Trial reportCancer research2009
Intraoperative evaluation of breast tumor margins with optical coherence tomography.
Trial report in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 1 of them a synthesis 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
185 citing papers in PubMed, 1 synthesis or guideline pooled it, 387 citations in OpenAlex.
- The clinical usefulness of optical coherence tomography during cancer interventions.Journal of cancer research and clinical oncology · 2018Pooled it
- Microscale characterization of prostate biopsies tissues using optical coherence elastography and second harmonic generation imaging.Laboratory investigation; a journal of technical methods and pathology · 2018Trial
- Real-time Imaging of the Resection Bed Using a Handheld Probe to Reduce Incidence of Microscopic Positive Margins in Cancer Surgery.Cancer research · 2015Trial
- Photoacoustic imaging to optimize tumor delivery of human hemoglobin-derived oxygen carriers and subsequent photodynamic therapy.Biomedical optics express · 2026Article
- Differentiating malignancy from liver parenchyma in Ex-Vivo OCT images using anomaly detection.Scientific reports · 2026Article
- Polarisation-Sensitive Optical Coherence Tomography for Surgical Margin Evaluation and Diagnosis of Excised Canine Cutaneous and Subcutaneous Tumours.Veterinary and comparative oncology · 2026Article
- Artificial Intelligence in Label-Free Optical Imaging Applications.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Effective transfer of tumor annotations from hematoxylin and eosin to fluorescence images of breast and lung tissues.Journal of biomedical optics · 2026Article
- The Role of Tumor pH in Breast Cancer Imaging: Biology, Diagnostic Applications, and Emerging Techniques.Diagnostics (Basel, Switzerland) · 2025Review
- Rapid cancer diagnosis using deep learning-powered label-free subcellular-resolution photoacoustic histology.Science advances · 2025Article
- Margin Matters: Advances in Intraoperative Margin Assessment for Breast-Conserving Surgery.Diagnostics (Basel, Switzerland) · 2025Review
- Deep UV laser scanning microscopy with integrated 1050 nm spectral-domain optical coherence tomography for multi-contrast tissue imaging.Biomedical optics express · 2025Article
- Clinical evaluation of breast cancer tissue with optical coherence tomography: key findings from a large-scale study.Journal of cancer research and clinical oncology · 2025Article
- Technologies and techniques to improve precision in breast conserving surgery.Journal of surgical oncology · 2025Review
- A co-registration method to validateHeliyon · 2025Article
- Optical-resolution parallel ultraviolet photoacoustic microscopy for slide-free histology.Science advances · 2024Article
- Quantitative and comparative assessment of dyes and protocols for rapid ex vivo microscopy of fresh tissues.Scientific reports · 2024Article
- Digital histological staining of tissue slide images from optical coherence microscopy.Biomedical optics express · 2024Article
- Evaluating the Margins of Breast Cancer Tumors by Using Digital Breast Tomosynthesis with Deep Learning: A Preliminary Assessment.Diagnostics (Basel, Switzerland) · 2024Article
- A color-based tumor segmentation method for clinical ex vivo breast tissue assessment utilizing a multi-contrast brightfield imaging strategy.Journal of biophotonics · 2024Article
125 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
As breast cancer screening rates increase, smaller and more numerous lesions are being identified earlier, leading to more breast-conserving surgical procedures. Achieving a clean surgical margin represents a technical challenge with important clinical implications. Optical coherence tomography (OCT) is introduced as an intraoperative high-resolution imaging technique that assesses surgical breast tumor margins by providing real-time microscopic images up to 2 mm beneath the tissue surface. In a study of 37 patients split between training and study groups, OCT images covering 1 cm(2) regions were acquired from surgical margins of lumpectomy specimens, registered with ink, and correlated with corresponding histologic sections. A 17-patient training set used to establish standard imaging protocols and OCT evaluation criteria showed that areas of higher scattering tissue with a heterogeneous pattern were indicative of tumor cells and tumor tissue in contrast to lower scattering adipocytes found in normal breast tissue. The remaining 20 patients were enrolled into the feasibility study. Of these lumpectomy specimens, 11 were identified with a positive or close surgical margin and 9 were identified with a negative margin under OCT. Based on histologic findings, 9 true positives, 9 true negatives, 2 false positives, and 0 false negatives were found, yielding a sensitivity of 100% and specificity of 82%. These results show the potential of OCT as a real-time method for intraoperative margin assessment in breast-conserving surgeries.
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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.