ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2020
Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.
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
55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- Reducing re-excision rates in breast conserving surgery with Margin Probe: systematic review.The British journal of surgery · 2024Pooled it
- Specimen mammography for intraoperative margin assessment in breast conserving surgery: a meta-analysis.Scientific reports · 2022Pooled it
- A pH/ATP Dual-Sensitive Nanoprobe-Based Bioluminescence Imaging for Intraoperative Human Multicancer Detection.Chemical & biomedical imaging · 2026Article
- Specimen PET-CT Imaging for Intraoperative Margin Assessment in Early-Stage Breast Cancer: The BrIMA Nonrandomized Clinical Trial.JAMA surgery · 2026Article
- From Label-Free Multiphoton Imaging to Pathological Reports: A Vision-Language Breast Cancer Margin Pathological Diagnosis System.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Quencher-Enhanced Raman Scattering Probes With Large Scattering Cross-Section for NIR-II Surgical Navigation and Postsurgical Site Infection Management.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Redefining Margin Assessment in Breast Conservation Surgery: Surgeon-Performed Intraoperative Ultrasound as a Reliable Alternative to Radiologic and Mammographic Assessment.European journal of breast health · 2026Article
- Intraoperative measurement of breast-conserving surgery margins: surgical application.Breast cancer research : BCR · 2026Review
- Article
- Exploring Artificial Intelligence in Orthopedic Surgery: A Review of Perception, Decision, and Execution Systems.Sensors (Basel, Switzerland) · 2026Review
- Detection of margin positivity in breast cancer using fluorescence and diffuse reflectance imaging.Journal of Taibah University Medical Sciences · 2026Article
- Virtual histology imaging of lymph nodesCancer biology & medicine · 2026Observational
- Rapid and Accurate Diagnosis of Breast Cancer by Fine-Needle Aspiration Biopsy Using the "Click-to-Sense" Method.Cancer medicine · 2026Article
- Clinically accessible drug-based nano-assemblies with self-targeting ability for NIR-II fluorescence imaging-guided surgery in triple-negative breast cancer.Theranostics · 2026Article
- Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment.NPJ digital medicine · 2025Article
- Diagnostic feasibility study of stereoscopic optical palpation for breast tumour margin assessment.BMC cancer · 2025Article
- Margin Matters: Advances in Intraoperative Margin Assessment for Breast-Conserving Surgery.Diagnostics (Basel, Switzerland) · 2025Review
- Aptamer-based NIR II imaging for breast cancer surgical resection.Npj imaging · 2025Article
- Article
- Toward real-time margin assessment in breast-conserving surgery with hyperspectral imaging.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clean surgical margins in breast-conserving surgery (BCS) are essential for preventing recurrence. Intraoperative pathologic diagnostic methods, such as frozen section analysis and imprint cytology, have been recognized as crucial tools in BCS. However, the complexity and time-consuming nature of these pathologic procedures still inhibit their broader applicability worldwide. To address this situation, two issues should be considered: 1) the development of nonpathologic intraoperative diagnosis methods that have better sensitivity, specificity, speed, and cost; and 2) the promotion of new imaging algorithms to standardize data for analyzing positive margins, as represented by artificial intelligence (AI), without the need for judgment by well-trained pathologists. Researchers have attempted to develop new methods or techniques; several have recently emerged for real-time intraoperative management of breast margins in live tissues. These methods include conventional imaging, spectroscopy, tomography, magnetic resonance imaging, microscopy, fluorescent probes, and multimodal imaging techniques. This work summarizes the traditional pathologic and newly developed techniques and discusses the advantages and disadvantages of each method. Taking into consideration the recent advances in analyzing pathologic data from breast cancer tissue with AI, the combined use of new technologies with AI algorithms is proposed, and future directions for real-time intraoperative margin assessment in BCS are discussed.
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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.