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  • Durmo, FarisLund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine (author)

Brain Tumor Characterization Using Multibiometric Evaluation of MRI

  • Article/chapterEnglish2018

Publisher, publication year, extent ...

  • 2018-03-01
  • MDPI AG,2018
  • 12 s.

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:0b04a04b-c71d-4b57-b26d-08c7214369f1
  • https://lup.lub.lu.se/record/0b04a04b-c71d-4b57-b26d-08c7214369f1URI
  • https://doi.org/10.18383/j.tom.2017.00020DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • The aim was to evaluate volume, diffusion, and perfusion metrics for better presurgical differentiation between high-grade gliomas (HGG), low-grade gliomas (LGG), and metastases (MET). For this retrospective study, 43 patients with histologically verified intracranial HGG (n = 18), LGG (n = 10), and MET (n = 15) were chosen. Preoperative magnetic resonance data included pre- and post-gadolinium contrast-enhanced T1-weighted fluid-attenuated inversion recover, cerebral blood flow (CBF), cerebral blood volume (CBV), fractional anisotropy, and apparent diffusion coefficient maps used for quantification of magnetic resonance biometrics by manual delineation of regions of interest. A binary logistic regression model was applied for multiparametric analysis and receiver operating characteristic (ROC) analysis. Statistically significant differences were found for normalized-ADC-tumor (nADC-T), normalized-CBF-tumor (nCBF-T), normalized-CBV-tumor (nCBV-T), and normalized-CBF-edema (nCBF-E) between LGG and HGG, and when these metrics were combined, HGG could be distinguished from LGG with a sensitivity and specificity of 100%. The only metric to distinguish HGG from MET was the normalized-ADC-E with a sensitivity of 68.8% and a specificity of 80%. LGG can be distinguished from MET by combining edema volume (Vol-E), Vol-E/tumor volume (Vol-T), nADC-T, nCBF-T, nCBV-T, and nADC-E with a sensitivity of 93.3% and a specificity of 100%. The present study confirms the usability of a multibiometric approach including volume, perfusion, and diffusion metrics in differentially diagnosing brain tumors in preoperative patients and adds to the growing body of evidence in the clinical field in need of validation and standardization.

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  • Lätt, JimmySkåne University Hospital(Swepub:lu)radf-jla (author)
  • Rydelius, AnnaLund University,Lunds universitet,Neuroradiologi,Forskargrupper vid Lunds universitet,Neuroradiology,Lund University Research Groups(Swepub:lu)neur-ary (author)
  • Engelholm, SilkeLund University (author)
  • Kinhult, SaraLund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)onk-sk0 (author)
  • Askaner, KristerLund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,Skåne University Hospital(Swepub:lu)med-kea (author)
  • Englund, ElisabetLund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)pat-een (author)
  • Bengzon, JohanLund University,Lunds universitet,Neurokirurgi,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neurosurgery,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine(Swepub:lu)neur-jbe (author)
  • Nilsson, MarkusLund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Lund University Bioimaging Center,MR Physics,Forskargrupper vid Lunds universitet,Multidimensional microstructure imaging,Neuroradiologi,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups,Neuroradiology(Swepub:lu)med-mun (author)
  • Björkman-Burtscher, Isabella MLund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Lund University Bioimaging Center,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital(Swepub:lu)drad-ibu (author)
  • Chenevert, ThomasUniversity of Michigan (author)
  • Knutsson, LindaLund University,Lunds universitet,Medicinsk strålningsfysik, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,MR Physics,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups,Johns Hopkins University School of Medicine(Swepub:lu)rafy-lan (author)
  • Sundgren, Pia CLund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Neuroradiologi,Forskargrupper vid Lunds universitet,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Neuroradiology,Lund University Research Groups,Skåne University Hospital,University of Michigan(Swepub:lu)med-psu (author)
  • Diagnostisk radiologi, LundSektion V (creator_code:org_t)

Related titles

  • In:Tomography : a journal for imaging research: MDPI AG4:1, s. 14-252379-1381
  • In:Tomography: MDPI AG4:1, s. 14-252379-139X

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