Diagnostic and Prognostic Value of Dynamic CT Time-Density Curve Parameters in Non-small Cell Lung Cancer: A Retrospective Cohort Study

نویسندگان
doi
10.5812/iranjradiol-167129
چکیده

Background: Non-small cell lung cancer (NSCLC) is a commonly encountered type of lung cancer, accounting for over 85% of lung cancer cases. Objectives: This retrospective cohort study aimed to evaluate the diagnostic differences in time-density curve (TDC) parameters between malignant and benign lung lesions and to explore the associations of these parameters with clinicopathological characteristics and survival outcomes among patients with NSCLC. Results: A total of 90 NSCLC patients (mean age 61.35 ± 6.48 years) were included, with 44 cases at tumor-node-metastasis (TNM) stage I-II and 46 at stage III-IV. Compared with benign lesions, malignant lesions exhibited a significantly delayed time-to-peak, higher peak enhancement, and greater overall enhancement. Within the NSCLC cohort, TDC parameters differed significantly across differentiation grades, TNM stages, and lymph node metastasis status (P < 0.001). The areas under the ROC curves (95% confidence interval) of PT, PV, CER, and their combination for predicting survival outcomes in NSCLC patients were 0.769 (0.657 - 0.881), 0.776 (0.664 - 0.888), 0.837 (0.750 - 0.924), and 0.919 (0.860 - 0.977), respectively. Conclusion: The MSCT-derived TDC parameters differed significantly between benign and malignant lung lesions and were correlated with pathological characteristics in NSCLC. Importantly, the prognostic associations observed in this study were restricted to the NSCLC cohort, where PT, PV, and CER showed exploratory associations with survival outcome. These findings provide preliminary, hypothesis-generating evidence supporting the potential role of TDC analysis in diagnostic assessment and risk stratification of NSCLC.