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Comparison of MR cytometry methods in predicting immunohistochemical factor status and molecular subtypes of breast cancer

Lei Wu

Lei Wu

Qinghai University Affiliated HospitalXining, China
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Wu, Lei
, 
Fan Liu

Fan Liu

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua UniversityBeijing, China
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Liu, Fan
, 
Sisi Li

Sisi Li

MR Research Collaboration Team, Siemens Healthineers Ltd.Beijing, China
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Li, Sisi
, 
Xinyi Luo

Xinyi Luo

Tsinghua Shenzhen International Graduate School, Tsinghua UniversityShenzhen, China
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Luo, Xinyi
, 
Yishi Wang

Yishi Wang

MR Research Collaboration Team, Siemens Healthineers Ltd.Beijing, China
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Wang, Yishi
, 
Wen Zhong

Wen Zhong

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua UniversityBeijing, China
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Zhong, Wen
, 
Thorsten Feiweier

Thorsten Feiweier

MR Research Collaboration Team, Siemens Healthineers AGErlangen, Germany
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Feiweier, Thorsten
, 
Junzhong Xu

Junzhong Xu

  • Institute of Imaging Science, Vanderbilt University Medical CenterNashville, United States
  • Department of Biomedical Engineering, Vanderbilt UniversityNashville, United States
  • Department of Radiology and Radiological Sciences, Vanderbilt University Medical CenterNashville, United States
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Xu, Junzhong
, 
Haihua Bao

Haihua Bao

Qinghai University Affiliated HospitalXining, China
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Bao, Haihua
, 
Diwei Shi

Diwei Shi

Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua UniversityBeijing, China
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Shi, Diwei
 oraz 
Hua Guo

Hua Guo

Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua UniversityBeijing, China
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Guo, Hua
  
06 sie 2025
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Kategoria artykułu: Research Article
Data publikacji: 06 sie 2025
Zakres stron: 337 - 348
Otrzymano: 03 mar 2025
Przyjęty: 19 maj 2025
DOI: https://doi.org/10.2478/raon-2025-0044
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© 2025 Lei Wu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Background

First evaluation of the performance of MR cytometry incorporating transcytolemmal water exchange in predicting immunohistochemical factor status and molecular subtypes of breast cancer.

Patients and methods

We prospectively enrolled 90 breast cancer patients in the study. For each participant, pulsed gradient spin-echo (PGSE) with diffusion time of 70 ms and oscillating gradient spin-echo (OGSE) diffusion-weighted imaging of 25 Hz and 50 Hz were performed on a 3T MRI scanner. Time-dependent apparent diffusion coefficients (ADC) and microstructural parameters including cell diameter d, intracellular volume fraction vin, water exchange rate constant kin, and apparent extracellular diffusivity Dex were calculated. Single- and multi-variable logistic regression analyses were performed to evaluate their performance in identifying immunohistochemistry (IHC) factor status and molecular subtypes. The area under the receiver operating characteristic curve (AUC) was computed.

Results

The multi-variable regression models generated from MR cytometry-derived metrics provided higher AUC compared to those from time-dependent ADC metrics, i.e. 0.744 vs. 0.645 for estrogen receptor (ER), 0.727 vs. 0.688 for progesterone receptor (PR), 0.734 vs.0.623 for HER2, and 0.679 vs. 0.633 for Ki67, 0.751 vs. 0.644 for Triple-Negative Breast Cancer (TNBC), 0.819 vs. 0.765 for HER2-enriched, 0.730 vs. 0.659 for Luminal A, 0.633 vs. 0.633 for Luminal B. MR cytometry with transcytolemmal water exchange (JOINT and EXCHANGE) outperformed the original one with the impermeable model (IMPULSED) in predicting PR (0.727 vs. 0.705), HER2 (0.734 vs. 0.689), Ki67 (0.679 vs. 0.646), TNBC (0.751 vs. 0.748) and HER2-enriched (0.819 vs. 0.739), Luminal A (0.730 vs. 0.666), Luminal B (0.633 vs. 0.630).

Conclusions

MR cytometry outperformed conventional ADC measurements in clinical breast cancer subtyping. Incorporating transcytolemmal water exchange further enhanced classification accuracy.
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Medycyna, Medycyna kliniczna, Medycyna wewnętrzna, Hematologia, onkologia, Radiologia
Kanał RSS czasopisma