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Evaluation of an Early Regression Index (ERITCP) as Predictor of Pathological Complete Response in Cervical Cancer: A Pilot-Study

Authors :
Claudio Fiorino
Viola De Luca
Rosa Autorino
Angela Romano
F. Catucci
A. Nardangeli
M. Campitelli
C. Votta
Giuditta Chiloiro
Luca Boldrini
Matteo Nardini
Vincenzo Valentini
Luca Indovina
Maria Antonietta Gambacorta
Lorenzo Placidi
Antonio Piras
Bruno Fionda
Sara Broggi
Davide Cusumano
Source :
Applied Sciences, Volume 10, Issue 22, Applied Sciences, Vol 10, Iss 8001, p 8001 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Background: Recent studies have highlighted the potentialities of a radiobiological parameter, the early regression index (ERITCP), in the treatment response prediction for rectal cancer patients treated with chemoradiotherapy followed by surgery. The aim of this study is to evaluate the performance of this parameter in predicting pathological complete response (pCR) in the context of low field MR guided radiotherapy (MRgRT) for cervical cancer (CC). Methods: A total of 16 patients affected by CC were enrolled. All patients underwent a MRgRT treatment, with prescription of 50.6 Gy in 22 fractions. A daily MR acquisition was performed at simulation and on each treatment fraction. Gross tumor volume (GTV) was delineated on the MR images acquired at the following biological effective dose (BED) levels: 14, 28, 42, 54 and 62 Gy. The ERITCP was calculated at the different BED levels and its predictive performance was quantified in terms of receiver operating characteristic (ROC) curve. Results: pCR was observed in 11/16 cases. The highest discriminative power of ERITCP was reported when a BED value of 28 Gy is reached, obtaining an area under curve (AUC) of 0.84. Conclusion: This study confirmed ERITCP as a promising response biomarker also for CC, although further studies with larger cohort of patients are recommended.

Details

Language :
English
ISSN :
20763417
Database :
OpenAIRE
Journal :
Applied Sciences
Accession number :
edsair.doi.dedup.....ddfabe88d8d5bceaf2a5feaef91e25ab
Full Text :
https://doi.org/10.3390/app10228001