Skip to content

Diagnosis of pleural adhesion using dynamic-ventilation CT

Investigation of the diagnostic accuracy for pleural adhesion using dynamic-ventilation CT - Pleural adhesion detected by dynamic-ventilation CT

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-jRCTs072180070
Enrollment
300
Registered
2019-03-20
Start date
2018-01-18
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Pleaural adhesion pleura, adhesion, pleuritis, empyema

Interventions

Undergoing dynamic-ventilation CT
Computed tomography, dynamic-ventilation CT, radiation exposure

Sponsors

Yamashiro Tsuneo
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Patients who are planned to receive a surgical operation by thoracic surgeons 2) Patients who will undergo preoperative chest CT 3) Adult patients (20 years-old or older)

Exclusion criteria

Exclusion criteria: 1) Patients who are younger than 20 years-old, disagree for or withdraw informed consent. 2) Patients who cannot complete dynamic-ventilation CT. 3) Patients who have medical devices in the targeted pleural cavity. 4) Patients who have metallic devices that make severe artifacts on CT

Design outcomes

Primary

MeasureTime frame
1 diagnostic accuracy of dynamic-ventilation CT under free breathing for detecting pleural adhesions, including comparisons and investigations with general chest CT 2 diagnostic accuracy of dynamic-ventilation CT under free breathing for detecting pleural adhesions/invasions by subpleural lung cancer, including comparisons and investigations with general chest CT

Secondary

MeasureTime frame
1 assessment of radiation exposure by dynamic-ventilation CT 2 influence of various lung diseases on respiratory movement 3 diagnostic accuracy of pleural adhesions in patients with probable pleuritis 4 preverance of pleural adhesions and imaging findings 5 characteristics of the patients who cannot be diagnosed with pleural adhesions on dynamic-ventilation CT 6 relationships of the data from dynamic-ventilation CT with conventional pulmonary function tests

Contacts

Public ContactTsuneo Yamashiro

Yokohama City University Hospital

clatsune@yahoo.co.jp+81-45-787-2696

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026