ArticlePloS one2017
Validation of full-field optical coherence tomography in distinguishing malignant and benign tissue in resected pancreatic cancer specimens.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04101292 (Endoscopic Optical Imaging for Precision Oncology Treatment Applied to Colorectal Tumours), which is not on this map. Cited by 13 papers, 2 of them syntheses 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.
Endoscopic Optical Imaging for Precision Oncology Treatment Applied to Colorectal Tumours
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Cutting Edge Microscopic Intraoperative Tissue Assessment for Guidance in Oncologic Surgery: A Systematic Review of the Role of Optical Coherence Tomography.Annals of surgical oncology · 2025Pooled it
- The clinical usefulness of optical coherence tomography during cancer interventions.Journal of cancer research and clinical oncology · 2018Pooled it
- Identifying intact and fibrotic parenchyma in pancreatic ductal adenocarcinomas using compression optical coherence elastography.Scientific reports · 2026Article
- Article
- Review
- Value of high-resolution full-field optical coherence tomography and dynamic cell imaging for one-stop rapid diagnosis breast clinic.Cancer medicine · 2023Article
- Study on the application of optical coherence microscopy in Hirschsprung's disease.Scientific reports · 2023Article
- Longitudinal monitoring of pancreatic islet damage in streptozotocin-treated mice with optical coherence microscopy.Biomedical optics express · 2023Article
- Methods and applications of full-field optical coherence tomography: a review.Journal of biomedical optics · 2022Review
- Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Ex Vivo Microscopy: A Promising Next-Generation Digital Microscopy Tool for Surgical Pathology Practice.Archives of pathology & laboratory medicine · 2019Review
- Spectroscopic imaging with spectral domain visible light optical coherence microscopy in Alzheimer's disease brain samples.Biomedical optics express · 2017Article
- Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer is the fourth leading cause of cancer-related mortality in the United States. The minority of patients can undergo curative-intended surgical therapy due to progressive disease stage at time of diagnosis. Nonetheless, tumor involvement of surgical margins is seen in up to 70% of resections, being a strong negative prognostic factor. Real-time intraoperative imaging modalities may aid surgeons to obtain tumor-free resection margins. Full-field optical coherence tomography (FF-OCT) is a promising diagnostic tool using high-resolution white-light interference microscopy without tissue processing. Therefore, we composed an atlas of FF-OCT images of malignant and benign pancreatic tissue, and investigated the accuracy with which the pathologists could distinguish these. MATERIALS AND
methodsOne hundred FF-OCT images were collected from specimens of 29 patients who underwent pancreatic resection for various indications between 2014 and 2016. One experienced gastrointestinal pathologist and one pathologist in training scored independently the FF-OCT images as malignant or benign blinded to the final pathology conclusion. Results were compared to those obtained with standard hematoxylin and eosin (H&E) slides.
resultsOverall, combined test characteristics of both pathologists showed a sensitivity of 72%, specificity of 74%, positive predictive value of 69%, negative predictive value of 79% and an overall accuracy of 73%. In the subset of pancreatic ductal adenocarcinoma patients, 97% of the FF-OCT images (n = 35) were interpreted as tumor by at least one pathologist. Moreover, normal pancreatic tissue was recognised in all cases by at least one pathologist. However, atrophy and fibrosis, serous cystadenoma and neuroendocrine tumors were more often wrongly scored, in 63%, 100% and 25% respectively.
conclusionFF-OCT could distinguish normal pancreatic tissue from pathologic pancreatic tissue in both processed as non-processed specimens using architectural features. The accuracy in pancreatic ductal adenocarcinoma is promising and warrants further evaluation using improved assessment criteria.
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