ArticleCancer research2019
Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma.
Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.
- Advances in ultrasound-activated nano-sonosensitizers for cancer treatment: a systematic review and meta-analysis.Ultrasonics sonochemistry · 2026Pooled it
- Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review.Journal of biomedical optics · 2024Pooled it
- AI-Assisted Quantitative Reflectance Confocal Microscopy Reveals Modulation of Senescence-Associated Epidermal Morphometric Features by a Topical TGF-β Mimetic, XEP™-716 Miniprotein™.Dermatology and therapy · 2026Article
- Overview of State-of-the-Art Learning-Based Classification Methods in Medical Imaging.Annals of biomedical engineering · 2026Review
- Robust image quality evaluation in optical coherence tomography of skin using global, region-independent metrics.Scientific reports · 2026Article
- Impact of Scattering Variation Measured by Line-Field Confocal Optical Coherence Tomography on Fluorescence Measurement by Optical Spectroscopy: A Study on Phantoms and Human Skin Models.Skin pharmacology and physiology · 2025Article
- Impact of sample handling protocols on soft tissue attenuation coefficient and morphology.Journal of biomedical optics · 2025Article
- OCT in dermatology: a process for determining whether a fully diversified dataset is needed for AI model-building.Optics letters · 2025Article
- Laser speckle size and contrast investigation of volumetric scattering from controlled turbid phantoms and mouse skin tissues.iScience · 2025Article
- Review of Non-Invasive Imaging Technologies for Cutaneous Melanoma.Biosensors · 2025Review
- Article
- Assessing changes in ultraviolet radiation-exposed mouse skin using optical coherence tomography.PloS one · 2025Article
- Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction.Journal of biophotonics · 2025Article
- Using optical coherence tomography to optimize Mohs micrographic surgery.Scientific reports · 2024Article
- Skin Cancer Detection and Classification Using Neural Network Algorithms: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- Rapid measurement of epidermal thickness in OCT images of skin.Scientific reports · 2024Article
- In vivo attenuation profile of 660 nm and 830 nm wavelengths on human elbow skin and calcaneus tendon of different phototypes.Lasers in medical science · 2024Article
- Quantitative classification of melasma with photoacoustic microscopy: a pilot study.Journal of biomedical optics · 2024Article
- Artificial Intelligence and Radiomics: Clinical Applications for Patients with Advanced Melanoma Treated with Immunotherapy.Diagnostics (Basel, Switzerland) · 2023Review
- Mapping optical scattering properties to physical particle information in singly and multiply scattering samples.Biomedical optics express · 2023Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
Abstract
The current gold standard for clinical diagnosis of melanoma is excisional biopsy and histopathologic analysis. Approximately 15-30 benign lesions are biopsied to diagnose each melanoma. In addition, biopsies are invasive and result in pain, anxiety, scarring, and disfigurement of patients, which can add additional burden to the health care system. Among several imaging techniques developed to enhance melanoma diagnosis, optical coherence tomography (OCT), with its high-resolution and intermediate penetration depth, can potentially provide required diagnostic information noninvasively. Here, we present an image analysis algorithm, "optical properties extraction (OPE)," which improves the specificity and sensitivity of OCT by identifying unique optical radiomic signatures pertinent to melanoma detection. We evaluated the performance of the algorithm using several tissue-mimicking phantoms and then tested the OPE algorithm on 69 human subjects. Our data show that benign nevi and melanoma can be differentiated with 97% sensitivity and 98% specificity. These findings suggest that the adoption of OPE algorithm in the clinic can lead to improvements in melanoma diagnosis and patient experience. SIGNIFICANCE: This study describes a noninvasive, safe, simple-to-implement, and accurate method for the detection and differentiation of malignant melanoma versus benign nevi.
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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.