DIFFERENTIATION OF BENIGN AND MALIGNANT VALUES OF SOLID PULMONARY MASSES OR NODULES BY DUAL-SOURCE CT AND ANALYSIS OF ACCURACY

Abstract

Objective: To explore the clinical value of dual-source CT dual-energy imaging technology in distinguishing benign and malignant pulmonary solid masses or nodules and to analyze its diagnostic accuracy by applying it. Methods: Solid pulmonary masses or nodules diagnosed by puncture biopsy or surgical pathology from December 1, 2020 to June 30, 2022 were retrospectively collected and divided into 42 cases in the malignant group and 21 cases in the benign group, including 31 cases in the squamous carcinoma group and 11 cases in the adenocarcinoma group in the malignant group; the image quality of conventional plain scan (TNC) and virtual plain scan (VNC) of solid pulmonary masses or nodules were compared and The CT enhancement net value, standardized CT value at different keV, standardized iodine concentration, and slope of energy spectrum curve were compared; analysis of the accuracy of dual-source CT in diagnosing the benignity and malignancy of solid pulmonary masses or nodules using surgical pathology results as the gold standard. Results: The net value-added of CT enhancement, standardized iodine concentration, and slope of energy spectrum were (34.22±9.51) Hu and (14.37±5.81) Hu, (0.25±0.10) mg/mL and (0.32±0.17) mg/mL, (0.64±0.19) and (0.97±0.55) in the malignant and benign groups, the differences were statistically significant (P<0.05); comparing the image quality of TNC and VNC in malignant and benign groups, and the standardized CT values at different keV, the differences were not statistically significant (P>0.05); the differences were not statistically significant (P>0.05) when comparing the squamous cancer group and the adenocarcinoma group; When comparing the dual-source CT results with the surgical pathology results, the detection rates were 63.94% and 66.67% for the malignant group and 36.06% and 33.33% for the benign group, respectively, with no statistically significant difference (P>0.05);the diagnostic accuracy of dual-source CT was 84.13%, sensitivity was 95.23%, specificity was 61.90%, positive predictive value was 83.33%, and negative predictive value was 86.67%. Conclusion: Dual-source CT dual-energy imaging has high clinical application value in the net value-added of CT enhancement, standardized iodine concentration, and slope of energy spectrum curve in identifying the benignity and malignancy of solid pulmonary masses or nodules and improving the diagnostic accuracy.