📇 Rhumatologue · ST PIERRE · (974) · Hospitalier

M Mohamed KHETTAB

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3 raisons identifiées

Plateau technique de référence
Centre hospitalier universitaire (CHU) — équipements et expertise pointus pour les cas complexes
Praticien-chercheur
8 articles scientifiques publiés — formation continue solide
Délais de RDV courts dans la région
119.7 rhumatos / 100 000 hab. — département bien doté

Rhumatologue

📍 ST PIERRE (974)HospitalierRPPS 10101247228

Publications actives

42 publications sur 5 ans

📊 Reconnaissance scientifique : 12/100📝 62 articles publiés🇫🇷 Publications académiques françaises (8)

✨ Génération du profil synthétique IA en cours…

Activité de recherche & publications

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

A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI

Diagnostics (Basel, Switzerland) · 2021

📚 18 citations🎯 RCR 1.68🔓 Open Access📄 PDF gratuit ↗

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Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adult patients with a median survival of around one year. Prediction of survival outcomes in GBM patients could represent a huge step in treatment personalization. The objective of this study was to develop machine learning (ML) algorithms for survival prediction of GBM patient. We identified a radiomic signature on a training-set composed of data from the 2019 BraTS challenge (210 patients) from MRI retrieved at diagnosis. Then, using this signature along with the age of the patients for training classification models, we obtained on test-sets AUCs of 0.85, 0.74 and 0.58 (0.92, 0.88 and 0.75 on the training-sets) for survival at 9-, 12- and 15-months, respectively. This signature was then validated on an independent cohort of 116 GBM patients with confirmed disease relapse for the prediction of patients surviving less or more than the median OS of 22 months. Our model insured an AUC of 0.71 (0.65 on train). The Kaplan–Meier method showed significant OS difference between groups (log-rank p = 0.05). These results suggest that radiomic signatures may improve survival outcome predictions in GBM thus creating a solid clinical tool for tailoring therapy in this population.

Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab

Diagnostics (Basel, Switzerland) · 2021

📚 13 citations🔓 Open Access📄 PDF gratuit ↗

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Anti-angiogenic therapy with bevacizumab is a widely used therapeutic option for recurrent glioblastoma (GBM). Nevertheless, the therapeutic response remains highly heterogeneous among GBM patients with discordant outcomes. Recent data have shown that radiomics, an advanced recent imaging analysis method, can help to predict both prognosis and therapy in a multitude of solid tumours. The objective of this study was to identify novel biomarkers, extracted from MRI and clinical data, which could predict overall survival (OS) and progression-free survival (PFS) in GBM patients treated with bevacizumab using machine-learning algorithms. In a cohort of 194 recurrent GBM patients (age range 18–80), radiomics data from pre-treatment T2 FLAIR and gadolinium-injected MRI images along with clinical features were analysed. Binary classification models for OS at 9, 12, and 15 months were evaluated. Our classification models successfully stratified the OS. The AUCs were equal to 0.78, 0.85, and 0.76 on the test sets (0.79, 0.82, and 0.87 on the training sets) for the 9-, 12-, and 15-month endpoints, respectively. Regressions yielded a C-index of 0.64 (0.74) for OS and 0.57 (0.69) for PFS. These results suggest that radiomics could assist in the elaboration of a predictive model for treatment selection in recurrent GBM patients.

Interaction between the Number of Chemotherapy Cycles and Brachytherapy Dose/Volume Parameters in Locally Advanced Cervical Cancer Patients

Journal of clinical medicine · 2020

📚 11 citations🔓 Open Access📄 PDF gratuit ↗

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Scarce data exist on concurrent chemotherapy in locally advanced cervical cancer (LACC) patients (pts) treated with image-guided adaptive brachytherapy (IGABT). We examined the effect of a number of chemotherapy cycles and their interaction with brachytherapy dose/volume parameters. Clinical records of 209 consecutive pts treated for a LACC were reviewed. Pts received CRT concurrently with cisplatin 40 mg/m² or carboplatin AUC2. An additional cycle could have been delivered during the pulse-dose rate (PDR)-IGABT. The impact of a number of chemotherapy cycles on outcome was examined, as well as the interactions with dose volume parameters. The number of cycles was four in 55 (26.3%) pts, five in 154 (73.7%) including 101 receiving the fifth cycle during IGABT. Median follow-up was 5.5 years. Pts receiving five cycles had a better outcome on all survival endpoints, including three year local control rate (93.9% vs. 77.2%; p < 0.05). In the subgroup, only pts with tumor FIGO (Fédération Internationale de Gynécologie Obstétrique) stage ≤IIB or with CTVHR > 25 cm3 had a better outcome. Pts receiving four cycles with D90CTVHR > 80GyEQD2 had the same locoregional control–(LRC) as those receiving five cycles and achieving D90CTVHR ≤ 80 GyEQD2 (p = 0.75). An optimal propensity score matching the balance for the FIGO stage, CTVHR volume and D90CTVHR confirmed the effect, with the largest life expectancy benefit for locoregional failure-free survival (absolute gain: 1.5 years; p = 0.017). Long-term radiation-induced toxicity was not increased. Increasing the total number of cycles from 4 to 5 improved LFS, suggesting a place for systemic strategies aimed at in-field cooperation. Delivering an additional cycle at the time of brachytherapy did not increase morbidity and there permitted an increase in chemotherapy dose intensity.

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M Mohamed KHETTAB

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Activité de recherche & publications

Publications académiques en France

Lieu de consultation

Tarifs & secteur de conventionnement

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Top publications · les plus citées

Publications scientifiques (8) — classées par pathologie

Transversal6

Case report / série1

Revue générale1

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