecting ambiguous cases, taking us one step closer to a wider adoption of AI‐based assistive tools. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Liste des auteurs

Author

Barry, Béatrix, primary, Malard, Olivier, additional, Morinière, Sylvain, additional, Babin, Emmanuel, additional, Badoual, Cécile, additional, Baujat, Bertrand, additional, Bidault, François, additional, de Bonnecaze, Guillaume, additional, Bozec, Alexandre, additional, Céruse, Philippe, additional, Chabrillac, Émilien, additional, Chevalier, Dominique, additional, Choussy, Olivier, additional, Colombe, Cindy, additional, Debry, Christian, additional, Deneuve, Sophie, additional, Dubrulle, Frédérique, additional, Dupret-Bories, Agnès, additional, Espitalier, Florent, additional, Fakhry, Nicolas, additional, Fath, Léa, additional, Gavid, Marie, additional, Guerlain, Joanne, additional, Guiquerro, Sophie, additional, Heutte, Natacha, additional, Janot, François, additional, Jégoux, Franck, additional, Saint-Guily, Jean Lacau, additional, Laccourreye, Ollivier, additional, Lasne-Cardon, Audrey, additional, Lépine, Charles, additional, Lombard, Marine, additional, Mouawad, François, additional, Philouze, Pierre, additional, Pointreau, Yoann, additional, Prades, Jean Michel, additional, de Raucourt, Dominique, additional, Righini, Christian Adrien, additional, Rolland, Frédéric, additional, Santini, Laure, additional, Schultz, Philippe, additional, Tessier, Christophe, additional, Thariat, Juliette, additional, Vergez, Sébastien, additional, Werner, Alfred, additional, and Woisard, Virginie, additional

Published
2019
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46. Supplementary Figure S3 from Synergy of Radiotherapy and a Cancer Vaccine for the Treatment of HPV-Associated Head and Neck Cancer

Author

Mondini, Michele, primary, Nizard, Mevyn, primary, Tran, Thi, primary, Mauge, Laetitia, primary, Loi, Mauro, primary, Clémenson, Céline, primary, Dugue, Delphine, primary, Maroun, Pierre, primary, Louvet, Emilie, primary, Adam, Julien, primary, Badoual, Cécile, primary, Helley, Dominique, primary, Dransart, Estelle, primary, Johannes, Ludger, primary, Vozenin, Marie-Catherine, primary, Perfettini, Jean-Luc, primary, Tartour, Eric, primary, and Deutsch, Eric, primary

Published
2023
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47. Data from Synergy of Radiotherapy and a Cancer Vaccine for the Treatment of HPV-Associated Head and Neck Cancer

Author

Mondini, Michele, primary, Nizard, Mevyn, primary, Tran, Thi, primary, Mauge, Laetitia, primary, Loi, Mauro, primary, Clémenson, Céline, primary, Dugue, Delphine, primary, Maroun, Pierre, primary, Louvet, Emilie, primary, Adam, Julien, primary, Badoual, Cécile, primary, Helley, Dominique, primary, Dransart, Estelle, primary, Johannes, Ludger, primary, Vozenin, Marie-Catherine, primary, Perfettini, Jean-Luc, primary, Tartour, Eric, primary, and Deutsch, Eric, primary

Published
2023
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48. Supplementary Fig S1-S8 from Tim-3 Expression on Tumor-Infiltrating PD-1+CD8+ T Cells Correlates with Poor Clinical Outcome in Renal Cell Carcinoma

Author

Granier, Clémence, primary, Dariane, Charles, primary, Combe, Pierre, primary, Verkarre, Virginie, primary, Urien, Saïk, primary, Badoual, Cécile, primary, Roussel, Hélène, primary, Mandavit, Marion, primary, Ravel, Patrice, primary, Sibony, Mathilde, primary, Biard, Lucie, primary, Radulescu, Camélia, primary, Vinatier, Emeline, primary, Benhamouda, Nadine, primary, Peyromaure, Michael, primary, Oudard, Stéphane, primary, Méjean, Arnaud, primary, Timsit, Marc-Olivier, primary, Gey, Alain, primary, and Tartour, Eric, primary

Published
2023
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49. Supplementary Table S1-S6 from Tim-3 Expression on Tumor-Infiltrating PD-1+CD8+ T Cells Correlates with Poor Clinical Outcome in Renal Cell Carcinoma

Author

Granier, Clémence, primary, Dariane, Charles, primary, Combe, Pierre, primary, Verkarre, Virginie, primary, Urien, Saïk, primary, Badoual, Cécile, primary, Roussel, Hélène, primary, Mandavit, Marion, primary, Ravel, Patrice, primary, Sibony, Mathilde, primary, Biard, Lucie, primary, Radulescu, Camélia, primary, Vinatier, Emeline, primary, Benhamouda, Nadine, primary, Peyromaure, Michael, primary, Oudard, Stéphane, primary, Méjean, Arnaud, primary, Timsit, Marc-Olivier, primary, Gey, Alain, primary, and Tartour, Eric, primary

Published
2023
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50. Data from Tim-3 Expression on Tumor-Infiltrating PD-1+CD8+ T Cells Correlates with Poor Clinical Outcome in Renal Cell Carcinoma

Author

Granier, Clémence, primary, Dariane, Charles, primary, Combe, Pierre, primary, Verkarre, Virginie, primary, Urien, Saïk, primary, Badoual, Cécile, primary, Roussel, Hélène, primary, Mandavit, Marion, primary, Ravel, Patrice, primary, Sibony, Mathilde, primary, Biard, Lucie, primary, Radulescu, Camélia, primary, Vinatier, Emeline, primary, Benhamouda, Nadine, primary, Peyromaure, Michael, primary, Oudard, Stéphane, primary, Méjean, Arnaud, primary, Timsit, Marc-Olivier, primary, Gey, Alain, primary, and Tartour, Eric, primary

Published
2023
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