A simple fabricated microfluidic chip for urine sample-based bladder cancer detection

2018 ◽  
Vol 28 (11) ◽  
pp. 115011 ◽  
Author(s):  
Chunyang Geng ◽  
Chiyu Li ◽  
Wang Li ◽  
Wo Yan ◽  
Jing Li ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Urine Sample ◽  
Cancer Detection ◽  
Microfluidic Chip

scholarly journals Simultaneous multi-analyte urinary protein assay for bladder cancer detection

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Charles J Rosser ◽  
Yunfeng Dai ◽  
Makito Miyake ◽  
Ge Zhang ◽  
Steve Goodison
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Urinary Protein ◽  
Protein Assay

scholarly journals Development of 3-Hydroxyanthranilic acid-based Integrated Non-invasive Biosensor for Bladder Cancer Detection

2015 ◽  
Vol 26 (2) ◽  
pp. S47-S48
Author(s):  
Yuh-Shyan Tsai ◽  
Yeong-Chin Jou ◽  
Yen-Ping Tsai ◽  
Bin-Da Liu ◽  
Hung-In Lin ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Detection ◽  
Non Invasive ◽  
Hydroxyanthranilic Acid

scholarly journals Antibody-modified hydroxyapatite surfaces for the efficient capture of bladder cancer cells in a patient's urine without recourse to any sample pre-treatment

2017 ◽  
Vol 5 (40) ◽  
pp. 8125-8132 ◽  
Author(s):  
Wei Zhang ◽  
Kai Zhao ◽  
Craig E. Banks ◽  
Ying Zhang
Keyword(s):  
Bladder Cancer ◽  
Cancer Cells ◽  
Urine Sample ◽  
Nanostructured Surfaces ◽  
Bladder Cancer Cells ◽  
Pre Treatment

In this study, we describe a sensitive protocol for the detection of bladder cancer cells in a patient's urine without pre-treatment of the urine sample using antibody-modified hydroxyapatite (HAp) micro/nanostructured surfaces converted from natural seashells under mild biomineralization conditions.

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.

scholarly journals Gender Differences in Pathologic Outcomes At Primary Bladder Cancer Detection

2015 ◽  
Author(s):  
Rahmi Gökhan Ekin ◽  
Zübeyde Yıldırım Ekin ◽  
Gökhan Koç ◽  
Ayşe Gülden Diniz Ünlü ◽  
Yusuf Özlem İlbey ◽  
...  
Keyword(s):  
Gender Differences ◽  
Bladder Cancer ◽  
Cancer Detection ◽  
Primary Bladder ◽  
Primary Bladder Cancer

Assessing the Feasibility and Accuracy of High-resolution Microultrasound Imaging for Bladder Cancer Detection and Staging

2020 ◽  
Vol 77 (6) ◽  
pp. 727-732
Author(s):  
Alberto Saita ◽  
Giovanni Lughezzani ◽  
Nicolò Maria Buffi ◽  
Rodolfo Hurle ◽  
Luciano Nava ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
High Resolution ◽  
Cancer Detection
Sign in / Sign up

Export Citation Format

Share Document