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This study aims to develop a predictive model using deep learning and radiomics to assess the likelihood of lymph node metastasis in patients with early-stage esophageal squamous cell carcinoma (ESCC). Lymph node metastasis is a critical factor in determining the treatment approach and prognosis for ESCC patients. By analyzing medical imaging data, we hope to create a non-invasive method that can assist doctors in making more accurate treatment decisions. This research could improve patient outcomes by enabling earlier and more tailored interventions.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| A | A total of 400 patients with early-stage ESCC from our center were divided into training and test sets. |
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| B | A total of 100 patients with early-stage ESCC from other center were defined as external validation |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma | Diagnostic Test | The predictive performance of the model was validated in the test set. The optimal prediction model was determined based on the AUC and ACC. To assess the robustness of the chosen model, ROC analysis was conducted on the external validation set. |
| Measure | Description | Time Frame |
|---|---|---|
| AUC(the area under the curve) values of the model | The performance and clinical relevance of the models were assessed by analyzing the area under the curve (AUC). | 4 years |
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Inclusion Criteria:
Exclusion Criteria:
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The radiomics features that affects the prediction of LNM in early-stage ESCC. All patients with early-stage ESCC from the hospitals
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hao Zheng, MD | Contact | +86 139 1793 6873 | pojunayfy@gmail.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Anhui Medical University | Recruiting | Hefei | Anhui | 230022 | China |
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| ID | Term |
|---|---|
| D008207 | Lymphatic Metastasis |
| ID | Term |
|---|---|
| D009362 | Neoplasm Metastasis |
| D009385 | Neoplastic Processes |
| D009369 | Neoplasms |
| D010335 | Pathologic Processes |
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| D013568 |
| Pathological Conditions, Signs and Symptoms |