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Preoperative prediction of transanal specimen extraction feasibility in colorectal cancer: development and internal validation of a prediction model

https://doi.org/10.17238/2072-3180-2026-66-73

Abstract

Introduction. Although Natural Orifice Specimen Extraction Surgery (NOSES) is increasingly used in colorectal surgery, objective criteria for preoperative selection for transanal specimen extraction remain lacking. This study aimed to develop and internally validate a preoperative model of technical feasibility based on experimental specimen testing.
Materials and methods. We performed a retrospective analysis of prospectively collected data from a consecutive single-center cohort of 105 patients with colorectal cancer. Each resected specimen was sequentially tested ex vivo for passage through elastic rings with internal diameters of 3, 4, and 5 cm. Successful passage through the 4-cm ring was the primary endpoint. A logistic regression model was developed using preoperative characteristics. Internal validation included 1000 bootstrap resamples and 10-fold cross-validation; discrimination, calibration, and clinical utility by decision curve analysis were assessed.
Results. Passage rates were 18/105 (17.1%), 58/105 (55,2 %), and 86/105 (81,9 %) for the 3-, 4-, and 5-cm rings, respectively. Passage through the 4-cm ring was associated with actual NOSES performance: 35/37 (94,6 %) versus 23/68 (33,8 %) after conventional laparoscopy (χ²=33.4; p<0.001). The model included transverse tumor size, body mass index, and tumor location. The apparent AUC was 0,846, the optimism-corrected AUC was 0,829, and the 10-fold cross-validated AUC was 0,827. Decision curve analysis demonstrated potential clinical utility across threshold probabilities of approximately 0,20–0,80.
Conclusion. The standardized ex vivo model provided a reproducible endpoint for preoperative prediction of transanal specimen extraction feasibility. After external validation, the model may support individualized planning of NOSES procedures.

About the Authors

S. K. Efetov
University Clinical Hospital no 4 of the I.M. Sechenov First Moscow State Medical University; Department of Faculty Surgery no 2, I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Efetov Sergey Konstantinovich – MD, DSc (Med), Professor, Head of the Surgical Department no 2

119048, 15 Dovatora str., bldg. 2, Moscow, Russia



D. I. Khlusov
University Clinical Hospital no 4, I.M. Sechenov First Moscow State Medical University (Sechenov University); Department of Faculty Surgery no 2, I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Khlusov Denis Igorevich – assistant at the Department of Faculty Surgery no 2 Clinical Hospital no 4 

119048, 15 Dovatora str., bldg. 2, Moscow, Russia



Yu. Cao
Xinqiao Hospital of Army Medical University
China

Cao Yu – Department of General Surgery

Chongqing



P. D. Panova
Clinical Hospital no 4 of the I.M. Sechenov First Moscow State Medical University
Russian Federation

Panova Polina Dmitrievna – postgraduate student at the Department of Faculty Surgery no 2

119048, 15 Dovatora str., bldg. 2, Moscow, Russia



M. A. Mikhalyutina
I.M. Sechenov First Moscow State Medical University
Russian Federation

Mikhalyutina Marina Alekseevna – student at the Department of Faculty Surgery № 2 Clinical Hospital no 4

119048, 15 Dovatora str., bldg. 2, Moscow, Russia



N. Rouzy
I.M. Sechenov First Moscow State Medical University
Russian Federation

Niloofar Rouzy – student at the Department of Faculty Surgery no 2 Clinical Hospital no 4

119048, 15 Dovatora str., bldg. 2, Moscow, Russia



References

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Review

For citations:


Efetov S.K., Khlusov D.I., Cao Yu., Panova P.D., Mikhalyutina M.A., Rouzy N. Preoperative prediction of transanal specimen extraction feasibility in colorectal cancer: development and internal validation of a prediction model. Moscow Surgical Journal. 2026;(5):66-73. (In Russ.) https://doi.org/10.17238/2072-3180-2026-66-73

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ISSN 2072-3180 (Print)