Literature DB >> 8725917

Morphologic features of the normal human cadaveric spinal cord.

T Kameyama1, Y Hashizume, G Sobue.   

Abstract

STUDY
DESIGN: The cross-sectional area and diameter of the normal cadaveric spinal cord at each segmental level were measured, and the morphologic features were presented.
OBJECTIVES: To provide accurate anatomic descriptions and morphometric data of the human spinal cord. SUMMARY OF BACKGROUND DATA: There is a large individual variation in human spinal cord size, and no authorized standard of measurement has been established. There have been few detailed descriptions of the normal morphologic features of the spinal cord.
METHODS: The authors measured the cross-sectional area and diameter of the spinal cord at each segment from C2 and S3 in 12 cadaveric specimens, and the morphologic features of each segment were described.
RESULTS: The relative ratio of the cross-sectional area of each segment to that of the C3 segment was similar in all the specimens examined despite a large individual variation in absolute cord size. Each segment had distinct qualitative and quantitative morphologic features.
CONCLUSIONS: The normal cross-sectional area of the spinal cord at any segment in an individual is calculable from measurements of a given single normal segment. This value appears to be an appropriate and practical standard of measurement of the normal morphologic features of the spinal cord.

Entities:  

Mesh:

Year:  1996        PMID: 8725917     DOI: 10.1097/00007632-199606010-00001

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  34 in total

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Journal:  Exp Brain Res       Date:  2003-10-25       Impact factor: 1.972

2.  Spinal canal narrowing during simulated frontal impact.

Authors:  Paul C Ivancic; Manohar M Panjabi; Yasuhiro Tominaga; Adam M Pearson; S Elena Gimenez; Travis G Maak
Journal:  Eur Spine J       Date:  2005-10-12       Impact factor: 3.134

3.  Brain size and white matter content of cerebrospinal tracts determine the upper cervical cord area: evidence from structural brain MRI.

Authors:  Christina Engl; Paul Schmidt; Milan Arsic; Christine C Boucard; Viola Biberacher; Michael Röttinger; Thorleif Etgen; Sabine Nunnemann; Nikolaos Koutsouleris; Maximilian Reiser; Eva M Meisenzahl; Mark Mühlau
Journal:  Neuroradiology       Date:  2013-05-29       Impact factor: 2.804

4.  Construction of an in vivo human spinal cord atlas based on high-resolution MR images at cervical and thoracic levels: preliminary results.

Authors:  Manuel Taso; Arnaud Le Troter; Michaël Sdika; Jean-Philippe Ranjeva; Maxime Guye; Monique Bernard; Virginie Callot
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5.  Localization of the primary sites of involvement in the spinal sensory and motor pathways for multilevel MRI abnormalities in degenerative cervical myelopathy.

Authors:  Nobuaki Tadokoro; Toshikazu Tani; Kazunobu Kida; Katsuhito Kiyasu; Yusuke Kasai; Masashi Kumon; Ryuichi Takemasa; Masahiko Ikeuchi
Journal:  Spinal Cord       Date:  2017-10-30       Impact factor: 2.772

6.  Stress analysis of the cervical spinal cord: Impact of the morphology of spinal cord segments on stress.

Authors:  Norihiro Nishida; Tsukasa Kanchiku; Yasuaki Imajo; Hidenori Suzuki; Yuichiro Yoshida; Yoshihiko Kato; Daisuke Nakashima; Toshihiko Taguchi
Journal:  J Spinal Cord Med       Date:  2016-02-25       Impact factor: 1.985

7.  Physiological ¹⁸F-FDG uptake by the spinal cord: is it a point of consideration for cancer patients?

Authors:  Amr Amin; Sandra J Rosenbaum; Andreas Bockisch
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8.  High-resolution human cervical spinal cord imaging at 7 T.

Authors:  E E Sigmund; G A Suero; C Hu; K McGorty; D K Sodickson; G C Wiggins; J A Helpern
Journal:  NMR Biomed       Date:  2011-12-20       Impact factor: 4.044

9.  Temperature increases by kilohertz frequency spinal cord stimulation.

Authors:  Adantchede L Zannou; Niranjan Khadka; Dennis Q Truong; Tianhe Zhang; Rosana Esteller; Brad Hershey; Marom Bikson
Journal:  Brain Stimul       Date:  2018-10-17       Impact factor: 8.955

10.  Spinal cord gray matter atrophy correlates with multiple sclerosis disability.

Authors:  Regina Schlaeger; Nico Papinutto; Valentina Panara; Carolyn Bevan; Iryna V Lobach; Monica Bucci; Eduardo Caverzasi; Jeffrey M Gelfand; Ari J Green; Kesshi M Jordan; William A Stern; H-Christian von Büdingen; Emmanuelle Waubant; Alyssa H Zhu; Douglas S Goodin; Bruce A C Cree; Stephen L Hauser; Roland G Henry
Journal:  Ann Neurol       Date:  2014-08-21       Impact factor: 10.422

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