1. Three-dimensional iodine mapping quantified by dual-energy CT for predicting programmed death-ligand 1 expression in invasive pulmonary adenocarcinoma.
- Author
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Yamagata K, Yanagawa M, Hata A, Ogawa R, Kikuchi N, Doi S, Ninomiya K, Tokuda Y, and Tomiyama N
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Imaging, Three-Dimensional methods, Adenocarcinoma of Lung diagnostic imaging, Adenocarcinoma of Lung metabolism, Adenocarcinoma of Lung pathology, Aged, 80 and over, ROC Curve, B7-H1 Antigen metabolism, Tomography, X-Ray Computed methods, Lung Neoplasms metabolism, Lung Neoplasms diagnostic imaging, Lung Neoplasms pathology, Iodine metabolism
- Abstract
We examined the association between texture features using three-dimensional (3D) io-dine density histogram on delayed phase of dual-energy CT (DECT) and expression of programmed death-ligand 1 (PD-L1) using immunostaining methods in non-small cell lung cancer. Consecutive 37 patients were scanned by DECT. Unenhanced and enhanced (3 min delay) images were obtained. 3D texture analysis was performed for each nodule to obtain 7 features (max, min, median, mean, standard deviation, skewness, and kurtosis) from iodine density mapping and extracellular volume (ECV). A pathologist evaluated a tumor proportion score (TPS, %) using PD-L1 immunostaining: PD-L1 high (TPS ≥ 50%) and low or negative expression (TPS < 50%). Associations between PD-L1 expression and each 8 parameter were evaluated using logistic regression analysis. The multivariate logistic regression analysis revealed that skewness and ECV were independent indicators associated with high PD-L1 expression (skewness: odds ratio [OR] 7.1 [95% CI 1.1, 45.6], p = 0.039; ECV: OR 6.6 [95% CI 1.1, 38.4], p = 0.037). In the receiver-operating characteristic analysis, the area under the curve of the combination of skewness and ECV was 0.83 (95% CI 0.67, 0.93) with sensitivity of 64% and specificity of 96%. Skewness from 3D iodine density histogram and ECV on dual energy CT were significant factors for predicting PD-L1 expression., (© 2024. The Author(s).)
- Published
- 2024
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