Volume 62, Issue 2 pp. 521-533
Research Article

Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors

Fan Liu

Fan Liu

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China

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Lei Wu

Lei Wu

Qinghai University Affiliated Hospital, Xining, China

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Xinyi Luo

Xinyi Luo

Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

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Sisi Li

Sisi Li

MR Collaborations, Siemens Healthineers, Beijing, China

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Yishi Wang

Yishi Wang

MR Collaborations, Siemens Healthineers, Beijing, China

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Wen Zhong

Wen Zhong

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China

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Thorsten Feiweier

Thorsten Feiweier

MR Research Collaboration Team, Siemens Healthineers AG, Erlangen, Germany

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Junzhong Xu

Junzhong Xu

Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA

Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA

Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA

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Diwei Shi

Corresponding Author

Diwei Shi

Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Correspondence:

Diwei Shi ([email protected])

Haihua Bao ([email protected])

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Haihua Bao

Corresponding Author

Haihua Bao

Qinghai University Affiliated Hospital, Xining, China

Correspondence:

Diwei Shi ([email protected])

Haihua Bao ([email protected])

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Hua Guo

Hua Guo

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China

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First published: 11 March 2025
Citations: 2

Funding: This work was supported by the National Key Research and Development Program of China, 2022-YFC-2405303 and National Natural Science Foundation of China, 2024-NSFC-62401329.

Co-first authors Fan Liu and Lei Wu contributed equally to this manuscript.

Co-corresponding authors Haihua Bao and Diwei Shi contributed equally to this manuscript.

ABSTRACT

Background

MR cytometry is a class of diffusion-MRI-based methods that characterize tumor microstructures at the cellular level. It involves multicompartmental biophysical modeling of multi-b and multiple diffusion time data to generate microstructural parameters, which may improve differentiation of benign and malignant breast tumors.

Purpose

To implement MR cytometry imaging with transcytolemmal water exchange (JOINT and EXCHANGE) to differentiate benign and malignant breast tumors, and to compare the classification efficacy of IMPULSED, JOINT, and EXCHANGE.

Study Type

Prospective.

Subjects

115 patients with pathologically confirmed breast tumors (25 benign and 90 malignant).

Field Strength/Sequence

3T; pulsed gradient spin-echo (PGSE) diffusion-weighted imaging (DWI) and oscillating gradient spin-echo (OGSE) DWI at 25 and 50 Hz.

Assessment

Tumor regions were delineated by two radiologists on DWI. Time-dependent ADC and microstructural parameters (cell diameter d , intracellular volume fraction v in , water exchange rate constant k in , extracellular diffusivity D ex and intracellular intrinsic diffusivity D in ) were calculated. Classification performance was assessed in the original cohort and in an age-adjusted cohort (excluding older malignant patients to eliminate significant age differences).

Statistical Tests

Mann–Whitney U-tests compared benign and malignant tumor values. Multivariable logistic regression used a stepwise approach based on the likelihood ratio test. The area under the receiver operating characteristic (AUC) was computed and compared by using the DeLong test.

Results

In the full analysis (25 benign, 90 malignant), microstructural parameters from methods incorporating transcytolemmal water exchange (JOINT and EXCHANGE) demonstrated superior performance (AUC: ADC, 0.822; IMPULSED, 0.840; JOINT, 0.902; EXCHANGE, 0.905). Combining different metrics further improved classification (AUC: IMPULSED [ d , v in ], 0.942; JOINT [ d , v in ], 0.956; EXCHANGE [ d , k in ], 0.954; [ ADC PGSE , ADC 25 Hz , AD C 50 Hz ], 0.927). These improvements were also observed in the age-adjusted analysis (25 benign, 42 malignant).

Data Conclusion

MR cytometry outperformed ADC in distinguishing benign and malignant breast tumors. Incorporating transcytolemmal water exchange into biophysical modeling further improved its diagnostic performance.

Evidence Level: 1

Technical Efficacy: Stage 2

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