Literature DB >> 22246979

Assessment of the dentin-pulp complex response to caries by ADC mapping.

Jernej Vidmar1, Ksenija Cankar, Lidija Nemeth, Igor Serša.   

Abstract

The prognostic potential of apparent diffusion coefficient (ADC) mapping was studied as complemented by high-resolution 3D T(1)-weighted MRI in the assessment of dentin-pulp complex response to caries. Twenty-six extracted human teeth, with or without caries lesions of different grades in accord with the International Caries Detection and Assessment System (ICDAS), were analyzed by high-resolution MRI at 2.35 T. A signal rise in demineralized hard dental tissues in high-resolution T(1)-weighted MR images enabled assessment of the demineralization depth over the whole range of ICDAS scores. ADC maps of the teeth were calculated from corresponding diffusion-weighted images of four different b values: 0, 132, 317, 635 s/mm(2). These maps enabled reliable differentiation between intact (ADC > 1.0·10(-9) m(2)/s) and affected (ADC < 1.0·10(-9) m(2)/s) regions of dental pulp. Linear regression analyses of demineralization depth in relation to ICDAS score and then also to average ADC of dental pulp showed that a demineralization depth increase of one millimeter corresponds to an ICDAS score increase of 1.2 and an average ADC decrease of 0.07·10(-9) m(2)/s. Results of the study indicate that the average ADC value of dental pulp could be used as a potential marker to assess tissue response to caries comparable to that of ICDAS scoring.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22246979     DOI: 10.1002/nbm.2770

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  2 in total

Review 1.  Magnetic resonance imaging in endodontics: a literature review.

Authors:  Yoshiko Ariji; Eiichiro Ariji; Misako Nakashima; Koichiro Iohara
Journal:  Oral Radiol       Date:  2017-08-18       Impact factor: 1.852

2.  Human tooth pulp anatomy visualization by 3D magnetic resonance microscopy.

Authors:  Dusan Sustercic; Igor Sersa
Journal:  Radiol Oncol       Date:  2012-03-06       Impact factor: 2.991

  2 in total

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