Toward improved endoscopic surveillance with multidiameter single fiber reflectance spectroscopy in patients with Barrett's esophagus,Journal of Biophotonics

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Toward improved endoscopic surveillance with multidiameter single fiber reflectance spectroscopy in patients with Barrett's esophagus
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2021-01-07 , DOI: 10.1002/jbio.202000351
Anouk L Post _{1,

2} , Albert J de Groof ₃ , Xu U Zhang ₁ , Anne-Fré Swager ₃ , Kiki N Fockens ₃ , Roos E Pouw ₃ , Bas L A M Weusten _{4,

5} , Dirk J Faber ₁ , Daniel M de Bruin ₁ , Jacques J G H M Bergman ₃ , Ton G van Leeuwen ₁ , Henricus J C M Sterenborg _{1,

2} , Wouter L Curvers ₆

Affiliation

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.

中文翻译：

通过多直径单纤维反射光谱法改善Barrett食管患者的内窥镜监测

患有Barrett食道的患者罹患食道癌的风险增加，因此需要定期进行内窥镜检查。早期发现瘤形成可以进行内窥镜治疗，从而改善预后。但是，在内窥镜检查中很容易错过早期的Barrett瘤形成。这项研究调查了多直径单纤维反射光谱（MDSFR），以改善Barrett的监视。基于野外癌变的概念，有可能通过食道甚至口腔其他部位的测量来确定肿瘤病变的存在。在这项研究中，对非增生性Barrett粘膜，鳞状粘膜，口腔粘膜和赘生性病变（如果存在）进行MDSFR测量。基于对MDSFR测量的散射参数的逻辑回归分析，开发了一种分类器，该分类器可以通过对非增生性Barrett粘膜的测量来预测Barrett区段其他部位的肿瘤形成（敏感性91％，特异性71％，AUC = 0.77 ）。通过Logistic回归分析获得的鳞状和口腔粘膜分类器的AUC值与0.5的差异不显着。

更新日期：2021-01-07

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