SynthesisJournal of cancer research and clinical oncology2018
The clinical usefulness of optical coherence tomography during cancer interventions.
Synthesis in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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
29 citing papers in PubMed, 74 citations in OpenAlex.
- Trial
- The Use of Narrow-Band Imaging to Improve Pathological Margin in Oral Squamous Cell Carcinoma: A Prospective Randomized Controlled Trial.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-facialeTrial
- Three-dimensional dynamic optical coherence tomography for breast tumor margin assessment.Biomedical optics express · 2025Article
- OCT in Oncology and Precision Medicine: From Nanoparticles to Advanced Technologies and AI.Bioengineering (Basel, Switzerland) · 2025Review
- Dynamics-aware deep predictive adaptive scanning optical coherence tomography.Biomedical optics express · 2025Article
- Systematic comparison of fluorescence imaging in the near-infrared and shortwave-infrared spectral range using clinical tumor samples containing cetuximab-IRDye800CW.Journal of biomedical optics · 2025Article
- Colon Tumor Discrimination Combining Independent Endoscopic Probe-Based Raman Spectroscopy and Optical Coherence Tomography Modalities with Bayes Rule.International journal of molecular sciences · 2024Article
- Multimodal Optical Imaging of Ex Vivo Fallopian Tubes to Distinguish Early and Occult Tubo-Ovarian Cancers.Cancers · 2024Article
- Advancements in tantalum based nanoparticles for integrated imaging and photothermal therapy in cancer management.RSC advances · 2024Review
- Imaging Biomarkers of Oral Dysplasia and Carcinoma Measured with In Vivo Endoscopic Optical Coherence Tomography.Cancers · 2024Article
- Biophysics in tumor growth and progression: from single mechano-sensitive molecules to mechanomedicine.Oncogene · 2023Review
- Visualizing enteric nervous system activity through dye-free dynamic full-field optical coherence tomography.Communications biology · 2023Article
- Dynamic full-field optical coherence tomography for live-cell imaging and growth-phase monitoring inFrontiers in cellular and infection microbiology · 2023Article
- A novel algorithm for multiplicative speckle noise reduction in ex vivo human brain OCT images.NeuroImage · 2022Article
- Intravital 3D visualization and segmentation of murine neural networks at micron resolution.Scientific reports · 2022Article
- The complementary value of intraoperative fluorescence imaging and Raman spectroscopy for cancer surgery: combining the incompatibles.European journal of nuclear medicine and molecular imaging · 2022Review
- Ex-vivo evaluation of miniaturized probes for endoscopic optical coherence tomography in urothelial cancer diagnostics.Annals of medicine and surgery (2012) · 2022Article
- Scalable mapping of myelin and neuron density in the human brain with micrometer resolution.Scientific reports · 2022Article
- Review
- Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images.Radiology research and practice · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
introductionTumor detection and visualization plays a key role in the clinical workflow of a patient with suspected cancer, both in the diagnosis and treatment. Several optical imaging techniques have been evaluated for guidance during oncological interventions. Optical coherence tomography (OCT) is a technique which has been widely evaluated during the past decades. This review aims to determine the clinical usefulness of OCT during cancer interventions focussing on qualitative features, quantitative features and the diagnostic value of OCT.
methodsA systematic literature search was performed for articles published before May 2018 using OCT in the field of surgical oncology. Based on these articles, an overview of the clinical usefulness of OCT was provided per tumor type.
resultsA total of 785 articles were revealed by our search, of which a total of 136 original articles were available for analysis, which formed the basis of this review. OCT is currently utilised for both preoperative diagnosis and intraoperative detection of skin, oral, lung, breast, hepatobiliary, gastrointestinal, urological, and gynaecological malignancies. It showed promising results in tumor detection on a microscopic level, especially using higher resolution imaging techniques, such as high-definition OCT and full-field OCT.
conclusionIn the near future, OCT could be used as an additional tool during bronchoscopic or endoscopic interventions and could also be implemented in margin assessment during (laparoscopic) cancer surgery if a laparoscopic or handheld OCT device will be further developed to make routine clinical use possible.
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Identifiers
What Socratic 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 Socratic graph.