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Article

Diagnostic Accuracy of Computed Tomography for the Prediction of the Need for Laparotomy for Traumatic Hollow Viscus Injury: Systematic Review and Meta-Analysis

by
Cheng-Chieh Hsia
1,2,†,
Chen-Yu Wang
1,3,†,
Jen-Fu Huang
1,
Chih-Po Hsu
1,
Ling-Wei Kuo
1,
Chun-Hsiung Ouyang
1,
Chien-Hung Liao
1,* and
Huan-Wu Chen
4,*
1
Department of Traumatology and Emergency Surgery, Chang Gung Memorial Hospital, Chang j-F Gung University, Taoyuan 33328, Taiwan
2
Department of Surgery, Keelung Chang Gung Memorial Hospital, Chang Gung University, Keelung 20401, Taiwan
3
Department of Surgery, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33305, Taiwan
4
Department of Medical Imaging & Intervention, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine 5 Fu-Hsing Street, Gueishan, Taoyuan 33305, Taiwan
*
Authors to whom correspondence should be addressed.
†
Both authors contributed equally.
J. Pers. Med. 2021, 11(12), 1269; https://doi.org/10.3390/jpm11121269
Submission received: 2 November 2021 / Revised: 23 November 2021 / Accepted: 24 November 2021 / Published: 1 December 2021
(This article belongs to the Special Issue Individualized Trauma Management and Care Strategy)
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Abstract

Background: Traumatic hollow viscus injury (THVI) is one of the most difficult challenges in the trauma setting. Computed tomography (CT) is the most common modality used to diagnose THVI; however, various performance outcomes of CT have been reported. We conducted a systematic review and meta-analysis to analyze how precise and reliable CT is as a tool for the assessment of THVI. Method: A systematic review and meta-analysis were conducted on studies on the use of CT to diagnose THVI. Publications were retrieved by performing structured searches in databases, review articles and major textbooks. For the statistical analysis, summary receiver operating characteristic (SROC) curves were constructed using hierarchical models. Results: Sixteen studies enrolling 12,514 patients were eligible for the final analysis. The summary sensitivity and specificity of CT for the diagnosis of THVI were 0.678 (95% CI: 0.501–0.809) and 0.969 (95% CI: 0.920–0.989), respectively. The summary false positive rate was 0.031 (95% CI 0.011–0.071). Conclusion: In this meta-analysis, we found that CT had indeterminate sensitivity and excellent specificity for the diagnosis of THVI.
Keywords: meta-analysis; systematic review; traumatic bowel injury; traumatic hollow viscus injury; computed tomography; diagnostic accuracy meta-analysis; systematic review; traumatic bowel injury; traumatic hollow viscus injury; computed tomography; diagnostic accuracy

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MDPI and ACS Style

Hsia, C.-C.; Wang, C.-Y.; Huang, J.-F.; Hsu, C.-P.; Kuo, L.-W.; Ouyang, C.-H.; Liao, C.-H.; Chen, H.-W. Diagnostic Accuracy of Computed Tomography for the Prediction of the Need for Laparotomy for Traumatic Hollow Viscus Injury: Systematic Review and Meta-Analysis. J. Pers. Med. 2021, 11, 1269. https://doi.org/10.3390/jpm11121269

AMA Style

Hsia C-C, Wang C-Y, Huang J-F, Hsu C-P, Kuo L-W, Ouyang C-H, Liao C-H, Chen H-W. Diagnostic Accuracy of Computed Tomography for the Prediction of the Need for Laparotomy for Traumatic Hollow Viscus Injury: Systematic Review and Meta-Analysis. Journal of Personalized Medicine. 2021; 11(12):1269. https://doi.org/10.3390/jpm11121269

Chicago/Turabian Style

Hsia, Cheng-Chieh, Chen-Yu Wang, Jen-Fu Huang, Chih-Po Hsu, Ling-Wei Kuo, Chun-Hsiung Ouyang, Chien-Hung Liao, and Huan-Wu Chen. 2021. "Diagnostic Accuracy of Computed Tomography for the Prediction of the Need for Laparotomy for Traumatic Hollow Viscus Injury: Systematic Review and Meta-Analysis" Journal of Personalized Medicine 11, no. 12: 1269. https://doi.org/10.3390/jpm11121269

APA Style

Hsia, C.-C., Wang, C.-Y., Huang, J.-F., Hsu, C.-P., Kuo, L.-W., Ouyang, C.-H., Liao, C.-H., & Chen, H.-W. (2021). Diagnostic Accuracy of Computed Tomography for the Prediction of the Need for Laparotomy for Traumatic Hollow Viscus Injury: Systematic Review and Meta-Analysis. Journal of Personalized Medicine, 11(12), 1269. https://doi.org/10.3390/jpm11121269

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