Literature DB >> 29903741

In Vivo Multimodal Optical Imaging: Improved Detection of Oral Dysplasia in Low-Risk Oral Mucosal Lesions.

Eric C Yang1,2, Richard A Schwarz1, Alexander K Lang3, Nancy Bass3, Hawraa Badaoui4, Imran S Vohra1, Katelin D Cherry1, Michelle D Williams5, Ann M Gillenwater4, Nadarajah Vigneswaran3, Rebecca R Richards-Kortum6.   

Abstract

Early detection of oral cancer and oral premalignant lesions (OPL) containing dysplasia could improve oral cancer outcomes. However, general dental practitioners have difficulty distinguishing dysplastic OPLs from confounder oral mucosal lesions in low-risk populations. We evaluated the ability of two optical imaging technologies, autofluorescence imaging (AFI) and high-resolution microendoscopy (HRME), to diagnose moderate dysplasia or worse (ModDys+) in 56 oral mucosal lesions in a low-risk patient population, using histopathology as the gold standard, and in 46 clinically normal sites. AFI correctly diagnosed 91% of ModDys+ lesions, 89% of clinically normal sites, and 33% of benign lesions. Benign lesions with severe inflammation were less likely to be correctly diagnosed by AFI (13%) than those without (42%). Multimodal imaging (AFI+HRME) had higher accuracy than either modality alone; 91% of ModDys+ lesions, 93% of clinically normal sites, and 64% of benign lesions were correctly diagnosed. Photos of the 56 lesions were evaluated by 28 dentists of varied training levels, including 26 dental residents. We compared the area under the receiver operator curve (AUC) of clinical impression alone to clinical impression plus AFI and clinical impression plus multimodal imaging using k-Nearest Neighbors models. The mean AUC of the dental residents was 0.71 (range: 0.45-0.86). The addition of AFI alone to clinical impression slightly lowered the mean AUC (0.68; range: 0.40-0.82), whereas the addition of multimodal imaging to clinical impression increased the mean AUC (0.79; range: 0.61-0.90). On the basis of these findings, multimodal imaging could improve the evaluation of oral mucosal lesions in community dental settings. Cancer Prev Res; 11(8); 465-76. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29903741      PMCID: PMC6082417          DOI: 10.1158/1940-6207.CAPR-18-0032

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  36 in total

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Review 2.  Global epidemiology of oral and oropharyngeal cancer.

Authors:  Saman Warnakulasuriya
Journal:  Oral Oncol       Date:  2008-09-18       Impact factor: 5.337

3.  Evidence-based clinical practice guideline for the evaluation of potentially malignant disorders in the oral cavity: A report of the American Dental Association.

Authors:  Mark W Lingen; Elliot Abt; Nishant Agrawal; Anil K Chaturvedi; Ezra Cohen; Gypsyamber D'Souza; JoAnn Gurenlian; John R Kalmar; Alexander R Kerr; Paul M Lambert; Lauren L Patton; Thomas P Sollecito; Edmond Truelove; Malavika P Tampi; Olivia Urquhart; Laura Banfield; Alonso Carrasco-Labra
Journal:  J Am Dent Assoc       Date:  2017-10       Impact factor: 3.634

4.  Discrimination of benign and neoplastic mucosa with a high-resolution microendoscope (HRME) in head and neck cancer.

Authors:  Peter M Vila; Chan W Park; Mark C Pierce; Gregg H Goldstein; Lauren Levy; Vivek V Gurudutt; Alexandros D Polydorides; James H Godbold; Marita S Teng; Eric M Genden; Brett A Miles; Sharmila Anandasabapathy; Ann M Gillenwater; Rebecca Richards-Kortum; Andrew G Sikora
Journal:  Ann Surg Oncol       Date:  2012-04-11       Impact factor: 5.344

Review 5.  Natural history of potentially malignant oral lesions and conditions: an overview of the literature.

Authors:  Séamus S Napier; Paul M Speight
Journal:  J Oral Pathol Med       Date:  2008-01       Impact factor: 4.253

Review 6.  The limitations of the clinical oral examination in detecting dysplastic oral lesions and oral squamous cell carcinoma.

