Can radiology reflect patient satisfaction after hallux valgus surgery?

This study aims to define the first web space length (FWSL) as a new radiologic parameter, which may reflect patients' subjective satisfaction and be associated with American Orthopedic Foot and Ankle Society (AOFAS) score as an objective parameter. PATIENTS AND METHODS: One hundred and fourteen patients (11 males, 103 females; mean age 43.4±13.2 years; range, 18 to 70 years) who underwent distal osteotomy between April 2010 and January 2018 were retrospectively reviewed. Patients were radiographically evaluated with pre- and postoperative standing foot anteroposterior and lateral X-rays. Hallux valgus angles (HVAs), intermetatarsal angle (IMA), and FWSL were measured. AOFAS scores were used for clinical evaluation. Satisfaction scores were obtained using a visual analog scale at the final follow-up. RESULTS: The relationship between postoperative AOFAS score changes and postoperative HVA changes was statistically significant (p=0.001, p
Source: Eklem Hastaliklari ve Cerrahisi - Category: Orthopaedics Tags: Eklem Hastalik Cerrahisi Source Type: research

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Semin Musculoskelet Radiol 2020; 24: 608-610 DOI: 10.1055/s-0040-1701500Born in 1869, Gaston Contremoulins began his career as a painter. Fascinated by photography and discovery of X-rays by Roentgen in 1895, our ingenious self taught engineer joined the laboratory of microphotography in the faculty of medicine in Paris. He published in 1896 studies in the use of X-rays associated with a compass for research and anatomical localization of foreign bodies in the skull. This work was awarded by the Montyon prize of the French Academy of Sciences in 1897. Appointed chief of radiological laboratories in Paris Hospital in 1898, ...
Source: Seminars in Musculoskeletal Radiology - Category: Radiology Authors: Tags: History Page Source Type: research
AbstractCovid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on radiography images can be used as a decision support mechanism to aid radiologists to speed up the diagnostic process. The aim of this work is to conduct a critical analysis to investigate the applicability of convolutional neural networks (CNNs) for the purpose of COVID-19 detection in chest X-ray images and highlight the issues of using CNN directly on the whole imag...
Source: Australasian Physical and Engineering Sciences in Medicine - Category: Biomedical Engineering Source Type: research
In this study, a full Bayesian calibration model was developed to make probabilistic inferences about age estimation in a reference sample of 891 periapical X-rays of upper and lower canines. These teeth belonged to both deceased and living adult subjects, aged between 20 and 86  years, coming from five different countries (Turkey, Italy, Portugal, Japan and Mexico). For this purpose, the narrowing of pulp chamber due to the apposition of secondary dentine was analysed by means of the pulp/tooth area ratio. To determine the agreement of the method, intra- and inter-observe r differences for measuring process were calc...
Source: International Journal of Legal Medicine - Category: Medical Law Source Type: research
There is clinical evidence that suppressing the bone structures in Chest X-rays (CXRs) improves diagnostic value, either for radiologists or computer-aided diagnosis. However, bone-free CXRs are not always accessible. We hereby propose a coarse-to-fine CXR bone suppression approach by using structural priors derived from unpaired computed tomography (CT) images. In the low-resolution stage, we use the digitally reconstructed radiograph (DRR) image that is computed from CT as a bridge to connect CT and CXR. We then perform CXR bone decomposition by leveraging the DRR bone decomposition model learned from unpaired CTs and do...
Source: IEE Transactions on Medical Imaging - Category: Biomedical Engineering Source Type: research
Despite scaphoid fractures being relatively uncommon pro-active treatment of suspected fractures has been seen as a risk management strategy. The poor positive predictive value of X-rays has led to published guidelines advocating MRI as a first-line or early imaging tool. It is unclear whether UK hospitals have been able to introduce early scanning and this national survey sought to establish the current management strategies for patients with a suspected scaphoid fracture.
Source: Radiography - Category: Radiology Authors: Source Type: research
How accurate is chest imaging for diagnosing COVID-19?Why is this question important?People with suspected COVID-19 need to know quickly whether they are infected, so that they can self-isolate, receive treatment, and inform close contacts. Currently, formal diagnosis of COVID-19 infection requires laboratory analysis of blood or nose and throat samples. The laboratory test, called RT-PCR, requires specialist equipment and takes at least 24 hours to produce a result. Further, RT-PCR is not completely accurate and a second RT-PCR or a different test may be required to confirm the diagnosis.COVID-19 is a respiratory infectio...
Source: Cochrane News and Events - Category: Information Technology Authors: Source Type: news
Abstract Hospital-acquired pneumonia (HAP) is one of the common infections in hospitalized patients. Early and prompt diagnosis of HAP is important because it aids in the appropriate selection of antibiotics and decreases the mortality and morbidity of patients. The investigation on serum procalcitonin (PCT) levels in pediatric patients is limited. Herein we aimed to evaluate the role of PCT in the early diagnosis of children with bacterial HAP. The study enrolled 264 children (
Source: Molecular and Cellular Biochemistry - Category: Biochemistry Authors: Tags: Mol Cell Biochem Source Type: research
In this study, we proposed a scatter-correction processing method to reduce the radiation dose when compared with that required by the X-ray grid for the segmentation of a mass region using deep learning during bedside chest radiography. A chest phantom and an acrylic cylinder simulating the mass were utilized to verify the image quality of the scatter-corrected chest X-rays with a low radiation dose. In addition, we used the peak signal-to-noise ratio and structural similarity to quantitatively assess the quality of the low radiation dose images compared with normal grid images. Furthermore, U-net was used to segment the ...
Source: Radiological Physics and Technology - Category: Physics Source Type: research
CONCLUSION: The lifetime attributable risk of cancer incidence and mortality due to radiation exposure is not trivial. Therefore efforts should be made to reduce patient doses while maintaining image quality. PMID: 32871427 [PubMed - indexed for MEDLINE]
Source: Clinical Breast Cancer - Category: Cancer & Oncology Authors: Tags: Clin Imaging Source Type: research
CONCLUSIONS: Deep learning showed promise to enable efficiently automatic selection of target X-ray images of RA patients. PMID: 32925161 [PubMed - as supplied by publisher]
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research
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