Literature DB >> 26280640

Diffusion-weighted imaging and the apparent diffusion coefficient on 3T MR imaging in the differentiation of craniopharyngiomas and germ cell tumors.

Yasuyuki Kinoshita1, Fumiyuki Yamasaki2, Atsushi Tominaga2, Megu Ohtaki3, Satoshi Usui2, Kazunori Arita4, Kazuhiko Sugiyama5, Kaoru Kurisu2.   

Abstract

The apparent diffusion coefficient (ADC) on diffusion-weighted imaging (DWI) plays an important role in diagnosing intracranial tumors and predicting the histopathological grade of the tumor. However, the differences in the ADC values between craniopharyngiomas and germ cell tumors (GCTs) have not been clarified. We therefore evaluated the DWI and ADC values at b = 1000 and b = 4000 s/mm(2) on 3T magnetic resonance (MR) imaging and assessed the possibility of differentiating between craniopharyngiomas and GCTs. We retrospectively reviewed 19 patients with craniopharyngioma and 24 patients with GCT who underwent surgery and received a histopathological diagnosis. Thirty-four patients underwent DWI with b = 1000 and b = 4000 s/mm(2) and nine patients underwent periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) DWI with b = 1000 s/mm(2). The ADC was determined by manually placing regions of interests (ROIs) in the respective tumor regions on the ADC maps and is expressed as the minimum (ADC(MIN)), mean (ADC(MEAN)), and maximum (ADC(MAX)) absolute values. The craniopharyngiomas showed lower intensity on DWI at b = 1000 and b = 4000 s/mm(2) than the GCTs. Furthermore, the craniopharyngiomas demonstrated significantly high ADC values (ADC(MIN), ADC(MEAN), and ADC(MAX)) in comparison with the GCTs on DWI at b = 1000 and b = 4000 s/mm(2). The logistic discriminant analysis clarified the advantage of ADC(MIN) at b = 4000 s/mm(2) in differentiating between craniopharyngiomas and GCTs compared with the other ADC values. DWI and the ADC values may help clinicians to differentiate between craniopharyngiomas and GCTs. The ADC(MIN) at b = 4000 s/mm(2) is particularly useful for differentiation.

Entities:  

Keywords:  Apparent diffusion coefficient; Craniopharyngioma; Diffusion-weighted imaging; Germ cell tumor; High b value

Mesh:

Year:  2015        PMID: 26280640     DOI: 10.1007/s10143-015-0660-0

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  18 in total

1.  Advantages of high b-value diffusion-weighted imaging to diagnose pseudo-responses in patients with recurrent glioma after bevacizumab treatment.

Authors:  Fumiyuki Yamasaki; Kaoru Kurisu; Tomokazu Aoki; Masami Yamanaka; Yoshinori Kajiwara; Yosuke Watanabe; Takeshi Takayasu; Yuji Akiyama; Kazuhiko Sugiyama
Journal:  Eur J Radiol       Date:  2011-11-17       Impact factor: 3.528

2.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

3.  High b-value diffusion (b = 3000 s/mm2) MR imaging in cerebral gliomas at 3T: visual and quantitative comparisons with b = 1000 s/mm2.

Authors:  H S Seo; K-H Chang; D G Na; B J Kwon; D H Lee
Journal:  AJNR Am J Neuroradiol       Date:  2007-12-07       Impact factor: 3.825

4.  Improved image quality and detection of acute cerebral infarction with PROPELLER diffusion-weighted MR imaging.

Authors:  Kirsten P Forbes; James G Pipe; John P Karis; Joseph E Heiserman
Journal:  Radiology       Date:  2002-11       Impact factor: 11.105

5.  Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms.

Authors:  Jonathan G Bull; Dawn E Saunders; Christopher A Clark
Journal:  Eur Radiol       Date:  2011-09-15       Impact factor: 5.315

6.  Distinguishing between germinomas and pineal cell tumors on MR imaging.

Authors:  N Dumrongpisutikul; J Intrapiromkul; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

7.  Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI.

