内镜超声预测局部胃癌腹内转移风险:一项验证研究。

IF 1.4 Q4 GASTROENTEROLOGY & HEPATOLOGY
Fares Ayoub, Christopher G Chapman, Heather Chen, Namrata Setia, Kevin Roggin, Uzma D Siddiqui
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引用次数: 0

摘要

背景:在没有远处转移影像学证据的胃癌(GC)患者中,建议采用腹腔镜诊断分期(DSL)来检测影像学上隐匿性腹膜转移(M1)。DSL有发病风险,其成本效益尚不清楚。使用内镜超声(EUS)来改善DSL患者的选择已被提出,但尚未得到验证。我们的目的是验证以欧洲为基础的预测M1疾病风险的风险分类系统。方法:我们回顾性研究了2010年至2020年间所有没有正电子发射断层扫描(PET)/计算机断层扫描(CT)远处转移证据的分期EUS和DSL的GC患者。T1-2,无EUS“低危”病例;T3-4和/或N+疾病为“高危”。结果:共有68例患者符合纳入标准。DSL在17例(25%)患者中发现了影像学上隐匿的M1疾病。大多数患者为EUS T3肿瘤(n = 59, 87%), 48例(71%)患者为淋巴结阳性(n +)。5例(7%)患者被归为EUS“低危”,63例(93%)患者被归为“高危”。在63例“高危”患者中,17例(27%)患有M1疾病。“低风险”EUS在腹腔镜下预测M0疾病的能力为100%,5例患者(7%)可以避免DSL。该分层算法的灵敏度为100%(95%置信区间(CI): 80.5-100%),特异性为9.8% (95% CI: 3.3-21.4%)。结论:在没有影像学转移证据的胃癌患者中使用基于eus的风险分类系统有助于识别低风险的腹腔镜M1疾病患者亚群,这些患者可以避免DSL并直接进行新辅助化疗或以治愈为目的的切除术。需要更大规模的前瞻性研究来验证这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Endoscopic Ultrasound Predicts Risk of Occult Intra-Abdominal Metastases in Localized Gastric Cancer: A Validation Study.

Endoscopic Ultrasound Predicts Risk of Occult Intra-Abdominal Metastases in Localized Gastric Cancer: A Validation Study.

Endoscopic Ultrasound Predicts Risk of Occult Intra-Abdominal Metastases in Localized Gastric Cancer: A Validation Study.

Background: In gastric cancer (GC) patients without imaging evidence of distant metastasis, diagnostic staging laparoscopy (DSL) is recommended to detect radiographically occult peritoneal metastasis (M1). DSL carries a risk for morbidity and its cost-effectiveness is unclear. Use of endoscopic ultrasound (EUS) to improve patient selection for DSL has been proposed but not validated. We aimed to validate an EUS-based risk classification system predicting risk for M1 disease.

Methods: We retrospectively identified all GC patients without positron emission tomography (PET)/computed tomography (CT) evidence of distant metastasis who underwent staging EUS followed by DSL between 2010 and 2020. T1-2, N0 disease was EUS "low-risk"; T3-4 and/or N+ disease was "high-risk".

Results: A total of 68 patients met inclusion criteria. DSL identified radiographically occult M1 disease in 17 patients (25%). Most patients had EUS T3 tumors (n = 59, 87%) and 48 (71%) patients were node-positive (N+). Five (7%) patients were classified EUS "low-risk" and 63 (93%) were classified "high-risk". Of 63 "high-risk" patients, 17 (27%) had M1 disease. The ability of "low-risk" EUS to predict M0 disease at laparoscopy was 100% and DSL would have been avoided in five patients (7%). This stratification algorithm showed a sensitivity of 100% (95% confidence interval (CI): 80.5-100%) and a specificity of 9.8% (95% CI: 3.3-21.4%).

Conclusions: Use of an EUS-based risk classification system in GC patients without imaging evidence of metastasis helps identify a subset of patients at low-risk for laparoscopic M1 disease who may avoid DSL and proceed directly to neoadjuvant chemotherapy or resection with curative intent. Larger, prospective studies are needed to validate these findings.

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Gastroenterology Research
Gastroenterology Research GASTROENTEROLOGY & HEPATOLOGY-
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