An Algorithm for Analyzing Computed Tomography Images in Case of Suspected Strangulation in Adhesive Intestinal Obstruction
https://doi.org/10.23934/2223-9022-2025-14-3-518-525
Abstract
Introduction. Adhesive intestinal obstruction is responsible for up to 2.4% of all laparotomies. The choice of patient management strategy directly depends on whether there are indications (including CT findings) of intestinal obstruction and/or ischemia of the intestinal wall.
The Aim of Our Study. Identification of CT signs that are reliably associated with ischemic intestinal changes, and CT predictors of irreversible intestinal changes that may require surgical resection.
Material and Methods. The study used 53 retrospective CT scans of the abdomen with intravenous contrast enhancement, performed at the time of admission on patients undergoing surgery for adhesive obstruction. These scans were evaluated for the following signs: the presence of the “beak” sign in the transition zones, the thickness of the intestinal wall, a decrease in contrast of the intestinal wall, local edema of mesenteric tissue, the presence of “closed-loop” obstruction, a small-bowel faeces sign, and the “fat-notch” sign.
Results. The study found that a thickened intestinal wall, a prominent “beak” at two adjacent points, the presence of a “closed loop” obstruction, and poor contrast between the intestinal wall and a small-bowel faeces sign were all independent predictors of the need for intestinal resection. Based on the obtained results, an algorithm for visual assessment of the intestine on CT of abdominal organs in patients with adhesive intestinal obstruction was proposed.
Conclusion. Using the method of computed tomography with intravenous contrast enhancement and visual analysis of the obtained tomograms according to the proposed algorithm, it is possible to detect signs of strangulation and adhesive intestinal obstruction with sensitivity of 69%, specificity of 97%, and accuracy of 88%.
About the Authors
O. V. SementsovaRussian Federation
Olga V. Sementsova, Junior Researcher, Department of Diagnostic Radiology; Radiologist, Department of X-ray Computed Tomography,
Bolshaya Sukharevskaya Sq. 3, Moscow, 129090
L. T. Khamidova
Russian Federation
Laila T. Khamidova, Doctor of Medical Sciences, Head, Department of Diagnostic Radiology,
Bolshaya Sukharevskaya Sq. 3, Moscow, 129090
I. E. Selina
Russian Federation
Irina E. Selina, Candidate of Medical Sciences, Leading Researcher, Department of Diagnostic Radiology,
Bolshaya Sukharevskaya Sq. 3, Moscow, 129090
P. A. Yartsev
Russian Federation
Petr A. Yartsev, Full Professor, Doctor of Medical Sciences, Head, Department of Emergency Surgery, Endoscopy and Intensive Care,
Bolshaya Sukharevskaya Sq. 3, Moscow, 129090
References
1. ten Broek RP, Issa Y, van Santbrink EJ, Bouvy ND, Kruitwagen RF, Jeekel J, et al. Burden of adhesions in abdominal and pelvic surgery: systematic review and met-analysis. BMJ. 2013;347:f5588. PMID: 24092941 https://doi.org/10.1136/bmj.f5588
2. Zins M, Millet I, Taourel P. Adhesive Small Bowel Obstruction: Predictive Radiology to Improve Patient Management. Radiology. 2020;296(3):480– 492. PMID: 32692296 https://doi.org/10.1148/radiol.2020192234
3. Rossiyskoe obshchestvo khirurgov. Ostraya neopukholevaya kishechnaya neprokhodimost’: klinicheskie rekomendatsii. Moscow; 2024. (In Russ.) Available at: https://endoexpert.ru/dokumenty-i-prikazy/onkn2026/ [Accessed Apr 14, 2025]
4. Ten Broek RPG, Krielen P, Di Saverio S, Coccolini F, Biffl WL, Ansaloni L, et al. Bologna guidelines for diagnosis and management of adhesive small bowel obstruction (ASBO): 2017 update of the evidence-based guidelines from the world society of emergency surgery ASBO working group. World J Emerg Surg. 2018;13:24. PMID: 29946347 https://doi.org/10.1186/s13017-018-0185-2 eCollection 2018.
5. Expert Panel on Gastrointestinal Imaging; Chang KJ, Marin D, Kim DH, Fowler KJ, Camacho MA, Cash BD, et al. ACR Appropriateness Criteria® Suspected Small-Bowel Obstruction. J Am Coll Radiol. 2020;17(5S): S305–S314. PMID: 32370974 https://doi.org/10.1016/j.jacr.2020.01.025
6. Paulson EK, Thompson WM. Review of small-bowel obstruction: The diagnosis and when to worry. Radiology. 2015;275(2):332–342. PMID: 25906301 https://doi.org/10.1148/radiol.15131519
7. Rondenet C, Millet I, Corno L, Khaled W, Boulay-Coletta I, Taourel P, et al. CT diagnosis of closed loop bowel obstruction mechanism is not sufficient to indicate emergent surgery. Eur Radiol. 2020;30(2):1105– 1112. PMID: 31529259 https://doi.org/10.1007/s00330-019-06413-3
8. Millet I, Boutot D, Faget C, Pages-Bouic E, Molinari N, Zins M, et al. Assessment of Strangulation in Adhesive Small Bowel Obstruction on the Basis of Combined CT Findings: Implications for Clinical Care. Radiology. 2017;285(3):798–808. PMID: 28759326 https://doi.org/10.1148/radiol.2017162352
9. Murray N, Darras KE, Walstra FE, Mohammed MF, McLaughlin PD, Nicolaou S. Dual-Energy CT in Evaluation of the Acute Abdomen. Radiographics. 2019;39(1):264–286. PMID: 30620698 https://doi.org/10.1148/rg.2019180087
10. Rondenet C, Millet I, Corno L, Boulay-Coletta I, Taourel P, Zins M. Increased unenhanced bowel-wall attenuation: a specific sign of bowel necrosis in closed-loop small-bowel obstruction. Eur Radiol. 2018;28(10):4225–4233. PMID: 29679213 https://doi.org/10.1007/s00330-018-5402-6
Review
For citations:
Sementsova O.V., Khamidova L.T., Selina I.E., Yartsev P.A. An Algorithm for Analyzing Computed Tomography Images in Case of Suspected Strangulation in Adhesive Intestinal Obstruction. Russian Sklifosovsky Journal "Emergency Medical Care". 2025;14(3):518-525. (In Russ.) https://doi.org/10.23934/2223-9022-2025-14-3-518-525