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| Name | Class |
|---|---|
| Tianjin Chest Hospital | OTHER |
| Shandong Tumor Hospital | OTHER |
| West China Hospital | OTHER |
| First Affiliated Hospital of Zhejiang University |
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This study aims to investigate the feasibility and efficiency of CT radiomic analysis which serves as a high through-put analytical strategy applied to image big-data resource in evaluating and predicting the response of immunotherapeutics. A multi-center retrospective diagnostic test has been designed for this aim to compare the predictive performance of clinical model, qualitative model incorporating semantic CT features and image-based quantitative radiomic model. The reference standard of therapeutic effect is determined by the latest evaluation result utilizing iRECIST within 365 days after recruited. This study intends to enroll 400 participates who had been diagnosed with advanced somatic solid tumor confirmed by histo- or cyto-pathological examination and were planning to receive immunotherapy.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Monotherapy | Patients who has received mono-therapy of immune checkpoint inhibitor. |
| |
| Combined therapy | Patients who has received immune checkpoint inhibitor combining chemotherapy. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical | Diagnostic Test | Clinical: A diagnostic model incorporating clinical variables (Age, Pathological diagnosis, level of serum tumor biomarkers etc.) |
|
| Measure | Description | Time Frame |
|---|---|---|
| Area Under the receiver operating characteristic curve (ROC) | Area under curve (AUC) of each diagnostic model | 6 months and 1 year since course start (365 days) |
| Measure | Description | Time Frame |
|---|---|---|
| Disease Control Rate | Disease Control Rate of immunotherapy | 6 months and 1 year since course start (365 days) |
| Incidence | Incidence of immune-related adverse events |
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Inclusion Criteria:
Exclusion Criteria:
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Inpatient records in each involved research center from 2017.01.01 to 2019.12.31.
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| Name | Affiliation | Role |
|---|---|---|
| Zhaoxiang Ye, M.D, Ph.D | Tianjin Medical University Cancer Institute and Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tianjin Medical University Cancer Institute And Hospital | Tianjin | Tianjin Municipality | 300060 | China |
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| ID | Term |
|---|---|
| D000077272 | Latent Class Analysis |
| D000097873 | Postmortem Imaging |
| D000097188 | Radiomics |
| ID | Term |
|---|---|
| D016000 | Cluster Analysis |
| D013223 | Statistics as Topic |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
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| OTHER |
| Sun Yat-sen University | OTHER |
| Cancer Institute and Hospital, Chinese Academy of Medical Sciences | OTHER |
| Liaoning Cancer Hospital & Institute | OTHER |
| Hubei Cancer Hospital | OTHER |
| First Affiliated Hospital Xi'an Jiaotong University | OTHER |
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| Semantic | Diagnostic Test | Semantic: A diagnostic model incorporating semantic radiological features (shape, location, border, density etc.) |
|
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| Radiomic | Diagnostic Test | Radiomic: A diagnostic model incorporating quantitative radiomic features (histogram, texture, morphology etc.) |
|
| Through study completion, an average of 1 year |
| D000465 |
| Algorithms |
| D055641 | Mathematical Concepts |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
| D001344 | Autopsy |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D003952 | Diagnostic Imaging |