Extensive buruli ulcer in a patient returning from Mali and Senegal.

no abstract requested for correspondance items.

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.

We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to (i) spend less time on data management and processing, (ii) perform reproducible evaluations of their methods, and (iii) easily share data and results within their institution and with external collaborators. The core of Clinica is a set of automatic pipelines for processing and analysis of multimodal neuroimaging data (currently, T1-weighted MRI, diffusion MRI, and PET data), as well as tools for statistics, machine learning, and deep learning. It relies on the brain imaging data structure (BIDS) for the organization of raw neuroimaging datasets and on established tools written by the community to build its pipelines. It also provides converters of public neuroimaging datasets to BIDS (currently ADNI, AIBL, OASIS, and NIFD). Processed data include image-valued scalar fields (e.g., tissue probability maps), meshes, surface-based scalar fields (e.g., cortical thickness maps), or scalar outputs (e.g., regional averages). These data follow the ClinicA Processed Structure (CAPS) format which shares the same philosophy as BIDS. Consistent organization of raw and processed neuroimaging files facilitates the execution of single pipelines and of sequences of pipelines, as well as the integration of processed data into statistics or machine learning frameworks. The target audience of Clinica is neuroscientists or clinicians conducting clinical neuroscience studies involving multimodal imaging, and researchers developing advanced machine learning algorithms applied to neuroimaging data.

A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI.

OBJECTIVE: 7-Tesla MRI of the hippocampus enhances the visualization of its internal substructures. Among these substructures, the cornu Ammonis and subiculum form a contiguous folded ribbon of gray matter. Here, we propose a method to analyze local thickness measurements of this ribbon. METHODS: We introduce an original approach based upon the estimation of a diffeomorphic vector field that traverses the ribbon. The method is designed to handle specificities of the hippocampus and corresponding 7-Tesla acquisitions: highly convoluted surface, non-closed ribbon, incompletely defined inner/outer boundaries, anisotropic acquisitions. We furthermore propose to conduct group comparisons using a population template built from the central surfaces of individual subjects. RESULTS: We first assessed the robustness of our approach to anisotropy, as well as to inter-rater variability, on a post-mortem scan and on in vivo acquisitions respectively. We then conducted a group study on a dataset of in vivo MRI from temporal lobe epilepsy (TLE) patients and healthy controls. The method detected local thinning patterns in patients, predominantly ipsilaterally to the seizure focus, which is consistent with medical knowledge. CONCLUSION: This new technique allows measuring the thickness of the hippocampus from 7-Tesla MRI. It shows good robustness with respect to anisotropy and inter-rater variability and has the potential to detect local atrophy in patients. SIGNIFICANCE: As 7-Tesla MRI is increasingly available, this new method may become a useful tool to study local alterations of the hippocampus in brain disorders. It is made freely available to the community (code: https://github.com/aramis-lab/hiplay7-thickness, postmortem segmentation: https://doi.org/10.5281/zenodo.3533264).

Association of Anti-Programmed Cell Death 1 Antibody Treatment With Risk of Recurrence of Toxic Effects After Immune-Related Adverse Events of Ipilimumab in Patients With Metastatic Melanoma.

