ArticleRadiology and oncology2025
Comparison of MR cytometry methods in predicting immunohistochemical factor status and molecular subtypes of breast cancer.
Article in Radiology and oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Feasibility of predicting breast cancer Ki-67 expression using histogram features derived from time-dependent diffusion magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
- Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer.BMC medical imaging · 2026Article
- MRI cytometry imaging for cervical cancer differential diagnosis: a preliminary study.BMC medical imaging · 2025Article
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11 authors.
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Abstract
backgroundFirst evaluation of the performance of MR cytometry incorporating transcytolemmal water exchange in predicting immunohistochemical factor status and molecular subtypes of breast cancer. PATIENTS AND
methodsWe 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
resultsThe multi-variable regression models generated from MR cytometry-derived metrics provided higher AUC compared to those from time-dependent ADC metrics,
conclusionsMR cytometry outperformed conventional ADC measurements in clinical breast cancer subtyping. Incorporating transcytolemmal water exchange further enhanced classification accuracy.
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