eISSN: 2081-2841
ISSN: 1689-832X
Journal of Contemporary Brachytherapy
Current Issue Archive Supplements Articles in Press Journal Information Aims and Scope Editorial Office Editorial Board Register as Author Register as Reviewer Instructions for Authors Abstracting and indexing Subscription Advertising Information Links
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
Search
3/2024
vol. 16
 
Share:
Send email
Share:
abstract:
Original paper

Pre-treatment T2-weighted magnetic resonance radiomics for prediction of loco-regional recurrence after image-guided adaptive brachytherapy for locally advanced cervical cancer

Pittaya Dankulchai
1
,
Natthakorn Thanamitsomboon
1
,
Wiwatchai Sittiwong
1
,
Nont Kosaisawe
2
,
Kullathorn Thephamongkhol
1
,
Wisawa Phongprapun
1
,
Tissana Prasartseree
1

  1. Division of Radiation Oncology, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
  2. Department of Molecular and Cellular Biology, University of California Davis, Davis, USA
J Contemp Brachytherapy 2024; 16, 3: 193–201
DOI: https://doi.org/10.5114/jcb.2024.141458
Online publish date: 2024/06/28
View full text Get citation
 
Purpose:
The aim of this study was to investigate the predictive value of radiomic features of pre-treatment T2-weighted magnetic resonance images (MRI) for clinical outcomes of radiotherapy in cervical cancer patients.

Material and methods:
Ninety cervical cancer patients with stage IB-IVA were retrospectively analyzed. All patients received definitive radiotherapy with or without concurrent chemotherapy. Radiomic features were extracted from gross tumor volume (GTV) on pre-treatment T2-weighted MRI. The association between radiomic features and loco-regional recurrence (LRR) was analyzed with Student’s t test, and false discovery rate was controlled using Storey method. Multivariate analysis with significant radiomic features with p-value < 0.01 and known clinical prognostic factors was performed using Cox proportional hazard model.

Results:
The majority of patients were stage IIIB (47.8%) and stage IIB (36.7%), and the most common histology was squamous cell carcinoma (74.5%). The median GTV volume was 37.5 ml (IQR, 16.3-93.1). The median dose of D90 received by high-risk clinical target volume (HR-CTV) was 86.2 Gy (IQR, 67.2-94.2). In a median follow-up time of 29.2 months, 12 of the 90 patients (13.3%) developed LRR. Eighty radiomic features were collected. There were four radiomic features, which showed significant correlation with LRR: Maximum intensity (p = 0.0002), Correlation135 GLCM (p = 0.0014), Correlation90 (p = 0.0015), and Correlation45 (p = 0.0034). Cox regression analysis yielded a significant hazard ratio for the maximum intensity (p = 0.038) and Correlation135 GLCM (p = 0.013) features. There was no statistically significant association for overall survival with any radiomic features.

Conclusions:
The maximum intensity and Correlation135 GLCM radiomic features of the pre-treatment T2-weighted MR images are predictive of loco-regional recurrence in cervical cancer patients after definitive radiotherapy with 3D-IGABT.

keywords:

radiomics, cervical cancer, loco-regional recurrence, prognostic factors, magnetic resonance imaging, features selection

  
Termedia
About us Contact
Copyright notice Privacy policy Advertising policy Contact us
Quick links
Journals Books eBooks Events
© 2024 Termedia Sp. z o.o.
Developed by Bentus.