Malkoç E, Maurice MJ, Akça O et al (2018) Significance of the nonneoplastic renal parenchymal findings in robotic partial nephrectomy series. Schüürmann M, Stecher MM, Paasch U et al (2019) Evaluation of digital staining for ex vivo confocal laser scanning microscopy. Įschbacher JM, Georges JF, Belykh E et al (2017) Immediate label-free ex vivo evaluation of human brain tumor biopsies with confocal reflectance microscopy. įorest F, Cinotti E, Yvorel V et al (2015) Ex vivo confocal microscopy imaging to identify tumor tissue on freshly removed brain sample. īertoni L, Puliatti S, Reggiani Bonetti L et al (2020) Ex vivo fluorescence confocal microscopy: prostatic and periprostatic tissues atlas and evaluation of the learning curve. Yoshitake T, Giacomelli MG, Cahill LC et al (2016) Direct comparison between confocal and multiphoton microscopy for rapid histopathological evaluation of unfixed human breast tissue. Giataganas P, Hughes M, Payne CJ et al (2019) Intraoperative robotic-assisted large-area high-speed microscopic imaging and intervention. Saco A, Diaz A, Hernandez M et al (2017) Validation of whole-slide imaging in the primary diagnosis of liver biopsies in a University Hospital. Krishnamurthy S, Cortes A, Lopez M et al (2018) Ex vivo confocal fluorescence microscopy for rapid evaluation of tissues in surgical pathology practice. Puliatti S, Bertoni L, Pirola GM et al (2019) Ex vivo fluorescence confocal microscopy: the first application for real-time pathological examination of prostatic tissue. Pérez-Anker J, Ribero S, Yélamos O et al (2020) Basal cell carcinoma characterization using fusion ex vivo confocal microscopy: a promising change in conventional skin histopathology. (eds) Proceedings of the 2nd International Conference on medical imaging with deep learning. In: Cardoso MJ, Feragen A, Glocker B, et al. Ĭombalia M, Pérez-Anker J, García-Herrera A et al (2019) Digitally stained confocal microscopy through deep learning. Īlarcon I, Carrera C, Palou J et al (2014) Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions. Ĭinotti E, Perrot J-L, Labeille B et al (2015) Handheld reflectance confocal microscopy for the diagnosis of conjunctival tumors. Gareau DS, Jeon H, Nehal KS, Rajadhyaksha M (2012) Rapid screening of cancer margins in tissue with multimodal confocal microscopy. Ragazzi M, Longo C, Piana S (2016) Ex Vivo (fluorescence) confocal microscopy in surgical pathology: state of the art. Richards NT, Darby S, Howie AJ et al (1994) Knowledge of renal histology alters patient management in over 40% of cases. Welker M-W, Weiler N, Bechstein WO et al (2019) Key role of renal biopsy in management of progressive chronic kidney disease in liver graft recipients. ĭ’Agati VD, Cohen DJ (2003) Preimplantation renal biopsy: structure does predict function. Graphic abstractįiorentino M, Bolignano D, Tesar V et al (2016) Renal biopsy in 2015–from epidemiology to evidence-based indications. The ease and speed of grayscale and fluorescence image acquisition, together with the quality of the H&E-like digitally stained images obtained with this approach, suggest that this technique shows promise for use in clinical nephrology and renal transplantation. The ex vivo confocal microscopy protocol did not add artifacts to the sample for the ulterior study with light microscopy, nor to the histochemical or immunohistochemical studies. ResultsĬonfocal images correlated very well to the corresponding conventional histological sections, both in normal tissue and in chronic lesions (glomerulosclerosis, fibrosis and tubular atrophy). The imaging process was completed in an average of three minutes. Twenty-four renal samples acquired from autopsies were scanned in a 4th generation ex vivo confocal microscopy device. The objective of this study was to evaluate the feasibility of using ex vivo confocal microscopy in fusion mode (reflectance and fluorescence) and the H&E-like digital staining that is obtained for the analysis of non-neoplastic kidney biopsies. Ex vivo confocal microscopy is a technique for tissue examination, which generates images of fresh samples with an optical resolution comparable to those obtained by conventional pathology.
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