Literature DB >> 28362236

Nonenhancing peritumoral hyperintense lesion on diffusion-weighted imaging in glioblastoma: a novel diagnostic and specific prognostic indicator.

Manish Kolakshyapati1, Rupendra B Adhikari1, Vega Karlowee1, Takeshi Takayasu1, Ryo Nosaka1, Vishwa J Amatya2, Yukio Takeshima2, Yuji Akiyama3, Kazuhiko Sugiyama4, Kaoru Kurisu1, Fumiyuki Yamasaki1.   

Abstract

OBJECTIVE Glioblastoma differentials include intracranial tumors, like malignant lymphomas and metastatic brain tumors with indiscernible radiological characteristics. The purpose of this study was to identify a distinct radiological feature for the preoperative differentiation of glioblastoma from its differentials, which include malignant lymphomas and metastatic brain tumors. METHODS Preoperative MR images, including diffusion-weighted imaging (DWI) studies (b = 1000 and 4000 sec/mm2), obtained in patients with newly diagnosed malignant tumor, were analyzed retrospectively after receiving approval from the institutional review board. Sixty-four patients with histologically confirmed glioblastoma, 32 patients with malignant lymphoma, and 46 patients with brain metastases were included. The presence of a nonenhancing peritumoral DWI high lesion (NePDHL, i.e., hyperintense lesion in a nonenhancing peritumoral area on DWI) was confirmed in both DWI sequences. Gray matter lesions were excluded. Lesions were termed "definite" if present within 3 cm of the hyperintense tumor border with a signal intensity ratio ≥ 30% when compared with the contralateral normal white matter in both sequences. Discriminant analysis between the histological diagnosis and the presence of Definite-NePDHL was performed, as well as Kaplan-Meier survival analysis incorporating the existence of Definite-NePDHL. RESULTS In 25% of glioblastoma patients, Definite-NePDHL was present, while it was conspicuously absent in patients with malignant lymphoma and metastatic brain tumors. The specificity and positive predictive value were 100%. In the glioblastoma subset, a higher preoperative Karnofsky Performance Scale score (p = 0.0028), high recursive partitioning analysis class (p = 0.0006), and total surgical removal (p = 0.0012) were associated with better median overall survival. Patients with Definite-NePDHL had significantly early local (p = 0.0467) and distant/dissemination recurrence (p < 0.0001) and poor prognosis (p = 0.0007). CONCLUSIONS The presence of Definite-NePDHL is very specific for glioblastoma and indicates poor prognosis. Definite-NePDHL is a significant indicator of early local and distant/dissemination recurrence in patients with glioblastoma. Studying peritumoral DWI and high-b-value DWI is useful for tumor differentiation.

Entities:  

Keywords:  ADC = apparent diffusion coefficient; ADCMIN = minimum absolute ADC; BBB = blood-brain barrier; CNWM = contralateral normal white matter; DTI = diffusion tensor imaging; DWI; DWI = diffusion-weighted imaging; IDH-1 = isocitrate dehydrogenase 1; KPS = Karnofsky Performance Scale; NePDHL = nonenhancing peritumoral DWI high lesion; ROI = region of interest; RPA = recursive partitioning analysis; SIR = signal intensity ratio; T1WI = T1-weighted imaging; T2*WI = T2*-weighted imaging; diffusion restriction; glioblastoma; high b-value; oncology; peritumoral region

Mesh:

Year:  2017        PMID: 28362236     DOI: 10.3171/2016.10.JNS161694

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  10 in total

1.  Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.

Authors:  Yikyung Kim; Hwan-Ho Cho; Sung Tae Kim; Hyunjin Park; Dohyun Nam; Doo-Sik Kong
Journal:  Neuroradiology       Date:  2018-09-19       Impact factor: 2.804

2.  Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.

Authors:  Guan-Min Quan; Yong-Li Zheng; Tao Yuan; Jian-Ming Lei
Journal:  J Neurooncol       Date:  2018-03-21       Impact factor: 4.130

3.  Multimodal imaging-defined subregions in newly diagnosed glioblastoma: impact on overall survival.

Authors:  Flóra John; Edit Bosnyák; Natasha L Robinette; Alit J Amit-Yousif; Geoffrey R Barger; Keval D Shah; Sharon K Michelhaugh; Neil V Klinger; Sandeep Mittal; Csaba Juhász
Journal:  Neuro Oncol       Date:  2019-02-14       Impact factor: 12.300

4.  Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionals.

Authors:  Yangsean Choi; Kook Jin Ahn; Yoonho Nam; Jinhee Jang; Na-Young Shin; Hyun Seok Choi; So-Lyung Jung; Bum-Soo Kim
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

5.  Multimodal MRI characteristics of the glioblastoma infiltration beyond contrast enhancement.

Authors:  Jiun-Lin Yan; Chao Li; Natalie R Boonzaier; Daniel M Fountain; Timothy J Larkin; Tomasz Matys; Anouk van der Hoorn; Stephen J Price
Journal:  Ther Adv Neurol Disord       Date:  2019-05-14       Impact factor: 6.570

6.  DTI Abnormalities Related to Glioblastoma: A Prospective Comparative Study with Metastasis and Healthy Subjects.

Authors:  Youssef El Ouadih; Bruno Pereira; Julian Biau; Béatrice Claise; Rémi Chaix; Pierre Verrelle; Toufik Khalil; Xavier Durando; Jean-Jacques Lemaire
Journal:  Curr Oncol       Date:  2022-04-16       Impact factor: 3.677

7.  Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding.

Authors:  Jan Brabec; Faris Durmo; Filip Szczepankiewicz; Patrik Brynolfsson; Björn Lampinen; Anna Rydelius; Linda Knutsson; Carl-Fredrik Westin; Pia C Sundgren; Markus Nilsson
Journal:  Front Neurosci       Date:  2022-04-21       Impact factor: 5.152

8.  Differentiation of malignant brain tumor types using intratumoral and peritumoral radiomic features.

Authors:  Dongming Liu; Jiu Chen; Honglin Ge; Xinhua Hu; Kun Yang; Yong Liu; Guanjie Hu; Bei Luo; Zhen Yan; Kun Song; Chaoyong Xiao; Yuanjie Zou; Wenbin Zhang; Hongyi Liu
Journal:  Front Oncol       Date:  2022-07-28       Impact factor: 5.738

9.  PLVAP is associated with glioma-associated malignant processes and immunosuppressive cell infiltration as a promising marker for prognosis.

Authors:  Kaiming Ma; Xin Chen; Xiaofang Zhao; Suhua Chen; Jun Yang
Journal:  Heliyon       Date:  2022-08-19

10.  Quantitative MRI using relaxometry in malignant gliomas detects contrast enhancement in peritumoral oedema.

Authors:  I Blystad; J B M Warntjes; Ö Smedby; P Lundberg; E-M Larsson; A Tisell
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

  10 in total

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