The Use of a Novel Optical Algorithm in the Diagnosis of Cervical Pre-Invasive Pathology - A Preliminary Proof of Principal Study

Ram Eitan, Haim Krissi, Yoav Peled, Diana Braslavsky, Liat Binyamin, Yael Peretz-Davidi, Oz Seadia, Ilan Landesman

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To develop a novel optical probe monitoring cervical tissues in real-time and to compare the new imaging technique to actual cervical pathologic findings on resected cone biopsy specimens. Methods: A loop electro-excisional procedure was performed on 15 women with a biopsy diagnosis of dysplasia. The conization specimen was then assessed with the novel optical system and results recorded. The 'normal' and 'abnormal' areas were tested by the optical setup at several points. Extracted parameters were used as the input of the classifier function of a logistic regression algorithm model to assess for system accuracy vs. clinical examination. Results: Ninety-seven samples were taken - forty-five samples from 'abnormal zones' and 42 samples from 'normal zones', as defined by the surgeon. The pathologist diagnosed 58 samples as dysplastic and 39 samples as normal. The novel optical method predicted 58 sample points as abnormal and 39 points as normal. The sensitivity of the system was 90% with a specificity of 77%. The probability of correct differentiation of dysplastic cervical tissue from normal cervical tissue was 85%. Conclusions: The optical probe and the algorithms of image processing in combination with the logistic regression algorithm correlated well with pathology results for cervical dysplasia ex-vivo.

Original languageEnglish
Pages (from-to)523-528
Number of pages6
JournalGynecologic and Obstetric Investigation
Volume81
Issue number6
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Cervical intraepithelial neoplasia
  • Colposcopy
  • Optics

Fingerprint

Dive into the research topics of 'The Use of a Novel Optical Algorithm in the Diagnosis of Cervical Pre-Invasive Pathology - A Preliminary Proof of Principal Study'. Together they form a unique fingerprint.

Cite this