Vibrational spectroscopy detection of HPV in urine samples (P 2 - Fr)

• Research type

  Research Study

• Full title

  Evaluation of Artificial intelligence to Screen & Triage Effectively to Reduce cervical cancer (‘EASTER’) A novel, one stop, affordable, point of care and artificial intelligence supported system of screening, triage and treatment selection for cervical cancer and precancer in the LMICs

• IRAS ID

  324719

• Contact name

  Ihtesham Ur Rehman

• Contact email

  iurehman@uclan.ac.uk

• Sponsor organisation

  University of Central Lancashire

• Duration of Study in the UK

  5 years, 0 months, 1 days

• Research summary

  There is an urgent need to develop and evaluate a rapid, feasible, effective, and acceptable method of screening, triaging and treatment selection in unscreened women that is both affordable and point of care as the existing technologies have several limitations specially in the context of the Low to Middle Income Countries (LMICs).
  The research aims to detect HPV in urine collected from women. Fourier transform infrared spectroscopy (FTIR) and a previously trained machine learning algorithm will be used, with the objective of establish the repeatability of the algorithms classifications.

  A combination of new and existing technology has contrived to offer a solution to the difficulty of providing a complete system of cervical pre-cancer care, particularly in LMIC. The protocol we propose will: a) screen women by examining a urine drop for presence of hr-HPV with a benchtop spectroscope without any pre-processing, and the spectroscopic signals will be interpreted by artificial intelligence (AI) computational analysis to detect hr-HPV; b) Screen positive women will then be examined with the n-GynTM system to capture images with the n-AVE device, and the cervical images will be interpreted by AI computational analysis on a tablet (Meditab) to detect high grade precancers/cancer, determine TZ type and advise treatment method choice.

• REC name

  East Midlands - Derby Research Ethics Committee

• REC reference

  23/EM/0156

• Date of REC Opinion

  1 Aug 2023

• REC opinion

  Further Information Favourable Opinion