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

被引:4
作者
Annovazzi, Alessio [1 ]
Ferraresi, Virginia [2 ]
Covello, Renato [3 ]
Ascione, Andrea [4 ]
Vari, Sabrina [2 ]
Petrongari, Maria Grazia [5 ]
Baldi, Jacopo [6 ]
Biagini, Roberto [6 ]
Sciuto, Rosa [1 ]
机构
[1] IRCCS Regina Elena Natl Canc Inst, Nucl Med Unit, I-00144 Rome, Italy
[2] IRCCS Regina Elena Natl Canc Inst, Sarcomas & Rare Tumors Dept Unit, I-00144 Rome, Italy
[3] IRCCS Regina Elena Natl Canc Inst, Dept Pathol, I-00144 Rome, Italy
[4] Sapienza Univ Rome, Dept Radiol Oncol & Pathol Sci, I-00161 Rome, Italy
[5] IRCCS Regina Elena Natl Canc Inst, Dept Radiat Oncol, I-00144 Rome, Italy
[6] IRCCS Regina Elena Natl Canc Inst, Oncol Orthopaed Unit, I-00144 Rome, Italy
关键词
18F-FDG; PET; CT; undifferentiated soft-tissue sarcoma; predictive value; radiomics; MALIGNANT FIBROUS HISTIOCYTOMA; F-18-FDG PET/CT; RADIATION-THERAPY; FDG-PET/CT; EXTREMITIES; MANAGEMENT; INDEXES; ADULTS; LIMB;
D O I
10.3390/jcm12010279
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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: [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: 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: GLCM_correlation can identify USTS at high risk of relapse and death, thus helping to optimize the perioperative treatment of patients.
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页数:11
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