{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T02:50:20Z","timestamp":1789699820732,"version":"4.0.1"},"reference-count":37,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T00:00:00Z","timestamp":1676505600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of X-Ray Science and Technology"],"published-print":{"date-parts":[[2023,3,15]]},"abstract":"<jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>OBJECTIVE:<\/jats:title>\n                    <jats:p>To investigate the application value of a computer-aided diagnosis (CAD) system based on deep learning (DL) of rib fractures for night shifts in radiology department.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>Chest computed tomography (CT) images and structured reports were retrospectively selected from the picture archiving and communication system (PACS) for 2,332 blunt chest trauma patients. In all CT imaging examinations, two on-duty radiologists (radiologists I and II) completed reports using three different reading patterns namely, P1\u200a=\u200aindependent reading during the day shift; P2\u200a=\u200aindependent reading during the night shift; and P3\u200a=\u200areading with the aid of a CAD system as the concurrent reader during the night shift. The locations and types of rib fractures were documented for each reading. In this study, the reference standard for rib fractures was established by an expert group. Sensitivity and false positives per scan (FPS) were counted and compared among P1, P2, and P3.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      The reference standard verified 6,443 rib fractures in the 2,332 patients. The sensitivity of both radiologists decreased significantly in P2 compared to that in P1 (both\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u200a&lt; \u200a0.017). The sensitivities of both radiologists showed no statistical difference between P3 and P1 (both\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u200a&gt; \u200a0.017). Radiologist I\u2019s FPS increased significantly in P2 compared to P1 (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u200a&lt; \u200a0.017). The FPS of radiologist I showed no statistically significant difference between P3 and P1 (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u200a&gt; \u200a0.017). The FPS of Radiologist II showed no statistical difference among all three reading patterns (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u200a&gt; \u200a0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>DL-based CAD systems can be integrated into the workflow of radiology departments during the night shift to improve the diagnostic performance of CT rib fractures.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/xst-221343","type":"journal-article","created":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T11:56:33Z","timestamp":1676634993000},"page":"265-276","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving diagnostic performance of rib fractures for the night shift in radiology department using a computer-aided diagnosis system based on deep learning: A clinical retrospective study"],"prefix":"10.1177","volume":"31","author":[{"given":"Shan","family":"Xiong","sequence":"first","affiliation":[{"name":"Jingzhou Hospital Affiliated to Yangtze University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai","family":"Hu","sequence":"additional","affiliation":[{"name":"Jingzhou Hospital Affiliated to Yangtze University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sibin","family":"Liu","sequence":"additional","affiliation":[{"name":"Jingzhou Hospital Affiliated to Yangtze University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyi","family":"Huang","sequence":"additional","affiliation":[{"name":"Jingzhou Hospital Affiliated to Yangtze University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianmin","family":"Cheng","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital and Yuying Children\u2019s Hospital of Wenzhou Medical University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Wan","sequence":"additional","affiliation":[{"name":"Renhe Hospital Affiliated to Three Gorges University","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,2,16]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2017160100"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-015-3598-2"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2018.11.011"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2010.03.004"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.15.14605"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.17.18613"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2017.12.019"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20190043"},{"issue":"11","key":"e_1_3_3_10_2","first-page":"111","article-title":"Traumatic fractures in adults: Missed diagnosis on plain radiographs in the Emergency Department","volume":"89","author":"Pinto A.","year":"2018","unstructured":"PintoA., BerrittoD., RussoA., et al., Traumatic fractures in adults: Missed diagnosis on plain radiographs in the Emergency Department, Acta Biomed 89(11) (2018), 111.","journal-title":"Acta Biomed"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00414-019-02195-x"},{"key":"e_1_3_3_12_2","unstructured":"R. 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