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Feasibility of clinical detection of cervical dysplasia using angle-resolved low coherence interferometry measurements of depth-resolved nuclear morphology.
Ho, Derek; Drake, Tyler K; Smith-McCune, Karen K; Darragh, Teresa M; Hwang, Loris Y; Wax, Adam.
Afiliação
  • Ho D; Department of Biomedical Engineering, Duke University, Durham, NC.
  • Drake TK; Department of Biomedical Engineering, Duke University, Durham, NC.
  • Smith-McCune KK; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA.
  • Darragh TM; Department of Pathology, University of California, San Francisco, San Francisco, CA.
  • Hwang LY; Department of Pediatrics, Division of Adolescent Medicine, University of California, San Francisco, San Francisco, CA.
  • Wax A; Department of Biomedical Engineering, Duke University, Durham, NC.
Int J Cancer ; 140(6): 1447-1456, 2017 03 15.
Article em En | MEDLINE | ID: mdl-27883177
This study sought to establish the feasibility of using in situ depth-resolved nuclear morphology measurements for detection of cervical dysplasia. Forty enrolled patients received routine cervical colposcopy with angle-resolved low coherence interferometry (a/LCI) measurements of nuclear morphology. a/LCI scans from 63 tissue sites were compared to histopathological analysis of co-registered biopsy specimens which were classified as benign, low-grade squamous intraepithelial lesion (LSIL), or high-grade squamous intraepithelial lesion (HSIL). Results were dichotomized as dysplastic (LSIL/HSIL) versus non-dysplastic and HSIL versus LSIL/benign to determine both accuracy and potential clinical utility of a/LCI nuclear morphology measurements. Analysis of a/LCI data was conducted using both traditional Mie theory based processing and a new hybrid algorithm that provides improved processing speed to ascertain the feasibility of real-time measurements. Analysis of depth-resolved nuclear morphology data revealed a/LCI was able to detect a significant increase in the nuclear diameter at the depth bin containing the basal layer of the epithelium for dysplastic versus non-dysplastic and HSIL versus LSIL/Benign biopsy sites (both p < 0.001). Both processing techniques resulted in high sensitivity and specificity (>0.80) in identifying dysplastic biopsies and HSIL. The hybrid algorithm demonstrated a threefold decrease in processing time at a slight cost in classification accuracy. The results demonstrate the feasibility of using a/LCI as an adjunctive clinical tool for detecting cervical dysplasia and guiding the identification of optimal biopsy sites. The faster speed from the hybrid algorithm offers a promising approach for real-time clinical analysis.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Núcleo Celular / Displasia do Colo do Útero / Células Epiteliais / Interferometria Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Núcleo Celular / Displasia do Colo do Útero / Células Epiteliais / Interferometria Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2017 Tipo de documento: Article