Histogram Analysis of ADC Maps for Differentiating Brain Metastases From Different Histological Types of Lung Cancers
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sage Publications Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
Anahtar Kelimeler
brain metastasis, lung cancer, apparent diffusion coefficient, histogram analysis, magnetic resonance imaging, Apparent Diffusion-Coefficient, Mri, Parameters, Utility, Grade, Aids
Kaynak
Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes
WoS Q Değeri
Q2
Scopus Q Değeri
Cilt
72
Sayı
2
