Quantitative SSTR-PET/CT: a potential tool for predicting everolimus response in neuroendoctine tumour patients.

SSTR-PET/CT everolimus neuroendocrine tumors response

Journal

Radiology and oncology
ISSN: 1581-3207
Titre abrégé: Radiol Oncol
Pays: Poland
ID NLM: 9317213

Informations de publication

Date de publication:
12 Jun 2024
Historique:
received: 12 03 2024
accepted: 10 05 2024
medline: 11 6 2024
pubmed: 11 6 2024
entrez: 11 6 2024
Statut: aheadofprint

Résumé

This study aimed to assess This retrospective analysis included 29 patients with 62 target lesions undergoing everolimus treatment and pre-therapy, and follow-up PET/CT scans were acquired 19 days (interquartile range [IQR] 69 days) pre-treatment and 127 days (IQR 74 days) post-starting everolimus. The overall median PFS was 264 days (95% CI: 134-394 days). R exhibited significant decreases in Tmax/Lmax and Tmean/Lmax ratios compared to NR (p = 0.01). In univariate Cox regression, Tmean/Lmax ratio was the sole prognostic parameter associated with PFS (HR 0.5, 95% CI 0.28-0.92, p = 0.03). Percentage changes in T/L and T/S ratios were significant predictors of PFS, with the highest area under curve (AUC) for the percentage change of Tmean/Lmax (AUC = 0.73). An optimal threshold of < 2.5% identified patients with longer PFS (p = 0.003). No other imaging or clinical parameters were predictive of PFS. This study highlights the potential of quantitative SSTR-PET/CT in predicting and monitoring everolimus response in NET patients. Liver metastasis-to-liver parenchyma ratios outperformed size-based criteria, and Tmean/Lmax ratio may serve as a prognostic marker for PFS, warranting larger cohort investigation.

Sections du résumé

BACKGROUND BACKGROUND
This study aimed to assess
PATIENTS AND METHODS METHODS
This retrospective analysis included 29 patients with 62 target lesions undergoing everolimus treatment and pre-therapy, and follow-up
RESULTS RESULTS
PET/CT scans were acquired 19 days (interquartile range [IQR] 69 days) pre-treatment and 127 days (IQR 74 days) post-starting everolimus. The overall median PFS was 264 days (95% CI: 134-394 days). R exhibited significant decreases in Tmax/Lmax and Tmean/Lmax ratios compared to NR (p = 0.01). In univariate Cox regression, Tmean/Lmax ratio was the sole prognostic parameter associated with PFS (HR 0.5, 95% CI 0.28-0.92, p = 0.03). Percentage changes in T/L and T/S ratios were significant predictors of PFS, with the highest area under curve (AUC) for the percentage change of Tmean/Lmax (AUC = 0.73). An optimal threshold of < 2.5% identified patients with longer PFS (p = 0.003). No other imaging or clinical parameters were predictive of PFS.
CONCLUSIONS CONCLUSIONS
This study highlights the potential of quantitative SSTR-PET/CT in predicting and monitoring everolimus response in NET patients. Liver metastasis-to-liver parenchyma ratios outperformed size-based criteria, and Tmean/Lmax ratio may serve as a prognostic marker for PFS, warranting larger cohort investigation.

Identifiants

pubmed: 38861687
pii: raon-2024-0032
doi: 10.2478/raon-2024-0032
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 Homeira Karim et al., published by Sciendo.

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Auteurs

Homeira Karim (H)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Michael Winkelmann (M)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Freba Grawe (F)

Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.

Friederike Völter (F)

Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.

Christoph Auernhammer (C)

ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany.
Department of Internal Medicine 4, University Hospital, LMU Munich, Munich, Germany.

Johannes Rübenthaler (J)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany.

Jens Ricke (J)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany.

Maria Ingenerf (M)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Christine Schmid-Tannwald (C)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany.

Classifications MeSH