The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions

BMC Medical Informatics and Decision Making

Ying Hu¹  Yan Zhang¹  Jing-Liang Cheng¹  Ya-Nan Jin¹  Xiao-Pan Zhang¹  Xiao-Ning Shao¹ 

[1] Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No. 1 of Jianshe East Road, Erqi District, 450052, Zhengzhou, China;

关键词: Breast tumor;    IVIM;    Diffusion weighted imaging;    Magnetic resonance imaging;    Histogram metrics;    Differential diagnosis;   

DOI  :  10.1186/s12911-020-01257-0

来源: Springer

【 摘 要 】

BackgroundThe present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions.MethodsThe magnetic resonance imaging and clinical data of 55 patients (63 lesions) were retrospectively analyzed. The multi-b-valued diffusion-weighted imaging image was processed using the MADC software to obtain the gray-scaled maps of apparent diffusion coefficient (ADC)-slow, ADC-fast and f. The MaZda software was used to extract the histogram metrics of these maps. Combined with the conventional sequence images, the region of interest (ROI) was manually drawn along the edge of the lesion at the maximum level of the gray-scale image, and the difference of the data was analyzed between the benign and malignant breast lesions.ResultsThere were 29 patients with 37 benign lesions, which included 23 fibroadenomas, 6 adenosis, 1 breast cysts, 4 intraductal papillomas, and 3 inflammations of breast. Furthermore, 26 malignant lesions in 26 patients, which included 20 non-specific invasive ductal carcinomas, 5 intraductal carcinomas and 1 patient with squamous cell carcinoma. The ADC-slow (mean and the 50th percentile) and f (minimum, mean, kurtosis, the 10th percentile and 50th percentile) of these malignant breast lesions were significantly lower than those of benign lesions (P < 0.05), while ADC-fast (kurtosis) and f (variance, skewness) of these malignant breast lesions were significantly higher than those of benign lesions (P < 0.05).ConclusionThe histogram analysis of ADC-slow (mean and the 50th percentile), ADC-fast (kurtosis) and f (minimum, mean, kurtosis, the 10th percentile and 50th percentile. Variance, skewness) can provide a more objective and accurate basis for the differential diagnosis of benign and malignant breast lesions.

【 授权许可】

CC BY