Textural features in FDG-PET/CT can predict outcome in melanoma patients to treatment with Vemurafenib and Ipililumab.


Journal

Nuklearmedizin. Nuclear medicine
ISSN: 2567-6407
Titre abrégé: Nuklearmedizin
Pays: Germany
ID NLM: 7609387

Informations de publication

Date de publication:
Jun 2020
Historique:
pubmed: 8 4 2020
medline: 13 3 2021
entrez: 8 4 2020
Statut: ppublish

Résumé

 Recently, textural parameters assessed in FDG-PET/CT as surrogate marker for tumor heterogeneity have been shown to provide prognostic power. Therefore, we investigated the use of such parameters in FDG-PET/CT examinations before the start of immunotherapy with vemurafenib or ipilimumab in patients with malignant melanoma.  In this retrospective analysis 26 patients with histologically proven advanced melanoma were included. FGD-PET/CT was performed before the start of treatment either with vemurafenib (n = 9) or ipilimumab (n = 17) and tumors were analyzed for textural parameters as well as conventional PET features. Lesions were classified as responding or not responding following PERCIST criteria. ROC analysis was performed to analyze the predictive power and cut-off values. In addition, the change of maximum SUV of the lesions between pretherapeutic PET/CT and another PET/CT performed about 12 weeks after start of treatment was evaluated and correlated with the pretreatment parameters.  In both groups, six textural parameters showed statistically significant predictive power as well as the metabolic tumor volume. In the group treated with vemurafenib eight additional textural parameters as well as the maximum and mean SUV and the TLG showed significance. A statistically significant correlation between the change of maximum SUV in the course of treatment and the pretherapeutic parameters was found in both treatment groups for three textural features.  In patients with malignant melanoma textural parameters in pretherapeutic FDG-PET/CT examinations seem to have prognostic power for treatment response of immunotherapy with vemurafenib and ipilimumab. This can be an important step towards personalized tumor therapy.

Identifiants

pubmed: 32259852
doi: 10.1055/a-1140-5458
doi:

Substances chimiques

Ipilimumab 0
Fluorodeoxyglucose F18 0Z5B2CJX4D
Vemurafenib 207SMY3FQT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

228-234

Informations de copyright

© Georg Thieme Verlag KG Stuttgart · New York.

Déclaration de conflit d'intérêts

RB is Consultant for Bayer Healthcare (Leverkusen, Germany) and Eisai GmbH (Frankfurt, Germany). RB has a non-commercial research agreement and is on the speakers list with Mediso Medical Imaging (Budapest, Hungary)ME is Consultant for Consultant for Bayer Healthcare (Leverkusen, Germany) and Eisai GmbH (Frankfurt, Germany), IPSEN and Novartis.The results presented in this paper are part of the doctoral thesis of Daniela Dittrich submitted at the Technische Universität München, Munich, Germany.

Auteurs

Daniela Dittrich (D)

Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Thomas Pyka (T)

Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Zentrum für Radiologie und Nuklearmedizin, Klinikum Dritter Orden, Munich, Germany.

Klemens Scheidhauer (K)

Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Susanne Lütje (S)

Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Bonn, Germany.

Markus Essler (M)

Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Bonn, Germany.

Ralph A Bundschuh (RA)

Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Bonn, Bonn, Germany.

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Classifications MeSH