scholarly journals Adult Stature Estimation from Radiographic Metatarsal Length in a Contemporary Korean Population

Author(s):  
Suyeon Park ◽  
Young Yi ◽  
Battur Tsengel ◽  
Jahyung Kim ◽  
Dong-Il Chun ◽  
...  

The ability to estimate stature can be important in the identification of skeletal remains. This study aims to develop a Korean-specific equation predicting stature using radiographic measurements in the contemporary Korean population. 200 healthy Korean adults, including 102 males and 98 females, were randomly selected (age, range 20–86 years). The first and second metatarsals of the foot were measured by a standing X-ray using a digital medical image viewer. The result showed a statistically significant correlation between metatarsal length and stature in Korean populations (male, R = 0.46, p < 0.001; female, R = 0.454, p < 0.001). Values of correlation coefficients (R) of the equations were 0.431 to 0.477. Compared to equations derived from other races, the Korean-specific equation showed significantly lower error values for estimating the actual height of Koreans through cross-validation. In conclusion, this study is the first to propose a Korean-specific regression formula for estimating stature using metatarsal length and a verified formula for precise application to the Korean population. However, given the relatively low correlation coefficient, the stature estimation formula derived from this study can be utilized when other bones that allow more accurate stature estimation are not available.

2019 ◽  
Author(s):  
Martin Greta

BACKGROUND Tuberculosis is a widespread and in many cases a fatal, infectious disease caused by many strains of mycobacterium complex usually mycobacterium tuberculosis. It can affect any part of the body but mainly the lungs hence called pulmonary tuberculosis. Tuberculosis in children has been less of a public health priority in the recent years despite the fact that TB has been a major cause of childhood morbidity and mortality worldwide with difficulties in diagnosis. Data on trends of childhood TB is rarely in published literature hence need for this research which will help in publishing OBJECTIVE To establish the trends in TB among children aged 1-12 years and its management over a period of five years from 2011- 2015 at Arthur Davison children’s hospital in Ndola and also to determine the proportion of TB in these children and to establish the age group most affected by TB over the period of five years and lastly to assess the proportion of TB and HIV as a co-morbidity METHODS The study reviewed all records that were registered in the MOH TB register at ADH from 2011 to 2015 coming up with a total number of 483 TB records and these records had satisfied the inclusion and exclusion criteria. The data capturing tool was used to collect the data. RESULTS : This study determined the trends of TB in children aged 1 to 12 over the five years period from a total of 483 reviewed paediatric TB cases , its proportion in these children, the age range most affected by TB and lastly assessed TB and HIV as a co-morbidity at Arthur Davison Children’s hospital. It revealed that the trends were decreasing and that out of 483 TB patient, the majority 157(32.5%) of the TB patients were seen in the year 2011, followed by 129(26.7%), 84(17.4%), 57(11.8%) and 56(11.6%) representing the year 2012, 2013, 2014 and 2015 respectively. Findings on the age range most affected are that the majority 282(58.4%) of the TB patients were aged (5-12) years old while 201(41.6%) were aged between (1-5) years old. Therefore, the age range most affected by TB was between (5-12) years. The TB proportion results showed that Out of 483, the majority 467(96.7%) of the TB patient type were newly diagnosed, followed by 13(2.7%), 2(.4%) and the rest 1(.2%) that were Relapse, Trans-in and Treatment resumed respectively. And that many 467(96.7%) of TB condition types were PTB while 16(3.3%) were EPTB. Furthermore, the majority of 463(95.9%) were diagnosed by X-ray while 20(4.1%) were diagnosed by smear microscopy. And lastly In terms of HIV as a co-morbidity, the majority 175(36.2%) of the TB patients were HIV positive, followed by 173(35.8%) that were HIV negative while the rest 135(28%) of the TB patients were not tested for HIV CONCLUSIONS This study reports that the trends of TB in children aged 1-12 years have been decreasing from 2015 to 2011 .And the age range most affected was found to have been 5-12 years and the proportion of TB cases were mostly newly diagnosed and the diagnosis was made by use x-ray and lastly the large proportion of TB patients had tested positive for HIV as a co-morbidity. Therefore efforts should be made to sustain this decreasing trend of childhood TB.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Michael Rutherford ◽  
Seong K. Mun ◽  
Betty Levine ◽  
William Bennett ◽  
Kirk Smith ◽  
...  

