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Quantitative Diffusion Tensor Imaging Analysis of Low-Grade Gliomas: From Preclinical Application to Patient Care
Preoperative diffusion tensor tractography (DTT) has recently been used to aid in the mapping of functional pathways to limit damage associated with resection of low-grade gliomas (LGGs). To assess the predictive capacity of DTT as a biomarker of postoperative motor outcomes in patients with LGGs in...
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| Published in: | World neurosurgery 2017-01, Vol.97, p.333-343 |
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| creator | Ius, Tamara Turella, Luca Pauletto, Giada Isola, Miriam Maieron, Marta Sciacca, Giovanni Budai, Riccardo D’Agostini, Serena Eleopra, Roberto Skrap, Miran |
| description | Preoperative diffusion tensor tractography (DTT) has recently been used to aid in the mapping of functional pathways to limit damage associated with resection of low-grade gliomas (LGGs).
To assess the predictive capacity of DTT as a biomarker of postoperative motor outcomes in patients with LGGs involving the corticospinal tract (CST). CST parameters obtained using a quantitative fiber tracking approach were used to investigate the reliability of the DTT biomarker by comparing their values in the tumoral (Tcst) and healthy (Hcst) hemispheres.
Thirty-seven patients with LGGs involving the CST were enrolled. Quantification of structural differences between the Tcst and Hcst were analyzed according to the novel biomarker (NF index), defined as follows: (Hcst NF – Tcst NF)/Hcst NF, where NF represents the number of fibers in each region. Logistic regression analysis was used to examine associations among clinical postoperative outcomes and NF index values, tumoral patterns, and premotor/motor evoked potentials.
NF values significantly differed between the Tcst and Hcst. Analysis of the NF index showed that patients with a preoperative NF index |
| doi_str_mv | 10.1016/j.wneu.2016.10.006 |
| format | article |
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To assess the predictive capacity of DTT as a biomarker of postoperative motor outcomes in patients with LGGs involving the corticospinal tract (CST). CST parameters obtained using a quantitative fiber tracking approach were used to investigate the reliability of the DTT biomarker by comparing their values in the tumoral (Tcst) and healthy (Hcst) hemispheres.
Thirty-seven patients with LGGs involving the CST were enrolled. Quantification of structural differences between the Tcst and Hcst were analyzed according to the novel biomarker (NF index), defined as follows: (Hcst NF – Tcst NF)/Hcst NF, where NF represents the number of fibers in each region. Logistic regression analysis was used to examine associations among clinical postoperative outcomes and NF index values, tumoral patterns, and premotor/motor evoked potentials.
NF values significantly differed between the Tcst and Hcst. Analysis of the NF index showed that patients with a preoperative NF index <0.22 had a significantly lower risk of developing transient postoperative deficits (area under the curve, 0.92; 95% binomial confidence interval, 0.834–1). Patients with less pronounced differences in NF between the Tcst and Hcst also experienced better clinical outcomes.
