System transferability of Raman-based oesophageal tissue classification using modern machine learning to support multi-centre clinical diagnostics.

ABSTRACT:

Background

The clinical potential of Raman spectroscopy is well established but has yet to become established in routine oncology workflows. One barrier slowing clinical adoption is a lack of evidence demonstrating that data taken on one spectrometer transfers across to data taken on another spectrometer to provide consistent diagnoses.

Methods

We investigated multi-centre transferability using human oesophageal tissue. Raman spectra were taken across three different centres with different spectrometers of the same make and model. By using a common protocol, we aimed to minimise the difference in machine learning performance between centres.

Results

61 oesophageal samples from 51 patients were interrogated by Raman spectroscopy at each centre and classified into one o

SUBMITTER: Blake N 

PROVIDER: S-EPMC11523930 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature