Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma.
Purpose: The peritumoral non-enhancing region (NER) is frequently not removed during the surgical resection of glioblastoma, with most recurrences occurring within the original treatment field. This study determined whether radiomics analysis of the NER can predict local recurrence and overall survi...
| Publicado en: | Neuroradiology Vol. 61; no. 11; pp. 1261 - 1273 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts randomized controlled trial Journal Article |
| Publicado: |
Springer Nature
Nov2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139365877&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139365877 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Nov2019 vid: 61 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139365877 139365877 139365877 10.1007/s00234-019-02255-4 139365877 ppf: 1261 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma. aug: au: Kim, Jung Youn Yoon, Min Jae Park, Ji Eun Choi, Eun Jung Lee, Jongho Kim, Ho Sung affil: Department of Radiology, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, 29 Saemunan-ro, Jongro-gu, 03181, Seoul, South Korea sug: subj: Radiography Methods Brain Radiography Cerebral Blood Volume Evaluation Glioma Diagnosis Disease Progression Diagnosis Neoplasm Recurrence, Local Diagnosis Glioma Prognosis Human Retrospective Design Randomized Controlled Trials Record Review Preoperative Period Magnetic Resonance Imaging Methods Contrast Media Recovery ROC Curve Karnofsky Performance Status Glioma Surgery Predictive Value of Tests ab: Purpose: The peritumoral non-enhancing region (NER) is frequently not removed during the surgical resection of glioblastoma, with most recurrences occurring within the original treatment field. This study determined whether radiomics analysis of the NER can predict local recurrence and overall survival in patients with glioblastoma. Methods: Preoperative magnetic resonance imaging (MRI) scans from 83 consecutive patients with glioblastoma were retrospectively reviewed and grouped into training (n = 59) and test sets (n = 24). A total of 6472 radiomic features were extracted from contrast-enhanced T1-weighted and fluid-attenuated inversion recovery images and from fractional anisotropy (FA) and normalized cerebral blood volume (CBV) maps. A diagnostic model to predict 6-month progression was tested using the area under the receiver operating characteristics curve (AUC) and compared with the single parameters of FA and CBV. A survival model was tested using Harrell's C-index and compared with clinical models that included age, sex, Karnofsky performance score, and extent of surgical resection. Results: Four FA features and six CBV features were selected for the diagnostic model; no features were extracted from conventional MRI. Combined FA and CBV radiomics showed better predictive value for local progression (AUC, 0.79; 95% CI, 0.67–0.90) than single imaging radiomics (AUC, 0.70–0.76) or single imaging parameters (AUC, 0.51–0.54). The combined model (C-index, 0.87) improved prognostication when added to clinical models (C-index, 0.72). Conclusion: Radiomics features using FA and CBV in the NER have the potential to improve prediction of local progression and overall survival in patients with glioblastoma. pubtype: Academic Journal doctype: diagnostic images research tables/charts randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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