Ex vivo 3D scanning and specimen mapping in anatomic pathology

Q2 Medicine
Alexander N. Perez , Kayvon F. Sharif , Erica Guelfi , Sophie Li , Alexis Miller , Kavita Prasad , Robert J. Sinard , James S. Lewis Jr , Michael C. Topf
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引用次数: 5

Abstract

Structured light three-dimensional (3D) scanning is a ubiquitous mainstay of object inspection and quality control in industrial manufacturing, and has recently been integrated into various medical disciplines. Photorealistic 3D scans can readily be acquired from fresh or formalin-fixed tissue and have potential for use within anatomic pathology (AP) in a variety of scenarios, ranging from direct clinical care to documentation and education. Methods for scanning and post-processing of fresh surgical specimens rely on relatively low-cost and technically simple procedures. Here, we demonstrate potential use of 3D scanning in surgical pathology in the form of a mixed media pathology report with a novel post-scan virtual inking and marking technique to precisely demarcate areas of tissue sectioning and details of final tumor and margin status. We display a sample mixed-media pathology report (3D specimen map) which integrates 3D and conventional pathology reporting methods. Finally, we describe the potential utility of 3D specimen modeling in both didactic and experiential teaching of gross pathology lab procedures.

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Abstract Image

Abstract Image

解剖病理中的离体3D扫描和标本标测。
结构光三维(3D)扫描是工业制造中物体检测和质量控制的普遍支柱,最近已被整合到各个医学学科中。逼真的3D扫描可以很容易地从新鲜或福尔马林固定的组织中获得,并有可能在解剖病理学(AP)中用于各种场景,从直接临床护理到文件和教育。新鲜外科标本的扫描和后处理方法依赖于相对低成本和技术简单的程序。在这里,我们展示了3D扫描在外科病理学中的潜在用途,其形式是混合介质病理学报告,以及一种新的扫描后虚拟墨迹和标记技术,以精确划分组织切片区域以及最终肿瘤和边缘状态的细节。我们展示了一份样本混合介质病理学报告(3D标本图),该报告集成了3D和传统病理学报告方法。最后,我们描述了三维标本建模在大体病理学实验室程序的教学和体验教学中的潜在效用。
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来源期刊
Journal of Pathology Informatics
Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine
CiteScore
3.70
自引率
0.00%
发文量
2
审稿时长
18 weeks
期刊介绍: The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.
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