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BMC Medical Informatics and Decision Making

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Open Access 01-12-2020 | Magnetic Resonance Imaging | Research article

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

Authors: Ya-Nan Jin, Yan Zhang, Jing-Liang Cheng, Xiao-Pan Zhang, Ying Hu, Xiao-Ning Shao

Published in: BMC Medical Informatics and Decision Making | Issue 1/2020

Abstract

Background

The 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.

Methods

The 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.

Results

There 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).

Conclusion

The 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.

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Title: The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions
Authors: Ya-Nan Jin
Yan Zhang
Jing-Liang Cheng
Xiao-Pan Zhang
Ying Hu
Xiao-Ning Shao
Publication date: 01-12-2020
Publisher: BioMed Central
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
Published in: BMC Medical Informatics and Decision Making / Issue 1/2020
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/s12911-020-01257-0

At a glance: The STEP trials

Springer Medicine

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

Abstract

Background

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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