TY - JOUR
T1 - Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors
AU - Uthoff, J.
AU - De Stefano, F. A.
AU - Panzer, K.
AU - Darbro, B. W.
AU - Sato, T. S.
AU - Khanna, R.
AU - Quelle, D. E.
AU - Meyerholz, D. K.
AU - Weimer, J.
AU - Sieren, J. C.
N1 - Funding Information:
We would like to thank the financial support of the Children's Tumor Foundation NF1 Synodos Grant (2015-18-002 C).
Publisher Copyright:
© 2018 Elsevier Masson SAS
PY - 2019/5
Y1 - 2019/5
N2 - Background: This study explores whether objective, quantitative radiomic biomarkers derived from magnetic resonance (MR), positron emission tomography (PET), and computed tomography (CT) may be useful in reliably distinguishing malignant peripheral nerve sheath tumors (MPNST) from benign plexiform neurofibromas (PN). Methods: A registration and segmentation pipeline was established using a cohort of NF1 patients with histopathological diagnosis of PN or MPNST, and medical imaging of the PN including MR and PET-CT. The corrected MR datasets were registered to the corresponding PET-CT via landmark-based registration. PET standard-uptake value (SUV) thresholds were used to guide segmentation of volumes of interest: MPNST-associated PET-hot regions (SUV ≥ 3.5) and PN-associated PET-elevated regions (2.0 < SUV < 3.5). Quantitative imaging features were extracted from the MR, PET, and CT data and compared for statistical differences. Intensity histogram features included (mean, media, maximum, variance, full width at half maximum, entropy, kurtosis, and skewness), while image texture was quantified using Law's texture energy measures, grey-level co-occurrence matrices, and neighborhood grey-tone difference matrices. Results: For each of the 20 NF1 subjects, a total of 320 features were extracted from the image data. Feature reduction and statistical testing identified 9 independent radiomic biomarkers from the MR data (4 intensity and 5 texture) and 4 PET (2 intensity and 2 texture) were different between the PET-hot versus PET-elevated volumes of interest. Conclusions: Our data suggests imaging features can be used to distinguish malignancy in NF1-realted tumors, which could improve MPNST risk assessment and positively impact clinical management of NF1 patients.
AB - Background: This study explores whether objective, quantitative radiomic biomarkers derived from magnetic resonance (MR), positron emission tomography (PET), and computed tomography (CT) may be useful in reliably distinguishing malignant peripheral nerve sheath tumors (MPNST) from benign plexiform neurofibromas (PN). Methods: A registration and segmentation pipeline was established using a cohort of NF1 patients with histopathological diagnosis of PN or MPNST, and medical imaging of the PN including MR and PET-CT. The corrected MR datasets were registered to the corresponding PET-CT via landmark-based registration. PET standard-uptake value (SUV) thresholds were used to guide segmentation of volumes of interest: MPNST-associated PET-hot regions (SUV ≥ 3.5) and PN-associated PET-elevated regions (2.0 < SUV < 3.5). Quantitative imaging features were extracted from the MR, PET, and CT data and compared for statistical differences. Intensity histogram features included (mean, media, maximum, variance, full width at half maximum, entropy, kurtosis, and skewness), while image texture was quantified using Law's texture energy measures, grey-level co-occurrence matrices, and neighborhood grey-tone difference matrices. Results: For each of the 20 NF1 subjects, a total of 320 features were extracted from the image data. Feature reduction and statistical testing identified 9 independent radiomic biomarkers from the MR data (4 intensity and 5 texture) and 4 PET (2 intensity and 2 texture) were different between the PET-hot versus PET-elevated volumes of interest. Conclusions: Our data suggests imaging features can be used to distinguish malignancy in NF1-realted tumors, which could improve MPNST risk assessment and positively impact clinical management of NF1 patients.
KW - Magnetic resonance imaging
KW - Malignant peripheral nerve sheath tumor
KW - Plexiform neurofibroma
KW - Positron emission tomography
KW - Quantitative feature extraction
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U2 - 10.1016/j.neurad.2018.05.006
DO - 10.1016/j.neurad.2018.05.006
M3 - Article
C2 - 29958847
AN - SCOPUS:85049883293
VL - 46
SP - 179
EP - 185
JO - Journal of Neuroradiology
JF - Journal of Neuroradiology
SN - 0150-9861
IS - 3
ER -