Abdominal radiography with artificial intelligence for diagnosis of dyssynergic defecation (DD)

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20210602004

Enrollment

500

Registered

2021-06-02

Start date

2011-01-01

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

dyssynergic defecation constipation constipation abdominal radiography artificial intelligence dyssynergic defecation

Interventions

PAtients with normal colonic transit study , abnormal high resolution anorectal manometry : diagnosed with dyssynergic defecation, and prolonged balloon expulsion test,Patients with normal colonic tr

Diagnostic,Diagnostic

Dyssynergic defecation,normal transit constipation

Eligibility

Sex/Gender

All

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: refractory constipated patient who undergone plain abdominal radiography patient who undergone anorectal manometry and balloon expulsion test

Exclusion criteria

Exclusion criteria: Abnormal defecatory anatomy Previous pelvic and rectal surgery

Design outcomes

Primary

Measure	Time frame
Dyssynergic defecation diagnosis At the model input date convolutional neural networks model	—

Secondary

Measure	Time frame
none none none	—

Countries

Thailand

Contacts

Public ContactPakkapon Rattanachaisit

Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University

pakkapon.r@gmail.com022564265

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026