ArticleRadiology2025
Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer.
Article in Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- ESR Essentials: artificial intelligence in breast imaging-practice recommendations by the European Society of Breast Imaging.European radiology · 2026Guideline
- For want of a nail, region-based qualitative BPE.European radiology · 2026Article
- Performance of clinical breast cancer risk prediction models vs a mammography-based artificial intelligence risk model.Journal of the National Cancer Institute · 2026Article
- Development and internal validation of mammography feature-based prognostic models for distant recurrence-free survival of invasive breast cancer in a screening cohort.NPJ breast cancer · 2026Article
- Associations of early-adulthood adiposity with breast parenchymal tissue complexity within premenopausal women.Breast cancer research : BCR · 2025Article
- Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions.BMC medical imaging · 2025Article
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17 authors.
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Abstract
Background Parenchymal phenotypes reflect the intrinsic heterogeneity of both tissue structure and distribution on mammograms. Purpose To define parenchymal phenotypes on the basis of radiomic texture features derived from full-field digital mammography (FFDM) in breast screening populations and assess associations of parenchymal phenotypes with future risk of breast cancer and masking (false-negative [FN] findings or interval cancers), beyond breast density, and by race and ethnicity Materials and Methods A two-stage study design included a retrospective cross-sectional study of 30 000 randomly selected women with four-view FFDM (mean age, 57.4 years) and a nested case-control study of 1055 women with invasive breast cancer (151 Black and 893 White women) matched to 2764 women without breast cancer (411 Black and 2345 White women) (mean age, 60.4 years) sampled from April 2008 to September 2019 from three diverse breast screening practices. Radiomic features (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.