| Autor: |
N. Patrik Brodin, Christian Velten, Jonathan Lubin, Jeremy Eichler, Shaoyu Zhu, Sneha Saha, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tomé, Madhur K. Garg, Rafi Kabarriti |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Physics and Imaging in Radiation Oncology, Vol 21, Iss , Pp 72-77 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2405-6316 |
| DOI: |
10.1016/j.phro.2022.02.005 |
| Popis: |
Background and purpose: Disease recurrence and distant metastases (DM) are major concerns for oropharyngeal cancer (OPC) patients receiving definitive chemo-radiotherapy. Here, we investigated whether pre-treatment primary tumor positron emission tomography (PET) features could predict progression-free survival (PFS) or DM. Methods and materials: Primary tumors were delineated on pre-treatment PET scans for patients treated between 2005 and 2018 using gradient-based segmentation. Radiomic image features were extracted, along with SUV metrics. Features with zero variance and strong correlation to tumor volume, stage, p16 status, age or smoking were excluded. A random forest model was used to identify features associated with PFS. Kaplan-Meier methods, Cox regression and logistic regression with receiver operating characteristics (ROC) and 5-fold cross-validated areas-under-the-curve (CV-AUCs) were used. Results: A total of 114 patients were included. With median follow-up 40 months (range: 3–138 months), 14 patients had local recurrence, 21 had DM and 38 died. Two-year actuarial local control, distant control, PFS and overall survival was 89%, 84%, 70% and 84%, respectively. The wavelet_LHL_GLDZM_LILDE feature slightly improved PFS prediction compared to clinical features alone (CV-AUC 0.73 vs. 0.71). Age > 65 years (HR = 2.64 (95%CI: 1.36–5.2), p = 0.004) and p16-negative disease (HR = 3.38 (95%CI: 1.72–6.66), p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