Authors:  Yosuke Watanabe; Fumiyuki Yamasaki; Yoshinori Kajiwara; Takeshi Takayasu; Ryo Nosaka; Yuji Akiyama; Kazuhiko Sugiyama; Kaoru Kurisu
Journal:  Eur J Radiol       Date:  2013-01-10       Impact factor: 3.528

8.  Role of PROPELLER diffusion weighted imaging and apparent diffusion coefficient in the diagnosis of sellar and parasellar lesions.

Authors:  Omar M Mahmoud; Atsushi Tominaga; Vishwa Jeet Amatya; Megu Ohtaki; Kazuhiko Sugiyama; Taiichi Saito; Tetsuhiko Sakoguchi; Yasuyuki Kinoshita; Prabin Shrestha; Nobukazu Abe; Yuji Akiyama; Yukio Takeshima; Kazunori Arita; Kaoru Kurisu; Fumiyuki Yamasaki
Journal:  Eur J Radiol       Date:  2009-04-25       Impact factor: 3.528

9.  Predicting the histopathological grade of cerebral gliomas using high b value MR DW imaging at 3-tesla.

Authors:  Juan Alvarez-Linera; Julián Benito-León; Jose Escribano; G Rey
Journal:  J Neuroimaging       Date:  2008-05-05       Impact factor: 2.486

10.  Human chorionic gonadotrophin immunoactivity in cystic intracranial tumours.

Authors:  J Honegger; K Mann; P Thierauf; A Zrinzo; R Fahlbusch
Journal:  Clin Endocrinol (Oxf)       Date:  1995-03       Impact factor: 3.478

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  7 in total

1.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

Review 2.  Role of diffusion-weighted imaging in skull base lesions: A pictorial review.

Authors:  Neetu Soni; Nishant Gupta; Yogesh Kumar; Manisha Mangla; Rajiv Mangla
Journal:  Neuroradiol J       Date:  2017-06-20

3.  Accuracy of apparent diffusion coefficient values and magnetic resonance imaging in differentiating suprasellar germinomas from chiasmatic/hypothalamic gliomas.

Authors:  Theeraphol Panyaping; Piyakarn Taebunpakul; Oranan Tritanon
Journal:  Neuroradiol J       Date:  2020-03-20

4.  MRI features of pediatric intracranial germ cell tumor subtypes.

Authors:  Chih-Chun Wu; Wan-Yuo Guo; Feng-Chi Chang; Chao-Bao Luo; Han-Jui Lee; Yi-Wei Chen; Yi-Yen Lee; Tai-Tong Wong
Journal:  J Neurooncol       Date:  2017-05-27       Impact factor: 4.130

5.  Characterization of the murine orthotopic adamantinomatous craniopharyngioma PDX model by MRI in correlation with histology.

Authors:  Annett Hölsken; Marc Schwarz; Clarissa Gillmann; Christina Pfister; Michael Uder; Arnd Doerfler; Michael Buchfelder; Sven Schlaffer; Rudolf Fahlbusch; Rolf Buslei; Tobias Bäuerle
Journal:  PLoS One       Date:  2018-05-24       Impact factor: 3.240

Review 6.  Xanthogranuloma of the Sellar Region: A Comprehensive Review of Neuroimaging in a Rare Inflammatory Entity.

Authors:  Vera Lozovanu; Carmen Emanuela Georgescu; Lavinia Maria Florescu; Carmen Georgiu; Horatiu Silaghi; Andrian Fratea; Cristina Alina Silaghi
Journal:  J Pers Med       Date:  2022-06-08

7.  Differentiation between Germinoma and Craniopharyngioma Using Radiomics-Based Machine Learning.

Authors:  Boran Chen; Chaoyue Chen; Yang Zhang; Zhouyang Huang; Haoran Wang; Ruoyu Li; Jianguo Xu
Journal:  J Pers Med       Date:  2022-01-04
  7 in total

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