Deep learning based prediction of aortic dissection and its Stanford classification in non-contrast-enhanced CT images

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100052138

Enrollment

Unknown

Registered

2021-10-20

Start date

2022-01-01

Completion date

Unknown

Last updated

2022-06-27

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

Conditions

aortic dissection

Interventions

Gold Standard:Aortic dissection identified by Contrast-enhanced CT angiography or Contrast-enhanced MR angiography or transthoracic echo, transoesophageal echo

Index test:general CT

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Retrospective: Patients with previous CT diagnosis of aortic dissection. Forward-looking: 1. Over 18 years old; 2. Patients with clinical suspicion of aortic dissection and diagnosed with aortic dissection after CTA scan.

Exclusion criteria

Exclusion criteria: Retrospective: 1. Patients with lack of thin-slice CT images or incomplete CT images; 2. Patients with only plain or enhanced CT images. Forward-looking: 1. Patients who are allergic to iodine contrast agent or cannot use iodine contrast agent for enhanced CTA examination; 2. Any patient who causes an accident in the middle of the examination and cannot continue to complete the examination and has an incomplete CT image during the examination.

Design outcomes

Primary

Measure	Time frame
sensitivity;Froc curve;false positive rate;false negative rate;	—

Countries

China

Contacts

Public ContactJin Liang

Huadong Hospital, affiliated to Fudan University

jin_liang@fudan.edu.cn+86 13761148449

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026