Diagnostic Accuracy of Abdominal CT for Locally Advanced Colon Tumors: Can We Really Entrust Certain Decisions to the Reliability of CT?
Yaiza García Del Álamo HernándezOscar Cano-ValderramaCarlos Cerdán SantacruzFernando PereiraInés Aldrey CaoSandra Núñez FernándezEduardo Álvarez SarradoRosángela Obregón ReinaPaula Dujovne LindenbaumMaría Taboada AmeneiroDavid Ambrona ZafraSilvia Pérez FarréMarta PascualRicardo Frago MontanuyBlas Flor LorenteSebastiano Biondonull Collaborative Group For The Study Of Metachronous Peritoneal Metastases Of pT Colon CancerPublished in: Journal of clinical medicine (2023)
Many different options of neoadjuvant treatments for advanced colon cancer are emerging. An accurate preoperative staging is crucial to select the most appropriate treatment option. A retrospective study was carried out on a national series of operated patients with T4 tumors. Considering the anatomo-pathological analysis of the surgical specimen as the gold standard, a diagnostic accuracy study was carried out on the variables T and N staging and the presence of peritoneal metastases (M1c). The parameters calculated were sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios, as well as the overall accuracy. A total of 50 centers participated in the study in which 1950 patients were analyzed. The sensitivity of CT for correct staging of T4 colon tumors was 57%. Regarding N staging, the overall accuracy was 63%, with a sensitivity of 64% and a specificity of 62%; however, the positive and negative likelihood ratios were 1.7 and 0.58, respectively. For the diagnosis of peritoneal metastases, the accuracy was 94.8%, with a sensitivity of 40% and specificity of 98%; in the case of peritoneal metastases, the positive and negative likelihood ratios were 24.4 and 0.61, respectively. The diagnostic accuracy of CT in the setting of advanced colon cancer still has some shortcomings for accurate diagnosis of stage T4, correct classification of lymph nodes, and preoperative detection of peritoneal metastases.
Keyphrases
- lymph node
- image quality
- computed tomography
- dual energy
- contrast enhanced
- pet ct
- end stage renal disease
- patients undergoing
- positron emission tomography
- neoadjuvant chemotherapy
- sentinel lymph node
- ejection fraction
- newly diagnosed
- magnetic resonance imaging
- chronic kidney disease
- high resolution
- machine learning
- prognostic factors
- magnetic resonance
- quality improvement
- peritoneal dialysis
- early stage
- structural basis
- patient reported