Timing of Radiotherapy in Uveal Melanoma: A SEER-Based Comparison of Preoperative, Postoperative, and Intraoperative Approaches
Abdollahi, M.; Razmjooei, F.; Ashayeri, H.; Semnani, F.; Jafarizadeh, A.; Fekrazad, S.; Meshkin, R. S.; Arevalo, J. F.
Show abstract
Purpose: To analyze the effect of radiotherapy timing relative to surgery on patients' survival and mortality rates in uveal melanoma (UM). Design: Retrospective cohort study using registry data from the Surveillance, Epidemiology, and End Results (SEER) database. Subjects: A total of 1,198 patients with UM were extracted from the SEER database and divided into three groups: preoperative radiotherapy, intraoperative radiotherapy (IORT), and postoperative radiotherapy. Methods: UM cases were extracted from the SEER database. Survival curves were generated based on the Kaplan-Meier method. An extended Cox regression was used to estimate the cancer-specific and all-cause mortality. Main Outcome Measures: Overall survival (including median survival) and hazard reductions for cancer-specific and all-cause mortality. Results: Preoperative radiotherapy revealed the highest median survival (4.93 years), followed by postoperative radiotherapy (4.76 years), and IORT (4.02 years). The preoperative strategy reduced the hazard of all-cause mortality by 42%, 50%, and 60% at 5-, 7-, and 10-year follow-up, respectively, compared with IORT. Findings were consistent in the cancer-specific sensitivity analysis (45%, 53%, and 62% reductions at the same time points). However, postoperative radiotherapy did not significantly reduce the cancer-specific mortality in comparison to IORT. Conclusions: Preoperative radiotherapy was associated with higher median overall survival and lower all-cause and cancer-specific mortality than IORT over 10 years of follow-up. Postoperative radiotherapy showed intermediate outcomes that did not differ significantly from IORT. Prospective studies with more detailed data on the temporal relation of radiotherapy timing and surgery are needed to confirm these findings.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Curability Difference between Autochthonous Mouse Tumors and Their Transplants in Association with Immune Gene Expression 92%
- Survival benefit of adjuvant therapy following neoadjuvant therapy in patients with resected esophageal cancer: a retrospective cohort study 92%
- Predictive factors for the development of peritumoral brain edema after LINAC-based radiation treatment in patients with intracranial meningioma 92%
Similar papers in this journal
- Inequalities in the decline and recovery of pathological cancer diagnoses during the first six months of the COVID-19 pandemic: a population-based study 89%
- Automatic Retinoblastoma Screening and Surveillance Using Deep Learning 88%
- Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer 88%
Similar papers in this journal
Similar papers in this journal
- Impact of Prior Cancer on Outcomes in Nasopharyngeal Carcinoma 91%
- Total nodule number is an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning powered study 87%
- Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study 86%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.