Fassler Carly, Aweeda Marina, Perez Alexander N, Chung Yuna, Yueh Spencer, Sinard Robert J, Rohde Sarah L, Mannion Kyle, Langerman Alexander J, Rosenthal Eben L, Wu Jie Ying, Mehrad Mitra, Ely Kim, Lewis James S, Topf Michael C
Vanderbilt University Medical Center, Department of Otolaryngology - Head and Neck Surgery, Nashville, TN, United States of America.
Vanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, TN, United States of America.
J Pathol Inform. 2024 Sep 28;15:100399. doi: 10.1016/j.jpi.2024.100399. eCollection 2024 Dec.
The current standard-of-care pathology report relies only on lengthy written text descriptions without a visual representation of the resected cancer specimen. This study demonstrates the feasibility of incorporating virtual, three-dimensional (3D) visual pathology reports to improve communication of final pathology reporting.
Surgical specimens are 3D scanned and virtually mapped alongside the pathology team to replicate grossing. The 3D specimen maps are incorporated into a hybrid visual pathology report which displays the resected specimen and sampled margins alongside gross measurements, tumor characteristics, and microscopic diagnoses.
Visual pathology reports were created for 10 head and neck cancer cases. Each report concisely communicated information from the final pathology report in a single page and contained significantly fewer words (293.4 words) than standard written pathology reports (850.1 words, < 0.01).
We establish the feasibility of a novel visual pathology report that includes an annotated visual model of the resected cancer specimen in place of lengthy written text of standard of care head and neck cancer pathology reports.
当前的标准治疗病理报告仅依赖冗长的书面文字描述,而没有对切除的癌症标本进行可视化呈现。本研究证明了纳入虚拟三维(3D)视觉病理报告以改善最终病理报告沟通的可行性。
手术标本进行3D扫描,并与病理团队一起进行虚拟映射以复制大体标本检查。3D标本图被纳入混合视觉病理报告中,该报告展示了切除的标本和取样边缘以及大体测量、肿瘤特征和显微镜诊断。
为10例头颈癌病例创建了视觉病理报告。每份报告在单页中简洁地传达了最终病理报告中的信息,并且包含的字数(293.4个单词)明显少于标准书面病理报告(850.1个单词,<0.01)。
我们确立了一种新型视觉病理报告的可行性,该报告包括切除的癌症标本的注释视觉模型,以取代标准治疗头颈癌病理报告中的冗长书面文字。