AbstractWe developed a DICOM dataset that can be used to evaluate the performance of de-identification algorithms. DICOM objects (a total of 1,693 CT, MRI, PET, and digital X-ray images) were selected from datasets published in the Cancer Imaging Archive (TCIA). Synthetic Protected Health Information (PHI) was generated and inserted into selected DICOM Attributes to mimic typical clinical imaging exams. The DICOM Standard and TCIA curation audit logs guided the insertion of synthetic PHI into standard and non-standard DICOM data elements. A TCIA curation team tested the utility of the evaluation dataset. With this publication, the evaluation dataset (containing synthetic PHI) and de-identified evaluation dataset (the result of TCIA curation) are released on TCIA in advance of a competition, sponsored by the National Cancer Institute (NCI), for algorithmic de-identification of medical image datasets. The competition will use a much larger evaluation dataset constructed in the same manner. This paper describes the creation of the evaluation datasets and guidelines for their use.


Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 885
Author(s):  
Vasile Berinde ◽  
Cristina Ţicală

The aim of this paper is to show analytically and empirically how ant-based algorithms for medical image edge detection can be enhanced by using an admissible perturbation of demicontractive operators. We thus complement the results reported in a recent paper by the second author and her collaborators, where they used admissible perturbations of demicontractive mappings as test functions. To illustrate this fact, we first consider some typical properties of demicontractive mappings and of their admissible perturbations and then present some appropriate numerical tests to illustrate the improvement brought by the admissible perturbations of demicontractive mappings when they are taken as test functions in ant-based algorithms for medical image edge detection. The edge detection process reported in our study considers both symmetric (Head CT and Brain CT) and asymmetric (Hand X-ray) medical images. The performance of the algorithm was tested visually with various images and empirically with evaluation of parameters.


2010 ◽  
Vol 54 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Alexis D. Guedes ◽  
Bianca Bianco ◽  
Mônica V. N. Lipay ◽  
Emmanuela Q. Callou ◽  
Marise L. Castro ◽  
...  

INTRODUCTION: Cardiovascular disease is one of the main causes for Turner syndrome (TS) mortality and the evaluation of its risk factors such as excess body fat and its distribution is considered one of the major aspects of the adult patient care. OBJECTIVE: To develop and validate a specific bioelectrical impedance analysis (BIA) equation to predict body composition in TS patients. SUBJECTS AND METHODS: Clinical and anthropometric data, dual-energy X-ray absorptiometry (DXA) for total fat-free mass (FFM) and BIA for resistance and reactance were obtained from 50 adult TS patients. Linear regression analysis was performed with multiple clinical and BIA data to obtain a predicting equation. RESULTS: The equation developed to estimate FFM in adult TS patients showed great consistency with DXA, elevated correlation (r = 0. 974) and determination (r² = 0. 948) coefficients and an adequate standard error estimate (SEE = 1.52 kg). CONCLUSIONS: The specific equation developed here allowed making an adequate FFM estimate in adult TS patients.


2011 ◽  
Vol 2 (4) ◽  
pp. 312-315
Author(s):  
Alexander LNU ◽  
Musab Hamed Saeed ◽  
Nazil A Abtahl ◽  
A Praveen Pradeep

ABSTRACT Introduction In endodontic treatment for permanent teeth, it is important to estimate the working length precisely. Currently, various methods are used in clinical practice for working length estimation. The objective of this study is to compare the accuracy of root canal length in permanent teeth determined by electronic apex locators, conventional and digital radiography. Materials and methods A total of 50 single rooted permanent teeth with mature apices were extracted for periodontal reasons and obtained from different sources without caries were studied. The radiographic measurements were done using paralleling technique. Electronic measurements were done next using third generation, DentAport ZX. Actual canal length of each tooth was measured using direct observation of the apical exit of the file. Measurements obtained from radiographic and electronic methods were compared to the actual tooth length. Interclass correlation coefficients and failure rate for each method and their combinations were calculated using STATA 12.0 software. Results The measurements obtained through all the three techniques showed high interclass correlation coefficients and excellent level of agreement. The failure rate of measurements obtained through conventional radiography, digital radiography and electronic apex locators was 38, 30 and 22% respectively. Combination of conventional radiography with electronic apex locator showed an accuracy of 90%, while combination of digital radiographs and electronic apex locators given an accuracy of 96%. Conclusion A combination of digital radiographic and apex locator methods for determining the root canal length in permanent teeth can be considered safe, reliable and precise.


