Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Department of Surgery, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
J Surg Oncol. 2020 Dec;122(7):1393-1400. doi: 10.1002/jso.26158. Epub 2020 Aug 11.
We sought to define the diagnostic yield and concordance rates between endoscopic ultrasound (EUS)-fine-needle aspiration (FNA) and surgical pathology specimen following resection of pancreatic neuroendocrine tumors (pNET) less than 2 cm.
Patients with a pNET less than 2 cm who underwent EUS-FNA were identified using a multi-institutional international database. Tumor differentiation, and Ki-67 index, as determined through EUS-FNA were examined and concordance rates between EUS-FNA and the surgical pathology were assessed.
Among 628 patients with a pNET less than 2 cm, 57.2% of patients had an EUS-FNA performed. Patients who underwent EUS had slightly smaller size tumors (1.3 vs 1.4 cm), and the pNETs were less likely to be functional (15.3% vs 26.8%) or symptomatic (48.5% vs 56.5%) (both P < .05). Among 314 patients with a pNET less than 2 cm who had an EUS-FNA performed at the time of diagnosis, 243 (73.2%) had the diagnosis confirmed by preoperative EUS-FNA. Tumor differentiation and Ki-67 could be determined by EUS-FNA in only 26.4% and 20.1% of patients, respectively. Concordance rate between EUS-FNA and pathology was high relative to tumor differentiation (92.7%) and Ki-67 (81.0%).
Tumor differentiation and Ki-67 index could be determined by EUS-FNA in only 26.4% and 20.1% of cases, respectively. Further studies should focus on EUS techniques to optimize diagnostic yield and cell extraction in the preoperative setting.
我们旨在确定内镜超声(EUS)-细针抽吸(FNA)与小于 2cm 的胰腺神经内分泌瘤(pNET)切除术后手术病理标本之间的诊断率和一致性率。
通过多机构国际数据库,确定了小于 2cm 的 pNET 患者进行 EUS-FNA。通过 EUS-FNA 确定肿瘤分化和 Ki-67 指数,并评估 EUS-FNA 与手术病理之间的一致性率。
在 628 例小于 2cm 的 pNET 患者中,57.2%的患者进行了 EUS-FNA。接受 EUS 检查的患者肿瘤体积略小(1.3cm 比 1.4cm),且 pNET 功能性(15.3%比 26.8%)或有症状(48.5%比 56.5%)的可能性较小(均 P < 0.05)。在 314 例诊断时行 EUS-FNA 的小于 2cm 的 pNET 患者中,243 例(73.2%)通过术前 EUS-FNA 确诊。仅分别有 26.4%和 20.1%的患者可通过 EUS-FNA 确定肿瘤分化和 Ki-67。EUS-FNA 与病理之间的一致性率与肿瘤分化(92.7%)和 Ki-67(81.0%)均较高。
EUS-FNA 仅能分别确定 26.4%和 20.1%的病例的肿瘤分化和 Ki-67 指数。进一步的研究应侧重于 EUS 技术,以优化术前的诊断率和细胞提取。