Literature DB >> 31292692

Identifying patients with neuronal intranuclear inclusion disease in Singapore using characteristic diffusion-weighted MR images.

Wai-Yung Yu1,2, Zheyu Xu2,3, Hwei-Yee Lee4, Aya Tokumaru5, Jeanne M M Tan2,3, Adeline Ng2,3, Shigeo Murayama6, C C Tchoyoson Lim7,8.   

Abstract

PURPOSE: Adult-onset neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder described mainly in the Japanese population, with characteristic DWI abnormalities at the junction between gray and white matter. We identify possible cases of NIID in the picture archive and communication system (PACS) of a tertiary neurological referral hospital in Singapore and describe their radiological features.
METHODS: The neuroradiology imaging database was reviewed using keyword search of radiological reports to identify patients who had "subcortical U fibre" abnormalities on DWI. MRI were retrospectively reviewed, and those fulfilling inclusion criteria were invited for skin biopsy to detect nuclear inclusions by light and electron microscopy.
RESULTS: Twelve Chinese patients (nine female; median age 70.5 years) were enrolled. Seven patients were being assessed for dementia and five for other neurological indications. In all patients, DWI showed distinctive subcortical high signal with increased average apparent diffusion coefficient (ADC), involving frontal, parietal, and temporal more than occipital lobes; the corpus callosum and external capsule were affected in some patients. On T2-weighted images, cerebral and cerebellar atrophy and white matter hyperintensity of Fazekas grade 2 and above were seen in all patients. Three patients underwent skin biopsy; all were positive for intranuclear hyaline inclusion bodies on either p62 staining or electron microscopy, which are pathognomonic for NIID.
CONCLUSION: Previously undiagnosed patients with NIID can be identified by searching for abnormalities at the junction between gray and white matter on DWI in PACS and subsequently confirmed by skin biopsy. Radiologists should recognize the distinctive neuroimaging pattern of this dementing disease.

Entities:  

Keywords:  DWI; Dementia; MRI; Neuronal intranuclear inclusion disease (NIID); Picture archive and communication systems (PACS)

Year:  2019        PMID: 31292692     DOI: 10.1007/s00234-019-02257-2

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  51 in total

Review 1.  Big Data and the Future of Radiology Informatics.

Authors:  Akash P Kansagra; John-Paul J Yu; Arindam R Chatterjee; Leon Lenchik; Daniel S Chow; Adam B Prater; Jean Yeh; Ankur M Doshi; C Matthew Hawkins; Marta E Heilbrun; Stacy E Smith; Martin Oselkin; Pushpender Gupta; Sayed Ali
Journal:  Acad Radiol       Date:  2015-11-06       Impact factor: 3.173

Review 2.  Fragile X premutation carriers: A systematic review of neuroimaging findings.

Authors:  Stephanie S G Brown; Andrew C Stanfield
Journal:  J Neurol Sci       Date:  2015-03-27       Impact factor: 3.181

3.  Reply.

Authors:  A Sugiyama; N Sato
Journal:  AJNR Am J Neuroradiol       Date:  2018-08-02       Impact factor: 3.825

4.  Reply: Neuronal intranuclear (hyaline) inclusion disease and fragile X-associated tremor/ataxia syndrome: a morphological and molecular dilemma.

Authors:  Jun Sone; Tomohiko Nakamura; Haruki Koike; Masahisa Katsuno; Fumiaki Tanaka; Yasushi Iwasaki; Mari Yoshida; Gen Sobue
Journal:  Brain       Date:  2017-08-01       Impact factor: 13.501

5.  MRI diagnosis of neuronal intranuclear inclusion disease leukoencephalopathy.

Authors:  Suradech Suthiphosuwan; Sanskriti Sasikumar; David G Munoz; David K Chan; Walter J Montanera; Aditya Bharatha
Journal:  Neurol Clin Pract       Date:  2019-12

Review 6.  Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.

Authors:  Charlene Jy Liew; Pavitra Krishnaswamy; Lionel Te Cheng; Cher Heng Tan; Angeline Cc Poh; Tchoyoson Cc Lim
Journal:  Ann Acad Med Singapore       Date:  2019-01       Impact factor: 2.473

7.  MR Imaging Features of Adult-Onset Neuronal Intranuclear Inclusion Disease May Be Indistinguishable from Fragile X-Associated Tremor/Ataxia Syndrome.

Authors:  I G Padilha; R H Nunes; F A Scortegagna; J L Pedroso; V H Marussi; M R Rodrigues Gonçalves; O G P Barsottini; A J da Rocha
Journal:  AJNR Am J Neuroradiol       Date:  2018-08-02       Impact factor: 3.825

8.  Content-based image retrieval for brain MRI: an image-searching engine and population-based analysis to utilize past clinical data for future diagnosis.

Authors:  Andreia V Faria; Kenichi Oishi; Shoko Yoshida; Argye Hillis; Michael I Miller; Susumu Mori
Journal:  Neuroimage Clin       Date:  2015-01-15       Impact factor: 4.881

9.  Over 10 years MRI observation of a patient with neuronal intranuclear inclusion disease.

Authors:  Kazuo Abe; Masashi Fujita
Journal:  BMJ Case Rep       Date:  2017-02-24

10.  Clinicopathological features of adult-onset neuronal intranuclear inclusion disease.

Authors:  Jun Sone; Keiko Mori; Tomonori Inagaki; Ryu Katsumata; Shinnosuke Takagi; Satoshi Yokoi; Kunihiko Araki; Toshiyasu Kato; Tomohiko Nakamura; Haruki Koike; Hiroshi Takashima; Akihiro Hashiguchi; Yutaka Kohno; Takashi Kurashige; Masaru Kuriyama; Yoshihisa Takiyama; Mai Tsuchiya; Naoyuki Kitagawa; Michi Kawamoto; Hajime Yoshimura; Yutaka Suto; Hiroyuki Nakayasu; Naoko Uehara; Hiroshi Sugiyama; Makoto Takahashi; Norito Kokubun; Takuya Konno; Masahisa Katsuno; Fumiaki Tanaka; Yasushi Iwasaki; Mari Yoshida; Gen Sobue
Journal:  Brain       Date:  2016-10-25       Impact factor: 13.501

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  2 in total

1.  Neuronal intranuclear inclusion disease mimicking acute cerebellitis: A case report.

Authors:  Jiao-Jiao Guo; Zi-Yi Wang; Meng Wang; Zong-Zhi Jiang; Xue-Fan Yu
Journal:  World J Clin Cases       Date:  2020-12-06       Impact factor: 1.337

Review 2.  Clinical and mechanism advances of neuronal intranuclear inclusion disease.

Authors:  Yueqi Liu; Hao Li; Xuan Liu; Bin Wang; Hao Yang; Bo Wan; Miao Sun; Xingshun Xu
Journal:  Front Aging Neurosci       Date:  2022-09-13       Impact factor: 5.702

  2 in total

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