{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T01:17:52Z","timestamp":1780449472172,"version":"3.54.1"},"reference-count":38,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T00:00:00Z","timestamp":1662422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81871387"],"award-info":[{"award-number":["81871387"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Positron emission tomography (PET)\/MRI combines the characteristics of metabolism imaging and high soft tissue resolution, and could provide high diagnostic efficacy for assessment of pleural invasion (PI) of lung cancer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the application of<jats:sup>18<\/jats:sup>F\u2010fluorodeoxyglucose (FDG) PET\/MRI for predicting PI of lung cancer with the maximum diameter \u22643\u00a0cm.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>A total of 44 patients with non\u2010small cell lung cancer (NSCLC), age from 39 to 79\u2009years old, including 19 (56.82%) females.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>A 3\u2010T, hybrid PET\/MRI including axial fast spin echo respiratory\u2010triggered T2 fat\u2010suppressed imaging (T2FS) and echo planar imaging diffusion\u2010weighted imaging (DWI).<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>The maximum standardized uptake value (SUVmax) of all lesions was measured on PET images. Localized effusion outside the contact between the nodules and the pleura on T2FS and signal at the contact between the nodules and the pleura on DWI were evaluated by experienced physicians through visual assessment of the MRI sequences.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Three models (models 1\u20133) were developed, incorporating CT, CT and PET, PET and MRI features, and Lasso regression was used in feature selection. The receiver operating characteristic (ROC) curve for PI diagnosis was visualized for each model, and the area under the curve (AUC) was calculated. The DeLong test was used to compare the different AUCs. A<jats:italic>P<\/jats:italic>value\u2009&lt;\u20090.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The AUC of models 1\u20133 was 0.762, 0.829, and 0.915, respectively. The DeLong test showed a statistically significant difference between the AUCs of model 1 vs. model 3, while the differences between the AUCs of model 1 vs. model 2 (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.253) and model 2 vs. model 3 (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.075) were not statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data conclusion<\/jats:title><jats:p><jats:sup>18<\/jats:sup>F\u2010FDG PET\/MRI might show high predictive value for lung adenocarcinoma smaller than 3\u00a0cm with PI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>1<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.28422","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T12:45:28Z","timestamp":1662468328000},"page":"1367-1375","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Predictive Value of<scp><sup>18<\/sup>F\u2010FDG PET<\/scp>\/<scp>MRI<\/scp>for Pleural Invasion in Solid and Subsolid Lung Adenocarcinomas Smaller Than 3\u00a0cm"],"prefix":"10.1002","volume":"57","author":[{"given":"Annan","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education\/Beijing), Department of Nuclear Medicine Peking University Cancer Hospital &amp; Institute Haidian Beijing 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