Improved identification of sternal injuries with multidetector computed tomography (MDCT): sagittal reconstructions

التفاصيل البيبلوغرافية
العنوان: Improved identification of sternal injuries with multidetector computed tomography (MDCT): sagittal reconstructions
المؤلفون: Reginald F. Munden, Nina L.J. Terry, Sushil Sonavane, Jubal R. Watts, Satinder Singh, Timothy Mark Beasley, P. Hrudaya Nath
المصدر: Clinical imaging. 40(4)
سنة النشر: 2015
مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Sternum, Computed tomography, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Hematoma, Multidetector computed tomography, Multidetector Computed Tomography, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Statistical analysis, cardiovascular diseases, Sternal injury, Aged, Retrospective Studies, Aged, 80 and over, Observer Variation, medicine.diagnostic_test, business.industry, Middle Aged, musculoskeletal system, medicine.disease, Sagittal plane, body regions, surgical procedures, operative, medicine.anatomical_structure, Female, Radiology, business
الوصف: Chest computed tomography is acquired in the axial plane, but sternal injuries may be missed on axial images. This study hypothesized that sagittal sternal reconstruction images improve detection of sternal injury and radiologist's confidence in diagnosis compared to axial images. Five radiologists independently reviewed first axial images and on a different day sagittal images of a retrospective set of trauma cases recording presence/absence of a sternal injury and/or adjacent hematoma. The reviewer's confidence in the presence/absence of a sternal injury was assessed on a 5-point scale. Sagittal reconstructions generally yielded higher interreader agreement and confidence indices on statistical analysis.
تدمد: 1873-4499
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b8e220decf8b19b96aa58e1729731af
https://pubmed.ncbi.nlm.nih.gov/27317219
Rights: CLOSED
رقم الانضمام: edsair.doi.dedup.....7b8e220decf8b19b96aa58e1729731af
قاعدة البيانات: OpenAIRE