Ex vivo fluorescence confocal microscopy: prostatic and periprostatic tissues atlas and evaluation of the learning curve

Ex vivo fluorescence confocal microscopy: prostatic and periprostatic tissues atlas and evaluation of the learning curve
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DOI:
10.1007/s00428-019-02738-y
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发表时间:
2020-01-06
期刊:
影响因子:
3.5
通讯作者:
Montironi, Rodolfo
Montironi, Rodolfo
中科院分区:
医学3区
文献类型:
--
作者:
Bertoni, Laura;Puliatti, Stefano;Montironi, Rodolfo

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离体荧光共聚焦显微镜(FCM)是一种光学技术,可提供新鲜切除组织的快速HE样图像,主要用于皮肤恶性肿瘤的“实时”病理检查。它也被证明是一个有前途的工具,前列腺组织的快速病理检查。我们的目标是创建一个图集的FCM图像的前列腺和前列腺周围组织,以促进这些图像的解释。此外,我们的目的是评估这种新技术的图像解释的学习曲线。使用FCM VivaScope(R)2500 M-G4(Mavig GmbH,慕尼黑,德国; Caliber I.D.;罗切斯特纽约,美国)。示出了具有相应H&E的FCM的图像以创建图谱。此外,要求两位病理学家在90天间隔后重新评估80个标本,以评估FCM图像解释的学习曲线。FCM能够区分不同类型的前列腺和前列腺周围组织,包括良性前列腺腺体,良性前列腺增生,高级别上皮内肿瘤和前列腺腺癌。至于学习曲线,FCM表现出较短的学习曲线。我们创建了一个图谱,可以作为泌尿科医生和病理学家学习和解释前列腺和前列腺周围组织的FCM图像的基础。此外,FCM图像是很容易解释,但是,需要进一步的研究,以探索这种新技术在前列腺癌的诊断和管理的潜在应用。
Ex vivo fluorescence confocal microscopy (FCM) is an optical technology that provides fast H&E-like images of freshly excised tissues, and it has been mainly used for "real-time" pathological examination of dermatological malignancies. It has also shown to be a promising tool for fast pathological examination of prostatic tissues. We aim to create an atlas for FCM images of prostatic and periprostatic tissues to facilitate the interpretation of these images. Furthermore, we aimed to evaluate the learning curve of images interpretation of this new technology. Eighty fresh and unprepared biopsies obtained from radical prostatectomy specimens were evaluated using the FCM VivaScope (R) 2500 M-G4 (Mavig GmbH, Munich, Germany; Caliber I.D.; Rochester NY, USA) by two pathologists. Images of FCM with the corresponding H&E are illustrated to create the atlas. Furthermore, the two pathologists were asked to re-evaluate the 80 specimens after 90 days interval in order to assess the learning curve of images' interpretation of FCM. FCM was able to differentiate between different types of prostatic and periprostatic tissues including benign prostatic glands, benign prostatic hyperplasia, high-grade intraepithelial neoplasm, and prostatic adenocarcinoma. As regards the learning curve, FCM demonstrated a short learning curve. We created an atlas that can serve as the base for urologists and pathologists for learning and interpreting FCM images of prostatic and periprostatic tissues. Furthermore, FCM images is easily interpretable; however, further studies are required to explore the potential applications of this new technology in prostate cancer diagnosis and management.