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Effect of pelvic anatomical differences in 173 patients with low rectal cancer on the duration of laparoscopic intersphincteric resection

Published on Sep. 18, 2023Total Views: 1287 timesTotal Downloads: 1215 timesDownloadMobile

Author: TIAN Shunhua HU Heng CHEN Baoxiang HU Hang JIANG Congqing

Affiliation: Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China

Keywords: Low rectal cancer Intersphincteric resection Pelvic measurements Operative time

DOI: 10.12173/j.issn.1004-5511.202302037

Reference: Tian SH, Hu H, Chen BX, Hu H, Jiang CQ. Effect of pelvic anatomical differences in 173 patients with low rectal cancer on the duration of laparoscopic intersphincteric resection[J]. Yixue Xinzhi Zazhi, 2024, 34(1): 25-32. DOI: 10.12173/j.issn.1004-5511.202302037.[Article in Chinese]

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Abstract

Objective  To exploring pelvic anatomical differences in patients with low rectal cancer and the effect on the duration of laparoscopic intersphincteric resection(ISR).

Methods  Clinical data from patients with low rectal cancer who underwent laparoscopic ISR from January 2017 to December 2022 in Zhongnan Hospital of Wuhan University were retrospectively collected. The 17 pelvic parameters such as pelvic inlet, pelvic outlet and pelvic depth etc. were measured from axial, sagittal and coronal positions based on CT/MRI. A comparative analysis of male and female pelvic anatomy was also performed to explore the factors affecting the duration of surgery through multiple linear regression.

Results  A total of 173 patients with low rectal cancer were included, of whom 107(61.8%) were male and 66(38.2%) were female, with a mean patient age of (58.06±9.91) years, BMI (22.65±3.15) kg/m2, operative time of (271.53±53.74) min. In the comparison of pelvic anatomical differences, the differences in 15 pelvic parameters such as pelvic inlet, pelvic outlet and pelvic depth were statistically significant between patients of different genders. Multiple linear regression analysis showed that the smaller intertuberous distance [95%CI(-25.554, -3.671), P=0.009] was an independent risk factor for longer operative time in male patients. The shallower sacral depth [95%CI(-166.166,-33.894), P=0.004] and larger angle α [95%CI(0.051, 5.499), P=0.046] were independent risk factors for prolonged operative time in female patients. Shallower sacral depth [95%CI(-95.657, -18.082), P=0.004], larger angle β [95%CI(0.258, 7.048), P=0.035], smaller angle δ [95%CI(-6.034, -0.627, P=0.016], smaller interberous distance [95%CI(-18.589, -2.511), P=0.010] and larger mesorectal fat area (P=0.043) were independent risk factors for prolonged operative time in patients with low rectal cancer.

Conclusion  The pelvic anatomy of patients with low rectal cancer differs significantly between genders, and anatomical factors affecting the duration of laparoscopic ISR vary among patients of different genders. Sacral depth, angle β, angle δ, intertuberous distance and mesorectal fat area are independent factors affecting operative time. Attention to these pelvic anatomical differences is important to guide clinical decision-making and improve surgical safety.

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References

1.Morgan MA, Thurnau GR. Efficacy of the fetal-pelvic index in nulliparous women at high risk for fetal-pelvic disproportion[J]. Am J Obstet Gynecol, 1992, 166(3): 810-814. DOI: 10.1016/0002-9378(92)91338-b.

2.Yuan Y, Tong D, Liu M, et al. An MRI-based pelvimetry nomogram for predicting surgical difficulty of transabdominal resection in patients with middle and low rectal cancer[J]. Front Oncol, 2022, 12: 882300. DOI: 10.3389/fonc.2022.882300.

3.Sun Y, Chen J, Ye C, et al. Pelvimetric and nutritional factors predicting surgical difficulty in laparoscopic resection for rectal cancer following preoperative chemoradiotherapy[J]. World J Surg, 2021, 45(7): 2261-2269. DOI: 10.1007/s00268-021-06080-w.

4.Atasoy G, Arslan NC, Elibol FD, et al. Magnetic resonance-based pelvimetry and tumor volumetry can predict surgical difficulty and oncologic outcome in locally advanced mid-low rectal cancer[J]. Surg Today, 2018, 48(12): 1040-1051. DOI: 10.1007/s00595-018-1690-3.

5.Escal L, Nougaret S, Guiu B, et al. MRI-based score to predict surgical difficulty in patients with rectal cancer[J]. Br J Surg, 2018, 105(1): 140-146. DOI: 10.1002/bjs.10642.

6.Schiessel R, Karner-Hanusch J, Herbst F, et al. Intersphincteric resection for low rectal tumours[J]. Br J Surg, 1994, 81(9): 1376-1378. DOI: 10.1002/bjs.1800810944.

7.Iqbal A, Khan A, George TJ, et al. Objective preoperative parameters predict difficult pelvic dissections and clinical outcomes[J]. J Surg Res, 2018, 232: 15-25. DOI: 10.1016/j.jss.2018.05.042.

8.Veenhof AA, Engel AF, van der Peet DL, et al. Technical difficulty grade score for the laparoscopic approach of rectal cancer: a single institution pilot study[J]. Int J Colorectal Dis, 2008, 23(5): 469-475. DOI: 10.1007/s00384-007-0433-5.

