Academic literature on the topic 'Radiographic abnormality'

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Journal articles on the topic "Radiographic abnormality"

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Atesok, Kivanc, Nobuhiro Tanaka, Andrew O’Brien, et al. "Posttraumatic Spinal Cord Injury without Radiographic Abnormality." Advances in Orthopedics 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/7060654.

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“Spinal Cord Injury without Radiographic Abnormality” (SCIWORA) is a term that denotes objective clinical signs of posttraumatic spinal cord injury without evidence of fracture or malalignment on plain radiographs and computed tomography (CT) of the spine. SCIWORA is most commonly seen in children with a predilection for the cervical spinal cord due to the increased mobility of the cervical spine, the inherent ligamentous laxity, and the large head-to-body ratio during childhood. However, SCIWORA can also be seen in adults and, in rare cases, the thoracolumbar spinal cord can be affected too.
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Nathan, M. Herbert, and William M. Shannon. "Chest Radiographic Diagnosis of Stomach Abnormality." American Journal of Roentgenology 174, no. 5 (2000): 1337–38. http://dx.doi.org/10.2214/ajr.174.5.1741337.

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Bharati, Saswata, Anil P. Singh, Shehbaz Ahmed, Laldhar Mishra, and Dinesh K. Singh. "Spinal cord injury without radiographic abnormality." Indian Journal of Critical Care Medicine 10, no. 3 (2006): 187–90. http://dx.doi.org/10.4103/0972-5229.27861.

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Cayetano, Katherine There. "An Eight-Year-Old Radiographic Abnormality." Chest 142, no. 4 (2012): 576A. http://dx.doi.org/10.1378/chest.1384944.

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Launay, Franck, Arabella I. Leet, and Paul D. Sponseller. "Pediatric Spinal Cord Injury without Radiographic Abnormality." Clinical Orthopaedics and Related Research &NA;, no. 433 (2005): 166–70. http://dx.doi.org/10.1097/01.blo.0000151876.90256.bf.

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Marinier, Margaret, Mary Faut Rodts, and Maria Connolly. "Spinal Cord Injury Without Radiographic Abnormality (SCIWORA)." Orthopaedic Nursing 16, no. 5 (1997): 57???65. http://dx.doi.org/10.1097/00006416-199709000-00015.

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Rozzelle, Curtis J., Bizhan Aarabi, Sanjay S. Dhall, et al. "Spinal Cord Injury Without Radiographic Abnormality (SCIWORA)." Neurosurgery 72, suppl_3 (2013): 227–33. http://dx.doi.org/10.1227/neu.0b013e3182770ebc.

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Hess, Erik P., Jeffrey J. Perry, Pam Ladouceur, George A. Wells, and Ian G. Stiell. "Derivation of a clinical decision rule for chest radiography in emergency department patients with chest pain and possible acute coronary syndrome." CJEM 12, no. 02 (2010): 128–34. http://dx.doi.org/10.1017/s148180350001215x.

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ABSTRACTObjective:We derived a clinical decision rule to determine which emergency department (ED) patients with chest pain and possible acute coronary syndrome (ACS) require chest radiography.Methods:We prospectively enrolled patients over 24 years of age with a primary complaint of chest pain and possible ACS over a 6-month period. Emergency physicians completed standardized clinical assessments and ordered chest radiographs as appropriate. Two blinded investigators independently classified chest radiographs as “normal,” “abnormal not requiring intervention” and “abnormal requiring intervent
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Park, Heui-Jeon, Phil-Eun Lee, Dong-Kyu Lee, Hyeun-Kook Park, and Myung-Soon Kim. "Spinal Cord Injury without Radiographic Abnormality in Adults." Journal of Korean Society of Spine Surgery 14, no. 1 (2007): 44. http://dx.doi.org/10.4184/jkss.2007.14.1.44.

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Bosch, Patrick P., Molly T. Vogt, and W. Timothy Ward. "Pediatric Spinal Cord Injury Without Radiographic Abnormality (SCIWORA)." Spine 27, no. 24 (2002): 2788–800. http://dx.doi.org/10.1097/00007632-200212150-00009.

