Yongsheng Ao, Xuanle Li, Lan Mu, Jierui Zhao, Hongliang Chen, Yunling Wang, Shuheng Zhang, Shimin Yang, Na Zhang, Lihua Qiu
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引用次数: 0
Abstract
Background: To assess the effect of scan time after contrast injection on breast MRI DWI sequence ADC values and its role in lesion differentiation.
Patients and methods: Between 2022 and 2023, two hundred and fifty-one breast magnetic resonance (MR) images were collected from 251 patients, who had a total of 258 lesions. Pathology results obtained within 1 month of the MR imaging were utilized. Apparent diffusion coefficient (ADC) values were measured at 3 time-points: precontrast, 3 minutes postcontrast, and 6 minutes postcontrast. For the analysis, statistical methods including the Friedman test, linear mixed models, Bonferroni correction, receiver operating characteristic (ROC) curve analysis, and DeLong test were applied.
Results: Contrast agents cause ADC values to decrease within 3 minutes after injection and recover within 6 minutes (e.g., invasive ductal carcinoma). ADC can distinguish between benign tumors and cancers but not between carcinoma in situ and invasive carcinoma. Time-dependent changes do not affect the differentiation of benign from malignant lesions.
Conclusion: Contrast injection time has little effect on the effectiveness of ADC in differentiating benign from malignant lesions on DWI sequences. The findings support the feasibility of postcontrast DWI without compromising diagnostic accuracy.
期刊介绍:
Clinical Breast Cancer is a peer-reviewed bimonthly journal that publishes original articles describing various aspects of clinical and translational research of breast cancer. Clinical Breast Cancer is devoted to articles on detection, diagnosis, prevention, and treatment of breast cancer. The main emphasis is on recent scientific developments in all areas related to breast cancer. Specific areas of interest include clinical research reports from various therapeutic modalities, cancer genetics, drug sensitivity and resistance, novel imaging, tumor genomics, biomarkers, and chemoprevention strategies.