ReviewLasers in medical science2019
Optical coherence tomography imaging of melanoma skin cancer.
Review in Lasers in medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses 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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- S1 guideline for imaging diagnostics for skin diseases.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025Guideline
- Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review.Journal of biomedical optics · 2024Pooled it
- Differentiating malignancy from liver parenchyma in Ex-Vivo OCT images using anomaly detection.Scientific reports · 2026Article
- Cost-effective Mueller matrix microscopy for label-free differentiation of melanoma from normal skin and common skin cancer types.Biomedical optics express · 2025Article
- Article
- Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images.Diagnostics (Basel, Switzerland) · 2024Article
- LS-Net: lightweight segmentation network for dermatological epidermal segmentation in optical coherence tomography imaging.Biomedical optics express · 2024Article
- The Role of Artificial Intelligence in Early Diagnosis and Molecular Classification of Head and Neck Skin Cancers: A Multidisciplinary Approach.Diagnostics (Basel, Switzerland) · 2024Review
- Using optical coherence tomography to optimize Mohs micrographic surgery.Scientific reports · 2024Article
- Feasibility of High-Cellular-Resolution Full-Field, Artificial-Intelligence-Assisted, Real-Time Optical Coherence Tomography in the Evaluation of Vitiligo: A Prospective Longitudinal Follow-Up Study.Bioengineering (Basel, Switzerland) · 2024Article
- Recent advancements in the diagnosis and treatment of acral melanoma.Journal of Zhejiang University. Science. B · 2024Review
- Non-invasive 3D imaging of human melanocytic lesions by combined ultrasound and photoacoustic tomography: a pilot study.Scientific reports · 2024Article
- Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education.Frontiers in medicine · 2024Article
- Article
- Multispectral Imaging for Skin Diseases Assessment-State of the Art and Perspectives.Sensors (Basel, Switzerland) · 2023Review
- Slit lamp polarized dermoscopy: a cost-effective tool to assess eyelid lesions.International ophthalmology · 2023Article
- Melanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomography.Life (Basel, Switzerland) · 2023Article
- Enhancing Skin Cancer Immunotheranostics and Precision Medicine through Functionalized Nanomodulators and Nanosensors: Recent Development and Prospects.International journal of molecular sciences · 2023Review
- Efficient label-freePhotoacoustics · 2023Article
- Mapping knowledge landscapes and emerging trends of the biomarkers in melanoma: a bibliometric analysis from 2004 to 2022.Frontiers in oncology · 2023Article
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 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
No consensus guidelines exist on the use of optical coherence tomography (OCT) for diagnosis of cutaneous melanoma. The objectives of this review are to provide a descriptive review of the literature on characteristics of cutaneous melanomas seen on high-definition OCT (HD-OCT), speckle variance OCT (SV-OCT), and conventional OCT and to compare their diagnostic ability with that of histopathology. A review of PubMed and Google Scholar identified all available literature on OCT in melanoma skin cancer that included all in vivo and ex vivo studies on human or human tissues and excluded all studies on non-human subjects or animal studies. Two hundred nine abstracts were considered for evaluation, 31 abstracts were selected for manuscript review, and 14 abstracts were included that met all criteria. Diagnoses of MIS and MM using HD-OCT and SV-OCT were consistently reported to correlate with histopathology. However, accuracy of diagnosis using conventional OCT varied. Most authors agreed that it was difficult to differentiate MM from benign nevi using conventional OCT. HD-OCT, SV-OCT, and conventional OCT show promise for visualizing cutaneous melanoma. The use of OCT in diagnosis of melanoma is rarely reported in the literature. There is a need to increase and standardize reporting of OCT for diagnosis of cutaneous melanoma.
Indexed as
Identifiers
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.