Literature DB >> 27502085

Diagnostic accuracy of nerve ultrasound in hereditary and sporadic non-entrapment neuropathies.

Kai F Loewenbrück1, Markus Dittrich1,2, Josef Böhm3, Jürgen Klingelhöfer4, Petra Baum5, Jochen Schäfer6, Rainer Koch7, Alexander Storch8,9.   

Abstract

The objective of this study is to compare the diagnostic accuracy of nerve ultrasound (US) and nerve conduction studies (NCS) for acquired non-entrapment peripheral neuropathies (PNP) and hereditary motor and sensory neuropathies (HMSN) in a routine clinical setting. The methods are based on a single-center, prospective, examiner-blinded cross-sectional study on three subject groups of healthy controls, PNP (both enrolled by a consecutive recruitment strategy), and HMSN patients (convenience sample). A clinical reference standard based on the neuropathy impairment (NIS) and neuropathy symptoms scores (NSS) was used for PNP as the external validation criterion. Diagnostic accuracy was assessed by receiver-operating curve (ROC) analyses of single-nerve measurements and logit models. Of a total of 676 consecutively screened subjects, 107 (15.8 %) were recruited, of which 36 (33.6 %) had a PNP. HMSN group consisted of 53 subjects (30 subjects (56.6 %) with genetic confirmation). AUCs of best diagnostic logit models to distinguish between controls and PNP patients were 0.86 for US and 0.97 for NCS corresponding to an equivalent specificity [US 93 % (95 % CI: 83-98 %), NCS 89 % (95 % CI: 78-95 %)], but inferior sensitivity of US [US 56 % (95 % CI: 35-74 %), NCS 97 % (95 % CI: 84-100 %)]. For differentiation between PNP and HMSN, both methods had equivalent AUCs of 0.95 corresponding to similar sensitivities/specificities. Simpler diagnostic models based on measurement protocols feasible for clinical routine revealed similar diagnostic accuracies. US has an inferior sensitivity than NCS for acquired PNP, but comparable specificity. For identification of HMSN in a PNP population, US and NCS show comparable performance.

Entities:  

Keywords:  CMT; Diagnosis; Electrophysiology; HMSN; NCS; Nerve conduction studies; Nerve ultrasound; PNP; Peripheral neuropathy

Mesh:

Year:  2016        PMID: 27502085     DOI: 10.1007/s00415-016-8242-9

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  21 in total

1.  Nerve ultrasound score in distinguishing chronic from acute inflammatory demyelinating polyneuropathy.

Authors:  A Kerasnoudis; K Pitarokoili; V Behrendt; R Gold; M-S Yoon
Journal:  Clin Neurophysiol       Date:  2013-09-23       Impact factor: 3.708

2.  The gene for HMSN2C maps to 12q23-24: a region of neuromuscular disorders.

Authors:  C J Klein; J M Cunningham; E J Atkinson; D J Schaid; S J Hebbring; S A Anderson; D M Klein; P J B Dyck; W J Litchy; S N Thibodeau; P J Dyck
Journal:  Neurology       Date:  2003-04-08       Impact factor: 9.910

3.  Sonographic evaluation of the peripheral nerve in diabetic patients: the relationship between nerve conduction studies, echo intensity, and cross-sectional area.

Authors:  Tsuneo Watanabe; Hiroyasu Ito; Ayako Sekine; Yuriko Katano; Takashi Nishimura; Yoshihiro Kato; Jun Takeda; Mitsuru Seishima; Toshio Matsuoka
Journal:  J Ultrasound Med       Date:  2010-05       Impact factor: 2.153

4.  The Ultrasound pattern sum score - UPSS. A new method to differentiate acute and subacute neuropathies using ultrasound of the peripheral nerves.

Authors:  Alexander Grimm; Bernhard F Décard; Hubertus Axer; Peter Fuhr
Journal:  Clin Neurophysiol       Date:  2015-02-03       Impact factor: 3.708

5.  Nerve ultrasound depicts peripheral nerve enlargement in patients with genetically distinct Charcot-Marie-Tooth disease.

Authors:  Yu-ichi Noto; Kensuke Shiga; Yukiko Tsuji; Ikuko Mizuta; Yujiro Higuchi; Akihiro Hashiguchi; Hiroshi Takashima; Masanori Nakagawa; Toshiki Mizuno
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-08-04       Impact factor: 10.154

6.  The prevalence by staged severity of various types of diabetic neuropathy, retinopathy, and nephropathy in a population-based cohort: the Rochester Diabetic Neuropathy Study.

Authors:  P J Dyck; K M Kratz; J L Karnes; W J Litchy; R Klein; J M Pach; D M Wilson; P C O'Brien; L J Melton; F J Service
Journal:  Neurology       Date:  1993-04       Impact factor: 9.910

7.  Peripheral nerve size in normals and patients with polyneuropathy: an ultrasound study.

Authors:  Craig M Zaidman; Mohammed Al-Lozi; Alan Pestronk
Journal:  Muscle Nerve       Date:  2009-12       Impact factor: 3.217

8.  Diagnostic nerve ultrasound in Charcot-Marie-Tooth disease type 1B.

Authors:  Michael S Cartwright; Martin E Brown; Patrick Eulitt; Francis O Walker; Victoria H Lawson; James B Caress
Journal:  Muscle Nerve       Date:  2009-07       Impact factor: 3.217

9.  Human diabetic endoneurial sorbitol, fructose, and myo-inositol related to sural nerve morphometry.

Authors:  P J Dyck; W R Sherman; L M Hallcher; F J Service; P C O'Brien; L A Grina; P J Palumbo; C J Swanson
Journal:  Ann Neurol       Date:  1980-12       Impact factor: 10.422

10.  The modified ultrasound pattern sum score mUPSS as additional diagnostic tool for genetically distinct hereditary neuropathies.

Authors:  Alexander Grimm; Maria Rasenack; Ioanna M Athanasopoulou; Nele Maria Dammeier; Christina Lipski; Stefan Wolking; Debora Vittore; Bernhard F Décard; Hubertus Axer
Journal:  J Neurol       Date:  2015-11-11       Impact factor: 4.849

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  2 in total

1.  Practically applicable nerve ultrasound models for the diagnosis of axonal and demyelinating hereditary motor and sensory neuropathies (HMSN).

Authors:  Kai F Loewenbrück; Markus Dittrich; Josef Böhm; Jürgen Klingelhöfer; Petra Baum; Jochen Schäfer; Heinz Reichmann; Andreas Hermann; Alexander Storch
Journal:  J Neurol       Date:  2017-11-28       Impact factor: 4.849

Review 2.  Hereditary Neuropathies.

Authors:  Katja Eggermann; Burkhard Gess; Martin Häusler; Joachim Weis; Andreas Hahn; Ingo Kurth
Journal:  Dtsch Arztebl Int       Date:  2018-02-09       Impact factor: 5.594

  2 in total

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