Publications by authors named "Benoit Magnin"

Background: Transarterial chemoembolization (TACE) is recommended as a palliative treatment for patients of the B stage of the Barcelona Clinic Liver Cancer (BCLC) classification.

Aims: To identify clinical, biological, and radiological predictors of survival in patients undergoing TACE and develop a pre-therapeutic prognostic score.

Methods: 191 adult cirrhotic patients treated for HCC with TACE at the University Hospital (UH) of Clermont-Ferrand (France) from 2007-2017 were retrospectively included.

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Richter transformation (RT) is an aggressive lymphoma occurring in patients with chronic lymphocytic leukaemia. Here we investigated the anti-CD3/anti-CD19 T-cell-engager blinatumomab after R-CHOP (i.e.

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  • DLIR (Deep Learning Image Reconstructions) significantly improves the detection and visibility of liver metastases compared to traditional iterative reconstruction methods like ASiR-V.
  • A study with CT images from 121 patients showed that higher levels of DLIR led to a greater number of detected metastases and enhanced their visibility.
  • This research highlights the clinical potential of using DLIR technology to improve oncological management by better identifying liver metastases.
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Background: Non-alcoholic fatty liver disease (NAFLD) is becoming a major health problem, resulting in hepatic, metabolic and cardio-vascular morbidity.

Aim: To evaluate new ultrasonographic tools to detect and measure hepatic steatosis.

Methods: We prospectively included 105 patients referred to our liver unit for NAFLD suspicion or follow-up.

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  • Eyelid basal cell carcinoma (BCC) can often be treated with surgery, but some patients can't undergo surgery or radiotherapy due to severe complications, making vismodegib a key alternative treatment.
  • A literature review was conducted to understand how surgery might be performed after patients receive vismodegib for their BCC.
  • Evidence shows that vismodegib is effective and well-tolerated as a preliminary treatment for advanced eyelid BCC, and surgical options may still be considered for residual lesions following this treatment.
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Purpose: Immunotherapy has dramatically improved the prognosis of patients with metastatic melanoma (MM). Yet, there is a lack of biomarkers to predict whether a patient will benefit from immunotherapy. Our aim was to create radiomics models on pretreatment computed tomography (CT) to predict overall survival (OS) and treatment response in patients with MM treated with anti-PD-1 immunotherapy.

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Background: Gastric pneumatosis (GP) is a rare radiologic finding with an unpredictable prognosis. The aim of this study was to identify mortality risk factors from patients presenting with GP on computed tomography (CT), and to develop a model which would allow us to predict which patients would benefit most from operative management.

Methods: Between 2010 and 2020, all CT-scan reports in four tertiary centers were searched for the following terms: "gastric pneumatosis," "intramural gastric air" or "emphysematous gastritis.

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  • The study aimed to determine if contrast-enhanced CT scans, analyzed through radiomics, could predict cancer recurrence in patients with stage II and III colorectal cancer across two hospitals.
  • In total, 193 patients were analyzed, using a statistical method (B-ComBat) to standardize data from both centers, and various machine learning models were employed to predict disease-free survival (DFS).
  • Results showed that the multivariate regression model incorporating postoperative chemotherapy and specific radiomic features had the best predictive accuracy, indicating that harmonized radiomics can effectively predict recurrence in these cancer stages.
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Background: Endoscopic mucosal healing is the current therapeutic target in Crohn's disease. However, transmural healing could lead to better outcomes.

Aims: To assess whether transmural healing or magnetic resonance imaging (MRI) healing are better therapeutic targets than endoscopic mucosal healing to predict long-term improved outcome in Crohn's disease METHODS: From our MRI database, we retrospectively identified all Crohn's disease patients who had MRI and colonoscopy within a 3-month interval (median interval = 17.

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  • Augmented reality (AR) technology enhances laparoscopic surgery by allowing surgeons to see subsurface structures in real-time, improving surgical precision.
  • The first cases of using AR for laparoscopic myomectomies involved two patients, aged 31 and 38, where preoperative MRI and diffusion tensor imaging (DTI) provided crucial insights into the uterine muscle fibers.
  • The integration of DTI information with endoscopic video helped surgeons visualize myomas and determine optimal incision points, indicating the potential for improved surgical outcomes.
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Background: Progressive supranuclear palsy (PSP) is a neurodegenerative clinically heterogeneous disorder, formal diagnosis being based on postmortem histological brain examination.

Objective: We aimed to perform a precise in vivo staging of neurodegeneration in PSP using quantitative multimodal MRI. The ability of MRI biomarkers to differentiate PSP from PD was also evaluated.

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Purpose: Given the growing prevalence of obesity and metabolic syndrome, the management of hepatic steatosis, especially its quantification, is a major issue. We assessed the quantification of liver steatosis using four different MR methods, in order to determine the one that is best correlated with the reference method which consists of histological measurement by liver biopsy.

Method: Seventy-one successive patients requiring liver biopsy for acute or chronic liver disease were enrolled prospectively between March 2017 and March 2018, 11 were excluded and 60 were reported.

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Developing methods to segment the liver in medical images, study and analyze it remains a significant challenge. The shape of the liver can vary considerably from one patient to another, and adjacent organs are visualized in medical images with similar intensities, making the boundaries of the liver ambiguous. Consequently, automatic or semi-automatic segmentation of liver is a difficult task.

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Background: Proper segmentation of the liver from medical images is critical for computer-assisted diagnosis, therapy and surgical planning. Knowledge of its vascular structure allows division of the liver into eight functionally independent segments, each with its own vascular inflow, known as the Couinaud scheme. Couinaud's description is the most widely used classification, since it is well-suited for surgery and accurate for the localization of lesions.

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Augmented reality (AR) is a surgical guidance technology that allows key hidden subsurface structures to be visualized by endoscopic imaging. We report here 2 cases of patients with adenomyoma selected for the AR technique. The adenomyomas were localized using AR during laparoscopy.

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Aim: To assess magnetic resonance imaging (MRI) and faecal calprotectin to detect endoscopic postoperative recurrence in patients with Crohn's disease (CD).

Methods: From two tertiary centers, all patients with CD who underwent ileocolonic resection were consecutively and prospectively included. All the patients underwent MRI and endoscopy within the first year after surgery or after the restoration of intestinal continuity [median = 6 mo (5.

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Purpose: We present and evaluate a new automated method based on support vector machine (SVM) classification of whole-brain anatomical magnetic resonance imaging to discriminate between patients with Alzheimer's disease (AD) and elderly control subjects.

Materials And Methods: We studied 16 patients with AD [mean age +/- standard deviation (SD) = 74.1 +/- 5.

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Purpose: To prospectively evaluate the accuracy of automated hippocampal volumetry to help distinguish between patients with Alzheimer disease (AD), patients with mild cognitive impairment (MCI), and elderly controls, by using established criteria for patients with AD and MCI as the reference standard.

Materials And Methods: The regional ethics committee approved the study and written informed consent was obtained from all participants. The study included 25 patients with AD (11 men, 14 women; mean age +/- standard deviation [SD], 73 years +/- 6; Mini-Mental State Examination (MMSE) score, 24.

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