Suppr超能文献

术前计算机断层淋巴造影在乳腺癌患者精准前哨淋巴结活检中的应用。

Application of preoperative computed tomographic lymphography for precise sentinel lymph node biopsy in breast cancer patients.

机构信息

Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.

Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.

出版信息

BMC Surg. 2021 Apr 9;21(1):187. doi: 10.1186/s12893-021-01190-7.

Abstract

BACKGROUND

In light of the extensive application of sentinel lymph node biopsy (SLNB) in clinically node-negative breast cancer patients and the recently investigated failure of SLNB after lumpectomy, it has become important to explore methods for preoperative mapping of sentinel lymph nodes (SLNs) and their lymphatics to direct precise SLNB and improve the identification rate of SLNs.

METHODS

Twenty-seven patients with suspected breast cancer based on the results of the clinical examination and imaging were enrolled in the study. Computed tomographic lymphography (CTLG) followed by CT three-dimensional reconstruction was performed to determine the localization of SLNs and lymphatics on the body surface preoperatively. Intraoperatively combined staining with methylene blue and indocyanine green was used to evaluate the accuracy and feasibility of CTLG.

RESULTS

SLNs and lymphatics from the breast were identified using CTLG in all patients, and preoperative SLNs and lymphatics localization on the body surface showed a significant role in the selection of operative incision and injection points. The accuracy rate of SLN and lymphatic detection by CTLG was 92.6% compared with intraoperatively combined staining. Moreover, preoperative CTLG performed well in SLN number detection, and the accuracy rate was 95.2%.

CONCLUSION

We evaluate the procedure and application of preoperative CTLG in the superficial localization of SLNs and lymphatics, which may lead to a decreased incidence of cutting off the lymphatics of SLNs and consequently more rapid and accurate SLN detection. This method promotes personalized SLN mapping, providing detailed information about the number and anatomical location of SLNs and lymphatics for adequate surgical planning for breast cancer patients.

摘要

背景

鉴于前哨淋巴结活检(SLNB)在临床淋巴结阴性乳腺癌患者中的广泛应用,以及最近研究发现保乳术后 SLNB 失败,探索前哨淋巴结(SLN)及其淋巴管的术前定位方法,以指导精准 SLNB 并提高 SLN 检出率变得尤为重要。

方法

本研究纳入了 27 例基于临床检查和影像学结果怀疑患有乳腺癌的患者。行计算机断层淋巴成像(CTLG),然后进行 CT 三维重建,以确定 SLN 和淋巴管在术前体表的定位。术中联合使用亚甲蓝和吲哚菁绿染色,评估 CTLG 的准确性和可行性。

结果

所有患者均通过 CTLG 识别出乳腺 SLN 和淋巴管,术前体表 SLN 和淋巴管定位对手术切口和注射点的选择具有重要意义。与术中联合染色相比,CTLG 检测 SLN 和淋巴管的准确率为 92.6%。此外,术前 CTLG 在 SLN 数量检测方面表现良好,准确率为 95.2%。

结论

我们评估了术前 CTLG 在 SLN 和淋巴管浅层定位中的操作和应用,这可能会降低切断 SLN 淋巴管的发生率,从而更快、更准确地检出 SLN。该方法促进了个性化 SLN 映射,为乳腺癌患者提供了详细的 SLN 和淋巴管数量和解剖位置信息,有助于充分的手术规划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f773/8033684/81c1d3fe826c/12893_2021_1190_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验