A pilot study investigating the feasibility of using a fully automatic software to assess the RENAL and PADUA score.

PURPOSE: Image-based morphometric scoring systems such as the RENAL and PADUA scores are useful to evaluate the complexity of partial nephrectomy for renal cell carcinoma (RCC). The main aim of this study was to develop a new imaging software to enable an automatic detection and a 3D visualization of RCC from CT angiography (CTA) and to address the feasibility to use it to evaluate the features of the RENAL and the PADUA scores. METHODS: A training dataset of 210 patients CTA-scans manually segmented was used to train a deep learning algorithm to develop the automatic detection and 3D-visualization of RCC. A trained operator blindly assessed the RENAL and PADUA scores on a testing dataset of 41 CTA from patients with RCC using a commercialized semi-automatic software (ground truth) and the new automatic software. Concordance between the two methods was evaluated. RESULTS: The median PADUA score was 9 (7-11) and the renal score was 8 (5.5-9). The automatic software enabled to automatically detect the tumoral kidney and provided a 3D-visualization in all cases, with a computational time less than 20 seconds. Concordances for staging the anatomical features of the RENAL scores were respectively: 87.8% for radius, 85.4% for exophytic rate, 82.9% for location to the polar lines and 92.7% for the antero-posterior location. For the PADUA scores, concordances were 90.2% for tumor size, 85.4% for exophytic rate, 87.8% for polar location and 100% for renal rim. CONCLUSION: By enabling an automatic 3D-visualization of tumoral kidney, this software could help to calculate morphometric scores, save time and improve reproducibility for clinicians.

Management of accessory renal arteries during aneurysm repair in a patient with end-stage renal failure.

The presence of accessory renal artery is a frequent anatomic variation that can challenge abdominal aortic aneurysm (AAA) repair. Here, we show an image of an abdominal aortic aneurysm extended to multiple accessory renal arteries in a patient known for an end-stage renal failure. This case raises the questions of the criteria that should be taken in consideration for an optimal management of accessory renal artery during AAA repair.

IL-1ß- and IL-4-polarized macrophages have opposite effects on adipogenesis of intramuscular fibro-adipogenic progenitors in humans.

Intramuscular fat deposition represents a negative prognostic factor for several myopathies, metabolic diseases and aging. Fibro-adipogenic progenitors (FAPs) are considered as the main source of intramuscular adipocytes, but the mechanisms controlling their adipogenic potential are still not elucidated in humans. The aim of this study was to explore the regulation of human FAP adipogenesis by macrophages. We found that CD140a-expressing FAPs were located close to CD68 positive macrophages in muscles from patients with Duchenne muscular dystrophy (DMD). This strongly suggests a potential interaction between FAPs and macrophages in vivo. Isolated human primary FAPs were then differentiated in the presence of conditioned media obtained from primary blood monocyte-polarized macrophages. Molecules released by IL-1ß-polarized macrophages (M(IL-1ß)) drastically reduced FAP adipogenic potential as assessed by decreased cellular lipid accumulation and reduced gene expression of adipogenic markers. This was associated with an increased gene expression of pro-inflammatory cytokines in FAPs. Conversely, factors secreted by IL-4-polarized macrophages (M(IL-4)) enhanced FAP adipogenesis. Finally, the inhibition of FAP adipocyte differentiation by M(IL-1ß) macrophages requires the stimulation of Smad2 phosphorylation of FAPs. Our findings identify a novel potential crosstalk between FAPs and M(IL-1ß) and M(IL-4) macrophages in the development of adipocyte accumulation in human skeletal muscles.