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Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors
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...
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| Published in: | Journal of neuroradiology 2019-05, Vol.46 (3), p.179-185 |
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| Main Authors: | , , , , , , , , , |
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| container_end_page | 185 |
| container_issue | 3 |
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| container_title | Journal of neuroradiology |
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| creator | Uthoff, J. De Stefano, F.A. Panzer, K. Darbro, B.W. Sato, T.S. Khanna, R. Quelle, D.E. Meyerholz, D.K. Weimer, J. Sieren, J.C. |
| description | 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).
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 |
| doi_str_mv | 10.1016/j.neurad.2018.05.006 |
| format | article |
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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.
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.
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.</description><identifier>ISSN: 0150-9861</identifier><identifier>DOI: 10.1016/j.neurad.2018.05.006</identifier><identifier>PMID: 29958847</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Biomarkers, Tumor - analysis ; Cell Transformation, Neoplastic ; Diagnosis, Differential ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Malignant peripheral nerve sheath tumor ; Nerve Sheath Neoplasms - diagnostic imaging ; Nerve Sheath Neoplasms - pathology ; Neurofibromatosis 1 - diagnostic imaging ; Neurofibromatosis 1 - pathology ; Plexiform neurofibroma ; Positron emission tomography ; Positron Emission Tomography Computed Tomography ; Quantitative feature extraction ; Reproducibility of Results ; Retrospective Studies ; Young Adult</subject><ispartof>Journal of neuroradiology, 2019-05, Vol.46 (3), p.179-185</ispartof><rights>2018 Elsevier Masson SAS</rights><rights>Copyright © 2018 Elsevier Masson SAS. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-35586de94c2c773ff4dc46852dc105f93cdd76539c255f3e19d3a55c0e455ff53</citedby><cites>FETCH-LOGICAL-c463t-35586de94c2c773ff4dc46852dc105f93cdd76539c255f3e19d3a55c0e455ff53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29958847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Uthoff, J.</creatorcontrib><creatorcontrib>De Stefano, F.A.</creatorcontrib><creatorcontrib>Panzer, K.</creatorcontrib><creatorcontrib>Darbro, B.W.</creatorcontrib><creatorcontrib>Sato, T.S.</creatorcontrib><creatorcontrib>Khanna, R.</creatorcontrib><creatorcontrib>Quelle, D.E.</creatorcontrib><creatorcontrib>Meyerholz, D.K.</creatorcontrib><creatorcontrib>Weimer, J.</creatorcontrib><creatorcontrib>Sieren, J.C.</creatorcontrib><title>Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors</title><title>Journal of neuroradiology</title><addtitle>J Neuroradiol</addtitle><description>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).
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.
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.
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.</description><subject>Biomarkers, Tumor - analysis</subject><subject>Cell Transformation, Neoplastic</subject><subject>Diagnosis, Differential</subject><subject>Female</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Malignant peripheral nerve sheath tumor</subject><subject>Nerve Sheath Neoplasms - diagnostic imaging</subject><subject>Nerve Sheath Neoplasms - pathology</subject><subject>Neurofibromatosis 1 - diagnostic imaging</subject><subject>Neurofibromatosis 1 - pathology</subject><subject>Plexiform neurofibroma</subject><subject>Positron emission tomography</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Quantitative feature extraction</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Young Adult</subject><issn>0150-9861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9UctOwzAQ9AFEy-MPEMqRS4IfsZNckBDiJSEhIThbrr0GlyQudlLB3-OqpcCF02q1M7s7MwgdE1wQTMTZvOhhDMoUFJO6wLzAWOygKSYc500tyATtxzjHmBJS0j00oU3D67qspkg_KuN853Q2S0WFNwgxc731oVODW0LmbaZVryH4MWZDUH3czHyfcNnqrrduFhJ58NHFnGSLFj7cCpUNY-dDPES7VrURjjb1AD1fXz1d3ub3Dzd3lxf3uS4FG3LGeS0MNKWmuqqYtaVJg5pTownmtmHamEpw1mjKuWVAGsMU5xpDmXrL2QE6X-9djLMOjIY-_dvKRXBJ2Kf0ysm_k969yhe_lIIlFwlOC043C4J_HyEOsnNRQ9uqHpJ8SbGgNatILRK0XEN18DEGsNszBMtVJnIu15nIVSYSc5kySbST3y9uSd-B_GiAZNTSQZBRO0j-GxdAD9J49_-FL_eSpVs</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Uthoff, J.</creator><creator>De Stefano, F.A.</creator><creator>Panzer, K.</creator><creator>Darbro, B.W.</creator><creator>Sato, T.S.</creator><creator>Khanna, R.</creator><creator>Quelle, D.E.</creator><creator>Meyerholz, D.K.</creator><creator>Weimer, J.</creator><creator>Sieren, J.C.</creator><general>Elsevier Masson SAS</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190501</creationdate><title>Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors</title><author>Uthoff, J. ; De Stefano, F.A. ; Panzer, K. ; Darbro, B.W. ; Sato, T.S. ; Khanna, R. ; Quelle, D.E. ; Meyerholz, D.K. ; Weimer, J. ; Sieren, J.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-35586de94c2c773ff4dc46852dc105f93cdd76539c255f3e19d3a55c0e455ff53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomarkers, Tumor - analysis</topic><topic>Cell Transformation, Neoplastic</topic><topic>Diagnosis, Differential</topic><topic>Female</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Malignant peripheral nerve sheath tumor</topic><topic>Nerve Sheath Neoplasms - diagnostic imaging</topic><topic>Nerve Sheath Neoplasms - pathology</topic><topic>Neurofibromatosis 1 - diagnostic imaging</topic><topic>Neurofibromatosis 1 - pathology</topic><topic>Plexiform neurofibroma</topic><topic>Positron emission tomography</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Quantitative feature extraction</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uthoff, J.</creatorcontrib><creatorcontrib>De Stefano, F.A.</creatorcontrib><creatorcontrib>Panzer, K.</creatorcontrib><creatorcontrib>Darbro, B.W.</creatorcontrib><creatorcontrib>Sato, T.S.</creatorcontrib><creatorcontrib>Khanna, R.</creatorcontrib><creatorcontrib>Quelle, D.E.</creatorcontrib><creatorcontrib>Meyerholz, D.K.</creatorcontrib><creatorcontrib>Weimer, J.</creatorcontrib><creatorcontrib>Sieren, J.C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uthoff, J.</au><au>De Stefano, F.A.</au><au>Panzer, K.</au><au>Darbro, B.W.</au><au>Sato, T.S.</au><au>Khanna, R.</au><au>Quelle, D.E.</au><au>Meyerholz, D.K.</au><au>Weimer, J.</au><au>Sieren, J.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors</atitle><jtitle>Journal of neuroradiology</jtitle><addtitle>J Neuroradiol</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>46</volume><issue>3</issue><spage>179</spage><epage>185</epage><pages>179-185</pages><issn>0150-9861</issn><abstract>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).
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.
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.
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.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>29958847</pmid><doi>10.1016/j.neurad.2018.05.006</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| subjects | Biomarkers, Tumor - analysis Cell Transformation, Neoplastic Diagnosis, Differential Female Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Malignant peripheral nerve sheath tumor Nerve Sheath Neoplasms - diagnostic imaging Nerve Sheath Neoplasms - pathology Neurofibromatosis 1 - diagnostic imaging Neurofibromatosis 1 - pathology Plexiform neurofibroma Positron emission tomography Positron Emission Tomography Computed Tomography Quantitative feature extraction Reproducibility of Results Retrospective Studies Young Adult |
| title | Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors |
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