Autofluorescent Imaging in Patients With Peritoneal Carcinomatosis

Author:

von Breitenbuch Philipp1,Jeiter Tonia2,Schreml Stephan2,Glockzin Gabriel2,Agha Ayman2,Piso Pompiliu3,Schlitt Hans J.2

Affiliation:

1. Elblandklinikum Riesa, Riesa, Germany

2. University Medical Center Regensburg, Regensburg, Germany

3. Krankenhaus der barmherzigen Brüder, Regensburg, Germany

Abstract

Background and objectives. Autofluorescence imaging (AFI) is mainly used to detect (pre)cancerous colorectal and pulmonal lesions. This is the first report establishing the feasibility of AFI in patients with peritoneal carcinomatosis (PC). Methods. This is a prospective analysis of 10 patients undergoing conventional white-light laparoscopy (WL) and AFI for PC of different gastrointestinal tumors and 1 ovarian cancer. Before taking biopsies, suspicious peritoneal lesions were first detected by WL and then investigated by AFI. The intraoperative findings were photographed and then correlated with histological results. Results. Conventional WL and AFI evaluation was successful in all patients. A total of 38 biopsies were taken. The neoplasm detection rate under WL was 66% and increased to 86% when using AFI. The positive tumor detection rate was slightly higher in low AF lesions (83 vs 88%) and higher in tumor nodules (94%) than in flat peritoneal lesions (75%). For tumor nodules, the sensitivity was 94%, and the specificity was 100%. For flat lesions, the sensitivity was 75% and specificity 50%. Conclusions. We demonstrate the feasibility and effectiveness of AFI in patients with PC.

Publisher

SAGE Publications

Subject

Surgery

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3