ArticleJournal of pathology informatics2023
Ex vivo 3D scanning and specimen mapping in anatomic pathology.
Article in Journal of pathology informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- An automated end-to-end pipeline for the management, de-identification, and distribution of whole-slide images using DICOM: An institutional implementation.Journal of pathology informatics · 2026Article
- Three-Dimensional Presentation of Tongue Squamous Cell Carcinoma Histopathology and Magnetic Resonance Imaging-A Novel Image Fusion Method.Head & neck · 2026Article
- Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- Visual pathology reports for improved collaboration at multidisciplinary head and neck tumor board.Head & neck · 2025Article
- Digital mapping of resected cancer specimens: The visual pathology report.Journal of pathology informatics · 2024Article
- Visual pathology reports for communication of final margin status in laryngeal cancer surgery.Journal of pathology informatics · 2024Article
- How far are we off? Analyzing the accuracy of surgical margin relocation in the head and neck.Head & neck · 2024Article
- Improving Interdisciplinary Communication and Pathology Reporting for Head and Neck Cancer Resections: 3D Visualizations and Margin Reconciliation.Head and neck pathology · 2024Article
- ASO Author Reflections: 3D Specimen Scanning in Musculoskeletal Oncology.Annals of surgical oncology · 2024Article
- How Often is Cancer Present in Oral Cavity Re-resections After Initial Positive Margins?The Laryngoscope · 2024Article
- Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site.NPJ precision oncology · 2024Article
- Virtual 3D Specimen Mapping in Head & Neck Oncologic Surgery.The Laryngoscope · 2024Article
- Augmented-Reality Surgery to Guide Head and Neck Cancer Re-resection: A Feasibility and Accuracy Study.Annals of surgical oncology · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.