Aller au contenu principal
Retour à l'annuaire
RhumatologueMédecins généralistes et spécialistes👤 Libéral intégral

Mme Docteur LUCIE DESCAMPS

📍 Issoire (63)Mixte💶 Secteur 2RPPS 10101321486
📊 Reconnaissance scientifique : 11/100📝 31 articles publiés📚 HAL (8)

Diplômes

🎓 DES & spécialité ordinale

  • DES Rhumatologie
  • Rhumatologie (SM)

🎓 Diplômes

  • DE Docteur en médecine

Source : Annuaire Santé ANS (FHIR Practitioner.qualification) · Mises à jour quotidiennes.

Activité de recherche & publications

Source : bases de données publiques (OpenAlex, PubMed).

h-index

11

h articles cités ≥ h fois chacun. Un h de 11 = 11 publications avec 11+ citations.

Citations

353

Publications

31

i10-index

11

Thématiques principales

  • Microfluidic and Bio-sensing Technologies ×12
  • Cancer Cells and Metastasis ×6
  • 3D Printing in Biomedical Research ×6
  • Characterization and Applications of Magnetic Nanoparticles ×6
  • Microbial Inactivation Methods ×5

Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.

Bibliographie

Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).

Localisation

Adresses géocodées via la Base Adresse Nationale (api-adresse.data.gouv.fr). Précision indicative.

Lieux de consultation

Tarifs & secteur de conventionnement

🟡 Secteur 2 — Honoraires libresSource CNAM (Annuaire santé Ameli)
OPTAM💳 Carte VitaleLibéral intégral

Prendre rendez-vous & contact

Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).

Top publications · les plus citées

  • 1
    Microfluidic-Based Technologies for CTC Isolation: A Review of 10 Years of Intense Efforts towards Liquid Biopsy

    International journal of molecular sciences · 2022

    📚 92 citations🎯 RCR 8.32Top 3% NIH🔓 Open Access📄 PDF gratuit ↗
    Lire l'abstract Crossref ↓

    The selection of circulating tumor cells (CTCs) directly from blood as a real-time liquid biopsy has received increasing attention over the past ten years, and further analysis of these cells may greatly aid in both research and clinical applications. CTC analysis could advance understandings of metastatic cascade, tumor evolution, and patient heterogeneity, as well as drug resistance. Until now, the rarity and heterogeneity of CTCs have been technical challenges to their wider use in clinical studies, but microfluidic-based isolation technologies have emerged as promising tools to address these limitations. This review provides a detailed overview of latest and leading microfluidic devices implemented for CTC isolation. In particular, this study details must-have device performances and highlights the tradeoff between recovery and purity. Finally, the review gives a report of CTC potential clinical applications that can be conducted after CTC isolation. Widespread microfluidic devices, which aim to support liquid-biopsy-based applications, will represent a paradigm shift for cancer clinical care in the near future.

  • 3
    Decision Tree With Only Two Musculoskeletal Sites to Diagnose Polymyalgia Rheumatica Using [(18)F]FDG PET-CT

    Frontiers in medicine · 2021

    📚 17 citations🎯 RCR 1.71🔓 Open Access📄 PDF gratuit ↗
    Lire l'abstract Crossref ↓

    Introduction: The aim of this study was to find the best ordered combination of two FDG positive musculoskeletal sites with a machine learning algorithm to diagnose polymyalgia rheumatica (PMR) vs. other rheumatisms in a cohort of patients with inflammatory rheumatisms.Methods: This retrospective study included 140 patients who underwent [18F]FDG PET-CT and whose final diagnosis was inflammatory rheumatism. The cohort was randomized, stratified on the final diagnosis into a training and a validation cohort. FDG uptake of 17 musculoskeletal sites was evaluated visually and set positive if uptake was at least equal to that of the liver. A decision tree classifier was trained and validated to find the best combination of two positives sites to diagnose PMR. Diagnosis performances were measured first, for each musculoskeletal site, secondly for combination of two positive sites and thirdly using the decision tree created with machine learning.Results: 55 patients with PMR and 85 patients with other inflammatory rheumatisms were included. Musculoskeletal sites, used either individually or in combination of two, were highly imbalanced to diagnose PMR with a high specificity and a low sensitivity. The machine learning algorithm identified an optimal ordered combination of two sites to diagnose PMR. This required a positive interspinous bursa or, if negative, a positive trochanteric bursa. Following the decision tree, sensitivity and specificity to diagnose PMR were respectively 73.2 and 87.5% in the training cohort and 78.6 and 80.1% in the validation cohort.Conclusion: Ordered combination of two visually positive sites leads to PMR diagnosis with an accurate sensitivity and specificity vs. other rheumatisms in a large cohort of patients with inflammatory rheumatisms.

Publications scientifiques (15) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

Transversal12

Revue générale2

Qualité de vie / PROMs1

Revue / méta-analyse1

Datasets & protocoles partagés

Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).

Partager cette fiche

in LinkedIn🟢 WhatsApp✉ Email

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