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- Title
Exactitud diagnóstica de la tomografía computarizada en la estadificación del cáncer de colon.
- Authors
Cárcamo G., Leonardo; Henríquez L., Héctor; Figueroa P., Daniela; Imigo G., Felipe; San Martín B., Rodrigo; Molina P., María Elena; Urrejola S., Gonzalo
- Abstract
Introduction: Neoadjuvant therapy is an emerging treatment for selected cases of colon cancer. The decision is based on the analysis of preoperative images taken by computed tomography. However, its ability to discriminate those who could benefit from this therapy is unknown. Aim: Our objective is to determine the diagnostic accuracy of computed tomography to evaluate the colon cancer stage and its correlation among expert radiologists. Materials and Method: Diagnostic accuracy study. After sample size calculation, we randomly selected 47 patients who underwent a colonic adenocarcinoma resection with curative intent and had available images up to 60 days after surgery. The depth of tumor and lymph nodal invasion were evaluated by two expert radiologists, blinded to each other. The differences between radiologists were audited by a third one. The results were correlated with biopsy as the gold standard. We calculated sensitivity, specificity, negative predictive value, positive predictive value, and diagnostic accuracy of computed tomography. The agreement between radiologists was calculated using the kappa index. Results: The accuracy to differentiate T3-T4 tumors from T1-T2 was 89.4%. In contrast, ability to differentiate T4 tumors from T3 tumors was 65.9%. The accuracy to determine an N (+) was 66%. Agreement between radiologists was 0.929 to identify T1-2, 0.602 for T3, 0.584 for T4 tumors. To determine an N (+), the concordance was 0.521. Conclusion: Diagnostic computed tomography accuracy in colon cancer is adequate to differentiate advanced tumors. However, its ability to discriminate between T3 and T4, N (+) and the low agreement between radiologists suggests the need for complementary imaging techniques.
- Publication
Revista de Cirugia, 2022, Vol 74, Issue 1, p36
- ISSN
2452-4557
- Publication type
Article
- DOI
10.35687/s2452-45492022001162