2018 ◽  
Vol 30 (4) ◽  
pp. 466-473 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Dimitris Vlachopoulos ◽  
Esther Ubago-Guisado ◽  
Asunción Ferri-Morales ◽  
Iván Cavero-Redondo ◽  
...  

Purpose: The present study aims to investigate the association between dual-energy X-ray absorptiometry (DXA) and quantitative ultrasound (QUS) parameters and the intermethods agreement in active males. Methods: In this cross-sectional study, bone health (by DXA and calcaneal QUS), physical activity (by accelerometers), and anthropometrics measurements were assessed in 117 active adolescents (12–14 y old). Bivariate correlation coefficients were calculated to assess the relationships between DXA standard regions of interest and QUS parameters. Intraclass correlation coefficients and Bland–Altman plots were used to assess the level of agreement between bone mineral content regions derived from DXA and stiffness index. The measurements were z score transformed for comparison. Results: Most QUS parameters were positive and significantly correlated with DXA outcomes (stiffness index: r = .43–.52; broadband ultrasound attenuation: r = .50–.58; speed of sound: r = .25–.27) with the hip showing the highest correlations. Moreover, the present study found fair to good intraclass correlation coefficients of agreement (.60–.68) between DXA and QUS to assess bone health. The Bland–Altman analysis showed a limited percentage of outliers (3.2%–8.6%). Conclusion: QUS device could represent an acceptable alternative method to assess bone health in active adolescent males.


Author(s):  
Karthik K ◽  
Sowmya S Kamath

Abstract The detailed physiological perspectives captured by medical imaging provides actionable insights to doctors to manage comprehensive care of patients. However, the quality of such diagnostic image modalities is often affected by mismanagement of the image capturing process by poorly trained technicians and older/poorly maintained imaging equipment. Further, a patient is often subjected to scanning at different orientations to capture the frontal, lateral and sagittal views of the affected areas. Due to the large volume of diagnostic scans performed at a modern hospital, adequate documentation of such additional perspectives is mostly overlooked, which is also an essential key element of quality diagnostic systems and predictive analytics systems. Another crucial challenge affecting effective medical image data management is that the diagnostic scans are essentially stored as unstructured data, lacking a well-defined processing methodology for enabling intelligent image data management for supporting applications like similar patient retrieval , automated disease prediction etc. One solution is to incorporate automated diagnostic image descriptions of the observation/findings by leveraging computer vision and natural language processing. In this work, we present multi-task neural models capable of addressing these critical challenges. We propose ESRGAN, an image enhancement technique for improving the quality and visualization of medical chest X-ray images, thereby substantially improving the potential for accurate diagnosis, automatic detection and region-of-interest segmentation. We also propose a CNN-based model called ViewNet for predicting the view orientation of the X-ray image and generating a medical report using Xception net, thus facilitating a robust medical image management system for intelligent diagnosis applications. Experimental results are demonstrated using standard metrics like BRISQUE, PIQE and BLEU scores, indicating that the proposed models achieved excellent performance. Further, the proposed deep learning approaches enable diagnosis in a lesser time and their hybrid architecture shows significant potential for supporting many intelligent diagnosis applications.


Author(s):  
S. Anand

Medical image enhancement improves the quality and facilitates diagnosis. This chapter investigates three methods of medical image enhancement by exploiting useful edge information. Since edges have higher perceptual importance, the edge information based enhancement process is always of interest. But determination of edge information is not an easy job. The edge information is obtained from various approaches such as differential hyperbolic function, Haar filters and morphological functions. The effectively determined edge information is used for enhancement process. The retinal image enhancement method given in this chapter improves the visual quality of the vessels in the optic region. X-ray image enhancement method presented here is to increase the visibility of the bones. These algorithms are used to enhance the computer tomography, chest x-ray, retinal, and mammogram images. These images are obtained from standard datasets and experimented. The performance of these enhancement methods are quantitatively evaluated.


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