📇 Rhumatologue · VILLEJUIF CEDEX · (94) · Salarié

M FRANCOIS BIDAULT

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Auteur de référence en rhumatologie
20 articles scientifiques publiés — un praticien à la pointe de la recherche
Délais de RDV courts dans la région
134 rhumatos / 100 000 hab. — département bien doté

Rhumatologue

📍 VILLEJUIF CEDEX (94)SalariéRPPS 10001559201

6ans d'exercice (thèse 2020)

📊 Reconnaissance scientifique : 26/100📝 148 articles publiés🇫🇷 Publications académiques françaises (8)

✨ Génération du profil synthétique IA en cours…

Thèses universitaires

Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.

Top publications · les plus citées

Criteria for the diagnosis of extranodal extension detected on radiological imaging in head and neck cancer: Head and Neck Cancer International Group consensus recommendations

The Lancet. Oncology · 2024

📚 52 citations🎯 RCR 12.14Top 2% NIH🔓 Open Access📄 PDF gratuit ↗

Can we trust the calculation of texture indices of CT images? A phantom study

Medical physics · 2018

📚 43 citations🎯 RCR 2.62Top 19% NIH🔓 Open Access📄 PDF gratuit ↗

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PurposeTexture analysis is an emerging tool in the field of medical imaging analysis. However, many issues have been raised in terms of its use in assessing patient images and it is crucial to harmonize and standardize this new imaging measurement tool. This study was designed to evaluate the reliability of texture indices of CT images on a phantom including a reproducibility study, to assess the discriminatory capacity of indices potentially relevant in CT medical images and to determine their redundancy.MethodsFor the reproducibility and discriminatory analysis, eight identical CT acquisitions were performed on a phantom including one homogeneous insert and two close heterogeneous inserts. Texture indices were selected for their high reproducibility and capability of discriminating different textures. For the redundancy analysis, 39 acquisitions of the same phantom were performed using varying acquisition parameters and a correlation matrix was used to explore the 2 × 2 relationships. LIFEx software was used to explore 34 different parameters including first order and texture indices.ResultsOnly eight indices of 34 exhibited high reproducibility and discriminated textures from each other. Skewness and kurtosis from histogram were independent from the six other indices but were intercorrelated, the other six indices correlated in diverse degrees (entropy, dissimilarity, and contrast of the co‐occurrence matrix, contrast of the Neighborhood Gray Level difference matrix, SZE, ZLNU of the Gray‐Level Size Zone Matrix).ConclusionsCare should be taken when using texture analysis as a tool to characterize CT images because changes in quantitation may be primarily due to internal variability rather than from real physio‐pathological effects. Some textural indices appear to be sufficiently reliable and capable to discriminate close textures on CT images.

CT Texture Analysis Challenges: Influence of Acquisition and Reconstruction Parameters: A Comprehensive Review

Diagnostics (Basel, Switzerland) · 2020

📚 42 citations🎯 RCR 2.89Top 17% NIH🔓 Open Access📄 PDF gratuit ↗

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Texture analysis in medical imaging is a promising tool that is designed to improve the characterization of abnormal images from patients, to ultimately serve as a predictive or prognostic biomarker. However, the nature of image acquisition itself implies variability in each pixel/voxel value that could jeopardize the usefulness of texture analysis in the medical field. In this review, a search was performed to identify current published data for computed tomography (CT) texture reproducibility and variability. On the basis of this analysis, the critical steps were identified with a view of using texture analysis as a reliable tool in medical imaging. The need to specify the CT scanners used and the associated parameters in published studies is highlighted. Harmonizing acquisition parameters between studies is a crucial step for future texture analysis.

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M FRANCOIS BIDAULT

Pourquoi vous devez consulter ce praticien

Thèses universitaires

Activité de recherche & publications

Publications académiques en France

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Top publications · les plus citées

Publications scientifiques (20) — classées par pathologie

Transversal9

IA en rhumatologie3

Économie santé2

IRM ostéo-articulaire2

Essai clinique1

Pharmacovigilance1

Recommandations1

Revue générale1

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