ArticleBritish journal of cancer2018
Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy.
Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- A Comprehensive Review of Margin Identification Methods in Soft Tissue Sarcoma.Current oncology (Toronto, Ont.) · 2025Review
- Cost-effective Mueller matrix microscopy for label-free differentiation of melanoma from normal skin and common skin cancer types.Biomedical optics express · 2025Article
- Intelligent transdermal nanoparticles as synergizing advanced delivery systems for precision therapeutics.Materials today. Bio · 2025Review
- AI-assisted identification of nonmelanoma skin cancer structures based on combined line-field confocal optical coherence tomography and confocal Raman microspectroscopy.Journal of biomedical optics · 2025Article
- Review of Non-Invasive Imaging Technologies for Cutaneous Melanoma.Biosensors · 2025Review
- Intraoperative use of high-speed Raman spectroscopy during soft tissue sarcoma resection.Scientific reports · 2025Article
- Innovations in Skin Cancer Nanotechnology: A Comprehensive Review.Pharmaceutical nanotechnology · 2025Review
- A new non-destructive method to decipher the origin of organic matter in fossils using Raman spectroscopy.RSC advances · 2024Article
- Portable System for In-Clinic Differentiation of Skin Cancers from Benign Skin Lesions and Inflammatory Dermatoses.JID innovations : skin science from molecules to population health · 2024Article
- Integrating generative AI with ABCDE rule analysis for enhanced skin cancer diagnosis, dermatologist training and patient education.Frontiers in medicine · 2024Article
- From Vibrations to Visions: Raman Spectroscopy's Impact on Skin Cancer Diagnostics.Journal of clinical medicine · 2023Review
- An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis.Scientific reports · 2023Article
- A Review Study Toward Clinical and Histopathological Diagnosis Agreement in Skin Diseases.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2022Review
- Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature.Diagnostics (Basel, Switzerland) · 2022Review
- Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging.Biosensors · 2022Article
- Article
- Skin cancer biology and barriers to treatment: Recent applications of polymeric micro/nanostructures.Journal of advanced research · 2022Review
- Emerging Minimally Invasive Technologies for the Detection of Skin Cancer.Journal of personalized medicine · 2021Review
- Melanoma Biomarkers and Their Potential Application for In Vivo Diagnostic Imaging Modalities.International journal of molecular sciences · 2020Review
- Assessment of Raman Spectroscopy for Reducing Unnecessary Biopsies for Melanoma Screening.Molecules (Basel, Switzerland) · 2020Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical diagnosis of early melanoma (Breslow thickness less than 0.8 mm) is crucial to disease-free survival. However, it is subjective and can be exceedingly difficult, leading to missed melanomas, or unnecessary excision of benign pigmented skin lesions. An objective technique is needed to improve the diagnosis of early melanoma.
methodsWe have developed a method to improve diagnosis of (thin) melanoma, based on Raman spectroscopy. In an ex vivo study in a tertiary referral (pigmented lesions) centre, high-wavenumber Raman spectra were collected from 174 freshly excised melanocytic lesions suspicious for melanoma. Measurements were performed on multiple locations within the lesions. A diagnostic model was developed and validated on an independent data set of 96 lesions.
resultsApproximately 60% of the melanomas included in this study were melanomas in situ. The invasive melanomas had an average Breslow thickness of 0.89 mm. The diagnostic model correctly classified all melanomas (including in situ) with a specificity of 43.8%, and showed a potential improvement of the number needed to treat from 6.0 to 2.7, at a sensitivity of 100%.
conclusionThis work signifies an important step towards accurate and objective clinical diagnosis of melanoma and in particular melanoma with Breslow thickness <0.8 mm.
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.