Literature DB >> 32410505

Magnetic resonance-guided radiotherapy feasibility in elderly cancer patients: proposal of the MASTER scoring system.

Luca Boldrini1,2, Giuseppe F Colloca2, Emanuele Villani3, Giuditta Chiloiro1,2, Andrea Bellieni3, Stefania Manfrida1, Francesco Cellini1, Maria Antonietta Gambacorta1,2, Vincenzo Valentini1,2.   

Abstract

BACKGROUND: Elderly patients are often excluded from advanced treatments owing to clinical complexity or frailty. Magnetic resonance-guided radiotherapy (MRgRT) represents a new frontier of radiotherapy delivery that can play an important role in the management of these patients. AIM: To assess MRgRT feasibility in elderly patients, describe their compliance with this treatment, and provide a scoring system for elderly patient selection.
METHODS: Patients aged >75 years were enrolled. No restrictions on tumor site, staging, or treatment intent were applied. Patients underwent joint radiation oncology-geriatrics visits to assess the feasibility of MRgRT and to identify the most significant items (i.e. clinical variables) for the setup of a scoring system. The proposed scoring system was then internally validated on a prospectively enrolled cohort of elderly patients who were candidates for MRgRT.
RESULTS: Thirty patients were enrolled between February and March 2018. Their mean age was 81.4 ± 3.4 years (range 75-88). Radiotherapy intent was curative in 26 patients; 14 patients were considered frail at screening tests before radiotherapy. Twelve items were identified as clinically significant for the setup of the MASTER score (MRI-Guided Radiotherapy Selection Elderly Score) score. Validation of the score showed 100% reliability, with no patient discharged after selection.
CONCLUSIONS: MRgRT appears to be feasible in elderly patients and the MASTER score is proposed to support clinical decision-making in recommending elderly patients for this technology.

Entities:  

Keywords:  Radiotherapy; compliance; elderly; magnetic resonance guided–radiotherapy

Mesh:

Year:  2020        PMID: 32410505     DOI: 10.1177/0300891620920709

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916            Impact factor:   2.098


  5 in total

1.  Case Report: First in Human Online Adaptive MR Guided SBRT of Peritoneal Carcinomatosis Nodules: A New Therapeutic Approach for the Oligo-Metastatic Patient.

Authors:  Luca Boldrini; Angela Romano; Lorenzo Placidi; Gian Carlo Mattiucci; Giuditta Chiloiro; Davide Cusumano; Veronica Pollutri; Marco Valerio Antonelli; Luca Indovina; Maria Antonietta Gambacorta; Vincenzo Valentini
Journal:  Front Oncol       Date:  2020-12-15       Impact factor: 6.244

Review 2.  Patient positioning and immobilization procedures for hybrid MR-Linac systems.

Authors:  Francesco Cuccia; Filippo Alongi; Claus Belka; Luca Boldrini; Juliane Hörner-Rieber; Helen McNair; Michele Rigo; Maartje Schoenmakers; Maximilian Niyazi; Judith Slagter; Claudio Votta; Stefanie Corradini
Journal:  Radiat Oncol       Date:  2021-09-20       Impact factor: 3.481

3.  Hypofractionated Radiotherapy in Head and Neck Cancer Elderly Patients: A Feasibility and Safety Systematic Review for the Clinician.

Authors:  Antonio Piras; Luca Boldrini; Sebastiano Menna; Valeria Venuti; Gianfranco Pernice; Ciro Franzese; Tommaso Angileri; Antonino Daidone
Journal:  Front Oncol       Date:  2021-11-12       Impact factor: 6.244

4.  Perspectives and limits of cancer treatment in an oldest old population.

Authors:  Beatrice Di Capua; Andrea Bellieni; Domenico Fusco; Maria Antonietta Gambacorta; Luca Tagliaferri; Emanuele Rocco Villani; Roberto Bernabei; Vincenzo Valentini; Giuseppe Ferdinando Colloca
Journal:  Aging Clin Exp Res       Date:  2021-03-11       Impact factor: 3.636

5.  Quantitative analysis of MRI-guided radiotherapy treatment process time for tumor real-time gating efficiency.

Authors:  Lorenzo Placidi; Davide Cusumano; Luca Boldrini; Claudio Votta; Veronica Pollutri; Marco Valerio Antonelli; Giuditta Chiloiro; Angela Romano; Viola De Luca; Francesco Catucci; Luca Indovina; Vincenzo Valentini
Journal:  J Appl Clin Med Phys       Date:  2020-10-22       Impact factor: 2.243

  5 in total

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