ArticleBJS open2023
Breast carcinoma detection in ex vivo fresh human breast surgical specimens using a fast slide-free confocal microscopy scanner: HIBISCUSS project.
Article in BJS open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04976556 (Breast Carcinoma Detection in Ex-vivo Fresh Breast Surgical Specimens Using the Histolog Scanner, Slide-free Confocal Microscopy Scanner), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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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.
Breast Carcinoma Detection in Ex-vivo Fresh Breast Surgical Specimens Using the Histolog Scanner, Slide-free Confocal Microscopy Scanner
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Current role of HistologPathologica · 2026Pooled it
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- Laser Confocal Microscopy May Be a Useful Tool in Neuropathological Intraoperative Examination.Diagnostics (Basel, Switzerland) · 2025Article
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- Article
- Article
- Confocal Laser Microscopy for Intraoperative Margin Assessment in Breast-Conserving Surgery: A New Procedure in the Pathology Laboratory Workflow.The American journal of surgical pathology · 2025Article
- Breast tissue imaging atlas using ultra-fast confocal microscopy to identify cancer lesions.Virchows Archiv : an international journal of pathology · 2025Article
- Perspective on the use of fluorescence molecular imaging for peripheral and deepJournal of biomedical optics · 2025Review
- Immediate Diagnosis of Breast Carcinoma on Core Needle Biopsy Using Ex Vivo Fluorescence Confocal Microscopy: Feasibility in a One-Stop Breast Clinic Workflow.Life (Basel, Switzerland) · 2024Article
- Article
- Virtual Staining of Nonfixed Tissue Histology.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024Review
- SENOSI Confocal Microscopy: A New and Innovating Way to Detect Positive Margins in Non-Palpable Breast Cancer?Life (Basel, Switzerland) · 2024Article
- Structured illumination microscopy for cancer identification in diagnostic breast biopsies.PloS one · 2024Article
- Imaging of lumpectomy surface with large field-of-view confocal laser scanning microscope for intraoperative margin assessment - POLARHIS study.Breast (Edinburgh, Scotland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNew generation ultra-fast fluorescence confocal microscopy allows the ex vivo intraoperative analysis of fresh tissue. The High resolution Imaging for Breast carcInoma detection in ex vivo Specimens after breast Conserving sUrgery by hiStolog Scanner (HIBISCUSS) project aimed to develop an online learning program to recognize the main breast tissue features on ultra-fast fluorescence confocal microscopy images and to evaluate the performance of surgeons and pathologists in diagnosing cancerous and non-cancerous breast tissue in ultra-fast fluorescence confocal microscopy images.
methodsPatients who underwent conservative surgery or mastectomy for breast carcinoma (invasive or in situ lesions) were included. The fresh specimens were stained with a fluorescent dye and imaged using a large field-of-view (20 cm2) ultra-fast fluorescence confocal microscope.
resultsOne hundred and eighty-one patients were included. The images from 55 patients were annotated to generate learning sheets and images from 126 patients were blindly interpreted by seven surgeons and two pathologists. The time for tissue processing and ultra-fast fluorescence confocal microscopy imaging was between 8 and 10 min. The training program was composed of 110 images divided into nine learning sessions. The final database for blind performance assessment comprised 300 images. The mean duration for one training session and one performance round was 17 and 27 min respectively. The performance of pathologists was almost perfect with 99.6 per cent (standard deviation (s.d.) 5.4 per cent) accuracy. Surgeons' accuracy significantly increased (P = 0.001) from 83 per cent (s.d. 8.4 per cent) in round 1 to 98 per cent (s.d. 4.1 per cent) in round 7 as well as the sensitivity (P = 0.004). Specificity increased without significance from 84 per cent (s.d. 16.7 per cent) in round 1 to 87 per cent (s.d. 16.4 per cent) in round 7 (P = 0.060).
conclusionPathologists and surgeons showed a short learning curve in differentiating breast cancer from non-cancerous tissue in ultra-fast fluorescence confocal microscopy images. Performance assessment for both specialties supports ultra-fast fluorescence confocal microscopy evaluation for intraoperative management. REGISTRATION NUMBER: NCT04976556 (http://www.clinicaltrials.gov).
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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.