Whole-lesion iodine map histogram analysis versus single-slice spectral CT parameters for determining novel International Association for the Study of Lung Cancer grade of invasive non-mucinous pulmonary adenocarcinomas

被引:1
|
作者
Deng, Liangna [1 ,2 ,3 ,4 ]
Yang, Jingjing [1 ,2 ,3 ,4 ]
Zhang, Mingtao [3 ,5 ]
Zhu, Kaibo [1 ,2 ,3 ,4 ]
Jing, Mengyuan [1 ,2 ,3 ,4 ]
Zhang, Yuting [1 ,2 ,3 ,4 ]
Zhang, Bin [1 ,2 ,3 ,4 ]
Han, Tao [1 ,2 ,3 ,4 ]
Zhou, Junlin [1 ,2 ,3 ,4 ]
机构
[1] Lanzhou Univ, Dept Radiol, Hosp 2, Lanzhou 730000, Peoples R China
[2] Lanzhou Univ, Key Lab Med Imaging Gansu Prov, Hosp 2, Lanzhou 730000, Peoples R China
[3] Lanzhou Univ, Clin Med Sch 2, Lanzhou 730000, Peoples R China
[4] Gansu Int Sci & Technol Cooperat Base Med Imaging, Lanzhou 730000, Peoples R China
[5] Lanzhou Univ, Dept Gastroenterol, Hosp 2, Lanzhou 730000, Peoples R China
关键词
Biomarkers; iodine map; Lung adenocarcinoma; Spectral CT; Tumor grading; DIFFUSION-COEFFICIENT MAPS; DUAL-ENERGY CT; SYSTEM; CLASSIFICATION; VALIDATION; PATTERN; NODULES; IMPACT;
D O I
10.1016/j.diii.2023.12.001
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: The purpose of this study was to evaluate and compare the performances of whole-lesion iodine map histogram analysis to those of single-slice spectral computed tomography (CT) parameters in discriminating between low-to-moderate grade invasive non-mucinous pulmonary adenocarcinoma (INMA) and high-grade INMA according to the novel International Association for the Study of Lung Cancer grading system of INMA. Materials and methods: Sixty-one patients with INMA (34 with low-to-moderate grade [i.e., grade I and grade II] and 27 with high grade [i.e., grade III]) were evaluated with spectral CT. There were 28 men and 33 women, with a mean age of 56.4 +/- 10.5 (standard deviation) years (range: 29-78 years). The whole-lesion iodine map histogram parameters (mean, standard deviation, variance, skewness, kurtosis, entropy, and 1st, 10th, 25th, 50th, 75th, 90th, and 99th percentile) were measured for each INMA. In other sessions, by placing regions of interest at representative levels of the tumor and normalizing them, spectral CT parameters (iodine concentration and normalized iodine concentration) were obtained. Discriminating capabilities of spectral CT and histogram parameters were assessed and compared using area under the ROC curve (AUC) and logistic regression models. Results: The 1st, 10th, and 25th percentiles of the iodine map histogram analysis, and iodine concentration and normalized iodine concentration of single-slice spectral CT parameters were significantly different between high-grade and low-to-moderate grade INMAs (P < 0.001 to P = 0.002). The 1st percentile of histogram parameters (AUC, 0.84; 95% confidence interval [CI]: 0.73-0.92) and iodine concentration (AUC, 0.78; 95% CI: 0.66-0.88) from single-slice spectral CT parameters had the best performance for discriminating between high-grade and low-to-moderate grade INMAs. At ROC curve analysis no significant differences in AUC were found between histogram parameters (AUC = 0.86; 95% CI: 0.74-0.93) and spectral CT parameters (AUC = 0.81; 95% CI: 0.74-0.93) (P = 0.60). Conclusion: Both whole-lesion iodine map histogram analysis and single-slice spectral CT parameters help discriminate between low-to-moderate grade and high-grade INMAs according to the novel International Association for the Study of Lung Cancer grading system, with no differences in diagnostic performances.
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页码:165 / 173
页数:9
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