Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment.,Journal of Biophotonics

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Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-03-25 , DOI: 10.1002/jbio.201960241
Shuying Li ₁ , Yifeng Zeng ₁ , William C Chapman ₂ , Mohsen Erfanzadeh ₃ , Sreyankar Nandy ₁ , Matthew Mutch ₂ , Quing Zhu _{1,

4}

Affiliation

The current gold standard diagnostic test for colorectal cancer remains histological inspections of endoluminal neoplasia in biopsy specimens. However, biopsy site selection requires visual inspection of the bowel, typically with a white‐light endoscope. Therefore, this technique is poorly suited to detect small or innocuous‐appearing lesions. We hypothesize that an alternative modality—multiwavelength spatial frequency domain imaging (SFDI)—would be able to differentiate various colorectal neoplasia from normal tissue. In this ex vivo study of human colorectal tissues, we report the optical absorption and scattering signatures of normal, adenomatous polyp and cancer specimens. An abnormal vs. normal adaptive boosting (AdaBoost) classifier is trained to dichotomize tissue based on SFDI imaging characteristics, and an area under the receiver operating characteristic (ROC) curve (AUC) of 0.95 is achieved. We conclude that AdaBoost‐based multiwavelength SFDI can differentiate abnormal from normal colorectal tissues, potentially improving endoluminal screening of the distal gastrointestinal tract in the future.

中文翻译：

基于自适应增强 (AdaBoost) 的多波长空间频域成像和表征，用于离体人类结直肠组织评估。

目前结直肠癌的金标准诊断测试仍然是活检标本中腔内肿瘤的组织学检查。然而，活检部位的选择需要对肠道进行目视检查，通常使用白光内窥镜。因此，该技术不太适合检测小的或无害的病变。我们假设另一种方式——多波长空间频域成像（SFDI）——能够区分各种结直肠肿瘤和正常组织。在这项人类结直肠组织的离体研究中，我们报告了正常、腺瘤性息肉和癌症样本的光学吸收和散射特征。训练异常与正常自适应增强 (AdaBoost) 分类器，根据 SFDI 成像特征对组织进行二分，并获得 0.95 的受试者工作特征 (ROC) 曲线下面积 (AUC)。我们的结论是，基于 AdaBoost 的多波长 SFDI 可以区分异常和正常结直肠组织，有可能改善未来远端胃肠道的腔内筛查。

更新日期：2020-03-25

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