Non-invasive panel tests for gastrointestinal motility monitoring within the MARS-500 Project

doi:10.3748/wjg.v19.i14.2208

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 19, Issue 14

This Article

(0)

(7294)

(11)

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

- Full Article with Cover (PDF)
- Full Article (XML)

Brief Article

World J Gastroenterol. Apr 14, 2013; 19(14): 2208-2216
Published online Apr 14, 2013. doi: 10.3748/wjg.v19.i14.2208

Full Size Figure Download Figure

Figure 1 ¹³C-breath test for the evaluation of gastric emptying rates. Representative ¹³CO₂ excretion kinetic profiles obtained in the ¹³C-breath test for the evaluation of the gastric emptying rates of (A) solids and (B) liquids performed during the Baseline Data Collection period (•) and during the mission simulation (experimental session 1: ◦; experimental session 2: ▪; experimental session 3: ▫).

Citation: Roda A, Mirasoli M, Guardigli M, Simoni P, Festi D, Afonin B, Vasilyeva G. Non-invasive panel tests for gastrointestinal motility monitoring within the MARS-500 Project. World J Gastroenterol 2013; 19(14): 2208-2216
URL: https://www.wjgnet.com/1007-9327/full/v19/i14/2208.htm
DOI: https://dx.doi.org/10.3748/wjg.v19.i14.2208

Roda A, Mirasoli M, Guardigli M, Simoni P, Festi D, Afonin B, Vasilyeva G. Non-invasive panel tests for gastrointestinal motility monitoring within the MARS-500 Project. World J Gastroenterol 2013; 19(14): 2208-2216 [PMID: 23599647 DOI: 10.3748/wjg.v19.i14.2208]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.