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Radiomic features as biomarkers of soft tissue paediatric sarcomas: preliminary results of a PET/MR study

Chiara Giraudo

Chiara Giraudo

Department of Medicine – DIMED, University of PadovaPadova, Italy
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Giraudo, Chiara
, 
Giulia Fichera

Giulia Fichera

Department of Medicine – DIMED, University of PadovaPadova, Italy
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Fichera, Giulia
, 
Roberto Stramare

Roberto Stramare

Department of Medicine – DIMED, University of PadovaPadova, Italy
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Stramare, Roberto
, 
Gianni Bisogno

Gianni Bisogno

Hematology and Oncology Division, Department of Women’s and Children’s Health, University of PadovaPadova, Italy
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Bisogno, Gianni
, 
Raffaella Motta

Raffaella Motta

Department of Medicine – DIMED, University of PadovaPadova, Italy
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Motta, Raffaella
, 
Laura Evangelista

Laura Evangelista

Nuclear Medicine Unit, Department of Medicine – DIMED, University of PadovaPadova, Italy
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Evangelista, Laura
, 
Diego Cecchin

Diego Cecchin

Nuclear Medicine Unit, Department of Medicine – DIMED, University of PadovaPadova, Italy
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Cecchin, Diego
 and 
Pietro Zucchetta

Pietro Zucchetta

Nuclear Medicine Unit, Department of Medicine – DIMED, University of PadovaPadova, Italy
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Zucchetta, Pietro
  
Mar 28, 2022
Radiomic features as biomarkers of soft tissue paediatric sarcomas: preliminary results of a PET/MR study's Cover Image
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Article Category: Research Article
Published Online: Mar 28, 2022
Page range: 138 - 141
Received: Nov 19, 2021
Accepted: Mar 04, 2022
DOI: https://doi.org/10.2478/raon-2022-0013
Keywords
© 2022 Chiara Giraudo, Giulia Fichera, Roberto Stramare, Gianni Bisogno, Raffaella Motta, Laura Evangelista, Diego Cecchin, Pietro Zucchetta, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Graphic representation of the development of the proposed radiomic analysis demonstrating the segmentation and extraction of radiomic features from the primary lesion of children affected by soft tissue sarcomas examined for staging by PET/MR and the factor analysis that led to the selection of five highly correlating variables.
Graphic representation of the development of the proposed radiomic analysis demonstrating the segmentation and extraction of radiomic features from the primary lesion of children affected by soft tissue sarcomas examined for staging by PET/MR and the factor analysis that led to the selection of five highly correlating variables.

Comparison of demographics, metabolic, and first-line laboratory variables according to tumor histotype and grade

Histotype* Grade#
Rhabdomyosarcoma Non-rhabdomyosarcoma pa Low-grade High grade pa
Age (years) 7.2 ± 4.8 9 ± 4.2 0.464 6.1 ± 3.4 9.5 ± 5.2 0.115
Gender (female/male) 7/5 4/2 1.000 7/2 4/5 0.335
SUVmax 5.1 ± 3 5.6 ± 3 0.765 5.3 ± 4 5.3 ± 2 0.998
SUVmean 1.8 ± 1 1.5 ± 1 0.505 1.1 ± 0.3 1 ± 0.2 0.960
Hemoglobin (g/L) 11.4 ± 1.3 11.7 ± 1.4 0.660 11.7 ± 1.6 11.4 ± 1 0.657
Red (×10blood 12·L−1) cells count 4.2 ± 1 4.7 ± 0.5 0.215 4.3 ± 1 4.5 ± 1 0.594
White (×109·Lblood −1) cells count 5.8 ± 3 5.8 ± 5 0.996 5.7 ± 4 6 ± 3.9 0.889
Platelets (×109·L−1) 349 ± 171 386 ± 77 0.636 375 ± 187 351 ± 100 0.748
Lactate (U/L) dehydrogenase 335 ± 86 369 ± 172 0.608 358 ± 131 331 ± 94 0.652
D-(ng/dimer mL) 214 ± 152 2125 ± 3530 0.07 1370 ± 2992 331 ± 297 0.315
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Medicine, Clinical Medicine, Internal Medicine, Haematology, Oncology, Radiology
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