ArticleDiagnostic pathology2022
Ex vivo fluorescence confocal microscopy: chances and changes in the analysis of breast tissue.
Article in Diagnostic pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Accuracy of Ex-vivo Fluorescence Confocal Microscopy in Margin Assessment of Solid Tumors: A Systematic Review.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2023Pooled it
- Article
- Instant confocal histology for the evaluation of kidney transplant procurement biopsies.Virchows Archiv : an international journal of pathology · 2025Article
- 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
- [Digital pathology using ex vivo confocal laser scanning microscopy].Dermatologie (Heidelberg, Germany) · 2025Review
- Rapid On-Site Digital Histopatholocal Evaluation (RODE) on Endobronchial Ultrasound (EBUS) Mediastinal Lymph Node Cryobiopsy Sampling Using Confocal Laser Microscopy-A Proof-Of-Concept Study.Respirology case reports · 2025Article
- Image Quality Assessment and Reliability Analysis of Artificial Intelligence-Based Tumor Classification of Stimulated Raman Histology of Tumor Biobank Samples.Diagnostics (Basel, Switzerland) · 2024Article
- 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
- Fast Green FCF Improves Depiction of Extracellular Matrix in Ex Vivo Fluorescence Confocal Microscopy.Life (Basel, Switzerland) · 2024Article
- Article
- Ex Vivo Fluorescence Confocal Microscopy (FCM) Ensures Representative Tissue in Prostate Cancer Biobanking: A Feasibility Study.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRapid histologic diagnosis of frozen sections is essential for a variety of surgical procedures. Frozen sections however, require specialized lab equipment, are prone to freezing artifacts and are not applicable to all types of tissue. Adipose tissue is especially difficult to process in frozen sections. Although these limitations are well known, no alternative method for microscopic tissue analysis that might replace frozen sections could be established. Our objective was to evaluate whether tissue imaging based on ex vivo fluorescent confocal microscopy (FCM) is applicable for rapid microscopic assessment of breast tumors specimens with abundant adipose tissue.
methodsWe evaluated 17 tissue samples from mastectomy specimens, rich in adipose tissue, submitted to the department of pathology at the Medical University of Vienna. We conducted our study on the FCM VivaScope® 2500M-G4 (Mavig GmbH, Munich, Germany; Caliber I.D.; Rochester NY, USA).
resultsWhen comparing FCM to frozen sections, we found a very similar overall processing time for FCM images and frozen sections respectively. Image quality was mostly superior to frozen sections (especially for adipose tissue and nuclear detail) but inferior to H&E stained FFPE sections. Limitations of the technology were uneven coloring, invisibility of ink applied for marking tissue margins and distortion artifacts if too much pressure is applied to the tissue.
conclusionFCM has the potential to expand the application and usefulness of rapid tissue analysis as speed is comparable and quality exceeds that of frozen sections especially in tissues rich in adipose cells such as breast specimen.
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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.