The NF index may be a useful biomarker for predicting clinical outcomes in patients with LGGs. Furthermore, the NF index may provide a preoperative estimate of the patient's potential for recovery from possible postsurgical neurologic deficits.</description><identifier>ISSN: 1878-8750</identifier><identifier>EISSN: 1878-8769</identifier><identifier>DOI: 10.1016/j.wneu.2016.10.006</identifier><identifier>PMID: 27744082</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Brain mapping ; Brain Neoplasms - epidemiology ; Brain Neoplasms - pathology ; Brain Neoplasms - surgery ; Comorbidity ; Diffusion Tensor Imaging - statistics & numerical data ; Diffusion tensor imaging analysis ; Early Diagnosis ; Extent of resection ; Female ; Glioma - epidemiology ; Glioma - pathology ; Glioma - surgery ; Humans ; Intraoperative electric stimulation ; Italy - epidemiology ; Low-grade gliomas ; Male ; Middle Aged ; Motor evoked potentials ; Movement Disorders - diagnosis ; Movement Disorders - epidemiology ; Movement Disorders - prevention & control ; Neoplasm Grading ; Patient-Centered Care - methods ; Postoperative Complications - diagnosis ; Postoperative Complications - epidemiology ; Postoperative Complications - prevention & control ; Preoperative Care ; Prevalence ; Prognosis ; Reproducibility of Results ; Retrospective Studies ; Risk Factors ; Sensitivity and Specificity ; White Matter - diagnostic imaging ; White Matter - pathology ; Young Adult</subject><ispartof>World neurosurgery, 2017-01, Vol.97, p.333-343</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c426t-9bef5d58398030c34f8c1a280f938e0b75857c9da7e2078b61cdf79db29a07623</citedby><cites>FETCH-LOGICAL-c426t-9bef5d58398030c34f8c1a280f938e0b75857c9da7e2078b61cdf79db29a07623</cites><orcidid>0000-0003-4358-8505</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27744082$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ius, Tamara</creatorcontrib><creatorcontrib>Turella, Luca</creatorcontrib><creatorcontrib>Pauletto, Giada</creatorcontrib><creatorcontrib>Isola, Miriam</creatorcontrib><creatorcontrib>Maieron, Marta</creatorcontrib><creatorcontrib>Sciacca, Giovanni</creatorcontrib><creatorcontrib>Budai, Riccardo</creatorcontrib><creatorcontrib>D’Agostini, Serena</creatorcontrib><creatorcontrib>Eleopra, Roberto</creatorcontrib><creatorcontrib>Skrap, Miran</creatorcontrib><title>Quantitative Diffusion Tensor Imaging Analysis of Low-Grade Gliomas: From Preclinical Application to Patient Care</title><title>World neurosurgery</title><addtitle>World Neurosurg</addtitle><description>Preoperative diffusion tensor tractography (DTT) has recently been used to aid in the mapping of functional pathways to limit damage associated with resection of low-grade gliomas (LGGs).
To assess the predictive capacity of DTT as a biomarker of postoperative motor outcomes in patients with LGGs involving the corticospinal tract (CST). CST parameters obtained using a quantitative fiber tracking approach were used to investigate the reliability of the DTT biomarker by comparing their values in the tumoral (Tcst) and healthy (Hcst) hemispheres.
Thirty-seven patients with LGGs involving the CST were enrolled. Quantification of structural differences between the Tcst and Hcst were analyzed according to the novel biomarker (NF index), defined as follows: (Hcst NF – Tcst NF)/Hcst NF, where NF represents the number of fibers in each region. Logistic regression analysis was used to examine associations among clinical postoperative outcomes and NF index values, tumoral patterns, and premotor/motor evoked potentials.
NF values significantly differed between the Tcst and Hcst. Analysis of the NF index showed that patients with a preoperative NF index <0.22 had a significantly lower risk of developing transient postoperative deficits (area under the curve, 0.92; 95% binomial confidence interval, 0.834–1). Patients with less pronounced differences in NF between the Tcst and Hcst also experienced better clinical outcomes.
