High-grade soft-tissue sarcoma: optimizing injection improves MRI evaluation of tumor response.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Feb 2019
Historique:
received: 19 04 2018
accepted: 27 06 2018
revised: 31 05 2018
pubmed: 25 7 2018
medline: 26 2 2019
entrez: 25 7 2018
Statut: ppublish

Résumé

To determine the acquisition delay after gadolinium-chelate injection that optimizes the prediction of the histological response during anthracycline-based neoadjuvant chemotherapy (NAC) for locally advanced high-grade soft-tissue sarcomas (STS). Thirty patients (mean age 62 years) were included in this IRB-approved study. All patients received 5-6 cycles of NAC followed by surgery. A good response was defined as ≤ 10% viable cells on histological analysis of the surgical specimen. DCE-MRI was performed before treatment (MRI There were 22 (73.3%) poor responders. Acquisition delay had a significant effect on change in CE and on the response status according to Choi (p = 0.0014 and 0.0270, respectively). The highest AUROC was obtained at t = 58 s (0.792) with an optimal threshold of a -30.5% decrease in CE. At t = 58 s, accuracy to predict a poor response was 82.8% above this threshold, while it was 72.4% and 70% with no objective response according to the Choi criteria and RECIST1.1, respectively. Optimization of acquisition delay after injection to estimate change in CE improves the prediction of histological response. For STS undergoing NAC, a 60-s delay can be recommended with MRI. • Accuracy of response criteria based on contrast enhancement, like the Choi criteria, is dependent on the acquisition delay after gadolinium-chelate injection. • DCE-MRI helps determine the optimal acquisition delay after gadolinium-chelate injection for improving evaluation of tumor response. • In soft tissue sarcoma, an acquisition delay at 60 s optimizes the evaluation of the response and accuracy of the Choi criteria.

Identifiants

pubmed: 30039222
doi: 10.1007/s00330-018-5635-4
pii: 10.1007/s00330-018-5635-4
doi:

Substances chimiques

Anthracyclines 0
Contrast Media 0
Gadolinium AU0V1LM3JT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

545-555

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Auteurs

Amandine Crombé (A)

Department of Diagnostic and Interventional Radiology, Institut Bergonie, Comprehensive Cancer Center, 229 cours de l'Argonne, F-33000, Bordeaux, France. amandine.crombe@ens-lyon.fr.
Modelisation in Oncology (MOnc) Team, INRIA Bordeaux-Sud-Ouest, CNRS UMR 5251 & Université de Bordeaux, F-33405, Talence, France. amandine.crombe@ens-lyon.fr.
University of Bordeaux, F-33000, Bordeaux, France. amandine.crombe@ens-lyon.fr.

François Le Loarer (F)

University of Bordeaux, F-33000, Bordeaux, France.
Department of Pathology, Institut Bergonie, F-33000, Bordeaux, France.

François Cornelis (F)

Department of Radiology, Tenon Hospital, Sorbonne University, APHP, F-75020, Paris, France.

Eberhardt Stoeckle (E)

Department of Surgery, Institut Bergonie, F-33000, Bordeaux, France.

Xavier Buy (X)

Department of Diagnostic and Interventional Radiology, Institut Bergonie, Comprehensive Cancer Center, 229 cours de l'Argonne, F-33000, Bordeaux, France.

Sophie Cousin (S)

Department of Medical Oncology, Institut Bergonie, F-33000, Bordeaux, France.

Antoine Italiano (A)

University of Bordeaux, F-33000, Bordeaux, France.
Department of Medical Oncology, Institut Bergonie, F-33000, Bordeaux, France.

Michèle Kind (M)

Department of Diagnostic and Interventional Radiology, Institut Bergonie, Comprehensive Cancer Center, 229 cours de l'Argonne, F-33000, Bordeaux, France.

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