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Comparing extracellular volume fraction with apparent diffusion coefficient for the characterization of breast tumors

医学 组织病理学 有效扩散系数 乳腺癌 病理 磁共振弥散成像 病态的 乳房磁振造影 核医学 放射科 磁共振成像 癌症 内科学 乳腺摄影术
作者
Xiaoxia Wang,Lihong Du,Ying Jun Cao,Huifang Chen,Jingfang Shi,Xiangfei Zeng,Xiaosong Lan,Haiping Huang,Shixi Jiang,Meng Lin,Jiuquan Zhang
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:171: 111268-111268 被引量:12
标识
DOI:10.1016/j.ejrad.2023.111268
摘要

Abstract Background: Tumor aggressiveness and therapeutic response are influenced not only by cancer cells but also by the extracellular matrix in tumor microenvironment, which can be quantified by extracellular volume (ECV) fraction derived from dual-energy CT (DECT). We aimed to investigate the feasibility of using routine chest DECT-derived ECV fraction for the characterization of breast tumor, compared to apparent diffusion coefficient (ADC) and validated against histopathological findings.Methods: The ECV fraction and ADC value were retrospectively assessed in patients with breast tumor using routine chest DECT and breast MRI, respectively. The diagnostic performance in predicting the histopathological characteristics [benign vs. malignant, invasive carcinoma vs. ductal carcinoma in situ (DCIS)], immunohistochemical biomarker status and pathological complete response (pCR) status. Histopathological sections (H&E staining) were analyzed to assess histopathological ECV by digital image analysis. Pearson’s correlation analysis was used to correlate between DECT-derived ECV and histopathological ECV fractions.Results: This study included 271 patients, with 314 breast lesions (61 benign and 253 malignant). The ECV fraction and ADC value showed comparable area under the curve (AUC) for distinguishing benign from malignant lesions (0.777 and 0.822, p = 0.123) and invasive carcinoma from DCIS (0.640 and 0.727, p = 0.115). There were significant differences in ECV fraction between different hormone receptor and Ki67 states (p = 0.001 ~ 0.014), while ADC values only differed among various Ki67 states (p < 0.001). The ECV fraction was lower (p = 0.007), while the ADC value was higher (p = 0.013) in the pCR than in the non-pCR group, with an AUC value of 0.748 and 0.730 (p = 0.887), respectively. There was a positive correlation between DECT-derived ECV and histopathological ECV fractions (r = 0.615, p < 0.01).Conclusions: Routine chest DECT-derived ECV fraction is a viable quantitative imaging biomarker for the characterization of breast tumor.
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