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Dissertations / Theses on the topic "Radiographic abnormality"

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Menarim, Bruno Carvalho [UNESP]. "Caracterização de alterações radiográficas na articulação metacarpofalângia de cavalos de três tambores." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/88997.

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Made available in DSpace on 2014-06-11T19:23:41Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-03-20Bitstream added on 2014-06-13T19:48:07Z : No. of bitstreams: 1 menarim_bc_me_botfmvz.pdf: 322994 bytes, checksum: 061ca67256aa286109bdc9976c3cf3c3 (MD5)<br>Universidade Estadual Paulista (UNESP)<br>O objetivo deste estudo foi determinar a caracterização das alterações radiográficas na articulação metacarpofalângica de cavalos que desenvolvem a modalidade de Três Tambores. Foram utilizados 30 animais oriundos dos Estados de São Paulo e Paraná, que participam desta modalidade e ao exame
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Menarim, Bruno Carvalho. "Caracterização de alterações radiográficas na articulação metacarpofalângia de cavalos de três tambores /." Botucatu : [s.n.], 2009. http://hdl.handle.net/11449/88997.

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Resumo: O objetivo deste estudo foi determinar a caracterização das alterações radiográficas na articulação metacarpofalângica de cavalos que desenvolvem a modalidade de Três Tambores. Foram utilizados 30 animais oriundos dos Estados de São Paulo e Paraná, que participam desta modalidade e ao exame clínico apresentaram claudicação pós-flexão. Ao exame clínico foi observado que 13,3% (n=4) apresentaram claudicação espontânea (CE) e os demais somente após a flexão forçada. Entre os animais considerados foi constatada predominância de claudicação de grau II no membro anterior direito (MAD) e de g
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Snaith, Beverly, and Maryann L. Hardy. "Radiographer abnormality detection schemes in the trauma environment: An assessment of current practice." 2008. http://hdl.handle.net/10454/7021.

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Snaith, Beverly, Maryann L. Hardy, and Emily F. Lewis. "Reducing image interpretation errors – Do communication strategies undermine this?" 2014. http://hdl.handle.net/10454/7359.

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No<br>Errors in the interpretation of diagnostic images in the emergency department are a persistent problem internationally. To address this issue, a number of risk reduction strategies have been suggested but only radiographer abnormality detection schemes (RADS) have been widely implemented in the UK. This study considers the variation in RADS operation and communication in light of technological advances and changes in service operation. A postal survey of all NHS hospitals operating either an Emergency Department or Minor Injury Unit and a diagnostic imaging (radiology) department (n = 5
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Books on the topic "Radiographic abnormality"

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Wilson-MacDonald, James, and Colin Nnadi. Fractures of the spine in children. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.014003.

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♦ Spinal injuries in children are rare♦ Pseudosubluxation above C4 is common in healthy children so the sign needs careful interpretation♦ Epiphyseal plates and a high incidence of skeletal variability make the interpretation of spinal x-rays in children difficult. Anterior wedging is also normal as is interpedicular widening♦ Spinal cord injury without radiographic abnormality (SCIWORA) may occur for up to one-third of spinal injuries in children♦ Deformity secondary to trauma tends to deteriorate with growth.
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Book chapters on the topic "Radiographic abnormality"

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Pang, Dachling, and Sebastian Eibach. "Spinal Cord Injury Without Radiographic Abnormality (SCIWORA) in Children." In Textbook of Pediatric Neurosurgery. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-72168-2_134.

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Pang, Dachling, and Sebastian Eibach. "Spinal Cord Injury Without Radiographic Abnormality (SCIWORA) in Children." In Textbook of Pediatric Neurosurgery. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31512-6_134-1.

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Shao, Yunxue, and Xin Wang. "A Two Stage Method for Abnormality Diagnosis of Musculoskeletal Radiographs." In Pattern Recognition and Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59830-3_53.

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Shao, Yunxue, and Xin Wang. "Abnormality Diagnosis of Musculoskeletal Radiographs Combined with Shallow Texture Features." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0187-6_57.

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Rath, Malvika, P. Sai Dinesh Reddy, and Sanjay Kumar Singh. "Deep Convolutional Neural Networks (CNNs) to Detect Abnormality in Musculoskeletal Radiographs." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84760-9_10.

