Publications scientifiques

Discordance rates on primary tumor assessment between Blinded Independent Central Review (BICR) readers in advanced or metastatic esophageal cancer applying RECIST 1.1 criteria

Y. Liu [1], A. Iannessi [1], L. Balcells [1], Y. WANG [2], J. Ching [2], C. Ojango [1] – Affiliations: [1] Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France. [2] Median Technologies, Shanghai, China.

Présenté à RSNA Annual Meeting, Nov. 27 – Dec. 1, 2022, Chicago, IL, USA.

3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis

Elias MUNOZ [1,2], Pierre BAUDOT [1], Van-Khoa LE [1], Charles VOYTON [1], Benjamin RENOUST [1], Danny FRANCIS [1], Vladimir GROZA [1], Jean-Christophe BRISSET [1], Ezequiel GEREMIA [1], Antoine IANNESSI [1], Yan LIU [1], Benoit HUET [1] Afiliations: [1] Median Technologies, iBiopsy, Valbonne, France, [2] Laboratoire de Mathématiques de Lens - Université d'Artois, France.

Présenté à MICCAI conference, 18-22 septembre 2022, Singapour, Singapour.

Artificial Intelligence Supporting Lung Cancer Screening: Computer Aided Diagnosis Of Lung Lesions Driven By Morphological Feature Extraction

Francesco Grossi [1], Van-Khoa Le [2], Pierre Baudot [2], Charles Voyton [2], Danny francis [2], Elias Munoz [2], Benoît Huet [2] - Affiliations: [1] Division of Medical Oncology, University of Insubria, Varese, Italy, [2] Median Technologies, Valbonne, France.

Poster presented at the ESMO congress in Paris, France – September 9-13, 2022

Challenges To Assess Bone Metastases In Blinded Independent Central Review (BICR) Of Breast Cancer Trials Using Recist 1.1

Sylvain Bodard [1,2], Christine Ojango [3], Antoine Iannessi [3], Laura Balcells [3], Jiawei He [3], Yan Liu [3] - Affiliations: [1] Hôp. Univ. Necker - Enfants Malades (AP-HP), UPC, Paris, France. [2] Lab. d’imagerie biomédicale, CNRS, INSERM, Sorbone Univ., Paris, France. [3] Median Technologies, Valbonne, France

Poster presented at the ESMO congress in Paris, France – September 9-13, 2022

The objectives of this scientific poster are to document the proportion of reader discrepancies of bone lesions on baseline and to evaluate contribution of bone lesion assessment to the overall assessment.

Development and Validation of a Machine Learning Based CADx Designed to Improve Patient Management in Lung Cancer Screening Programs

Pierre Baudot [1], Charles M. Voyton [1], Danny Francis [1], Afef Baili-Laya [1], Vincent Bobin [1], Benjamin Renoust [1], Yan Liu [1], Antoine Iannessi [1], Benoît Huet [1] – Affiliations: [1] Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France

Présenté le 15 juillet 2022 à l’ECR – European Congress of Radiology, 13-17 juillet 2022, Vienne, Autriche.