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Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome
被引:122
|作者:
Crombe, Amandine
[1
,6
,7
]
Marcellin, Pierre-Jean
[1
]
Buy, Xavier
[1
]
Stoeckle, Eberhard
[2
]
Brouste, Veronique
[3
]
Italiano, Antoine
[4
,7
]
Le Loarer, Francois
[5
,7
]
Kind, Michele
[1
]
机构:
[1] Reg Comprehens Canc Ctr, Bergonie Inst, Dept Diagnost & Intervent Radiol, Bordeaux, France
[2] Reg Comprehens Canc Ctr, Bergonie Inst, Dept Oncol Surg, Bordeaux, France
[3] Reg Comprehens Canc Ctr, Bergonie Inst, Dept Clin Epidemiol Res, Bordeaux, France
[4] Reg Comprehens Canc Ctr, Bergonie Inst, Dept Med Oncol, Bordeaux, France
[5] Reg Comprehens Canc Ctr, Bergonie Inst, Dept Pathol, Bordeaux, France
[6] CNRS, Modeling Oncol Team, Natl Inst Res Digital Sci INRIA Bordeaux Sud Oues, Natl Ctr Sci Res,Multidisciplinary Res Unit 5251, Talence, France
[7] Univ Bordeaux, Bordeaux, France
来源:
关键词:
CANCER-CENTERS-SARCOMA;
CORE NEEDLE-BIOPSY;
NEOADJUVANT CHEMOTHERAPY;
FRENCH-FEDERATION;
TUMOR GRADE;
PROGNOSTIC-FACTORS;
ADULT PATIENTS;
DIAGNOSIS;
MULTICENTER;
EXPRESSION;
D O I:
10.1148/radiol.2019181659
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Background: Managing soft-tissue sarcoma (STS) relies on histologic grade, which is the strongest prognostic factor and a routine assessment at biopsy. However, underestimation of histologic grade may occur because of tumor heterogeneity. Purpose: To identify MRI features that are associated with high-grade STS (grade III) and to determine the relationship between MRI features and patient survival. Materials and Methods: In this retrospective single-center study, patients (age >= 16 years) were included if they presented with STS diagnosed between 2008 and 2015, had a baseline contrast material-enhanced MRI study, had a pathologic grade assessed on the whole surgical specimen, and had no history of neoadjuvant treatment. Visceral sarcomas, well-differentiated liposarcomas, and angiosarcomas were excluded. Images were evaluated for size, heterogeneity, architecture, margins, and surrounding tissue at T2-weighted, T1-weighted precontrast, and T1-weighted postcontrast MRI. chi(2) tests, Fisher tests, and multivariable binary logistic regression were performed to identify features associated with a final grade of III. The associations between combinations of these features and overall survival and metastasis-free survival were investigated with Kaplan-Meier curves and multivariable Cox models. Results: A total of 130 patients were included (53 women [mean age +/- standard deviation, 60.7 years +/- 19.2]); 72 of the 130 (55.4%) STSs were grade III. At multivariable analysis, three MRI features were associated with grade III STS: peritumoral enhancement (odds ratio [OR], 3.4; P = .003), presence of an area compatible with necrosis (OR, 2.4; P = .03), and heterogeneous signal intensities greater than or equal to 50% at T2-weighted imaging (OR, 2.3; P = .04). The presence of at least two of these three features was an independent predictor of metastasis-free survival (hazard ratio, 4.5; P = .01) and overall survival (hazard ratio, 4.2; P = .04). Conclusion: MRI features including necrosis, heterogeneity, and peritumoral enhancement of soft-tissue sarcomas were associated with grade III tumors, metastasis-free survival, and overall survival. (C) RSNA, 2019
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页码:710 / 721
页数:12
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