Can I read Integration of Risk Survival Measures Estimated From Pre- and Posttreatment Computed Tomography Scans Improves Stratification of Patients With Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy on EtoBox?

Integration of Risk Survival Measures Estimated From Pre- and Posttreatment Computed Tomography Scans Improves Stratification of Patients With Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy by Zhicheng Jiao; Hongming Li; Ying Xiao; Charu Aggarwal; Maya Galperin-Aizenberg; Daniel Pryma; Charles B. Simone; Steven J. Feigenberg; Gary D. Kao; Yong Fan is a scholarly article available to read on EtoBox.

What is Integration of Risk Survival Measures Estimated From Pre- and Posttreatment Computed Tomography Scans Improves Stratification of Patients With Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy about?

## Purpose: To predict overall survival of patients receiving stereotactic body radiation therapy (sbrt) for early-stage non-small cell lung cancer (es-nsclc), we developed a radiomic model that integrates risk of death estimates and changes based on pre- and posttreatment computed tomography (ct) scans. we hypothesize this innovation will improve our ability to stratify patients into various oncologic outcomes with greater accuracy. ## Methods and materials: Two cohorts of patients with es-nsclc uniformly treated with sbrt (a median dose of 50 gy in 4-5 fractions) were studied. prediction models were built on a discovery cohort of 100 patients with treatment planning ct scans, and then were applied to a separate validation cohort of 60 patients with pre- and posttreatment ct scans for evaluating their performance. ## Results: Prediction models achieved a c-index up to 0.734 in predicting survival outcomes of the validation cohort. the integration of the pretreatment risk of survival measures (risk-high vs risk-low) and changes (risk-increase vs risk-decrease) in risk of survival measures between the pretreatment and posttreatment scans further stratified the patients into 4 subgro

Author

Zhicheng Jiao; Hongming Li; Ying Xiao; Charu Aggarwal; Maya Galperin-Aizenberg; Daniel Pryma; Charles B. Simone; Steven J. Feigenberg; Gary D. Kao; Yong Fan

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)

Published

2020

Language

EN