Discrepancy Between Preoperative CT and Pathological Tumor Diameters in Stage I Lung Adenocarcinoma and Its Association with Postoperative Recurrence.
[RATIONALE AND OBJECTIVES] To assess the concordance between preoperative CT-measured and postoperative pathological tumor diameters in stage I lung adenocarcinoma, and to examine whether their discre
- p-value P < .001
APA
Lu M, Ding M, et al. (2026). Discrepancy Between Preoperative CT and Pathological Tumor Diameters in Stage I Lung Adenocarcinoma and Its Association with Postoperative Recurrence.. Academic radiology. https://doi.org/10.1016/j.acra.2026.03.007
MLA
Lu M, et al.. "Discrepancy Between Preoperative CT and Pathological Tumor Diameters in Stage I Lung Adenocarcinoma and Its Association with Postoperative Recurrence.." Academic radiology, 2026.
PMID
41896056
Abstract
[RATIONALE AND OBJECTIVES] To assess the concordance between preoperative CT-measured and postoperative pathological tumor diameters in stage I lung adenocarcinoma, and to examine whether their discrepancy is associated with postoperative recurrence.
[MATERIALS AND METHODS] We retrospectively analyzed patients with stage I lung adenocarcinoma who underwent curative resection from 2019-2021. CT tumor diameter was obtained using AI-assisted 3D segmentation and reviewed by experienced thoracic radiologists. Pathological size was measured on the maximal tumor section of formalin-fixed specimens. Correlation was assessed using Pearson's r, and agreement examined with Bland-Altman analysis. Patients were grouped by CT-pathology discrepancy (<-3 mm, -3 to 3 mm, >3 mm). Recurrence-free survival (RFS) was compared using Kaplan-Meier analysis, and independent predictors of recurrence were identified via multivariable Cox proportional hazards regression. An integrated prognostic model incorporating significant variables was internally validated.
[RESULTS] A total of 239 patients were included in the study and of those, 48 recurred. CT and pathological tumor diameters were moderately to highly correlated (r = 0.876, P < .001), with a mean positive bias of 2.9 mm. RFS differed significantly across groups (P < .001). Multivariable Cox analysis identified imaging overestimation (CT-pathology discrepancy >3 mm), higher pathological T stage, older age and male as independent predictors of recurrence. The integrated model showed acceptable discrimination (optimism-corrected C-index 0.818) and calibration, enabling risk stratification.
[CONCLUSION] CT measurements tend to overestimate tumor size, and excessive overestimation (difference >3 mm) was independently associated with higher postoperative recurrence risk. Incorporating CT-pathology discrepancies into prognostic models may improve postoperative risk stratification.
[MATERIALS AND METHODS] We retrospectively analyzed patients with stage I lung adenocarcinoma who underwent curative resection from 2019-2021. CT tumor diameter was obtained using AI-assisted 3D segmentation and reviewed by experienced thoracic radiologists. Pathological size was measured on the maximal tumor section of formalin-fixed specimens. Correlation was assessed using Pearson's r, and agreement examined with Bland-Altman analysis. Patients were grouped by CT-pathology discrepancy (<-3 mm, -3 to 3 mm, >3 mm). Recurrence-free survival (RFS) was compared using Kaplan-Meier analysis, and independent predictors of recurrence were identified via multivariable Cox proportional hazards regression. An integrated prognostic model incorporating significant variables was internally validated.
[RESULTS] A total of 239 patients were included in the study and of those, 48 recurred. CT and pathological tumor diameters were moderately to highly correlated (r = 0.876, P < .001), with a mean positive bias of 2.9 mm. RFS differed significantly across groups (P < .001). Multivariable Cox analysis identified imaging overestimation (CT-pathology discrepancy >3 mm), higher pathological T stage, older age and male as independent predictors of recurrence. The integrated model showed acceptable discrimination (optimism-corrected C-index 0.818) and calibration, enabling risk stratification.
[CONCLUSION] CT measurements tend to overestimate tumor size, and excessive overestimation (difference >3 mm) was independently associated with higher postoperative recurrence risk. Incorporating CT-pathology discrepancies into prognostic models may improve postoperative risk stratification.
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