journal article·2020-11-11Open access

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

Davide Cusumano, Francesco Catucci, Angela Romano, Luca Boldrini, Antonio Piras, Sara Broggi, Claudio Votta, Lorenzo Placidi, Matteo Nardini, Giuditta Chiloiro, Alessia Nardangeli, Viola De Luca, Bruno Fionda, Maura Campitelli, Rosa Autorino, Maria Antonietta Gambacorta, Luca Indovina, Claudio Fiorino, Vincenzo Valentini

Applied Sciences· Volume 10· Issue 22

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.
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Research context

OpenAlex topics: Radiomics and Machine Learning in Medical Imaging · Endometrial and Cervical Cancer Treatments · Cervical Cancer and HPV Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Rome, Italy

UO Radioterapia Oncologica, Villa Santa Teresa, 90011 Bagheria, Palermo, Italy

Medical Physics, San Raffaele Scientific Institute, 20132 Milano, Italy

References (35)

Show source-provided references
1. Epidemiology and Early Detection of Cervical Cancer10.1159/000448385 ↗
3. Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis10.1016/S2214-109X(19)30482-6 ↗
4. Twenty-first century cervical cancer management: A historical perspective of the gynecologic oncology group/NRG oncology over the past twenty years10.1016/j.ygyno.2018.06.023 ↗
5. The EMBRACE II study: The outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies
6. Brachytherapy: A critical component of primary radiation therapy for cervical cancer: From the Society of Gynecologic Oncology (SGO) and the American Brachytherapy Society (ABS)10.1016/j.brachy.2018.11.009 ↗
7. Radiotherapy of Cervical Cancer10.1159/000448902 ↗
8. Groupe des Chirurgiens de Centre de Lutte Contre le Cancer Surgery after concurrent chemoradiotherapy and brachytherapy for the treatment of advanced cervical cancer: Morbidity and outcome: Results of a multicenter study of the GCCLCC (Groupe des Chirurgiens de Centre de Lutte Contre le Cancer)10.1016/j.ygyno.2006.01.022 ↗
9. Completion surgery after concomitant chemoradiation in locally advanced cervical cancer: A comprehensive analysis of pattern of postoperative complications10.1245/s10434-013-3471-y ↗
10. Neoadjuvant Chemotherapy Followed by Radical Surgery Versus Concomitant Chemotherapy and Radiotherapy in Patients with Stage IB2, IIA, or IIB Squamous Cervical Cancer: A Randomized Controlled Trial10.1200/JCO.2017.75.9985 ↗
11. Brachytherapy versus radical hysterectomy after external beam chemoradiation with gemcitabine plus cisplatin: A randomized, phase III study in IB2-IIB cervical cancer patients10.1093/annonc/mdt142 ↗
12. Neo-adjuvant platinum-based chemotherapy followed by chemoradiation and radical surgery in locally advanced cervical cancer (Lacc) patients: A phase II study10.1016/j.ejso.2018.04.019 ↗
13. Neoadjuvant chemotherapy followed by robotic radical hysterectomy in locally advanced cervical cancer: A multi-institution study10.1016/j.ygyno.2014.02.035 ↗
14. Chemoradiation with concomitant boosts followed by radical surgery in locally advanced cervical cancer: Long-term results of the ROMA-2 prospective phase 2 study10.1016/j.ijrobp.2014.07.033 ↗
15. Radiomics in cervical cancer: Current applications and future potential10.1016/j.critrevonc.2020.102985 ↗
16. Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation10.1002/jmri.26192 ↗
17. Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy10.1007/s00259-017-3898-7 ↗
18. Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study10.1016/j.ebiom.2019.07.049 ↗
19. Role of MRI in staging and follow-up of endometrial and cervical cancer: Pitfalls and mimickers10.1186/s13244-019-0696-8 ↗
20. Boldrini, L., Piras, A., Chiloiro, G., Autorino, R., Cellini, F., Cusumano, D., Fionda, B., D’Aviero, A., Campitelli, M., and Marazzi, F. (2020). Low Tesla magnetic resonance guided radiotherapy for locally advanced cervical cancer: First clinical experience. Tumori, 300891620901752.10.1177/0300891620901752 ↗
21. Hybrid MRI guided radiotherapy in locally advanced cervical cancer: Case report of an innovative personalized therapeutic approach
22. Cusumano, D., Boldrini, L., Yadav, P., Yu, G., Musurunu, B., Chiloiro, G., Piras, A., Lenkowicz, J., Placidi, L., and Broggi, S. (2020). External validation of an early regression index (ERITCP) as predictor of pathological complete response in rectal cancer using MR-guided Radiotherapy. Int. J. Radiat. Oncol. Biol. Phys.
23. A TCP-based early regression index predicts the pathological response in neo-adjuvant radio-chemotherapy of rectal cancer10.1016/j.radonc.2018.06.019 ↗
24. International Commissioning on Radiation Units and Measurements (2008). Receiver Operating Characteristic (ROC) Analysis in Medical Imaging, International Commissioning on Radiation Units and Measurements. ICRU Report 79.
25. Morphological effects of radiochemotherapy on cervical carcinoma: A morphological study of 50 cases of hysterectomy specimens after neoadjuvant treatment
26. MR-guided radiotherapy in rectal cancer: First clinical experience of an innovative technology
27. Clinical comparison of two linear-quadratic model-based isoeffect fractionation schemes of high-dose-rate intracavitary brachytherapy for cervical cancer10.1016/j.ijrobp.2003.10.025 ↗
28. The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial10.1093/biomet/26.4.404 ↗
29. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach10.2307/2531595 ↗
30. Taylor, J. (1997). An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements; II., University Science Books.
31. A critical discussion of intraclass correlation coefficients10.1002/sim.4780132310 ↗
32. Towards a modular decision support system for radiomics: A case study on rectal cancer10.1016/j.artmed.2018.09.003 ↗
33. Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., and Müller, M. (2011). pROC: An open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform., 12.10.1186/1471-2105-12-77 ↗
34. Feasibility of an adaptive strategy in preoperative radiochemotherapy for rectal cancer with image-guided tomotherapy: Boosting the dose to the shrinking tumor10.1016/j.ijrobp.2013.05.004 ↗
35. Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index