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基于头颈部鳞状细胞癌常规切缘标记的手术切缘 3D 解剖定位的变异性。

Variance in 3D anatomic localization of surgical margins based on conventional margin labeling in head and neck squamous cell carcinoma.

机构信息

Department of Otolaryngology - Head & Neck Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, United States.

Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, United States.

出版信息

Oral Oncol. 2023 Apr;139:106360. doi: 10.1016/j.oraloncology.2023.106360. Epub 2023 Mar 14.

Abstract

OBJECTIVE

In head and neck cancer (HNC), positive margins are strongly predictive of treatment failure. We sought to measure the accuracy of localization of margin sampling sites based on conventional anatomic labels using a digital 3D-model.

METHODS

Preoperative CT scans for 9 patients with HNC treated operatively at our institution were imported into a multiplanar radiology software, which was used to render a digital 3D model of each tumor intended to represent the resection specimen. Surgical margin labels recorded during the operative case were collected from pathology records. Margin labels (N = 64) were presented to participating physicians.Participants were asked to mark the anatomic location of each surgical margin using the 3D-model and corresponding radiographic planes for reference.For each individual margin, the 3D coordinates of each participant's marker were used to calculate a mean localization point called the geometric centroid. Mean distance from individual markers to the centroid was compared between participantsand margin types.

RESULTS

Amongst 7 surgeons, markers were placed a mean distance of 12.6 mm ([SD] = 7.5) from the centroid.Deep margins were marked with a greater mean distance than mucosal/skin margins (19.6 [24.8] mm vs. 15.3 [14.9] mm, p = 0.034). When asked to relocate a margin following re-resection, surgeons marked a point an average of 20.6 [12.4] mm from their first marker with a range of 3.9- 45.1 mm.

CONCLUSIONS

Retrospective localization of conventionally labeled margins is an imprecise process with variability across the care team. Future interventions targeting margin documentation and communication may improve sampling precision.

摘要

目的

在头颈部癌症(HNC)中,阳性边缘强烈预示着治疗失败。我们试图通过数字 3D 模型来衡量基于常规解剖标签定位边缘采样部位的准确性。

方法

将我院 9 例接受手术治疗的 HNC 患者的术前 CT 扫描导入多平面放射学软件,该软件用于生成每个肿瘤的数字 3D 模型,旨在代表切除标本。从病理记录中收集手术过程中记录的手术边缘标签。向参与研究的医生展示 64 个边缘标签。参与者被要求使用 3D 模型和相应的放射学平面标记每个手术边缘的解剖位置。对于每个单独的边缘,使用每个参与者标记的 3D 坐标计算称为几何质心的平均定位点。比较了参与者和边缘类型之间每个个体边缘的标记到质心的平均距离。

结果

在 7 名外科医生中,标记距离质心的平均距离为 12.6 [7.5] mm。黏膜/皮肤边缘的深边缘标记距离大于黏膜/皮肤边缘(19.6 [24.8] mm 比 15.3 [14.9] mm,p = 0.034)。当被要求对重新切除的边缘进行重新定位时,外科医生标记的点距离他们的第一个标记平均为 20.6 [12.4] mm,范围为 3.9-45.1 mm。

结论

传统标记边缘的回顾性定位是一个不准确的过程,在整个护理团队中存在差异。针对边缘文档和沟通的未来干预措施可能会提高采样精度。

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