ArticleScientific reports2015
The Potential of High Resolution Magnetic Resonance Microscopy in the Pathologic Analysis of Resected Breast and Lymph Tissue.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Intraoperative measurement of breast-conserving surgery margins: surgical application.Breast cancer research : BCR · 2026Review
- Diagnostic feasibility study of stereoscopic optical palpation for breast tumour margin assessment.BMC cancer · 2025Article
- 7-T MRI-based surrogate for histopathology examination of liver fibrosis.European radiology experimental · 2025Article
- Intraoperative imaging in pathology-assisted surgery.Nature biomedical engineering · 2022Review
- Current Clinical and Pre-Clinical Imaging Approaches to Study the Cancer-Associated Immune System.Frontiers in immunology · 2021Review
- Assessing Histology Structures byFrontiers in oncology · 2021Article
- Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Across the spectrum: integrating multidimensional metal analytics for in situ metallomic imaging.Metallomics : integrated biometal science · 2019Review
- MRI evaluation of vulvar squamous-cell carcinoma in fresh radical local excision specimens for cancer localization and prediction of surgical tumor-free margins.NMR in biomedicine · 2019Article
- Review of methods for intraoperative margin detection for breast conserving surgery.Journal of biomedical optics · 2018Review
- Mapping of the three-dimensional lymphatic microvasculature in bladder tumours using light-sheet microscopy.British journal of cancer · 2018Article
- Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathologic evaluation of breast specimens requires a fixation and staining procedure of at least 12 hours duration, delaying diagnosis and post-operative planning. Here we introduce an MRI technique with a custom-designed radiofrequency resonator for imaging breast and lymph tissue with sufficient spatial resolution and speed to guide pathologic interpretation and offer value in clinical decision making. In this study, we demonstrate the ability to image breast and lymphatic tissue using 7.0 Tesla MRI, achieving a spatial resolution of 59 × 59 × 94 μm(3) with a signal-to-noise ratio of 15-20, in an imaging time of 56 to 70 minutes. These are the first MR images to reveal characteristic pathologic features of both benign and malignant breast and lymph tissue, some of which were discernible by blinded pathologists who had no prior training in high resolution MRI interpretation.
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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.