Radiomics Multifactorial Biomarker for Pulmonary Nodules
RMBPN
Radiomics and Clinical Variables Can Differentiate Malignant Nodules and Detect Invasive Adenocarcinoma in Pulmonary Nodules: a Multi-center Study
1 other identifier
observational
800
1 country
1
Brief Summary
The investigators aim to investigate the utility of radiomics to differentiate malignant nodules from benign nodules and invasive adenocarcinoma from non-invasive adenocarcinoma.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2018
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 11, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 11, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2019
CompletedFirst Submitted
Initial submission to the registry
March 11, 2019
CompletedFirst Posted
Study publicly available on registry
March 13, 2019
CompletedMarch 13, 2019
January 1, 2019
6 months
March 11, 2019
March 11, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Malignant nodules classifier
Model based on Radiomic that can differentiate malignant nodules from benign nodules.
30 days
Invasive adenocarcinoma classifier
Model based on Radiomic that can differentiate invasive adenocarcinoma from non-invasive adenocarcinoma.
30 days
Study Arms (3)
Training dataset
No interventions
External validation1
No interventions
External validation2
No interventions
Interventions
The high-throughput extraction of large amounts of quantitative image features from medical images
Eligibility Criteria
Patients with pulmonary nodules in the collaborating institutes.
You may qualify if:
- intraoperative frozen section diagnosis and final pathology diagnosis are available
- preoperative standard non-enhanced CT is available
- Pathologically confirmed
You may not qualify if:
- with a previous history of radiation therapy, chemotherapy or biopsy
- the time interval between the CT examination and surgery was more than two weeks
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Maastricht Universitylead
- Affiliated Zhongshan Hospital of Dalian Universitycollaborator
- The Second Affiliated Hospital of Dalian Medical Universitycollaborator
- The Fifth Hospital of Daliancollaborator
Study Sites (1)
Affiliated Zhongshan Hospital of Dalian University
Dalian, Liaoning, 116000, China
Related Publications (1)
Wu G, Woodruff HC, Shen J, Refaee T, Sanduleanu S, Ibrahim A, Leijenaar RTH, Wang R, Xiong J, Bian J, Wu J, Lambin P. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study. Radiology. 2020 Nov;297(2):451-458. doi: 10.1148/radiol.2020192431. Epub 2020 Aug 25.
PMID: 32840472DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 11, 2019
First Posted
March 13, 2019
Study Start
July 11, 2018
Primary Completion
January 11, 2019
Study Completion
February 1, 2019
Last Updated
March 13, 2019
Record last verified: 2019-01