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Point-of-care oral cytology tool for the screening and assessment of potentially malignant oral lesions.
McRae, Michael P; Modak, Sayli S; Simmons, Glennon W; Trochesset, Denise A; Kerr, A Ross; Thornhill, Martin H; Redding, Spencer W; Vigneswaran, Nadarajah; Kang, Stella K; Christodoulides, Nicolaos J; Murdoch, Craig; Dietl, Steven J; Markham, Roger; McDevitt, John T.
Afiliação
  • McRae MP; Department of Biomaterials, Bioengineering Institute, New York University, New York, New York.
  • Modak SS; Department of Biomaterials, Bioengineering Institute, New York University, New York, New York.
  • Simmons GW; Department of Biomaterials, Bioengineering Institute, New York University, New York, New York.
  • Trochesset DA; Department of Oral and Maxillofacial Pathology, Radiology and Medicine, New York University College of Dentistry, New York, New York.
  • Kerr AR; Department of Oral and Maxillofacial Pathology, Radiology and Medicine, New York University College of Dentistry, New York, New York.
  • Thornhill MH; Department of Oral and Maxillofacial Medicine, Surgery, and Pathology, School of Clinical Dentistry, University of Sheffield, Sheffield, United Kingdom.
  • Redding SW; Department of Comprehensive Dentistry and Mays Cancer Center, The University of Texas Health Science Center at San Antonio, San Antonio, Texas.
  • Vigneswaran N; Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas.
  • Kang SK; Department of Radiology, New York University School of Medicine, New York, New York.
  • Christodoulides NJ; Department of Population Health, New York University School of Medicine, New York, New York.
  • Murdoch C; Department of Biomaterials, Bioengineering Institute, New York University, New York, New York.
  • Dietl SJ; Department of Oral and Maxillofacial Medicine, Surgery, and Pathology, School of Clinical Dentistry, University of Sheffield, Sheffield, United Kingdom.
  • Markham R; SensoDx LLC, Victor, New York.
  • McDevitt JT; SensoDx LLC, Victor, New York.
Cancer Cytopathol ; 128(3): 207-220, 2020 03.
Article em En | MEDLINE | ID: mdl-32032477
BACKGROUND: The effective detection and monitoring of potentially malignant oral lesions (PMOL) are critical to identifying early-stage cancer and improving outcomes. In the current study, the authors described cytopathology tools, including machine learning algorithms, clinical algorithms, and test reports developed to assist pathologists and clinicians with PMOL evaluation. METHODS: Data were acquired from a multisite clinical validation study of 999 subjects with PMOLs and oral squamous cell carcinoma (OSCC) using a cytology-on-a-chip approach. A machine learning model was trained to recognize and quantify the distributions of 4 cell phenotypes. A least absolute shrinkage and selection operator (lasso) logistic regression model was trained to distinguish PMOLs and cancer across a spectrum of histopathologic diagnoses ranging from benign, to increasing grades of oral epithelial dysplasia (OED), to OSCC using demographics, lesion characteristics, and cell phenotypes. Cytopathology software was developed to assist pathologists in reviewing brush cytology test results, including high-content cell analyses, data visualization tools, and results reporting. RESULTS: Cell phenotypes were determined accurately through an automated cytological assay and machine learning approach (99.3% accuracy). Significant differences in cell phenotype distributions across diagnostic categories were found in 3 phenotypes (type 1 ["mature squamous"], type 2 ["small round"], and type 3 ["leukocytes"]). The clinical algorithms resulted in acceptable performance characteristics (area under the curve of 0.81 for benign vs mild dysplasia and 0.95 for benign vs malignancy). CONCLUSIONS: These new cytopathology tools represent a practical solution for rapid PMOL assessment, with the potential to facilitate screening and longitudinal monitoring in primary, secondary, and tertiary clinical care settings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Carcinoma de Células Escamosas / Programas de Rastreamento / Sistemas Automatizados de Assistência Junto ao Leito / Citodiagnóstico / Detecção Precoce de Câncer Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Carcinoma de Células Escamosas / Programas de Rastreamento / Sistemas Automatizados de Assistência Junto ao Leito / Citodiagnóstico / Detecção Precoce de Câncer Tipo de estudo: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article