{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T17:05:18Z","timestamp":1772989518450,"version":"3.50.1"},"reference-count":24,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Gynecology &amp; Obste"],"published-print":{"date-parts":[[2024,8]]},"abstract":"Abstract<\/jats:title>\n \n Objective<\/jats:title>\n Three\u2010dimensional (3D) reconstructed models have been shown to improve visualization in complex female pelvic tumors. Cinematic rendering (CR) is a 3D imaging technique for computed tomography (CT) images, which creates more realistic images with the ability to enhance imaging of anatomical features for diagnosis.<\/jats:p>\n This study was set up to compare two types of 3D models and to validate the use of 3D anatomical techniques for the diagnosis of complex female pelvic tumors.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n The preclinical, randomized, two\u2010sequence crossover investigation was performed from December 2022 to January 2023 at First Affiliated Hospital of Chongqing Medical University. Sixteen residents and 10 attending surgeons assessed the cases of 23 patients with two types of 3D model images. The surgeons were randomly assigned to two assessment sequences (CR\u20103D model group and CT\u20103D model group). For each case, participants selected one question that probed fundamental questions about the tumor's genesis throughout each assessment period. Following a 4\u2010week washout period, case assessments were transferred to the other image modality.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n The main result assessment was the accuracy of the answers. The time to answer the questions and the case assessment questionnaire was added as a secondary outcome.<\/jats:p>\n \n The mean scores in the CR\u20103D models (19.35\u2009\u00b1\u20091.87) varied significantly from those in the CT\u2010CR group (16.77\u2009\u00b1\u20091.8) (\n P<\/jats:italic>\n \u2009<\u20090.001), and solving the questions in the CT\u20103D model sequence (41.96\u2009\u00b1\u20096.31\u2009s) varied significantly from that in the CR\u20103D model sequence (52.88\u2009\u00b1\u20095.95\u2009s) (\n P<\/jats:italic>\n \u2009<\u20090.001). Subgroup analysis revealed that there were statistically significant variations in the scores of female reproductive tumors, pelvic tumors other than the reproductive system, and retroperitoneal tumors (\n P<\/jats:italic>\n \u2009=\u20090.005). Analysis of the assessment questionnaire showed that more surgeons choose CR 3D reconstruction (8.31\u2009\u00b1\u20090.76 vs 7.15\u2009\u00b1\u20091.19,\n P<\/jats:italic>\n \u2009<\u20090.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The results suggest that each 3D reconstruction method has its own advantages. Surgeons feel that CR reconstruction models are a useful technique that can improve their comprehension of complex pelvic tumors, while traditional 3D models have an advantage in terms of speed to diagnosis.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/ijgo.15441","type":"journal-article","created":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T03:00:51Z","timestamp":1709262051000},"page":"672-681","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Comparison of two\n 3D<\/scp>\n reconstruction models for understanding of complicated female pelvic tumors"],"prefix":"10.1002","volume":"166","author":[{"given":"Miao","family":"Wei","sequence":"first","affiliation":[{"name":"Department of Radiology First Affiliated Hospital of Chongqing Medical University Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenglan","family":"Meng","sequence":"additional","affiliation":[{"name":"Department 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Medical University Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Gynecology First Affiliated Hospital of Chongqing Medical University Chongqing 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