Literature DB >> 27003139

Grading diffuse gliomas without intense contrast enhancement by amide proton transfer MR imaging: comparisons with diffusion- and perfusion-weighted imaging.

Osamu Togao1, Akio Hiwatashi2, Koji Yamashita1, Kazufumi Kikuchi1, Jochen Keupp3, Koji Yoshimoto4, Daisuke Kuga4, Masami Yoneyama5, Satoshi O Suzuki6, Toru Iwaki6, Masaya Takahashi7, Koji Iihara4, Hiroshi Honda1.   

Abstract

OBJECTIVES: To investigate whether amide proton transfer (APT) MR imaging can differentiate high-grade gliomas (HGGs) from low-grade gliomas (LGGs) among gliomas without intense contrast enhancement (CE).
METHODS: This retrospective study evaluated 34 patients (22 males, 12 females; age 36.0 ± 11.3 years) including 20 with LGGs and 14 with HGGs, all scanned on a 3T MR scanner. Only tumours without intense CE were included. Two neuroradiologists independently performed histogram analyses to measure the 90th-percentile (APT90) and mean (APTmean) of the tumours' APT signals. The apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) were also measured. The parameters were compared between the groups with Student's t-test. Diagnostic performance was evaluated with receiver operating characteristic (ROC) analysis.
RESULTS: The APT90 (2.80 ± 0.59 % in LGGs, 3.72 ± 0.89 in HGGs, P = 0.001) and APTmean (1.87 ± 0.49 % in LGGs, 2.70 ± 0.58 in HGGs, P = 0.0001) were significantly larger in the HGGs compared to the LGGs. The ADC and rCBV values were not significantly different between the groups. Both the APT90 and APTmean showed medium diagnostic performance in this discrimination.
CONCLUSIONS: APT imaging is useful in discriminating HGGs from LGGs among diffuse gliomas without intense CE. KEY POINTS: • Amide proton transfer (APT) imaging helps in grading non-enhancing gliomas • High-grade gliomas showed higher APT signal than low-grade gliomas • APT imaging showed better diagnostic performance than diffusion- and perfusion-weighted imaging.

Entities:  

Keywords:  Amide proton transfer imaging; Brain tumour; Chemical exchange saturation transfer; Glioma; MR imaging

Mesh:

Substances:

Year:  2016        PMID: 27003139     DOI: 10.1007/s00330-016-4328-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  24 in total

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2.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

3.  Usefulness of diffusion/perfusion-weighted MRI in patients with non-enhancing supratentorial brain gliomas: a valuable tool to predict tumour grading?

Authors:  G G Fan; Q L Deng; Z H Wu; Q Y Guo
Journal:  Br J Radiol       Date:  2006-04-26       Impact factor: 3.039

4.  MR imaging of high-grade brain tumors using endogenous protein and peptide-based contrast.

Authors:  Zhibo Wen; Shuguang Hu; Fanheng Huang; Xianlong Wang; Linglang Guo; Xianyue Quan; Silun Wang; Jinyuan Zhou
Journal:  Neuroimage       Date:  2010-02-24       Impact factor: 6.556

5.  Grading glial tumors with amide proton transfer MR imaging: different analytical approaches.

Authors:  Akihiko Sakata; Tomohisa Okada; Akira Yamamoto; Mitsunori Kanagaki; Yasutaka Fushimi; Tsutomu Okada; Toshiki Dodo; Yoshiki Arakawa; Benjamin Schmitt; Susumu Miyamoto; Kaori Togashi
Journal:  J Neurooncol       Date:  2015-01-06       Impact factor: 4.130

6.  Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas.

Authors:  Tracy R McKnight; Kathleen R Lamborn; Tonya D Love; Mitchel S Berger; Susan Chang; William P Dillon; Andrew Bollen; Sarah J Nelson
Journal:  J Neurosurg       Date:  2007-04       Impact factor: 5.115

7.  MR imaging of adult supratentorial astrocytomas: an attempt of semi-automatic grading.

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Journal:  Radiat Med       Date:  1995 Jan-Feb

8.  Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: Application to a rat glioma model at 4.7 Tesla.

