ArticleCancer prevention research (Philadelphia, Pa.)2017
Prospective Evaluation of Multimodal Optical Imaging with Automated Image Analysis to Detect Oral Neoplasia
Article in Cancer prevention research (Philadelphia, Pa.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders-Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021Pooled it
- Trial
- Development and Evaluation of an Automated Multimodal Mobile Detection of Oral Cancer Imaging System to Aid in Risk-Based Management of Oral Mucosal Lesions.Cancer prevention research (Philadelphia, Pa.) · 2025Article
- Recent advance in early oral lesion diagnosis: the application of artificial intelligence-assisted endoscopy.Frontiers in oncology · 2025Review
- AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.EXCLI journal · 2024Review
- Multimodal optical imaging with real-time projection of cancer risk and biopsy guidance maps for early oral cancer diagnosis and treatment.Journal of biomedical optics · 2023Article
- Mildly dysplastic oral lesions with optically-detectable abnormalities share genetic similarities with severely dysplastic lesions.Oral oncology · 2022Article
- A Systematic Review of Oral Biopsies, Sample Types, and Detection Techniques Applied in Relation to Oral Cancer Detection.Biotech (Basel (Switzerland)) · 2022Review
- Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.British journal of cancer · 2021Review
- Methylene Blue and Proflavine as Intraarterial Marker for Functional Perforazome-Comparative Study.Journal of personalized medicine · 2021Article
- Algorithm to quantify nuclear features and confidence intervals for classification of oral neoplasia from high-resolution optical images.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Repurposing Molecular Imaging and Sensing for Cancer Image-Guided Surgery.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020Review
- Recent Advances and the Potential for Clinical Use of Autofluorescence Detection of Extra-Ophthalmic Tissues.Molecules (Basel, Switzerland) · 2020Review
- Comparative Study Regarding the Properties of Methylene Blue and Proflavine and Their Optimal Concentrations for In Vitro and In Vivo Applications.Diagnostics (Basel, Switzerland) · 2020Review
- Prospective evaluation of oral premalignant lesions using a multimodal imaging system: a pilot study.Head & neck · 2020Article
- Autofluorescence Imaging to Monitor the Progression of Oral Potentially Malignant Disorders.Cancer prevention research (Philadelphia, Pa.) · 2019Article
- Early Diagnosis on Oral and Potentially Oral Malignant Lesions: A Systematic Review on the VELscopeDentistry journal · 2019Review
- Development of an integrated multimodal optical imaging system with real-time image analysis for the evaluation of oral premalignant lesions.Journal of biomedical optics · 2019Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
The 5-year survival rate for patients with oral cancer remains low, in part because diagnosis often occurs at a late stage. Early and accurate identification of oral high-grade dysplasia and cancer can help improve patient outcomes. Multimodal optical imaging is an adjunctive diagnostic technique in which autofluorescence imaging is used to identify high-risk regions within the oral cavity, followed by high-resolution microendoscopy to confirm or rule out the presence of neoplasia. Multimodal optical images were obtained from 206 sites in 100 patients. Histologic diagnosis, either from a punch biopsy or an excised surgical specimen, was used as the gold standard for all sites. Histopathologic diagnoses of moderate dysplasia or worse were considered neoplastic. Images from 92 sites in the first 30 patients were used as a training set to develop automated image analysis methods for identification of neoplasia. Diagnostic performance was evaluated prospectively using images from 114 sites in the remaining 70 patients as a test set. In the training set, multimodal optical imaging with automated image analysis correctly classified 95% of nonneoplastic sites and 94% of neoplastic sites. Among the 56 sites in the test set that were biopsied, multimodal optical imaging correctly classified 100% of nonneoplastic sites and 85% of neoplastic sites. Among the 58 sites in the test set that corresponded to a surgical specimen, multimodal imaging correctly classified 100% of nonneoplastic sites and 61% of neoplastic sites. These findings support the potential of multimodal optical imaging to aid in the early detection of oral cancer.
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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.