Authors:  Joel B Epstein; Pelin Güneri; Hayal Boyacioglu; Elliot Abt
Journal:  J Am Dent Assoc       Date:  2012-12       Impact factor: 3.634

7.  Attitudes to biopsy procedures in general dental practice.

Authors:  N Diamanti; A J Duxbury; S Ariyaratnam; T V Macfarlane
Journal:  Br Dent J       Date:  2002-05-25       Impact factor: 1.626

8.  A prevalence study of oral mucosal lesions in an adult Swedish population.

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Journal:  Odontol Revy Suppl       Date:  1976

9.  Common oral lesions found during a mass screening examination.

Authors:  J E Bouquot
Journal:  J Am Dent Assoc       Date:  1986-01       Impact factor: 3.634

10.  High-resolution microendoscopy for the detection of cervical neoplasia in low-resource settings.

Authors:  Mary K Quinn; Tefo C Bubi; Mark C Pierce; Mukendi K Kayembe; Doreen Ramogola-Masire; Rebecca Richards-Kortum
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

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  9 in total

1.  Autofluorescence Imaging to Monitor the Progression of Oral Potentially Malignant Disorders.

Authors:  Katelin D Cherry; Richard A Schwarz; Eric C Yang; Imran S Vohra; Hawraa Badaoui; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca Richards-Kortum
Journal:  Cancer Prev Res (Phila)       Date:  2019-08-26

2.  Intra-operative point-of-procedure delineation of oral cancer margins using optical coherence tomography.

Authors:  Sumsum P Sunny; Sagar Agarwal; Bonney Lee James; Emon Heidari; Anjana Muralidharan; Vishal Yadav; Vijay Pillai; Vivek Shetty; Zhongping Chen; Naveen Hedne; Petra Wilder-Smith; Amritha Suresh; Moni Abraham Kuriakose
Journal:  Oral Oncol       Date:  2019-03-15       Impact factor: 5.337

3.  Feasibility of a Video-Mosaicking Approach to Extend the Field-of-View For Reflectance Confocal Microscopy in the Oral Cavity In Vivo.

Authors:  Gary Peterson; Daniella Karassawa Zanoni; Marco Ardigo; Jocelyn C Migliacci; Snehal G Patel; Milind Rajadhyaksha
Journal:  Lasers Surg Med       Date:  2019-05-08       Impact factor: 4.025

4.  Clinical Evaluation of the Optical Filter for Autofluorescence Glasses for Oral Cancer Curing Light Exposed (GOCCLES®) in the Management of Potentially Premalignant Disorders: A Retrospective Study.

Authors:  Carlo Lajolo; Mariateresa Tranfa; Romeo Patini; Antonino Fiorino; Teresa Musarra; Roberto Boniello; Alessandro Moro
Journal:  Int J Environ Res Public Health       Date:  2022-05-04       Impact factor: 4.614

5.  Fluorescence molecular imaging for identification of high-grade dysplasia in patients with head and neck cancer.

Authors:  Shayan Fakurnejad; Stan van Keulen; Naoki Nishio; Myrthe Engelen; Nynke S van den Berg; Guolan Lu; Andrew Birkeland; Fred Baik; A Dimitrios Colevas; Eben L Rosenthal; Brock A Martin
Journal:  Oral Oncol       Date:  2019-08-12       Impact factor: 5.337

6.  Development of an integrated multimodal optical imaging system with real-time image analysis for the evaluation of oral premalignant lesions.

Authors:  Eric C Yang; Imran S Vohra; Hawraa Badaoui; Richard A Schwarz; Katelin D Cherry; Timothy Quang; Justin Jacob; Alex Lang; Nancy Bass; Jessica Rodriguez; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca R Richards-Kortum
Journal:  J Biomed Opt       Date:  2019-02       Impact factor: 3.170

Review 7.  In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders-Systematic Review and Meta-Analysis.

Authors:  Marta Mazur; Artnora Ndokaj; Divyambika Catakapatri Venugopal; Michela Roberto; Cristina Albu; Maciej Jedliński; Silverio Tomao; Iole Vozza; Grzegorz Trybek; Livia Ottolenghi; Fabrizio Guerra
Journal:  Int J Environ Res Public Health       Date:  2021-11-10       Impact factor: 3.390

8.  Prospective evaluation of oral premalignant lesions using a multimodal imaging system: a pilot study.

Authors:  Eric C Yang; Imran S Vohra; Hawraa Badaoui; Richard A Schwarz; Katelin D Cherry; Justin Jacob; Jessica Rodriguez; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca R Richards-Kortum
Journal:  Head Neck       Date:  2019-10-17       Impact factor: 3.147

9.  Algorithm to quantify nuclear features and confidence intervals for classification of oral neoplasia from high-resolution optical images.

Authors:  Eric C Yang; David R Brenes; Imran S Vohra; Richard A Schwarz; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca R Richards-Kortum
Journal:  J Med Imaging (Bellingham)       Date:  2020-09-21
  9 in total

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