Prognostic Value of Pre-Treatment [18F]FDG PET/CT Texture Analysis in Undifferentiated Soft-Tissue Sarcoma.

18F-FDG PET/CT predictive value radiomics undifferentiated soft-tissue sarcoma

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
29 Dec 2022
Historique:
received: 25 10 2022
revised: 19 12 2022
accepted: 27 12 2022
entrez: 8 1 2023
pubmed: 9 1 2023
medline: 9 1 2023
Statut: epublish

Résumé

Undifferentiated soft-tissue sarcomas (USTS) are one of the most common sarcoma histotypes in adults. The standard of care is surgical excision plus adjuvant radiotherapy, while the use of perioperative chemotherapy is still controversial. The aim of this study was to investigate the value of pre-treatment [18F]FDG PET/CT conventional metrics and textural features in predicting disease-free survival (DFS) and overall survival (OS) in patients with USTS of the limbs and trunk. [18F]FDG PET/CT scans of 51 consecutive patients with locally advanced USTS were retrospectively evaluated. Conventional and textural PET parameters were analysed and tested as predictive factors for DFS and OS. During a median follow up of 50.7 months, 23 (45.1%) and 29 (56.9%) patients had death or disease progression, respectively. Univariate analysis revealed a significant association for perioperative treatment, PET volumetric parameters and the textural feature GLCM_correlation with DFS and OS. In multivariate analysis, perioperative treatment and GLCM_correlation were the only independent factors, allowing stratification of the population into three different prognostic classes. GLCM_correlation can identify USTS at high risk of relapse and death, thus helping to optimize the perioperative treatment of patients.

Sections du résumé

BACKGROUND BACKGROUND
Undifferentiated soft-tissue sarcomas (USTS) are one of the most common sarcoma histotypes in adults. The standard of care is surgical excision plus adjuvant radiotherapy, while the use of perioperative chemotherapy is still controversial. The aim of this study was to investigate the value of pre-treatment [18F]FDG PET/CT conventional metrics and textural features in predicting disease-free survival (DFS) and overall survival (OS) in patients with USTS of the limbs and trunk.
METHODS METHODS
[18F]FDG PET/CT scans of 51 consecutive patients with locally advanced USTS were retrospectively evaluated. Conventional and textural PET parameters were analysed and tested as predictive factors for DFS and OS.
RESULTS RESULTS
During a median follow up of 50.7 months, 23 (45.1%) and 29 (56.9%) patients had death or disease progression, respectively. Univariate analysis revealed a significant association for perioperative treatment, PET volumetric parameters and the textural feature GLCM_correlation with DFS and OS. In multivariate analysis, perioperative treatment and GLCM_correlation were the only independent factors, allowing stratification of the population into three different prognostic classes.
CONCLUSION CONCLUSIONS
GLCM_correlation can identify USTS at high risk of relapse and death, thus helping to optimize the perioperative treatment of patients.

Identifiants

pubmed: 36615079
pii: jcm12010279
doi: 10.3390/jcm12010279
pmc: PMC9821547
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Alessio Annovazzi (A)

Nuclear Medicine Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Virginia Ferraresi (V)

Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Renato Covello (R)

Department of Pathology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Andrea Ascione (A)

Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00161 Rome, Italy.

Sabrina Vari (S)

Sarcomas and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Maria Grazia Petrongari (MG)

Department of Radiation Oncology, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Jacopo Baldi (J)

Oncological Orthopaedics Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Roberto Biagini (R)

Oncological Orthopaedics Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Rosa Sciuto (R)

Nuclear Medicine Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

Classifications MeSH