The NF index may be a useful biomarker for predicting clinical outcomes in patients with LGGs. Furthermore, the NF index may provide a preoperative estimate of the patient's potential for recovery from possible postsurgical neurologic deficits.</description><subject>Adult</subject><subject>Aged</subject><subject>Brain mapping</subject><subject>Brain Neoplasms - epidemiology</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain Neoplasms - surgery</subject><subject>Comorbidity</subject><subject>Diffusion Tensor Imaging - statistics & numerical data</subject><subject>Diffusion tensor imaging analysis</subject><subject>Early Diagnosis</subject><subject>Extent of resection</subject><subject>Female</subject><subject>Glioma - epidemiology</subject><subject>Glioma - pathology</subject><subject>Glioma - surgery</subject><subject>Humans</subject><subject>Intraoperative electric stimulation</subject><subject>Italy - epidemiology</subject><subject>Low-grade gliomas</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Motor evoked potentials</subject><subject>Movement Disorders - diagnosis</subject><subject>Movement Disorders - epidemiology</subject><subject>Movement Disorders - prevention & control</subject><subject>Neoplasm Grading</subject><subject>Patient-Centered Care - methods</subject><subject>Postoperative Complications - diagnosis</subject><subject>Postoperative Complications - epidemiology</subject><subject>Postoperative Complications - prevention & control</subject><subject>Preoperative Care</subject><subject>Prevalence</subject><subject>Prognosis</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>White Matter - diagnostic imaging</subject><subject>White Matter - pathology</subject><subject>Young Adult</subject><issn>1878-8750</issn><issn>1878-8769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kE9r3DAQxUVpaUKaL5BD0bEXb_THtuTSy7JNNoGFppCchSyPghZb2khyQr59ZTbNMXOZx-PNg_khdEHJihLaXu5XLx7mFSu6GCtC2k_olEohKyna7vO7bsgJOk9pT8pwWkvBv6ITJkRdE8lO0dPfWfvsss7uGfBvZ-2cXPD4HnwKEd9O-tH5R7z2enxNLuFg8S68VNuoB8Db0YVJp5_4OoYJ30Uwo_PO6BGvD4exiLxU5YDvigKf8UZH-Ia-WD0mOH_bZ-jh-up-c1Pt_mxvN-tdZWrW5qrrwTZDI3knCSeG11YaqpkktuMSSC8a2QjTDVoAI0L2LTWDFd3Qs04T0TJ-hn4cew8xPM2QsppcMjCO2kOYk6KSN3UtGG9KlB2jJoaUIlh1iG7S8VVRohbaaq8W2mqhvXiFdjn6_tY_9xMM7yf_2ZbAr2MAypfPDqJKplAwMLhCKqshuI_6_wHeLJEA</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Ius, Tamara</creator><creator>Turella, Luca</creator><creator>Pauletto, Giada</creator><creator>Isola, Miriam</creator><creator>Maieron, Marta</creator><creator>Sciacca, Giovanni</creator><creator>Budai, Riccardo</creator><creator>D’Agostini, Serena</creator><creator>Eleopra, Roberto</creator><creator>Skrap, Miran</creator><general>Elsevier Inc</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><orcidid>https://orcid.org/0000-0003-4358-8505</orcidid></search><sort><creationdate>201701</creationdate><title>Quantitative Diffusion Tensor Imaging Analysis of Low-Grade Gliomas: From Preclinical Application to Patient Care</title><author>Ius, Tamara ; Turella, Luca ; Pauletto, Giada ; Isola, Miriam ; Maieron, Marta ; Sciacca, Giovanni ; Budai, Riccardo ; D’Agostini, Serena ; Eleopra, Roberto ; Skrap, Miran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-9bef5d58398030c34f8c1a280f938e0b75857c9da7e2078b61cdf79db29a07623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Brain mapping</topic><topic>Brain Neoplasms - epidemiology</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain Neoplasms - surgery</topic><topic>Comorbidity</topic><topic>Diffusion Tensor Imaging - statistics & numerical data</topic><topic>Diffusion tensor imaging analysis</topic><topic>Early Diagnosis</topic><topic>Extent of resection</topic><topic>Female</topic><topic>Glioma - epidemiology</topic><topic>Glioma - pathology</topic><topic>Glioma - surgery</topic><topic>Humans</topic><topic>Intraoperative electric stimulation</topic><topic>Italy - epidemiology</topic><topic>Low-grade gliomas</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Motor evoked potentials</topic><topic>Movement Disorders - diagnosis</topic><topic>Movement Disorders - epidemiology</topic><topic>Movement Disorders - prevention & control</topic><topic>Neoplasm Grading</topic><topic>Patient-Centered Care - methods</topic><topic>Postoperative Complications - diagnosis</topic><topic>Postoperative Complications - epidemiology</topic><topic>Postoperative Complications - prevention & control</topic><topic>Preoperative