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| Name | Class |
|---|---|
| University of California, San Francisco | OTHER |
| Radboud University Medical Center | OTHER |
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Lung cancer remains the leading cause of cancer related mortality worldwide, with more than 1.5 million related deaths annually. Lung cancer is divided into two main groups: Small Cell Lung Carcinoma (SCLC) and Non-Small Cell Lung Carcinoma (NSCLC), with prevalence of ~20% and 80% respectively. NSCLC is further subdivided into adenocarcinoma (the most common), squamous cell carcinoma (SCC), and large cell carcinoma. Furthermore, each subtype is likely to have specific mutations, which could be targeted for treatment.
Medical imaging and radiomics feature extraction represent a candidate alternative to conventional tissue biopsy, a theory that is investigated in this study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Maastro (Lung1) | Open source dataset available at TCIA.org. The cohort includes CT scans of 422 patients diagnosed with NSCLC. |
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| UCSF | A cohort of patients diagnosed with NSCLC at UCSF medical center. It includes CT scans of 165 patients. |
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| Radboud | A cohort of patients diagnosed with NSCLC at Radboud medical center. It includes CT scans of 255 patients. |
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| Stanford | Open source dataset available at TCIA.org. The cohort includes CT scans of 211 patients diagnosed with NSCLC. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Virtual biopsy | Diagnostic Test | Radiomics -the high throughput extraction of quantitative features from medical imaging- extract features that might potentially decode biologic tumor information, which might ultimately reduce the need to use invasive procedure, such as tissue biopsy. |
| Measure | Description | Time Frame |
|---|---|---|
| Lung histology | Is the tumor under investigation an adenocarcinoma of the lung? | December 2019 |
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Inclusion Criteria:
Exclusion Criteria:
-
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Patients diagnosed with NSCLC, who further underwent tissue biopsy to determine tumor histology.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Maastricht University | Maastricht | Limburg | 6229ER | Netherlands |
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| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
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| D013899 |
| Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |