834 Urine based bladder cancer detection by an electronic nose system: First results of a pilot study

2015 ◽  
Vol 14 (2) ◽  
pp. e834 ◽  
Author(s):  
M. Horstmann ◽  
D. Steinbach ◽  
C. Fischer ◽  
A. Enkelmann ◽  
M-O. Grimm ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Cancer Detection ◽  
Electronic Nose ◽  
First Results ◽  
Electronic Nose System

PD25-03 AN ELECTRONIC NOSE SYSTEM DETECTS BLADDER CANCER IN URINE SPECIMEN: FIRST RESULTS OF A PILOT STUDY

2015 ◽  
Vol 193 (4S) ◽  
Author(s):  
Marcus Horstmann ◽  
Daniel Steinbach ◽  
Claudia Fischer ◽  
Astrid Enkelmann ◽  
Marc-Oliver Grimm ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Electronic Nose ◽  
Urine Specimen ◽  
First Results ◽  
Electronic Nose System

scholarly journals Electronic Nose for Bladder Cancer Detection

2021 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Heena Tyagi ◽  
Emma Daulton ◽  
Ayman S. Bannaga ◽  
Ramesh P. Arasaradnam ◽  
James A. Covington
Keyword(s):  
Bladder Cancer ◽  
Logistic Regression ◽  
Random Forest ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Electronic Nose ◽  
Random Forest Classifier ◽  
Urine Samples ◽  
Sparse Logistic Regression ◽  
High Separation

This study outlines the use of an electronic nose as a method for the detection of VOCs as biomarkers of bladder cancer. Here, an AlphaMOS FOX 4000 electronic nose was used for the analysis of urine samples from 15 bladder cancer and 41 non-cancerous patients. The FOX 4000 consists of 18 MOS sensors that were used to differentiate the two groups. The results obtained were analysed using s MultiSens Analyzer and RStudio. The results showed a high separation with sensitivity and specificity of 0.93 and 0.88, respectively, using a Sparse Logistic Regression and 0.93 and 0.76 using a Random Forest classifier. We conclude that the electronic nose shows potential for discriminating bladder cancer from non-cancer subjects using urine samples.

Electronic nose to distinguish bladder cancer by urinary odour feature: A pilot study

2020 ◽  
Vol 28 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Kazumasa Matsumoto ◽  
Yasukiyo Murakami ◽  
Yuriko Shimizu ◽  
Takahiro Hirayama ◽  
Wataru Ishikawa ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Electronic Nose

scholarly journals A large pilot study on the diagnostic performance of electronic nose in detecting Bladder Cancer

2021 ◽  
Vol 32 ◽  
pp. P26
Author(s):  
L. Di Gianfrancesco ◽  
M. Foti ◽  
M. Ragonese ◽  
G. Palermo ◽  
E. Sacco ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Electronic Nose ◽  
Diagnostic Performance

“Sniffing bladder cancer” – detection of bladder tumours with an electronic nose and ion mobility spectrometry

2018 ◽  
Vol 17 (2) ◽  
pp. e1427
Author(s):  
H. Heers ◽  
J.M. Gut ◽  
A. Hegele ◽  
R. Hofmann ◽  
T. Boeselt ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Electronic Nose ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Bladder Tumours

scholarly journals Improved Non-Invasive Diagnosis of Bladder Cancer with an Electronic Nose: A Large Pilot Study

2021 ◽  
Vol 10 (21) ◽  
pp. 4984
Author(s):  
PierFrancesco Bassi ◽  
Luca Di Gianfrancesco ◽  
Luigi Salmaso ◽  
Mauro Ragonese ◽  
Giuseppe Palermo ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Sensitivity And Specificity ◽  
Electronic Nose ◽  
False Negative ◽  
Cost Effective ◽  
Combination Method ◽  
Non Invasive ◽  
Phase 2 Study ◽  
Sensitivity Specificity

Background: Bladder cancer (BCa) emits specific volatile organic compounds (VOCs) in the urine headspace that can be detected by an electronic nose. The diagnostic performance of an electronic nose in detecting BCa was investigated in a pilot study. Methods: A prospective, single-center, controlled, non-randomized, phase 2 study was carried out on 198 consecutive subjects (102 with proven BCa, 96 controls). Urine samples were evaluated with an electronic nose provided with 32 volatile gas analyzer sensors. The tests were repeated at least two times per sample. Accuracy, sensitivity, specificity, and variability were evaluated using mainly the non-parametric combination method, permutation tests, and discriminant analysis classification. Results: Statistically significant differences between BCa patients and controls were reported by 28 (87.5%) of the 32 sensors. The overall discriminatory power, sensitivity, and specificity were 78.8%, 74.1%, and 76%, respectively; 13/96 (13.5%) controls and 29/102 (28.4%) BCa patients were misclassified as false positive and false negative, respectively. Where the most efficient sensors were selected, the sensitivity and specificity increased up to 91.1% (72.5–100) and 89.1% (81–95.8), respectively. None of the tumor characteristics represented independent predictors of device responsiveness. Conclusions: The electronic nose might represent a potentially reliable, quick, accurate, and cost-effective tool for non-invasive BCa diagnosis.

scholarly journals Improved non-invasive diagnosis of Bladder Cancer: A large pilot study with electronic nose

2020 ◽  
Vol 19 ◽  
pp. e79
Author(s):  
P.F. Bassi ◽  
L. Di Gianfrancesco ◽  
M. Ragonese ◽  
E. Sacco ◽  
G. Palermo ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Pilot Study ◽  
Electronic Nose ◽  
Non Invasive
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