Cone-beam computed tomography for primary investigation of wrist trauma provides a new map of fractures of carpal bones

In 2016, our primary modality for radiological examination of wrist trauma, was changed from radiography to cone-beam computed tomography (CBCT). This is a retrospective survey of carpal bone fractures detected by CBCT during 6 months in 2016/2017, compared with those found on conventional radiographs during 6 months in 2013/2014. The incidence of carpal fractures was three times higher during the CBCT period (92/100,000 per year) compared with the radiography period (29/100,000 per year) and the spectrum of anatomical locations was different between the two periods, with fractures of the lunate ( n = 6), trapezium ( n = 9), trapezoid ( n = 4) and capitate ( n = 1) detected by CBCT, in contrast to no fractures of these bones diagnosed during the 6 months radiography period. We suggest a more liberal use of CBCT for examination of wrist trauma considering the benefits of being able to give patients a correct primary diagnosis, treatment and prognosis. Level of evidence: III

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Carpal Bone Fractures in Distal Radial Fractures: Is Computed Tomography Expedient?

Clinics in Orthopedic Surgery ◽

10.4055/cios.2014.6.1.101 ◽

2014 ◽

Vol 6 (1) ◽

pp. 101 ◽

Cited By ~ 1

Author(s):

Paritosh Gogna ◽

Rohit Singla ◽

Rakesh Kumar Gupta

Keyword(s):

Computed Tomography ◽

Bone Fractures ◽

Carpal Bone ◽

Distal Radial Fractures ◽

Carpal Bone Fractures

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Cone-beam computed tomography compared to X-ray in diagnosis of extremities bone fractures: A study of 198 cases

European Journal of Radiology Open ◽

10.1016/j.ejro.2019.01.009 ◽

2019 ◽

Vol 6 ◽

pp. 119-121 ◽

Cited By ~ 5

Author(s):

Prof. M. Ricci ◽

M. Boldini ◽

E. Bonfante ◽

E. Sambugaro ◽

E. Vecchini ◽

...

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Bone Fractures ◽

Cone Beam ◽

X Ray

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Mandible Bone Osteoporosis Detection using Cone-beam Computed Tomography

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.3637 ◽

2020 ◽

Vol 10 (4) ◽

pp. 6027-6033

Author(s):

R. F. A. Marar ◽

D. M. Uliyan ◽

H. A. Al-Sewadi

Keyword(s):

Computed Tomography ◽

Cone Beam Computed Tomography ◽

Bone Fractures ◽

Back Propagation ◽

Texture Features ◽

Diagnostic Algorithm ◽

Bone Fragility ◽

Cone Beam ◽

Feed Forward Back Propagation ◽

Artificial Neural Network Ann

Osteoporosis is a common health problem that affects one-third of women over the age of 50 and it may not be detected until bone fractures occur. Osteoporosis is low bone mass and microarchitectural deterioration of bone tissue, which affects bone fragility and raises fracture risks. Early mandible bone osteoporosis detection could help reduce the risk of jaw fracture and dental implant failure. To solve this problem, a diagnostic algorithm for automatic detection of osteoporosis in Cone-Beam Computed Tomography (CBCT) images is presented and 120 mandible CBCT images of 50-85 year-old women have been utilized. These images are classified into two classes: normal and osteoporotic. Their classification is based on the T-score which derives from the Dual-Energy X-ray Absorptiometry (DEXA). The proposed algorithm consists of image processing, feature extraction, and Artificial Neural Network (ANN) classification. Images are segmented and edges are detected. Then, texture features are extracted from the segmented regions. Finally, a feed-forward back-propagation ANN classifier is employed. Seven parameters were involved in the experiment data preparation as input: coarseness, contrast, direction, number of edges, length of edges, mean length of edges, and the number of edge pixels. The results demonstrate the effectiveness of the proposed method. With the help of the proposed method, dentists will be able to predict osteoporosis accurately and efficiently without the need for further examination since CBCT has been widely accepted in dentistry and the dentist is the most common health care professional that elderly visit regularly.

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Carpal Bone Fractures in Distal Radial Fractures: Is Computed Tomography Expedient?

Clinics in Orthopedic Surgery ◽

10.4055/cios.2014.6.1.102 ◽

2014 ◽

Vol 6 (1) ◽

pp. 101

Author(s):

Youn Moo Heo ◽

Sang Bum Kim ◽

Jin Woong Yi ◽

Jung Bum Lee ◽

Cheol Yong Park ◽

...

Keyword(s):

Computed Tomography ◽

Bone Fractures ◽

Carpal Bone ◽

Distal Radial Fractures ◽

Carpal Bone Fractures

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Percutaneous Image-Guided Intracranial Surgical Tool Placement in a Simulated Brain Tumor Using Flat-Panel Cone-Beam Computed Tomography (FP-CBCT) and Digital Fluoroscopy: A Feasibility Study

Skull Base ◽

10.1055/s-2008-1093129 ◽

2008 ◽

Vol 18 (S 01) ◽

Author(s):

Beverly Aagaard-Kienitz ◽

Brian Nett ◽

Andrew Bauer ◽

Mustafa Baskaya ◽

Guang-Hong Chen

Keyword(s):

Computed Tomography ◽

Brain Tumor ◽

Feasibility Study ◽

Cone Beam Computed Tomography ◽

Cone Beam ◽

Flat Panel ◽

Digital Fluoroscopy ◽

Image Guided ◽

Surgical Tool

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Value of cone beam computed tomography to evaluate complication of intracranial haemorrhage in endovascular treatment (evt): a case report

Journal Of Cardiovascular, Neurovascular & Stroke ◽

10.32896/cvns.v1n1.16-18 ◽

2019 ◽

Vol 1 (1) ◽

pp. 16-18 ◽

Cited By ~ 1

Author(s):

Norafida Bahari ◽

Nik Azuan Nik Ismail ◽

Jegan Thanabalan ◽

Ahmad Sobri Muda

Keyword(s):

Computed Tomography ◽

Arteriovenous Malformation ◽

Endovascular Treatment ◽

Cone Beam Computed Tomography ◽

Diagnostic Value ◽

Cone Beam ◽

Brain Arteriovenous Malformation ◽

Embolic Materials

In this article, we evaluate the effectiveness of Cone Beam Computed Tomography, through a case study, in assessing the complication of intracranial bleeding during an endovascular treatment of brain arteriovenous malformation when compared to Multislice-Detector Computed Tomography performed immediately after the procedure. The image quality of Cone Beam Computed Tomography has enough diagnostic value in differentiating between haemorrhage, embolic materials and the arteriovenous malformation nidus to facilitate physicians to decide for further management of the patient.

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