Abstract
Patients with Barrett's esophagus are at an increased risk to develop esophageal cancer and, therefore, undergo regular endoscopic surveillance. Early detection of neoplasia enables endoscopic treatment, which improves outcomes. However, early Barrett's neoplasia is easily missed during endoscopic surveillance. This study investigates multidiameter single fiber reflectance spectroscopy (MDSFR) to improve Barrett's surveillance. Based on the concept of field cancerization, it may be possible to identify the presence of a neoplastic lesion from measurements elsewhere in the esophagus or even the oral cavity. In this study, MDSFR measurements are performed on non-dysplastic Barrett's mucosa, squamous mucosa, oral mucosa, and the neoplastic lesion (if present). Based on logistic regression analysis on the scattering parameters measured by MDSFR, a classifier is developed that can predict the presence of neoplasia elsewhere in the Barrett's segment from measurements on the non-dysplastic Barrett's mucosa (sensitivity 91%, specificity 71%, AUC = 0.77). Classifiers obtained from logistic regression analysis for the squamous and oral mucosa do not result in an AUC significantly different from 0.5.
Original language | English |
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Article number | e202000351 |
Journal | Journal of biophotonics |
Volume | 14 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2021 |
Externally published | Yes |
Funding
Anouk L. Post and Albert J. de Groof contributed equally to this work. This research was supported by the Netherlands Organization for Scientific Research (Technology Foundation STW, iMIT‐ PROSPECT Grant No. 12707) and by the Dutch Cancer Society/Alpe d'HuZes (Project No. 2014‐7009).
Funders | Funder number |
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Dutch Cancer Society/Alpe d'Huzes | 2014‐7009 |
Netherlands Organization for Scientific Research (Technology Foundation STW | 12707 |