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The correlation of fractional anisotropy parameters with Ki-67 index, and the clinical implication in grading of non-enhancing gliomas and neuronal-glial tumors.
Liu, Xiang; Tian, Wei; Kolar, Balasubramanya; Johnson, Mahlon D; Milano, Michael T; Jiang, Haihui; Lin, Song; Li, Dongmei; Mohile, Nimish A; Li, Yan M; Walter, Kevin A; Ekholm, Sven; Wang, Henry Z.
Afiliação
  • Liu X; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA. Electronic address: Xiang_Liu@URMC.Rochester.edu.
  • Tian W; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Kolar B; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Johnson MD; Department of Pathology, University of Rochester Medical Center, Rochester, NY, USA.
  • Milano MT; Department of Radiation Oncology, University of Rochester Medical Center, Rochester, NY, USA.
  • Jiang H; Department of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
  • Lin S; Department of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
  • Li D; Clinical and Translational Research and Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Mohile NA; Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA.
  • Li YM; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Walter KA; Department of Neurosurgery, University of Rochester Medical Center, Rochester, NY, USA.
  • Ekholm S; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Wang HZ; Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Magn Reson Imaging ; 65: 129-135, 2020 01.
Article em En | MEDLINE | ID: mdl-31644925
ABSTRACT

PURPOSE:

To investigate the correlation between the FA parameters and Ki-67 labeling index, and their diagnostic performance in grading supratentorial non-enhancing gliomas and neuronal-glial tumors (GNGT).

METHODS:

This institutional review board-approved, Health Insurance Portability and Accountability (HIPAA) compliant retrospective study enrolled 35 patients, including 19 with low grade GNGT and 16 with high grade GNGT. The mean FA, maximal FA and mean maximal FA values derived from diffusion tensor imaging were measured. The correlation between the FA parameters and the Ki-67 labeling index was assessed by Spearman rank test. The receiver operating characteristic curve analysis and multivariate logistic regression analysis were performed to detect the optimal imaging parameters in grading GNGT.

RESULTS:

The three FA parameters of low grade GNGT were significantly lower than the high grade GNGT (p < 0.001). The mean FA, maximal FA and mean maximal FA had significant positive correlation with Ki-67 labeling index (p = 0.001, p < 0.001, p < 0.001 respectively). The maximal FA showed a higher sensitivity and specificity in grading of non-enhancing GNGT with specificity of 78.9%, sensitivity of 100.0%, respectively.

CONCLUSIONS:

The FA parameters correlated with Ki-67 labeling index, and were useful surrogates in preoperative grading supratentorial non-enhancing GNGT.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Anisotropia / Imagem de Tensor de Difusão / Glioma Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Anisotropia / Imagem de Tensor de Difusão / Glioma Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2020 Tipo de documento: Article