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ACS Sens

Title:		Artificially Intelligent Olfaction for Fast and Noninvasive Diagnosis of Bladder Cancer from Urine
Author(s):		Jian Y; Zhang N; Liu T; Zhu Y; Wang D; Dong H; Guo L; Qu D; Jiang X; Du T; Zheng Y; Yuan M; Fu X; Liu J; Dou W; Niu F; Ning R; Zhang G; Fan J; Haick H; Wu W;
Address:		"School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Xi'an 710126, China. Department of Urology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China. Interdisciplinary Research Center of Smart Sensors, Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710126, China. Intelligent Perception Research Institute, Zhejiang Lab, Hangzhou 311100, China. Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel. The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518033, China. College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China. Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China"
Journal Title:		ACS Sens
Year:		2022
Volume:		20220525
Issue:		6
Page Number:		1720 - 1731
DOI:		10.1021/acssensors.2c00467
ISSN/ISBN:		2379-3694 (Electronic) 2379-3694 (Linking)
Abstract:		"Globally, bladder cancer (BLC) is one of the most common cancers and has a high recurrence and mortality rate. Current clinical diagnostic approaches are either invasive or inaccurate. Here, we report on a cost-efficient, artificially intelligent chemiresistive sensor array made of polyaniline (PANI) derivatives that can noninvasively diagnose BLC at an early stage and maintain postoperative surveillance through ''smelling'' clinical urine samples at room temperature. In clinical trials, 18 healthy controls and 76 BLC patients (60 and 16 at early and advanced stages, respectively) are assessed by the artificial olfactory system. With the assistance of a support vector machine (SVM), very high sensitivity and accuracy from healthy controls are achieved, exceeding those obtained by the current techniques in practice. In addition, the recurrences of both early and advanced stages are diagnosed well, with the effect of confounding factors on the performance of the artificial olfactory system found to have a negligible influence on the diagnostic performance. Overall, this study contributes a novel, noninvasive, easy-to-use, inexpensive, real-time, accurate method for urine disease diagnosis, which can be useful for personalized care/diagnosis and postoperative surveillance, resulting in saving more lives"
Keywords:		Humans Smell *Urinary Bladder Neoplasms/diagnosis bladder cancer electronic nose sensor array urine volatile organic compound;
Notes:		"MedlineJian, Yingying Zhang, Nan Liu, Taoping Zhu, Yujin Wang, Di Dong, Hao Guo, Lihao Qu, Danyao Jiang, Xue Du, Tao Zheng, Youbin Yuan, Miaomiao Fu, Xuemei Liu, Jinmei Dou, Wei Niu, Fang Ning, Ruizhi Zhang, Guangjian Fan, Jinhai Haick, Hossam Wu, Weiwei eng Research Support, Non-U.S. Gov't 2022/05/26 ACS Sens. 2022 Jun 24; 7(6):1720-1731. doi: 10.1021/acssensors.2c00467. Epub 2022 May 25"