9.Vučinić N, Paulsen F, Milinkov M, et al. A survey of pelvic types on computed tomography images[J]. Ann Anat, 2022, 243: 151942. DOI: 10.1016/j.aanat.2022.151942.

10.Lewis CL, Laudicina NM, Khuu A, et al. The human pelvis: variation in structure and function during gait[J]. Anat Rec (Hoboken), 2017, 300(4): 633-642. DOI: 10.1002/ar.23552.

11.Tague RG. Variation in pelvic size between males and females in nonhuman anthropoids[J]. Am J Phys Anthropol, 1995, 97(3): 213-233. DOI: 10.1002/ajpa.1330970302.

12.Lorenzon L, Bini F, Landolfi F, et al. 3D pelvimetry and biometric measurements: a surgical perspective for colorectal resections[J]. Int J Colorectal Dis, 2021, 36(5): 977-986. DOI: 10.1007/s00384-020-03802-9.

13.Yamamoto T, Kawada K, Kiyasu Y, et al. Prediction of surgical difficulty in minimally invasive surgery for rectal cancer by use of MRI pelvimetry[J]. BJS Open, 2020, 4(4): 666-677. DOI: 10.1002/bjs5.50292.

14.Kim JY, Kim YW, Kim NK, et al. Pelvic anatomy as a factor in laparoscopic rectal surgery: a prospective study[J]. Surg Laparosc Endosc Percutan Tech, 2011, 21(5): 334-339. DOI: 10.1097/SLE.0b013e31822b0dcb.

15.Killeen T, Banerjee S, Vijay V, et al. Magnetic resonance (MR) pelvimetry as a predictor of difficulty in laparoscopic operations for rectal cancer[J]. Surg Endosc, 2010, 24(12): 2974-2979. DOI: 10.1007/s00464-010-1075-1.

16.Zhou XC, Su M, Hu KQ, et al. CT pelvimetry and clinicopathological parameters in evaluation of the technical difficulties in performing open rectal surgery for mid-low rectal cancer[J]. Oncol Lett, 2016, 11(1): 31-38.DOI: 10.3892/ol.2015.3827.

17.Yamaoka Y, Yamaguchi T, Kinugasa Y, et al. Mesorectal fat area as a useful predictor of the difficulty of robotic-assisted laparoscopic total mesorectal excision for rectal cancer[J]. Surg Endosc, 2019, 33(2): 557-566. DOI: 10.1007/s00464-018-6331-9.

18.Curtis NJ, Thomas C, Dennison G, et al. Factors predicting operative difficulty of laparoscopic total mesorectal excision[J]. Dis Colon Rectum, 2019, 62(12): 1467-1476. DOI: 10.1097/DCR.0000000000001490.

19.Zhou X, Su M, Hu K, et al. Applications of computed tomography pelvimetry and clinical-pathological  parameters in sphincter preservation of mid-low rectal cancer[J]. Int J Clin Exp Med, 2015, 8(2): 2174-2181. https://pubmed.ncbi.nlm.nih.gov/25932148/.

20.Krauel L, Fenollosa F, Riaza L, et al. Use of 3D prototypes for complex surgical oncologic cases[J]. World J Surg, 2016, 40(4): 889-894. DOI: 10.1007/s00268-015-3295-y.

21.Bernhard JC, Isotani S, Matsugasumi T, et al. Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education[J]. World J Urol, 2016, 34(3): 337-345. DOI: 10.1007/s00345-015-1632-2.

22.Igami T, Nakamura Y, Hirose T, et al. Application of a three-dimensional print of a liver in hepatectomy for small  tumors invisible by intraoperative ultrasonography: preliminary experience[J]. World J Surg, 2014, 38(12): 3163-3166. DOI: 10.1007/s00268-014-2740-7.

23.Hojo D, Murono K, Nozawa H, et al. Utility of a three-dimensional printed pelvic model for lateral pelvic lymph node dissection education: a randomized controlled trial[J]. J Am Coll Surg, 2019, 229(6): 552-559.e3. DOI: 10.1016/j.jamcollsurg.2019.08.1443.

24.Hojo D, Murono K, Nozawa H, et al. Improvement in surgical outcomes using 3-dimensional printed models for lateral pelvic lymph node dissection in rectal cancer[J]. Dis Colon Rectum, 2022, 65(4): 566-573. DOI: 10.1097/DCR.0000000000002327.

25.Melstrom K. Robotic rectal cancer surgery[J]. Cancer Treat Res, 2016, 168: 295-308. DOI: 10.1007/978-3-319-34244-3_14.

26.Baek SJ, Kim CH, Cho MS, et al. Robotic surgery for rectal cancer can overcome difficulties associated with pelvic anatomy[J]. Surg Endosc, 2015, 29(6): 1419-1424. DOI: 10.1007/s00464-014-3818-x.

27.王娜,刘洁,李晓东等.中国1990~2019年结直肠癌疾病负担分析[J].中国循证医学杂志, 2021, 21(5): 520-524.  DOI: 10.7507/1672-2531.202012006. [Wang N, Liu J, Li XD, et al. An analysis of disease burden of colorectal cancer in China from 1990 to 2019[J]. Chinese Journal of Evidence-Based Medicine, 2021, 21(5): 520-524.