Predictive role of Apparent Diffusion Coefficient (ADC) from Diffusion Weighted MRI in patients with sacral chordoma treated with carbon ion radiotherapy (CIRT) alone.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
May 2020
Historique:
received: 05 09 2019
revised: 23 02 2020
accepted: 01 03 2020
pubmed: 15 3 2020
medline: 1 12 2020
entrez: 15 3 2020
Statut: ppublish

Résumé

To evaluate if baseline ADC from DWI sequences could predict response to treatment in patients with sacral chordoma not suitable for surgery treated with carbon ion radiotherapy (CIRT) alone compared with volume changes. Fifty-nine patients with sacral chordoma not suitable for surgery underwent one cycle of CIRT alone and a minimum of 12-months follow-up. All patients underwent MRI before treatment (baseline), every three months in the first two years after treatment, and every six months afterwards. For each MRI, lesion volume was obtained and median, kurtosis, and skewness ADC were analyzed within the whole lesion volume. Volume changes between baseline and the last available follow-up were used to divide patients with partial response, progression of disease and stable disease (PR, PD, and SD). Ten patients were excluded since DWI sequences from baseline MRI were not available. ADC maps obtained from baseline DWI examinations of 50 lesions in the remaining 49 patients were considered. Seven lesions were categorized as PD, 30 PR, and 13 SD. PD showed significantly higher median ADC values at baseline (p = 0.003) compared with both PR and SD (1665vs1253vs1263 *10 Preliminary results suggest that baseline ADC could predict response to treatment with CIRT, particularly to detect potential non-responder patients.

Identifiants

pubmed: 32171109
pii: S0720-048X(20)30122-4
doi: 10.1016/j.ejrad.2020.108933
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108933

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Lorenzo Preda (L)

Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Italy; Diagnostic Imaging Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy. Electronic address: lorenzo.preda@cnao.it.

Silvia Casale (S)

Diagnostic Radiology Residency School, University of Pavia, Italy.

Marianna Fanizza (M)

Diagnostic Radiology Residency School, University of Pavia, Italy.

Maria Rosaria Fiore (MR)

Radiotherapy Unit, National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

Gisela Viselner (G)

Diagnostic Imaging Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.

Chiara Paganelli (C)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy.

Giulia Buizza (G)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy.

Giulia Fontana (G)

Clinical Engineering Unit National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

Viviana Vitolo (V)

Radiotherapy Unit, National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

Amelia Barcellini (A)

Radiotherapy Unit, National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

Guido Baroni (G)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; Clinical Engineering Unit National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

Piero Fossati (P)

EBG MedAustron GmbH, Wiener Neustadt, Austria.

Francesca Valvo (F)

Radiotherapy Unit, National Center of Oncology Hadrontherapy (CNAO), Pavia, Italy.

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