ESTRO 2024 - Abstract Book

S2174

Clinical - Upper GI

ESTRO 2024

Keywords: Palliative care, pancreatic cancer, SBRT

References:

Lawrence Y, Miszczyk M, Dawson LA, Barry AS, Pardo DD, Aguiar A, Limon D, Pfeffer RM, Buckstein M, Gnessin H, Fluss R. Celiac Plexus Radio-Surgery for Pain Management in Advanced Cancer: An International Phase II Trial. International Journal of Radiation Oncology, Biology, Physics. 2022 Dec 1;114(5):1060-1. Lawrence YR, Miszczyk M, Barry AS, Diaz Pardo DA, Aguiar A, Limon D, Pfeffer RM, Buckstein M, Margalit O, Meron T, Dicker AP. Celiac plexus radiosurgery for pain management in advanced cancer: An international phase II trial, health-related quality of life (HRQOL) outcomes. Journal of Clinical Oncology 2023 41:16_suppl, e16293 Temel JS, Greer JA, Muzikansky A, Gallagher ER, Admane S, Jackson VA, Dahlin CM, Blinderman CD, Jacobsen J, Pirl WF, Billings JA. Early palliative care for patients with metastatic non – small-cell lung cancer. New England Journal of Medicine. 2010 Aug 19;363(8):733-42.

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Digital Poster

Predicting Overall Survival for Patients Who Underwent Adjuvant Chemoradiotherapy for Gastric Cancer

Melek Tugce Yilmaz 1 , Pervin Hurmuz 1 , Osman Dag 2 , Ecem Yigit 1 , Yasin Ozyure 1 , Hanife Avci 2 , Mustafa Cengiz 1

1 Hacettepe University, Radiation Oncology, Ankara, Turkey. 2 Hacettepe University, Biostatistics, Ankara, Turkey

Purpose/Objective:

In gastric cancer, a range of nomograms are available to predict survival rates and the likelihood of recurrence. However, there is a lack of studies that have made predictions about the overall survival (OS) of patients who have undergone adjuvant chemoradiotherapy (CRT). The objective of this study was to construct a predictive model for estimating the survival outcomes of gastric cancer patients who had adjuvant CRT.

Material/Methods:

The medical records of 245 patients with non-metastatic gastric cancer who were administered RT or CRT in our center from January 2010 to December 2020 were retrospectively evaluated. A nomogram was developed based on multiple cox proportional regression for clinicians to use as a quantitative instrument for estimating the survival probability of individuals diagnosed with gastric cancer. R statistical and computing software (Version 4.3.0) were used for all analyses.