ArticleTechnology in cancer research & treatment
A Translational Research Leveraging Diagnostic Accuracy of Innovations in MRI as a Model for Early Breast Cancer Detection in Uganda.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Review
- Multidimensional correlation magnetic resonance imaging in low- and middle-income countries: opportunities and barriers to equitable deployment.Frontiers in public health · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
IntroductionBreast cancer remains a leading cause of cancer-related morbidity and mortality in sub-Saharan Africa, with Uganda experiencing a reported 5% annual increase in cases. Alarmingly, 87% of women in Uganda present with advanced-stage disease that is less responsive to treatment, contributing to the region's disproportionately low survival rate. Early breast cancer detection will be the fundamental intervention to reverse the mortality resulting from breast cancer in Uganda. This study aims to enhance breast cancer screening and early detection in Ugandan women who are at risk through innovative use of quantitative MRI to differentiate between benign and malignant breast lesions for women at risk.MethodsThe study prospectively recruited women at risk of breast cancer who underwent breast ultrafast DCE-MRI from July 2023 to April 2024. A 3.0-T MRI system with a16 channel breast dedicated coil was used with scan durations of up to 10 min. The T1 weighted pre-contrast, T1 weighted post-contrast, T1 weighted dynamic subtracted and Maximum Intensity projection (MIP) sequences were acquired and the histology blinded pharmacokinetic analysis for the breast lesion was done. The initial area under the curve in 30 s after contrast injection (
Indexed as
Identifiers
What OpenQuestion holds
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.