Abstract

We are investigating spectroscopic devices designed to make in vivo cervical tissue measurements to detect pre-cancerous and cancerous lesions. All devices have the same design and ideally should record identical measurements. However, we observed consistent differences among them. An experiment was designed to study the sources of variation in the measurements recorded. Here we present a log additive statistical model that incorporates the sources of variability we identified. Based on this model, we estimated correction factors from the experimental data needed to eliminate the inter-device variability and other sources of variation. These correction factors are intended to improve the accuracy and repeatability of such devices when making future measurements on patient tissue.

Highlights

  • The goal of our group is to develop technology to diagnose pre-cancerous and cancerous cervical lesions with in vivo spectroscopic measurements

  • We present a log additive statistical model that incorporates the sources of variability we identified

  • One issue with with the MDC3 is that the shape and amplitude of the recorded spectra are different across devices for the same target

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Summary

Introduction

The goal of our group is to develop technology to diagnose pre-cancerous and cancerous cervical lesions with in vivo spectroscopic measurements. This technology utilizes reflectance and fluorescence spectroscopy to assess tissue emission intensity at certain excitation, emission and remittance wavelengths [1]. We call the current generation of these devices. #205327 - $15.00 USD Received 23 Jan 2014; revised 13 Mar 2014; accepted 16 Mar 2014; published 25 Mar 2014 (C) 2014 OSA. One issue with with the MDC3 is that the shape and amplitude of the recorded spectra are different across devices for the same target. Device specific “correction factors” are needed to make the measurements consistent across devices

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