Standardization of the MRI scanning method in the diagnosis of N-factor in primary lung cancer

Standardization of the MRI scanning method in the diagnosis of N-factor in primary lung cancer - Standardization of the MRI scanning method in the diagnosis of N-factor in primary lung cancer

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000016312

Enrollment

300

Registered

2015-01-23

Start date

2014-08-28

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

primary lung cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Patients planned for surgery with diagnosis of primary lung cancer or suspected. 2) Aged 20 or older 3) All subjects must be fully informed about the study and give consent 4) The patient who carries out FDG-PET/CT within 2 months scheduled date of surgery.

Exclusion criteria

Exclusion criteria: 1) Patients who was already enrolled in this study 2) Patient of contraindication to an MRI (e.g. after implantation of a pacemaker) 3) Patient who couldn't carry out FDG-PET/CT before the oparation 4) Patient with a history of an operation of primary lung cancer 5) Patient with a history of radiation irradiation to a thorax 6) During medication by diabetes or blood glucose level >=150mg/dL 7) Pregnant, parturient, or breastfeeding women 8) Patients who was diagnosis of small cell lung cancer, a benign tumor, and other nonneoplastic diseases in pathology organizational diagnosis 9) Any others judged ineligible as a subject by the investigator/sub-investigator

Design outcomes

Primary

Measure	Time frame
The diagnostic accuracy of N-factor (N0/1/2) is compared between MRI imaging (DWI, STIR) and FDG-PET/CT for each referring the pathological diagnosis as gold standards.	—

Countries

Japan

Contacts

Public ContactHidetake Yabuuchi

Kyusyu University Department of Health Sciences

h-yabu@med.kyushu-u.ac.jp092-642-6727

Outcome results