ArticleDiagnostics (Basel, Switzerland)2023
Relaxation-Diffusion T2-ADC Correlations in Breast Cancer Patients: A Spatiotemporally Encoded 3T MRI Assessment.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Diagnostic value of a multiparametric magnetic resonance imaging-based nomogram incorporating apparent diffusion coefficient in preoperative differentiation of phyllodes tumors from breast cancer: a retrospective study.Quantitative imaging in medicine and surgery · 2026Article
- An empirical explanation of why T2 of tissue and T2 related to field inhomogeneity contribute to the liver apparent diffusion coefficient (ADC) measure in opposite directions.Quantitative imaging in medicine and surgery · 2026Article
- Multiparametric MRI-based habitat analysis integrating deep learning and radiomics for predicting preoperative Ki-67 expression level in breast cancer.BMC medical imaging · 2026Article
- Temporal changes in sucrose phantoms for magnetic resonance imaging: effects of preparation temperatures.Radiological physics and technology · 2025Article
- Axillary Lymph Nodes T2 Signal Intensity Characterization in MRI of Patients With Mucinous Breast Cancer: A Pilot Study.Journal of breast imaging · 2025Article
- FastMagnetic resonance letters · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Quantitative correlations between T2 and ADC values were explored on cancerous breast lesions using spatiotemporally encoded (SPEN) MRI. To this end, T2 maps of patients were measured at more than one b-value, and ADC maps at several echo time values were recorded. SPEN delivered quality, artifact-free, TE-weighted DW images, from which T2-ADC correlations could be obtained despite the signal losses brought about by diffusion and relaxation. Data confirmed known aspects of breast cancer lesions, including their reduced ADC values vs. healthy tissue. Data also revealed an anticorrelation between the T2 and ADC values, when comparing regions with healthy and diseased tissues. This is contrary to expectations based on simple water restriction considerations. It is also contrary to what has been observed in a majority of porous materials and tissues. Differences between the healthy tissue of the lesion-affected breast and healthy tissue in the contralateral breast were also noticed. The potential significance of these trends is discussed, as is the potential of combining T2- and ADC-weightings to achieve an enhanced endogenous MRI contrast about the location of breast cancer lesions.
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Registered trials
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