Cohort study demonstrates high reader reproducibility but moderate pathological concordance for CT staging in localized colon cancer, indicating need for refined staging strategies.
Background Accurate preoperative staging is essential for risk stratification and treatment planning in localized colon cancer (lCC), particularly in the context of emerging neoadjuvant strategies. However, the reproducibility of CT-based classification and its concordance with pathology remain incompletely defined. Patients and Methods We analyzed 175 patients with lCC who underwent baseline contrast-enhanced CT followed by curative-intent surgery. Two independent radiologists assessed clinical tumor (cT) and nodal (cN) stages, with discrepancies resolved by consensus. Interobserver agreement was evaluated using Cohen's kappa. Radiological-Pathological (R–P) concordance was assessed for T, N, and overall stage. Multivariable logistic regression analyses was performed to identify predictors of concordance. Results Interobserver agreement was good for cT classification (κ = 0.77) and excellent for cN classification (κ = 0.94), with overall concordance of 82.9%. R–P concordance was achieved in 78.3% for T staging and 73.7% for N staging, while overall concordance was 57.1%. Most discrepancies reflected adjacent misclassification (29.3%), whereas gross errors were rare (2.3%). CT showed moderate diagnostic performance for T stage (sensitivity 75.7%, specificity 81.6%) and lower sensitivity for nodal involvement (sensitivity 52.3%, specificity 87.3%). Performance varied by tumor location, with higher accuracy in left-sided tumors. Lymphovascular invasion was associated with lower interobserver agreement (OR 0.34; p=0.014), while advanced cT stage predicted reduced R–P concordance for T staging (OR 0.04; p=0.004). Conclusion CT classification demonstrates high interobserver reproducibility but only moderate concordance with pathology in lCC. Misclassification may impact clinical decision-making, underscoring the need for improved staging strategies and multidisciplinary integration.
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Trovato et al. (2026) studied this question.
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