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In gastroenterology, studies are ongoing on colon cancer, Barrett’s Esophagus, fasting, and pancreas carcinoma.
Papers and conference proceeding can be found below.
Improved diagnostics for pancreatic diseases are badly needed. An electronic nose (AeoNose™) analysing exhaled breath was successfully used to distinguish between pancreas carcinoma, chronic pancreatitis (inflammation of the pancreas), and healthy controls: promising results from a multicenter pilot study in the Netherlands.
At the Digestive Disease Week in San Diego, 4 posters were presented discussing ongoing clinical studies with the Aeonose for exhaled-breath analysis:
Mo1003 — 2019 AGA
BREATH ANALYSIS CAN BE USED TO DETECT COLORECTAL CANCER AND ADVANCED ADENOMAS: PROOF-OF-PRINCIPLE STUDY
Kelly v. Keulen1, Maud E. Jansen2, Ruud W. Schrauwen3, J.J. Kolkman2,4, Peter D. Siersema1
Sa1136 — 2019 AGA Poster of Distinction
DETECTION OF BARRETT’S ESOPHAGUS THROUGH EXHALED BREATH USING A NON-INVASIVE SCREENING TOOL
Yonne Peters1, Ruud W. Schrauwen2, A.C. Tan3, Sanne Bogers2, Bart de Jong1, Peter D. Siersema1
Sa1153 — 2019 AGA
NON-INVASIVE SCREENING FOR BARRETT’S ESOPHAGUS USING AN ELECTRONIC NOSE
Juan Reyes Genere1, Kavel Visrodia2, Liam Zakko3, Bryan Linn1, Magdalen A. Clemens1, James Allen1, Lori S. Lutzke1, Kenneth K. Wang1
Mo2053 — 2019 AGA
PRE-PROCEDURAL ASSESSMENT OF THE FASTING STATE BY EXHALED VOLATILE ORGANIC COMPOUNDS USING AN ELECTRONIC NOSE
Juan Reyes Genere1, Liam Zakko2, Kavel Visrodia3, Magdalen A. Clemens1, James Allen1, Bryan Linn1, Lori S. Lutzke1, Kenneth K. Wang1
Pilot Study: Detection of Gastric Cancer From Exhaled Air Analyzed With an Electronic Nose in Chinese Patients
Valérie N. E. Schuermans, MD, PhD1 
, Ziyu Li, MD, PhD2,
Audrey C. H. M. Jongen, MD1,3, Zhouqiao Wu, MD, PhD2,
Jinyao Shi, MD, PhD2, Jiafu Ji, MD, PhD2, and Nicole D. Bouvy, MD, PhD1,3
Abstract
The aim of this pilot study is to investigate the ability of an electronic nose (e-nose) to distinguish malignant gastric histology from healthy controls in exhaled breath. In a period of 3 weeks, all preoperative gastric carcinoma (GC) patients (n = 16) in the Beijing Oncology Hospital were asked to participate in the study. The control group (n = 28) consisted of family members screened by endoscopy and healthy volunteers. The e-nose consists of 3 sensors with which volatile organic compounds in the exhaled air react. Real-time analysis takes place within the e-nose, and binary data are exported and interpreted by an artificial neuronal network. This is a self-learning computational system. The inclusion rate of the study was 100%. Baseline characteristics differed significantly only for age: the average age of the patient group was 57 years and that of the healthy control group 37 years (P value = .000). Weight loss was the only significant different symptom (P value = .040). A total of 16 patients and 28 controls were included; 13 proved to be true positive and 20 proved to be true negative. The receiver operating characteristic curve showed a sensitivity of 81% and a specificity of 71%, with an accuracy of 75%. These results give a positive predictive value of 62% and a negative predictive value of 87%. This pilot study shows that the e-nose has the capability of diagnosing GC based on exhaled air, with promising predictive values for a screening purpose.
At the Digestive Disease Week (DDW) in Washington DC, held June 2-5 2018, the following topics were presented on Aeonose breath analysis studies:
Uslu HI, Dolle AR, Van Dullemen HM, Aktas H, Kolkman JJ, Venneman NG, ‘An electronic nose differentiates pancreatic ductal adenocarcinoma from chronic pancreatitis: A multicenter study.’, Digestive Disease Days, Veldhoven, October 2017.
Zakko L, Chan DK, Visrodia K, Clemens MA, Allen J, Lutzke, LS, Leggett CL, Wang KK, ‘Determination of fasting-state by non-invasive breath screening of exhaled volatile organic compounds using an electronic-nose device’, DDW, Chicago, May 2017.
Visrodia K, Zakko L, Allen J, Lutzke L, Clemens M, Wang KK, ‘Developing a Screening Test for Barrett’s Esophagus Using Electronic Nose Device Analysis of Exhaled Volatile Organic Compounds’, World Congress of Gastroenterology @ACG2017, Orlando, October 2017.
Zakko L, Chan DK, Visrodia K, Clemens MA, Allen J, Lutzke, LS, Leggett CL, Wang KK, ‘Detection of Barrett’s Esophagus via electronic-nose device analysis of exhaled volatile organic compounds in breath samples’, DDW, Chicago, May 2017.
New paper available on Breath Analysis with Aeonose on Barrett’s Esophagus by Daniel K Chan et al, Mayo Clinic Rochester Minnesota.
fecal VOC analysis with Aetholab
“In our own experience, we used the Aetholab, a commercial electronic nose device (The eNose Company, Zutphen, Netherlands) in a preliminary study of 20 C. difficile PCR-positive stool and 53 C. difficile PCR-negative stool. In a similar approach using an artificial neural network for pattern recognition, we were able to classify the stool with 80% sensitivity, 85% specificity, and 84% accuracy.”
