Literature DB >> 10808227

Digital analysis of trabecular pattern in jaws of patients with sickle cell anemia.

S C White1, J M Cohen, F A Mourshed.   

Abstract

OBJECTIVES: To characterize how the morphological features of the cancellous bone of the maxilla and mandible differ in patients with sickle cell anemia compared with normal subjects.
METHODS: Periapical radiographs of 18 young African American patients with sickle cell anemia and 18 control African Americans were digitized at 600 d.p.i. A customized computer program measured 24 morphological features of the trabecular and marrow architecture in the anterior maxilla and mandible. The mean values for each of the features were determined for the sickle cell and control groups and compared by anatomical site.
RESULTS: Patients with sickle cell anemia have a significant increase in area of the marrow (53% compared with 47% in controls) and a less complex trabecular structure as evidenced by fewer skeletal branch points per square cm (451 compared with 584 in controls in the anterior maxilla and, 553 compared with 678 in controls in the anterior mandible). All values are significantly different (P < 0.001).
CONCLUSIONS: The data support the hypothesis that an automated image-interpretation program can distinguish patients with sickle cell anemia from normal individuals.

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Mesh:

Year:  2000        PMID: 10808227     DOI: 10.1038/sj/dmfr/4600516

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  14 in total

1.  Image resolution and exposure time of digital radiographs affects fractal dimension of periapical bone.

Authors:  B Güniz Baksi; Aleš Fidler
Journal:  Clin Oral Investig       Date:  2011-11-29       Impact factor: 3.573

2.  Evaluation of panoramic radiomorphometric indices related to low bone density in sickle cell disease.

Authors:  F S Neves; L S A F Oliveira; M G G Torres; M B P Toralles; M C B O da Silva; M I G Campos; P S F Campos; I Crusoé-Rebello
Journal:  Osteoporos Int       Date:  2011-10-18       Impact factor: 4.507

3.  Correlation between maxillofacial radiographic features and systemic severity as sickle cell disease severity predictor.

Authors:  Frederico Sampaio Neves; Cristina Pinho Passos; Christiano Oliveira-Santos; Maria Cristina Teixeira Cangussu; Paulo Sérgio Flores Campos; Roberto José Meyer Nascimento; Iêda Crusoé-Rebello; Maria Isabela Guimarães Campos
Journal:  Clin Oral Investig       Date:  2011-06-07       Impact factor: 3.573

4.  Evaluation of trabecular pattern of mandible using fractal dimension, bone area fraction, and gray scale value: comparison of cone-beam computed tomography and panoramic radiography.

Authors:  Guldane Magat; Sevgi Ozcan Sener
Journal:  Oral Radiol       Date:  2018-01-17       Impact factor: 1.852

5.  Sparseness of the trabecular pattern on dental radiographs: visual assessment compared with semi-automated measurements.

Authors:  W G M Geraets; C Lindh; H Verheij
Journal:  Br J Radiol       Date:  2012-02-28       Impact factor: 3.039

6.  Alternative cone-beam CT method for the analysis of mandibular condylar bone in patients with degenerative joint disease.

Authors:  I Gumussoy; S B Duman
Journal:  Oral Radiol       Date:  2019-06-29       Impact factor: 1.852

7.  Evaluation of mandibular bone changes in multiple myeloma patients on dental panoramic radiographs.

Authors:  Rıdvan Akyol; Gamze Şirin Sarıbal; Mehmet Amuk
Journal:  Oral Radiol       Date:  2022-02-07       Impact factor: 1.882

8.  Alveolar bone changes under overhanging restorations.

Authors:  Füsun Yasar; Esra Yesilova; Faruk Akgünlü
Journal:  Clin Oral Investig       Date:  2009-08-18       Impact factor: 3.573

9.  Distributional Variations in the Quantitative Cortical and Trabecular Bone Radiographic Measurements of Mandible, between Male and Female Populations of Korea, and its Utilization.

Authors:  Muthu Subash Kavitha; Soon-Yong Park; Min-Suk Heo; Sung-Il Chien
Journal:  PLoS One       Date:  2016-12-21       Impact factor: 3.240

10.  The challenge of applying digital image processing software on intraoral radiographs for osteoporosis risk assessment.

Authors:  Joanna Gullberg; Ayman Al-Okshi; Dalia Homar Asan; Anita Zainea; Daniel Sundh; Mattias Lorentzon; Christina Lindh
Journal:  Dentomaxillofac Radiol       Date:  2021-07-29       Impact factor: 2.419

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