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A study on predictive modeling of ideal placement depth of internal jugular vein catheter based on intracavitary electrocardiographic localization and chest CT validation

A study on predictive modeling of ideal placement depth of internal jugular vein catheter based on intracavitary electrocardiographic localization and chest CT validation

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105050
Enrollment
Unknown
Registered
2025-06-27
Start date
2025-07-01
Completion date
Unknown
Last updated
2025-09-15

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

Conditions

Esophageal cancer, liver cancer

Interventions

Observation group:None

Sponsors

Chongqing university cancer hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.ASA I-III; 2.Age greater than 18 years old; 3.Postoperative chest CT examination is required due to medical condition.

Exclusion criteria

Exclusion criteria: 1.Infection or severe deformity at the puncture site; 2.with severe bleeding/coagulation disorders; 3.internal jugular vein thrombosis and anatomical variations; 4.installation of a pacemaker or unobservable P-waves on the ECG; 5.uncooperative or refusal to perform internal jugular vein puncture.

Design outcomes

Primary

MeasureTime frame
The vertical distance from the Insertion Point to the line connecting the two nipples;Catheter depth at maximum amplitude of P-wave;Distance from Insertion Point to sternal (medial) head;The vertical distance from sternal head to the line connecting the two nipples;Distance from mandibular angle to sternal head;Distance from Insertion Point to Mandibular Angle;Catheter depth at the onset of variation of the P-wave;The distance from the puncture point to the sternal stem;

Countries

China

Contacts

Public ContactQi Chen

Chongqing university cancer hospital

mozzie0518@cqu.edu.cn+86 15123864518

Outcome results

None listed

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