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Tytuł pozycji:

Can radiomics improve the prediction of metastatic relapse of myxoid/round cell liposarcomas?

Tytuł :
Can radiomics improve the prediction of metastatic relapse of myxoid/round cell liposarcomas?
Autorzy :
Crombé A; Department of Radiology, Institut Bergonie, F-33000, Bordeaux, France. .; Department of Diagnostic and Interventional Radiology, Institut Bergonié, Comprehensive Cancer Center, 229 cours de l'Argonne, F-33000, Bordeaux, France. .; Modelisation in Oncology (MOnc) Team, INRIA Bordeaux-Sud-Ouest, CNRS UMR 5251, F-33405, Talence, France. .; University of Bordeaux, F-33000, Bordeaux, France. .
Le Loarer F; University of Bordeaux, F-33000, Bordeaux, France.; Department of Pathology, Institut Bergonie, F-33000, Bordeaux, France.
Sitbon M; Department of Radiology, Institut Bergonie, F-33000, Bordeaux, France.
Italiano A; Department of Surgery, Institut Bergonie, F-33000, Bordeaux, France.
Stoeckle E; Department of Medical Oncology, Institut Bergonie, F-33000, Bordeaux, France.
Buy X; Department of Radiology, Institut Bergonie, F-33000, Bordeaux, France.
Kind M; Department of Radiology, Institut Bergonie, F-33000, Bordeaux, France.
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Źródło :
European radiology [Eur Radiol] 2020 May; Vol. 30 (5), pp. 2413-2424. Date of Electronic Publication: 2020 Jan 17.
Typ publikacji :
Journal Article
Język :
English
Imprint Name(s) :
Original Publication: Berlin : Springer International, c1991-
MeSH Terms :
Liposarcoma, Myxoid/*diagnosis
Magnetic Resonance Imaging/*methods
Neoplasm Recurrence, Local/*diagnosis
Adult ; Aged ; Aged, 80 and over ; Biopsy ; Female ; Humans ; Liposarcoma, Myxoid/secondary ; Liposarcoma, Myxoid/therapy ; Lower Extremity ; Male ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm Metastasis ; Prognosis ; Recurrence ; Retrospective Studies ; Soft Tissue Neoplasms ; Tumor Burden
Contributed Indexing :
Keywords: Liposarcomas, myxoid; Magnetic resonance imaging; Patient-specific modeling; Prognosis; Sarcoma
Entry Date(s) :
Date Created: 20200119 Date Completed: 20201019 Latest Revision: 20201019
Update Code :
20201023
DOI :
10.1007/s00330-019-06562-5
PMID :
31953663
Czasopismo naukowe
Objective: The strongest adverse prognostic factor in myxoid/round cell liposarcomas (MRC-LPS) is the presence of a round cell component above 5% within the tumor bulk. Its identification is underestimated on biopsies and in the neoadjuvant setting. The aim was to improve the prediction of patients' prognosis through a radiomics approach.
Methods: Thirty-five out of 89 patients with MRC-LPS managed at our sarcoma reference center from 2008 to 2017 were included in this IRB-approved retrospective study as they presented with a pre-treatment contrast-enhanced MRI (median age, 49 years old). Two radiologists reported usual conventional/semantic radiological variables. After signal intensity (SI) normalization, voxel size standardization of T2-WI, and whole tumor volume segmentation, 44 3D-radiomics features were extracted. Using least absolute shrinkage and selection operator penalized Cox regression on prefiltered features, a radiomics score based on 3 weighted radiomics features was generated. Four prognostic multivariate models for MRFS were compared using concordance index: (1) clinical model, (2) semantic radiological model, (3) radiomics model, and (4) radiomics + semantic radiological model.
Results: Twelve patients showed a metastatic relapse. The radiomics score included FOS_Skewness, GLRLM_LRHGE, and SHAPE_Volume and correlated with MRFS (hazard ratio = 19.37, p = 0.0009) and visual heterogeneity on T2-WI (p < 0.0001). A high score indicated a poorer prognosis. After adjustment, the best predictive performances were obtained with model (4) (concordance index = 0.937) and the lowest with model (1) (concordance index = 0.637).
Conclusion: Adding selected radiomics features that quantify tumor heterogeneity and shape at baseline to a conventional radiological analysis improves prediction of MRC-LPS patients' prognosis.
Key Points: • Fourteen radiomics features quantifying shape and heterogeneity of myxoid/round cell liposarcomas on T2-WI were associated with metastatic relapse in univariate analysis. • A radiomics score based on 3 selected and weighted radiomics features was a strong and independent prognostic factor for metastatic relapse-free survival. • The best prediction of metastatic relapse-free survival for myxoid/round cell liposarcomas was achieved by combining the radiomics score to relevant radiological features.

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