Detection Clinical Trial
Official title:
Fully Automated Pipeline for the Detection and Segmentation of Non-Small Cell Lung Cancer (NSCLC) on CT Images: Quantitative and Qualitative Evaluation
Verified date | November 2019 |
Source | Maastricht University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Accurate segmentation of lung tumor is essential for treatment planning, as well as for monitoring response to therapy. It is well-known that segmentation of the lung tumour by different radiologists gives different results (inter-observer variance). Moreover, if the same radiologist is asked to repeat the segmentation after several weeks, these two segmentations are not identical (intra-observer variance). In this study we aim to develop an automated pipeline that can produce swift, accurate and reproducible lung tumor segmentations.
Status | Active, not recruiting |
Enrollment | 1043 |
Est. completion date | October 31, 2020 |
Est. primary completion date | November 7, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: - Availability of CT scans - Availability of definite diagnosis Exclusion Criteria: - Lack of segmentations |
Country | Name | City | State |
---|---|---|---|
Netherlands | Maastricht University | Maastricht | Limburg |
Lead Sponsor | Collaborator |
---|---|
Maastricht University | Affiliated Zhongshan Hospital of Dalian University, 6 Jiefang street, Dalian 116001, China, Hospital Center Universitaire De Liege, Liege, Belgium., University Hospital RWTH Aachen University, Aachen, Germany., University of California San Francisco, San Francisco, California, CA. |
Netherlands,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Detection of NSCLC on CT scans | Automatic detection of NSCLC tumors | November, 2019 | |
Primary | Segmentation of NSCLC scans | Automatic segmentation of NSCLC tumors | November, 2019 |
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
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