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Braz, Leodécio, Vinicius Teixeira, Helio Pedrini, and Zanoni Dias. "ImTeNet: Image-Text Classification Network for Abnormality Detection and Automatic Reporting on Musculoskeletal Radiographs." In Advances in Bioinformatics and Computational Biology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65775-8_14.

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Ahmad, Siti Arpah, Mohd Nasir Taib, NoorElaiza Abd Khalid, Rohana Ahmad, and Haslina Taib. "The Performance of Compound Enhancement Algorithm on Abnormality Detection Analysis of Intra-oral Dental Radiograph Images." In Software Engineering and Computer Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22191-0_48.

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Zaidi, H. A., V. K. H. Sonntag, and N. Theodore. "Spinal Cord Injury Without Radiographic Abnormality." In Encyclopedia of the Neurological Sciences. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-385157-4.00784-3.

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"10.2 SCIWORA – Spinal Cord Injury Without Radiographic Abnormality SCIWORA Spinal Cord Injury Without Radiographic Abnormality." In Expertise Orthopädie und Unfallchirurgie Wirbelsäule, edited by Gregor Stein, Peer Eysel, and Max Joseph Scheyerer. Georg Thieme Verlag, 2019. http://dx.doi.org/10.1055/b-0039-167041.

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Theodore, Nicholas, and Volker K. H. Sonntag. "Spinal Cord Injury without Radiographic Abnormality (SCIWORA)." In Encyclopedia of the Neurological Sciences. Elsevier, 2003. http://dx.doi.org/10.1016/b0-12-226870-9/01546-x.

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Conference papers on the topic "Radiographic abnormality"

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Teeyapan, Kasemsit. "Abnormality Detection in Musculoskeletal Radiographs using EfficientNets." In 2020 24th International Computer Science and Engineering Conference (ICSEC). IEEE, 2020. http://dx.doi.org/10.1109/icsec51790.2020.9375275.

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Genc, Secil, Kubra Nur Akpinar, and Serap Karagol. "Automated Abnormality Classification of Chest Radiographs using MobileNetV2." In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2020. http://dx.doi.org/10.1109/hora49412.2020.9152607.

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Ahmad, Wan Siti Halimatul Munirah Wan, Mohammad Faizal Ahmad Fauzi, and W. Mimi Diyana W. Zaki. "Abnormality detection for infection and fluid cases in chest radiograph." In 2015 International Electronics Symposium (IES). IEEE, 2015. http://dx.doi.org/10.1109/elecsym.2015.7380815.

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Huang, Wei, Zhitong Xiong, Qi Wang, and Xuelong Li. "KALM: Key Area Localization Mechanism for Abnormality Detection in Musculoskeletal Radiographs." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053768.

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Mondol, Tusher Chandra, Hasib Iqbal, and MMA Hashem. "Deep CNN-Based Ensemble CADx Model for Musculoskeletal Abnormality Detection from Radiographs." In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). IEEE, 2019. http://dx.doi.org/10.1109/icaee48663.2019.8975455.

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Rajaraman, S., S. Sornapudi, M. Kohli, and S. Antani. "Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856715.

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Ganesan, Prasanth, Sivaramakrishnan Rajaraman, Rodney Long, Behnaz Ghoraani, and Sameer Antani. "Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857516.

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Dubey, Abhishek, Michael Young, Christopher Stanley, Dalton Lunga, and Jacob Hinkle. "Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation." In 8th International Conference on Bioimaging. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010302500650072.

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Henak, Corinne R., Eric D. Carruth, Andrew E. Anderson, et al. "Finite Element Predictions of Cartilage Contact Mechanics in Hips With Retroverted Acetabula." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14125.

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Acetabular retroversion, defined by the crossover sign (COS) on plain film radiographs, (Figure 1) is thought to cause early onset osteoarthritis (OA). When the COS is present, the anterior acetabular rim is lateral to the posterior acetabular rim proximally. As the rim progresses distally, the posterior rim crosses lateral to the anterior rim, creating the COS. Clinical studies have demonstrated that hips with OA have a higher incidence of acetabular retroversion than normal hips [1–3]. There are two possible mechanical links between acetabular retroversion and OA. First, decreased area in th
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