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dc.contributor.authorKattipathanapong Ten_US
dc.contributor.authorEuathrongchit Jen_US
dc.contributor.authorWannasopha Yen_US
dc.contributor.authorUa-Apisitwong Sen_US
dc.contributor.authorJirapong Ken_US
dc.contributor.authorSaeteng Sen_US
dc.contributor.authorTantraworasin Aen_US
dc.contributor.authorLertprasertsuke Nen_US
dc.date.accessioned2020-04-02T14:45:05Z-
dc.date.available2020-04-02T14:45:05Z-
dc.date.issued2019en_US
dc.identifier.citationChiang Mai Medical Journal 58,4 (October-December 2019), 191-198en_US
dc.identifier.issn0125-5983en_US
dc.identifier.urihttps://www.tci-thaijo.org/index.php/CMMJ-MedCMJ/article/view/227780/155098en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67393-
dc.descriptionChiang Mai Medical Journal (Formerly Chiang Mai Medical Bulletin) is an official journal of the Faculty of Medicine, Chiang Mai University. It accepts original papers on clinical and experimental research that are pertinent in the health sciences. The Journal is published 4 issues/year (i.e., Mar, Jun, Sep, and Dec). Original articles, review articles, brief reports, case reports, and miscellany (editorials, perspectives, opinions, and letters to the editor) are welcome. All manuscripts submitted to Chiang Mai Medical Journal must not have been previously published (except in abstract form) or under consideration for publication elsewhere. Each submitted article will be reviewed by two referrees or more. Following publication, Chiang Mai Medical Journal reserves the copyright of all published materials and such materials may not be reproduced in any form without written permission from Chiang Mai Medical Journal. We strongly recommend that authors follow the guideline in manuscript preparation below. Failure to comply with the instruction will result in delay the processing of your paperen_US
dc.description.abstractObjective To compare the rate of pulmonary nodule detection using chest radiograph, chest digital tomosynthesis and computed tomography examination.MethodsAfter institutional review broad approval, an in-house chest phantom was made from acrylic, plaster and catheters. Plastic beads of 1-2 mm, 3-4 mm, 5-6 mm, 7-8 mm and 9-10 mm were implanted in the phantom to represent pulmonary nodules. From 0 to 20 nodules were randomly embedded in each model and the model was photographed by digital chest radiograph (CXR), chest digital tomosynthesis (CDT) and chest computed tomography (CT). Two blinded thoracic radiologists reviewed and marked the nodules on each of 34 images. The percentage of nodules detected with each method was calculated and compared. Results There were a total of 332 nodules in the 34 phantom models. Overall nodule detection rates were 75.3% for CXR, 91.0% for CDT and 98.8% for CT. With CT, all nodules larger than 3 mm in diameter were identified. With CDT, over 90% of the nodules larger than 5 mm were detected. The percentage detected with CDT and CT was not statistically significantly different for 5-10 mm nodules. The regions of poorest nodular detection with CXR were the mediastinum and hilum regions, while with CDT it was the costophrenic sulcus. ConclusionCT provides the highest percentage of nodular detection, followed by CDT and digital CXR in that order. There is no significant difference in percentage detection between CT and CDT for 5-10 mm nodules.en_US
dc.language.isoEngen_US
dc.publisherFaculty of Medicineen_US
dc.subjectchest radiographen_US
dc.subjectdigital tomosynthesisen_US
dc.subjectcomputed tomographyen_US
dc.titleComparison of chest radiography, chest tomosynthesis and computed tomography for detection of pulmonary nodules: A phantom studyen_US
dc.title.alternativeการเปรียบเทียบระหว่างภาพเอกซเรย์ปอด ภาพเอกซเรย์เชนิดดิจิทัลโทโมซินเทสิส และภาพเอกซเรย์คอมพิวเตอร์เพื่อตรวจหาก้อนในปอด โดยทดลองในหุ่นจําลองen_US
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