Literature DB >> 34505258

Quantitative assessment of the mandibular bone marrow of diabetes mellitus patients using diffusion-weighted magnetic resonance imaging.

Shunya Okada1, Kotaro Ito2, Hirotaka Muraoka2, Naohisa Hirahara2, Go Itakura2, Shungo Ichiki2, Tomohiro Komatsu2, Takumi Kondo2, Takashi Kaneda2.   

Abstract

PURPOSE: The purpose of this study was to assess quantitatively the mandibular bone marrow of patients with and without diabetes mellitus (DM) using the apparent diffusion coefficient (ADC) values on diffusion-weighted imaging (DWI).
METHODS: 65 DM patients (28 men, 37 women, 29-84 years of age, mean age 55.7 ± 15.7 years) and age-, sex- and periodontitis stage-matched 65 non-DM patients who had underwent MRI between April 2006 and March 2018 were included in this study. The ADC was calculated using the ADC visualization tool implemented in a dedicated off-line workstation. The regions of interest (ROI) were manually placed on the ADC map on which the mandibular bone marrow from the lower first molar to the lower second molar was observed in patients with and without DM. Statistical analysis was performed using the Mann-Whitney U test and receiver operating characteristic (ROC) curve analysis. P values < 0.05 were considered statistically significant.
RESULTS: The mean ADC values of the mandibular bone marrow of patients with and without DM were 1.18 ± 0.21 × 10-3 mm2/s and 0.83 ± 0.14 × 10-3 mm2/s, respectively. The ADC values of DM patients were significantly higher than those of patients without DM.
CONCLUSION: The ADC values allowed the quantitative evaluation of the mandibular bone marrow of DM patients. DWI might serve as a new and noninvasive method to assess the presence of DM.
© 2021. The Author(s), under exclusive licence to Japanese Society for Oral and Maxillofacial Radiology and Springer Nature Singapore Pte Ltd.

Entities:  

Keywords:  Apparent diffusion coefficient value; Diabetes mellitus; Diffusion-weighted imaging; Magnetic resonance imaging

Mesh:

Year:  2021        PMID: 34505258     DOI: 10.1007/s11282-021-00564-0

Source DB:  PubMed          Journal:  Oral Radiol        ISSN: 0911-6028            Impact factor:   1.882


  4 in total

1.  Risk factors for cerebral edema in children with diabetic ketoacidosis.

Authors:  B M Gebara
Journal:  N Engl J Med       Date:  2001-05-17       Impact factor: 91.245

2.  Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy.

Authors:  S Eida; M Sumi; N Sakihama; H Takahashi; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

3.  Quantitative assessment of the mandibular bone marrow of diabetes mellitus patients using diffusion-weighted magnetic resonance imaging.

Authors:  Shunya Okada; Kotaro Ito; Hirotaka Muraoka; Naohisa Hirahara; Go Itakura; Shungo Ichiki; Tomohiro Komatsu; Takumi Kondo; Takashi Kaneda
Journal:  Oral Radiol       Date:  2021-09-09       Impact factor: 1.882

4.  Diagnostic Significance of Diffusion-Weighted MRI in Renal Cancer.

Authors:  Yu Lei; Hong Wang; Hai-Feng Li; Yan-Wei Rao; Jing-Hong Liu; Shi-Feng Tian; Ye Ju; Ye Li; An-Liang Chen; Li-Hua Chen; Ai-Lian Liu; Ming-Li Sun
Journal:  Biomed Res Int       Date:  2015-04-30       Impact factor: 3.411

  4 in total
  3 in total

1.  Risk assessment of external apical root resorption associated with orthodontic treatment using computed tomography texture analysis.

Authors:  Kotaro Ito; Mayu Kurasawa; Tadasu Sugimori; Hirotaka Muraoka; Naohisa Hirahara; Eri Sawada; Shinichi Negishi; Kazutaka Kasai; Takashi Kaneda
Journal:  Oral Radiol       Date:  2022-03-18       Impact factor: 1.852

2.  Quantitative assessment of the mandibular bone marrow of diabetes mellitus patients using diffusion-weighted magnetic resonance imaging.

Authors:  Shunya Okada; Kotaro Ito; Hirotaka Muraoka; Naohisa Hirahara; Go Itakura; Shungo Ichiki; Tomohiro Komatsu; Takumi Kondo; Takashi Kaneda
Journal:  Oral Radiol       Date:  2021-09-09       Impact factor: 1.882

3.  Assessment of Bone Mineral Density in Type 2 Diabetes: A Cone Beam Computed Tomography (CBCT) Study.

Authors:  Chinmayee Dahihandekar; Sweta G Pisulkar; Seema Sathe; Surekha Godbole; Akansha V Bansod; Hetal Purohit
Journal:  Cureus       Date:  2022-08-15
  3 in total

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