Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study

<b>Objectives</b>: To explore the feasibility of time-dependent diffusion in clinical applications of breast MRI, as well as the capacity of quantitative microstructural mapping for characterizing the cellular properties in malignant and benign breast tumors. <b>Methods</b>: 38 patients with 45 lesions were enrolled. Diffusion MRI acquisition was conducted with a combination of pulsed gradient spin-echo sequences (PGSE) and oscillating gradient spin-echo (OGSE) on a 3T MRI scanner. The microstructural parameters including cellularity extracellular diffusivity (D<sub>ex</sub>), mean cell size, intracellular volume fraction (ν<sub>in</sub>), and the apparent diffusion coefficient (ADC) values were calculated. Each parameter was compared using the unpaired <i>t</i>-test between malignant and benign tumors. The area under the receiver operating characteristic curve (AUC) values was used to evaluate the diagnostic performance of different indices. <b>Results</b>: The mean diameter, D<sub>ex</sub>, ADC<sub>0Hz</sub>, ADC<sub>25Hz</sub>, and ADC<sub>50Hz</sub> were significantly lower in the malignant group than in the benign group (<i>p</i> < 0.001), while ν<sub>in</sub> and cellularity were significantly higher in the malignant group (<i>p</i> < 0.001). All the microstructural parameters and time-dependent ADC values achieved high accuracy in differentiating between malignant and benign tumors of the breast. For microstructural parameters, the AUC of the cellularity was greater than others (AUC = 0.936). In an immunohistochemical subgroup comparison, the PR-positive group had significantly lower ν<sub>in</sub> and cellularity, and significantly elevated D<sub>ex</sub> and ADC<sub>0Hz</sub> compared to the negative groups (<i>p</i> < 0.05). When combining diffusion parameters (cellularity, diameter, and ADC<sub>25Hz</sub>), the highest diagnostic performance was obtained with an AUC of 0.969. <b>Conclusions</b>: DWI with a short diffusion time is capable of providing additional microstructural parameters in differentiating between benign and malignant breast tumors. The time-dependent diffusion MRI parameters have the potential to serve as a non-invasive tool to probe the differences in the internal structures of breast lesions.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-03-24
DOI
https://doi.org/10.3390/diagnostics15070823
Citations
3
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
4.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study

Wenying Zhu, Shuyi Peng, Fan Yang, Jie Liu et al.
3 citations
Diagnostics
MRI in cancer diagnosis
4.08
article

Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study

Wenying Zhu, Shuyi Peng, Fan Yang, Jie Liu, Peng Sun, Juan Tao
article en
3 citations

Abstract

<b>Objectives</b>: To explore the feasibility of time-dependent diffusion in clinical applications of breast MRI, as well as the capacity of quantitative microstructural mapping for characterizing the cellular properties in malignant and benign breast tumors. <b>Methods</b>: 38 patients with 45 lesions were enrolled. Diffusion MRI acquisition was conducted with a combination of pulsed gradient spin-echo sequences (PGSE) and oscillating gradient spin-echo (OGSE) on a 3T MRI scanner. The microstructural parameters including cellularity extracellular diffusivity (D<sub>ex</sub>), mean cell size, intracellular volume fraction (ν<sub>in</sub>), and the apparent diffusion coefficient (ADC) values were calculated. Each parameter was compared using the unpaired <i>t</i>-test between malignant and benign tumors. The area under the receiver operating characteristic curve (AUC) values was used to evaluate the diagnostic performance of different indices. <b>Results</b>: The mean diameter, D<sub>ex</sub>, ADC<sub>0Hz</sub>, ADC<sub>25Hz</sub>, and ADC<sub>50Hz</sub> were significantly lower in the malignant group than in the benign group (<i>p</i> < 0.001), while ν<sub>in</sub> and cellularity were significantly higher in the malignant group (<i>p</i> < 0.001). All the microstructural parameters and time-dependent ADC values achieved high accuracy in differentiating between malignant and benign tumors of the breast. For microstructural parameters, the AUC of the cellularity was greater than others (AUC = 0.936). In an immunohistochemical subgroup comparison, the PR-positive group had significantly lower ν<sub>in</sub> and cellularity, and significantly elevated D<sub>ex</sub> and ADC<sub>0Hz</sub> compared to the negative groups (<i>p</i> < 0.05). When combining diffusion parameters (cellularity, diameter, and ADC<sub>25Hz</sub>), the highest diagnostic performance was obtained with an AUC of 0.969. <b>Conclusions</b>: DWI with a short diffusion time is capable of providing additional microstructural parameters in differentiating between benign and malignant breast tumors. The time-dependent diffusion MRI parameters have the potential to serve as a non-invasive tool to probe the differences in the internal structures of breast lesions.

DiagnosticsVol. 15(7)
Philips (China) (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 7%
MRI in cancer diagnosis
4.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.