Histogram Analysis of ADC Maps for Differentiating Brain Metastases From Different Histological Types of Lung Cancers
Makaleler > Tam Makale · 2020
Yazarlar: Mustafa Bozdağ, Ali Er, Akın ÇİNKOOĞLU
Canadian Association of Radiologists Journal, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2020, cilt 72, ss 271-278
Özet
Purpose: Our study aimed to investigate the role of histogram analysis derived from apparent diffusion coefficient (ADC) maps in brain metastases (BMs) from lung cancer for differentiating histological subtype. Methods: A total of 61 BMs (45 non-small cell lung cancer [NSCLC] comprising 32 adenocarcinoma [AC], 13 squamous cell carcinoma [SCC], and 16 small-cell lung cancer [SCLC]) in 50 patients with histopathologically confirmed lung cancer were retrospectively included in this study. Pretreatment cranial diffusion-weighted imaging was performed, and the corresponding ADC maps were generated. Regions of interest were drawn on solid components of the BM on all slices of the ADC maps to obtain parameters, including ADC max , ADC mean , ADC min , ADC median , ADC range , skewness, kurtosis, entropy, ADC 10 , ADC 25 , ADC 75 , and ADC 90 . Apparent diffusion coefficient histogram parameters were compared among histological type groups. Kruskal-Wallis, Mann-Whitney U, chi-square tests, and receiver-operating characteristic (ROC) curve were used for statistical assessment. Results: ADC min, ADC 10 , and ADC 25 were found to be significantly different among AC, SCC, and SCLC groups; these parameters were higher for AC group, moderate for SCC group, and significantly lower for SCLC group. Skewness and kurtosis were not significantly different among all groups. The ROC analysis for differentiating BMs of NSCLC from SCLC showed that ADC 25 achieved the highest area under the curve at 0.922 with 93.02% sensitivity and 81.25% specificity. Conclusion: Apparent diffusion coefficient histogram analysis of BMs from lung cancer has significant prognostic value in differentiating histological subtypes of lung cancer.