Care</topic><topic>Prevalence</topic><topic>Prognosis</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>White Matter - diagnostic imaging</topic><topic>White Matter - pathology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ius, Tamara</creatorcontrib><creatorcontrib>Turella, Luca</creatorcontrib><creatorcontrib>Pauletto, Giada</creatorcontrib><creatorcontrib>Isola, Miriam</creatorcontrib><creatorcontrib>Maieron, Marta</creatorcontrib><creatorcontrib>Sciacca, Giovanni</creatorcontrib><creatorcontrib>Budai, Riccardo</creatorcontrib><creatorcontrib>D’Agostini, Serena</creatorcontrib><creatorcontrib>Eleopra, Roberto</creatorcontrib><creatorcontrib>Skrap, Miran</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><jtitle>World neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ius, Tamara</au><au>Turella, Luca</au><au>Pauletto, Giada</au><au>Isola, Miriam</au><au>Maieron, Marta</au><au>Sciacca, Giovanni</au><au>Budai, Riccardo</au><au>D’Agostini, Serena</au><au>Eleopra, Roberto</au><au>Skrap, Miran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Diffusion Tensor Imaging Analysis of Low-Grade Gliomas: From Preclinical Application to Patient Care</atitle><jtitle>World neurosurgery</jtitle><addtitle>World Neurosurg</addtitle><date>2017-01</date><risdate>2017</risdate><volume>97</volume><spage>333</spage><epage>343</epage><pages>333-343</pages><issn>1878-8750</issn><eissn>1878-8769</eissn><abstract>Preoperative diffusion tensor tractography (DTT) has recently been used to aid in the mapping of functional pathways to limit damage associated with resection of low-grade gliomas (LGGs).
To assess the predictive capacity of DTT as a biomarker of postoperative motor outcomes in patients with LGGs involving the corticospinal tract (CST). CST parameters obtained using a quantitative fiber tracking approach were used to investigate the reliability of the DTT biomarker by comparing their values in the tumoral (Tcst) and healthy (Hcst) hemispheres.
Thirty-seven patients with LGGs involving the CST were enrolled. Quantification of structural differences between the Tcst and Hcst were analyzed according to the novel biomarker (NF index), defined as follows: (Hcst NF – Tcst NF)/Hcst NF, where NF represents the number of fibers in each region. Logistic regression analysis was used to examine associations among clinical postoperative outcomes and NF index values, tumoral patterns, and premotor/motor evoked potentials.
NF values significantly differed between the Tcst and Hcst. Analysis of the NF index showed that patients with a preoperative NF index <0.22 had a significantly lower risk of developing transient postoperative deficits (area under the curve, 0.92; 95% binomial confidence interval, 0.834–1). Patients with less pronounced differences in NF between the Tcst and Hcst also experienced better clinical outcomes.
The NF index may be a useful biomarker for predicting clinical outcomes in patients with LGGs. Furthermore, the NF index may provide a preoperative estimate of the patient's potential for recovery from possible postsurgical neurologic deficits.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27744082</pmid><doi>10.1016/j.wneu.2016.10.006</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4358-8505</orcidid></addata></record> |
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| subjects | Adult Aged Brain mapping Brain Neoplasms - epidemiology Brain Neoplasms - pathology Brain Neoplasms - surgery Comorbidity Diffusion Tensor Imaging - statistics & numerical data Diffusion tensor imaging analysis Early Diagnosis Extent of resection Female Glioma - epidemiology Glioma - pathology Glioma - surgery Humans Intraoperative electric stimulation Italy - epidemiology Low-grade gliomas Male Middle Aged Motor evoked potentials Movement Disorders - diagnosis Movement Disorders - epidemiology Movement Disorders - prevention & control Neoplasm Grading Patient-Centered Care - methods Postoperative Complications - diagnosis Postoperative Complications - epidemiology Postoperative Complications - prevention & control Preoperative Care Prevalence Prognosis Reproducibility of Results Retrospective Studies Risk Factors Sensitivity and Specificity White Matter - diagnostic imaging White Matter - pathology Young Adult |
| title | Quantitative Diffusion Tensor Imaging Analysis of Low-Grade Gliomas: From Preclinical Application to Patient Care |
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