Westerduin Emma, Westerterp Marinke, Bemelman Willem A, Tanis Pieter J, van Geloven Anna A
a Department of Surgery , Tergooi Hospital , Hilversum , The Netherlands.
b Department of Surgery , Academic Medical Centre University of Amsterdam , Amsterdam , The Netherlands.
Acta Chir Belg. 2019 Apr;119(2):132-136. doi: 10.1080/00015458.2018.1515338. Epub 2018 Oct 17.
Low Hartmann's procedure (LHP) and intersphincteric abdominoperineal resection (iAPR) are both surgical options in the treatment of distal rectal cancer when there is no intention to restore bowel continuity. This study aimed to evaluate current practice among members of the Dutch Association of Coloproctology (WCP).
An online survey among members of the WCP who represent 66 Dutch hospitals was conducted. The survey consisted of 15 questions addressing indications for surgical procedures and complications.
Surgeons from 37 hospitals (56%) responded. Thirty-six percent does not distinguish low from high Hartmann's procedures based on estimated length of the rectal remnant. Overall, iAPR was the preferred technique in 86%. If asking whether operative approach would be different in tumours at 1 cm from the pelvic floor compared to 5 cm distance, 62% stated that they would consider a different technique. The incidence of pelvic abscess after LHP was thought to be higher, equal or lower than iAPR in 36%, 36% and 21%, respectively, with the remaining respondents not answering this question.
The vast majority of the respondents considers iAPR as the preferred non-restorative procedure for rectal cancer not invading the sphincter complex, which contradicts with population based data from 2011.
当无意恢复肠道连续性时,低位哈特曼手术(LHP)和括约肌间腹会阴联合切除术(iAPR)都是治疗低位直肠癌的手术选择。本研究旨在评估荷兰结直肠外科学会(WCP)成员的当前实践情况。
对代表66家荷兰医院的WCP成员进行了在线调查。该调查包括15个关于手术指征和并发症的问题。
来自37家医院(56%)的外科医生做出了回应。36%的人没有根据直肠残端的估计长度区分低位和高位哈特曼手术。总体而言,86%的人首选iAPR技术。如果问与距盆底5厘米处的肿瘤相比,距盆底1厘米处的肿瘤手术方式是否会不同,62%的人表示会考虑采用不同的技术。LHP术后盆腔脓肿的发生率被认为高于、等于或低于iAPR的比例分别为36%、36%和21%,其余受访者未回答这个问题。
绝大多数受访者认为iAPR是治疗未侵犯括约肌复合体的直肠癌的首选非恢复性手术,这与2011年基于人群的数据相矛盾。