ArticleEuropean radiology2018
Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Diagnostic Performance of Diffusion Tensor Imaging for Characterizing Breast Tumors: A Comprehensive Meta-Analysis.Frontiers in oncology · 2019Pooled it
- Diffusion tensor imaging: survival analysis prediction in breast cancer patients.Radiologie (Heidelberg, Germany) · 2024Article
- The road to breast cancer screening with diffusion MRI.Frontiers in oncology · 2023Review
- Diffusion Breast MRI: Current Standard and Emerging Techniques.Frontiers in oncology · 2022Review
- Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation.Korean journal of radiology · 2021Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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Abstract
objectivesTo investigate whether quantitative diffusion metrics derived from diffusion tensor imaging (DTI) are associated with histological prognostic factors in breast cancer patients.
methodsThis retrospective study was approved by the institutional review board, and informed consent was waived. Between 2016 and 2017, 251 consecutive women (mean age, 53.8 years) with breast cancer (230 invasive, 21 in situ) who underwent preoperative magnetic resonance (MR) imaging with DTI were identified. Diffusion gradients were applied in 20 directions (b values, 0 and 1,000 s/mm
resultsMD and FA were significantly lower for breast cancers than for normal fibroglandular tissues (1.03 ± 0.25×10
conclusionsDTI-derived diffusion metrics, such as MD and FA, are associated with histological prognostic factors in breast cancer patients. KEY POINTS: • MD was significantly lower for breast cancers than for normal breast tissues. • FA was significantly lower for breast cancers than for normal breast tissues. • Reduced DTI metrics were associated with poor prognostic factors of breast cancer. • DTI may provide valuable information concerning biological aggressiveness in breast cancer.
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