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Author
Carolina Malagelada; Michal Drozdzal; Santiago Segui; Sara Mendez; Jordi Vitria; Petia Radeva; Javier Santos; Anna Accarino; Juan R. Malagelada; Fernando Azpiroz
Title
Classification of functional bowel disorders by objective physiological criteria based on endoluminal image analysis
Type
Journal Article
Year
2015
Publication
American Journal of Physiology-Gastrointestinal and Liver Physiology
Abbreviated Journal
AJPGI
Volume
309
Issue
6
Pages
G413--G419
Keywords
capsule endoscopy; computer vision analysis; functional bowel disorders; intestinal motility; machine learning
Abstract
We have previously developed an original method to evaluate small bowel motor function based on computer vision analysis of endoluminal images obtained by capsule endoscopy. Our aim was to demonstrate intestinal motor abnormalities in patients with functional bowel disorders by endoluminal vision analysis. Patients with functional bowel disorders (n = 205) and healthy subjects (n = 136) ingested the endoscopic capsule (Pillcam-SB2, Given-Imaging) after overnight fast and 45 min after gastric exit of the capsule a liquid meal (300 ml, 1 kcal/ml) was administered. Endoluminal image analysis was performed by computer vision and machine learning techniques to define the normal range and to identify clusters of abnormal function. After training the algorithm, we used 196 patients and 48 healthy subjects, completely naive, as test set. In the test set, 51 patients (26%) were detected outside the normal range (P < 0.001 vs. 3 healthy subjects) and clustered into hypo- and hyperdynamic subgroups compared with healthy subjects. Patients with hypodynamic behavior (n = 38) exhibited less luminal closure sequences (41 ± 2% of the recording time vs. 61 ± 2%; P < 0.001) and more static sequences (38 ± 3 vs. 20 ± 2%; P < 0.001); in contrast, patients with hyperdynamic behavior (n = 13) had an increased proportion of luminal closure sequences (73 ± 4 vs. 61 ± 2%; P = 0.029) and more high-motion sequences (3 ± 1 vs. 0.5 ± 0.1%; P < 0.001). Applying an original methodology, we have developed a novel classification of functional gut disorders based on objective, physiological criteria of small bowel function.
Address
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American Physiological Society
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Series Issue
Edition
ISSN
ISBN
Medium
Area
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Conference
Notes
MILAB; OR;MV
Approved
no
Call Number
Admin @ si @ MDS2015
Serial
2666
Permanent link to this record
Author
Mirko Arnold; Anarta Ghosh; Stephen Ameling; G Lacey
Title
Automatic segmentation and inpainting of specular highlights for endoscopic imaging
Type
Journal Article
Year
2010
Publication
EURASIP Journal on Image and Video Processing
Abbreviated Journal
EURASIP JIVP
Volume
2010
Issue
9
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
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Series Issue
Edition
ISSN
ISBN
Medium
Area
800
Expedition
Conference
Notes
MV
Approved
no
Call Number
fernando @ fernando @
Serial
2423
Permanent link to this record
Author
Rozenn Dhayot; Fernando Vilariño; Gerard Lacey
Title
Improving the Quality of Color Colonoscopy Videos
Type
Journal Article
Year
2008
Publication
EURASIP Journal on Image and Video Processing
Abbreviated Journal
EURASIP JIVP
Volume
139429
Issue
1
Pages
1-9
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
800
Expedition
Conference
Notes
MV;SIAI
Approved
no
Call Number
fernando @ fernando @
Serial
2422
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