Despite the numerous available clinical investi-gation tests, the associated alteration of quality of life and the socio-economic cost, it remains difficult for physicians to identify the pathophysiological origins of defecation disorders and therefore to provide the appropriate clinical care. Based on standardized dynamic X-ray defecography, we developed a 2D patient-specific computational fluid dynamic model of rectal evacuation. X-ray defecography was carried out in a sitting position with a standardized paste whose yield stress matched that of soft human feces. The flow was simulated with lattice-Boltzmann methods for yield stress fluids and moving boundary conditions. The model was applied for a patient with a normal recto-anal function. We deduced from the flow field that the main flow resistance during the defecation was due to the extrusion of the paste through the anal canal. We calculated also from pressure and stress fields the spatio-temporal evolution of the wall normal stress. This latter highlighted a gradient from the proximal to the distal part of the rectum. We discussed how this new set of hydrodynamical and biome-chanical parameters could be interpreted to gain new insights on the physiology of defecation and to diagnose underlying evacuation disorders. Clinical relevance - If confirmed, our approach should allow clinicians to obtain other parameters from a classic clinical examination and thus better adapt the response of clinicians to the defecation disorders observed in patients.
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http://dx.doi.org/10.1109/EMBC48229.2022.9871240 | DOI Listing |
J Imaging
November 2024
Department of Radiology, Maternal-Child, Senological, Cardiological Radiology and Outpatient Ultrasound, University Hospital of Marche, 60126 Ancona, Italy.
Magnetic resonance (MR) defecography, including both static and dynamic phases, is frequently requested by gastroenterologists and colorectal surgeons for planning the treatment of obstructive defecation syndrome and pelvic organ prolapse. However, reports often lack key information needed to guide treatment strategies, making management challenging and, at times, controversial. It has been hypothesized that using structured radiology reports could reduce missing information.
View Article and Find Full Text PDFActa Radiol
November 2024
Department of Diagnostic Radiology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Eur J Radiol
December 2024
Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Eur J Radiol
December 2024
Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China. Electronic address:
Medicine (Baltimore)
September 2024
Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
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