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基于 CT 淋巴造影数据和亚甲蓝的乳腺癌内镜前哨淋巴结活检的三维可视化技术。

Three-dimensional visual technique based on CT lymphography data combined with methylene blue in endoscopic sentinel lymph node biopsy for breast cancer.

机构信息

Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Department of Breast Care Surgery, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, 510080, China.

出版信息

Eur J Med Res. 2022 Dec 4;27(1):274. doi: 10.1186/s40001-022-00909-3.

Abstract

BACKGROUND

The combined application of blue dye and radioisotopes is currently the primary mapping technique used for sentinel lymph node biopsy (SLNB) in breast cancer patients. However, radiocolloid techniques have not been widely adopted, especially in developing countries, given the strict restrictions on radioactive materials. Consequently, we carried out a retrospective study to evaluate the feasibility and accuracy of three-dimensional visualization technique (3DVT) based on computed tomography-lymphography (CT-LG) in endoscopic sentinel lymph node biopsy (ESLNB) for breast cancer.

METHODS

From September 2018 to June 2020, 389 patients who underwent surgical treatment of breast cancer in our department were included in this study. The CT-LG data of these patients were reconstructed into digital 3D models and imported into Smart Vision Works V1.0 to locate the sentinel lymph node (SLN) and for visual simulation surgery. ESLNB and endoscopic axillary lymph node dissection were carried out based on this new technique; the accuracy and clinical value of 3DVT in ESLNB were analyzed.

RESULTS

The reconstructed 3D models clearly displayed all the structures of breast and axilla, which favors the intraoperative detection of SLNs. The identification rate of biopsied SLNs was 100% (389/389). The accuracy, sensitivity, and false-negative rate were 93.83% (365/389), 93.43% (128/137), and 6.57% (9/137), respectively. Upper limb lymphedema occurred in one patient 3 months after surgery during the 12-month follow-up period.

CONCLUSIONS

Our 3DVT based on CT-LG data combined with methylene blue in ESLNB ensures a high identification rate of SLNs with low false-negative rates. It, therefore, has the potential to serve as a new method for SLN biopsy in breast cancer cases.

摘要

背景

目前,联合应用蓝染和放射性同位素是乳腺癌患者前哨淋巴结活检(SLNB)的主要定位技术。然而,由于放射性材料的严格限制,胶体放射性技术尚未得到广泛应用,特别是在发展中国家。因此,我们进行了一项回顾性研究,以评估基于计算机断层淋巴管成像(CT-LG)的三维可视化技术(3DVT)在乳腺癌内镜前哨淋巴结活检(ESLNB)中的可行性和准确性。

方法

2018 年 9 月至 2020 年 6 月,我们科室收治的 389 例乳腺癌手术患者纳入本研究。对这些患者的 CT-LG 数据进行重建,构建成数字 3D 模型,并导入 Smart Vision Works V1.0 定位前哨淋巴结(SLN)并进行可视化模拟手术。基于这项新技术进行 ESLNB 和内镜腋窝淋巴结清扫术,分析 3DVT 在 ESLNB 中的准确性和临床价值。

结果

重建的 3D 模型清晰显示了乳房和腋窝的所有结构,有利于术中 SLN 的检测。活检 SLN 的检出率为 100%(389/389)。准确率、灵敏度和假阴性率分别为 93.83%(365/389)、93.43%(128/137)和 6.57%(9/137)。术后 12 个月随访期间,1 例患者在术后 3 个月出现上肢淋巴水肿。

结论

我们基于 CT-LG 数据联合亚甲蓝的 ESLNB 3DVT 确保了 SLN 的高检出率和低假阴性率。因此,它有可能成为乳腺癌 SLN 活检的一种新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92d4/9719621/75dd08672139/40001_2022_909_Fig1_HTML.jpg

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