Importance: Since 2011, many patients with metastatic melanoma have been treated with ipilimumab therapy and have developed severe immune-related adverse events (AEs). Because several immune therapies are now available to treat metastatic melanoma, a better knowledge of mechanisms and recurrence risks of immune-related AEs is needed before reintroduction of immunotherapies. Objectives: To evaluate the risk of a recurrence of immune toxic effects associated with anti-programmed cell death 1 antibody (anti-PD-1) therapy after discontinuation of ipilimumab monotherapy because of severe AEs. Design, Settings, and Participants: This cohort study conducted at 19 French melanoma referral centers included patients with metastatic melanoma who experienced severe immune-related AEs after ipilimumab therapy and then were treated with anti-PD-1 therapy between February 1, 2013, and December 31, 2016. The study cutoff was June 1, 2017. Statistical analysis was performed from June 1, 2016, to August 31, 2017. Exposures: Monotherapy with at least 1 cycle of ipilimumab that was associated with a grade 3 or 4 immune-related AE and subsequent treatment with at least 1 cycle of an anti-PD-1 (nivolumab or pembrolizumab) therapy. Main Outcomes and Measures: The primary outcome was the rate of immune-related AEs associated with anti-PD-1 therapy. Secondary outcomes were characteristics of ipilimumab-related and anti-PD-1 immune-related AEs and overall response rate and overall survival associated with anti-PD-1 therapy. Results: Of 56 patients with metastatic melanoma included in the study, all of whom experienced severe immune-related AEs after ipilimumab therapy (31 [55%] male; mean [SD] age, 64 [14.9] years), 20 (36%) experienced at least 1 immune-related AE associated with pembrolizumab (6 of 20 [30%]) or nivolumab (14 of 20 [70%]) therapy. A total of 12 patients (21%) experienced grade 3 or 4 immune-related AEs, and among these patients, 4 (33%) presented with the same immune-related AE as with ipilimumab therapy. Severe immune-related AEs were resolved with use of systemic corticosteroids (7 [58%]) and/or anti-tumor necrosis factor (1 [8%]), and no grade 5 toxic effects were reported. Five patients discontinued anti-PD-1 therapy because of immune-related AEs. The overall response rate was 43%, with a median overall survival of 21 months (interquartile range, 18 to ongoing). Conclusions and Relevance: The findings suggest that anti-PD-1 therapy may be associated with reduced risk of toxic effects and improved survival among patients who have experienced severe toxic effects after ipilimumab therapy.

Mucous Membrane Pemphigoid, Bullous Pemphigoid, and Anti-programmed Death-1/ Programmed Death-Ligand 1: A Case Report of an Elderly Woman With Mucous Membrane Pemphigoid Developing After Pembrolizumab Therapy for Metastatic Melanoma and Review of the Literature.

An 83-year-old patient developed erosions and a blister of the gingival mucous membrane, 6 months after discontinuation of the anti-programmed death-1 (anti PD-1) pembrolizumab therapy administered for 10 months for a metastatic melanoma. A diagnosis of mild mucous membrane pemphigoid (MMP) was made. Complete remission of MMP was rapidly obtained with minimal therapy (doxycycline). MMP remained in complete remission after a 3-month follow-up since discontinuation of the doxycycline therapy and no evidence of relapse of the melanoma was observed after a 14-month follow-up since discontinuation of the pembrolizumab therapy. The widespread use of anti PD-1 and anti-programmed death-ligand-1 (PD-L1) in several malignancies reveals new adverse events. MMP describes a group of chronic, inflammatory, mucous membrane-predominant, subepithelial auto-immune blistering diseases. It is clinically distinct from bullous pemphigoid another autoimmune blistering disease but shares some immunological similarities with it. Twenty-nine cases of bullous pemphigoid associated with anti PD-1/PD-L1 have been reported in the literature and one of MMP. Here, we described the case of a MMP developed after pembrolizumab and discussed the accountability of anti PD-1/PD-L1 in our case and the previous reported bullous pemphigoid and MMP cases using the Begaud system scoring.

Non-rigid 2D-3D registration using anisotropic error ellipsoids to account for projection uncertainties during aortic surgery.

Overlay of preoperative images is increasingly being used to aid complex endovascular aortic repair and is obtained by rigid 2D-3D registration of 3D preoperative (CT) and 2D intraoperative (X-ray) data. However, for tortuous aortas large non-rigid deformations occur, thus a non-rigid registration must be performed to enable an accurate overlay. This article proposes the use of Thin-Plate Splines (TPS) to perform non-rigid 2D-3D registration. Intraoperative X-ray data contain no spatial information along the X-ray projection direction. Our approach accounts for this lack of spatial information by the use of an approximating TPS with non-isotropic error ellipsoids, where the major ellipsoid axis is aligned with the X-ray projection direction. Experiments are carried out using 1D-2D and 2D-3D simulated data and 2D-3D interventional data. Simulated results show that our proposed method is 1.5 times more accurate than interpolating TPS based registration. Interventional data results show how large rigid registration errors of 9mm can be reduced to 4mm using our proposed method.