📇 Rhumatologue · LA ROCHELLE · (17) · Salarié

MME Monique BLANCHARD

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4 raisons identifiées

Praticien-chercheur
9 articles scientifiques publiés — formation continue solide
Expérience confirmée
37 ans d'exercice en rhumatologie — recul clinique solide
Disponibilité géographique
2 lieux d'exercice — choisissez celui qui vous arrange
Délais de RDV courts dans la région
120.2 rhumatos / 100 000 hab. — département bien doté

Rhumatologue

📍 LA ROCHELLE (17)SalariéRPPS 10002700820

Expérience confirmée

37ans d'exercice (thèse 1989)

📊 Reconnaissance scientifique : 6/100📝 13 articles publiés🇫🇷 Publications académiques françaises (3)

✨ 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

Gulf War veterans' health: medical evaluation of a U.S. cohort

Annals of internal medicine · 2005

📚 100 citations🎯 RCR 3.14Top 15% NIH

Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid Arthritis

Digital biomarkers · 2022

📚 26 citations🎯 RCR 3.24Top 15% NIH🔓 Open Access📄 PDF gratuit ↗

Lire l'abstract Crossref ↓

Digital biomarkers such as wearables are of increasing interest in monitoring rheumatic diseases, but they usually lack disease specificity. In this study, we apply convolutional neural networks (CNN) to real-world hand photographs in order to automatically detect, extract, and analyse dorsal finger fold lines as a correlate of proximal interphalangeal (PIP) joint swelling in patients with rheumatoid arthritis (RA). Hand photographs of RA patients were taken by a smartphone camera in a standardized manner. Overall, 190 PIP joints were categorized as either swollen or not swollen based on clinical judgement and ultrasound. Images were automatically preprocessed by cropping PIP joints and extracting dorsal finger folds. Subsequently, metrical analysis of dorsal finger folds was performed, and a CNN was trained to classify the dorsal finger lines into swollen versus non-swollen joints. Representative horizontal finger folds were also quantified in a subset of patients before and after resolution of PIP swelling and in patients with disease flares. In swollen joints, the number of automatically extracted deep skinfold imprints was significantly reduced compared to non-swollen joints (1.3, SD 0.8 vs. 3.3, SD 0.49, <i>p</i> &#x3c; 0.01). The joint diameter/deep skinfold length ratio was significantly higher in swollen (4.1, SD 1.4) versus non-swollen joints (2.1, SD 0.6, <i>p</i> &#x3c; 0.01). The CNN model successfully differentiated swollen from non-swollen joints based on finger fold patterns with a validation accuracy of 0.84, a sensitivity of 88%, and a specificity of 75%. A heatmap of the original images obtained by an extraction algorithm confirmed finger folds as the region of interest for correct classification. After significant response to disease-modifying antirheumatic drug ± corticosteroid therapy, longitudinal metrical analysis of eight representative deep finger folds showed a decrease in the mean diameter/finger fold length (finger fold index, FFI) from 3.03 (SD 0.68) to 2.08 (SD 0.57). Conversely, the FFI increased in patients with disease flares. In conclusion, automated preprocessing and the application of CNN algorithms in combination with longitudinal metrical analysis of dorsal finger fold patterns extracted from real-world hand photos might serve as a digital biomarker in RA.

Medical Correlates of Chronic Multisymptom Illness in Gulf War Veterans

The American journal of medicine · 2019

📚 16 citations🎯 RCR 1.16

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MME Monique BLANCHARD

Pourquoi vous devez consulter ce praticien

Thèses universitaires

Activité de recherche & publications

Publications académiques en France

Lieux de consultation(2)

Tarifs & secteur de conventionnement

Prendre rendez-vous & contact

Top publications · les plus citées

Publications scientifiques (9) — classées par pathologie

Transversal7

Biomarqueurs / Auto-Ac1

Épidémiologie & registres1

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