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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

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Prognostication for Patients Receiving Palliative Radiation Therapy.

Susan Sun¹, Monica Krishnan², Sara Alcorn¹

¹Department of Radiation Oncology, University of Minnesota, Minneapolis, MN.

Seminars in Radiation Oncology

|March 29, 2023

Summary

Accurate patient prognosis is vital for metastatic disease management. This review examines validated survival prediction models for palliative radiotherapy, aiding clinical decision-making.

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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

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Published on: June 7, 2015

Area of Science:

Oncology
Biostatistics
Palliative Care

Background:

Prognostic estimation is crucial for managing metastatic disease.
Statistical models are used to predict survival in palliative care settings.

Purpose of the Study:

To review validated survival prediction models for palliative radiotherapy outside the brain.
To discuss model selection, performance, validation, and application in clinical decision support.

Main Methods:

Literature review of well-validated survival prediction models.
Analysis of key considerations: statistical model type, performance measures, validation, source populations, time points, and output.

Main Results:

Several validated survival prediction models exist for palliative radiotherapy.
Key factors influencing model utility include performance, validation, and applicability to specific patient populations.

Conclusions:

Survival prediction models are valuable tools for palliative radiotherapy decision-making.
Underutilization highlights the need for decision support aids and integration of patient preferences.