Development of prognostic models for resected distal cholangiocarcinoma
Distal cholangiocarcinoma is a biliary malignancy associated with poor oncological outcomes with a 5-year survival rate after surgery from 16% to 39.5%. There’s an urgent need to develop a valid prognostic model that assesses the clinical implications of combination of prognostic indicators for rese...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/694685 |
| Acceso en línea: | http://hdl.handle.net/10803/694685 |
| Access Level: | acceso abierto |
| Palabra clave: | Colangiocarcinoma distal Nomograma Machine learning Rati de ganglis limfàtics Supervivència lliure de recurrència Distal cholangiocarcinoma Nomogram Lymph node ratio Disease free survival 575 |
| Sumario: | Distal cholangiocarcinoma is a biliary malignancy associated with poor oncological outcomes with a 5-year survival rate after surgery from 16% to 39.5%. There’s an urgent need to develop a valid prognostic model that assesses the clinical implications of combination of prognostic indicators for resected distal cholangiocarcinoma, identifying high-risk patients for recurrence. This doctoral thesis is based on two published articles. For the first study, we have developed a nomogram integrating independent prognostic factors to create a prognostic model for recurrence-free survival in distal cholangiocarcinoma. For the second study, A LASSO-regularized Cox regression model was employed for feature selection, examining coefficients' paths and creating a model to predict recurrence. Additionally, a web application was developed to enhance the clinical use of the algorithm. |
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