Authors:  Hye-Young Heo; Yi Zhang; Dong-Hoon Lee; Xiaohua Hong; Jinyuan Zhou
Journal:  Magn Reson Med       Date:  2015-03-05       Impact factor: 4.668

9.  Grading of astrocytomas. A simple and reproducible method.

Authors:  C Daumas-Duport; B Scheithauer; J O'Fallon; P Kelly
Journal:  Cancer       Date:  1988-11-15       Impact factor: 6.860

10.  Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient.

Authors:  E J Lee; S K Lee; R Agid; J M Bae; A Keller; K Terbrugge
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

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  30 in total

1.  Evaluating the Role of Amide Proton Transfer (APT)-Weighted Contrast, Optimized for Normalization and Region of Interest Selection, in Differentiation of Neoplastic and Infective Mass Lesions on 3T MRI.

Authors:  Ayan Debnath; Rakesh Kumar Gupta; Anup Singh
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

Review 2.  Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions.

Authors:  Kiyohisa Kamimura; Masanori Nakajo; Tomohide Yoneyama; Koji Takumi; Yuichi Kumagae; Yoshihiko Fukukura; Takashi Yoshiura
Journal:  Jpn J Radiol       Date:  2018-10-19       Impact factor: 2.374

Review 3.  Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.

Authors:  Alipi V Bonm; Reed Ritterbusch; Patrick Throckmorton; Jerome J Graber
Journal:  J Neuroimaging       Date:  2020-01-10       Impact factor: 2.486

Review 4.  The Applicability of Amide Proton Transfer Imaging in the Nervous System: Focus on Hypoxic-Ischemic Encephalopathy in the Neonate.

Authors:  Yang Zheng; Xiaoming Wang
Journal:  Cell Mol Neurobiol       Date:  2017-09-23       Impact factor: 5.046

5.  Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma.

Authors:  Jinhua Yu; Zhifeng Shi; Yuxi Lian; Zeju Li; Tongtong Liu; Yuan Gao; Yuanyuan Wang; Liang Chen; Ying Mao
Journal:  Eur Radiol       Date:  2016-12-21       Impact factor: 5.315

6.  Prognostic relevance of gemistocytic grade II astrocytoma: gemistocytic component and MR imaging features compared to non-gemistocytic grade II astrocytoma.

Authors:  Young Jin Heo; Ji Eun Park; Ho Sung Kim; Ji Ye Lee; Soo Jeong Nam; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Eur Radiol       Date:  2016-11-17       Impact factor: 5.315

7.  Applying protein-based amide proton transfer MR imaging to distinguish solitary brain metastases from glioblastoma.

Authors:  Hao Yu; Huiling Lou; Tianyu Zou; Xianlong Wang; Shanshan Jiang; Zhongqing Huang; Yongxing Du; Chunxiu Jiang; Ling Ma; Jianbin Zhu; Wen He; Qihong Rui; Jianyuan Zhou; Zhibo Wen
Journal:  Eur Radiol       Date:  2017-05-22       Impact factor: 5.315

8.  Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics.

Authors:  Shanshan Jiang; Qihong Rui; Yu Wang; Hye-Young Heo; Tianyu Zou; Hao Yu; Yi Zhang; Xianlong Wang; Yongxing Du; Xinrui Wen; Fangyao Chen; Jihong Wang; Charles G Eberhart; Jinyuan Zhou; Zhibo Wen
Journal:  Eur Radiol       Date:  2017-12-12       Impact factor: 5.315

9.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

10.  Histogram analysis of amide proton transfer-weighted imaging: comparison of glioblastoma and solitary brain metastasis in enhancing tumors and peritumoral regions.

Authors:  Kiyohisa Kamimura; Masanori Nakajo; Tomohide Yoneyama; Yoshihiko Fukukura; Hirofumi Hirano; Yuko Goto; Masashi Sasaki; Yuta Akamine; Jochen Keupp; Takashi Yoshiura
Journal:  Eur Radiol       Date:  2018-11-28       Impact factor: 5.315

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