https://www.frontiersin.org/journals/radiology RSS Feed for Frontiers in Radiology | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-05-09T11:53:55.412+00:00 60 https://www.frontiersin.org/articles/10.3389/fradi.2026.1746296 https://www.frontiersin.org/articles/10.3389/fradi.2026.1746296 2026-05-08T00:00:00Z Original Research Luca SalhöferGregor JostMathias HoltkampJannis StrausMarcel OpitzSebastian ZensenRene HoschJohannes HarmesLale UmutluMichael ForstingFelix NensaHubertus PietschJohannes Haubold https://www.frontiersin.org/articles/10.3389/fradi.2026.1809871 https://www.frontiersin.org/articles/10.3389/fradi.2026.1809871 2026-05-08T00:00:00Z Data Report Elena FilimonovaAnton PashkovGalina MoysakAzniv MartirosyanVladimir KurilovAleksandra PoptsovaRenata MorozovaJamil Rzaev https://www.frontiersin.org/articles/10.3389/fradi.2026.1691258 https://www.frontiersin.org/articles/10.3389/fradi.2026.1691258 2026-05-08T00:00:00Z Original Research Yueyang YouLi XuGen WeiFuzhou HuaYingbo Hu https://www.frontiersin.org/articles/10.3389/fradi.2026.1821920 https://www.frontiersin.org/articles/10.3389/fradi.2026.1821920 2026-05-04T00:00:00Z Original Research Xinyi LuoYiwen WangLele XueQi LiuYue YangQin ZhangShiwu Yin https://www.frontiersin.org/articles/10.3389/fradi.2026.1802335 https://www.frontiersin.org/articles/10.3389/fradi.2026.1802335 2026-05-01T00:00:00Z Original Research Huihui LinXiaoyu WangChang WangGengwu LiXu Li https://www.frontiersin.org/articles/10.3389/fradi.2026.1788985 https://www.frontiersin.org/articles/10.3389/fradi.2026.1788985 2026-05-01T00:00:00Z Systematic Review Tomas KlailEmmanouil KaliorasMarc von GernlerRoland GigerAristomenis K. ExadaktylosMartin MüllerFranca Wagner https://www.frontiersin.org/articles/10.3389/fradi.2026.1764357 https://www.frontiersin.org/articles/10.3389/fradi.2026.1764357 2026-04-29T00:00:00Z Original Research Daniel WesslingJan MagnusJan M. BrendelSebastian WernerPatrick KrummKonstantin NikolaouSaif AfatAndreas S. Brendlin https://www.frontiersin.org/articles/10.3389/fradi.2026.1763042 https://www.frontiersin.org/articles/10.3389/fradi.2026.1763042 2026-04-21T00:00:00Z Policy and Practice Reviews Vu Dang LuuDo Dang TanPham Minh ThongLe Van KhangLe Thanh DungLe Trong BinhNguyen Ngoc TrangNguyen Ngoc CuongNguyen Dinh LuanNgo Le LamTrinh Ha ChauThan Van SyNguyen Duy AnhLe Duc ThoTran Duc HuyDang Ngoc HieuPham Quang SonLe Doan TriNguyen Dinh HuongPham Cam PhuongNguyen Tien ThinhVo Duy ThongHo Tan PhatPhan Thi Hong DucPham Gia AnhVo Hoi Trung TrucLam Quoc TrungLe Ba ThaoLe Tuan AnhTran Cong Duy Long https://www.frontiersin.org/articles/10.3389/fradi.2026.1782678 https://www.frontiersin.org/articles/10.3389/fradi.2026.1782678 2026-04-21T00:00:00Z Original Research Xue LiuXinghua LiuLi BinYu ZhangHuiting LiuCailiang Gao 0.75 were selected, and a Radiomics-score (Rad-score) was generated using the Least Absolute Shrinkage and Selection Operator (LASSO) regression algorithm. Integrated models [Logistic regression, random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost)] were developed by fusing the Rad-score, clinical variables, and PET metabolic parameters. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, F1-score, and Brier score. Model calibration was assessed via calibration curves, and clinical utility was validated by decision curve analysis (DCA). Model interpretability was achieved using SHapley Additive exPlanations (SHAP) values for the optimal XGBoost model, and a clinically applicable, interpretable nomogram was constructed based on the core predictive features identified by SHAP analysis to facilitate clinical translation.ResultsA Rad-score was constructed from 17 optimally selected features. In the independent temporal validation set, the single-modality models achieved AUCs of 0.808 (Radiomics Model), 0.732 (Clinical Model), and 0.874 (Metabolic Model). Among all tested models, the XGBoost integrated model achieved the highest AUC of 0.967, which was significantly higher than that of all other models (Bonferroni-adjusted P = 0.002–0.032, all adjusted P < 0.05). SHAP analysis identified ΔSUVmax, Rad-score, and delayed phase total lesion glycolysis (TLG_d) as the top three key predictive features.ConclusionsThe predictive logic of the optimal XGBoost model was decoded via SHAP analysis to identify core predictive features, and a clinically applicable, interpretable nomogram was further established based on a multivariate logistic regression model using these core features, to facilitate the clinical translation of our model.]]> https://www.frontiersin.org/articles/10.3389/fradi.2026.1767875 https://www.frontiersin.org/articles/10.3389/fradi.2026.1767875 2026-04-14T00:00:00Z Original Research Dionne S. BrandsmaManuel Maria Loureiro da RochaLisette van der MolenMaarten J. A. van AlphenMichiel W. M. van den BrekelFrançoise J. Siepel https://www.frontiersin.org/articles/10.3389/fradi.2026.1793604 https://www.frontiersin.org/articles/10.3389/fradi.2026.1793604 2026-04-14T00:00:00Z Original Research Duiming YangHao HuZhimei LiShuilan ZhangJing AiHandan Zhang https://www.frontiersin.org/articles/10.3389/fradi.2026.1822303 https://www.frontiersin.org/articles/10.3389/fradi.2026.1822303 2026-04-13T00:00:00Z Mini Review Pierre SabouretDomenico Mario GiamundoJulien RosencherStefano Figliozzi https://www.frontiersin.org/articles/10.3389/fradi.2026.1798348 https://www.frontiersin.org/articles/10.3389/fradi.2026.1798348 2026-04-10T00:00:00Z Original Research Yuqi HuXiangyu ZhaoGaowei QingKai XieChenglei LiuLichi Zhang https://www.frontiersin.org/articles/10.3389/fradi.2026.1737075 https://www.frontiersin.org/articles/10.3389/fradi.2026.1737075 2026-04-10T00:00:00Z Systematic Review Mubaraq YakubuNavodini WijithilakeJonathan ShapeyAndrew KingAlexander Hammers https://www.frontiersin.org/articles/10.3389/fradi.2026.1795775 https://www.frontiersin.org/articles/10.3389/fradi.2026.1795775 2026-04-10T00:00:00Z Case Report Zhaolong ZhangYanan JiangQi ZhangLiming ShaoHongzhang XuYixing XieXiaolong ZhaoChengjian SunRui Xu https://www.frontiersin.org/articles/10.3389/fradi.2026.1719448 https://www.frontiersin.org/articles/10.3389/fradi.2026.1719448 2026-04-02T00:00:00Z Mini Review Francesco TiralongoRoberto MiniciMakoto Taninokuchi TomassoniCorrado Ini'Davide Giuseppe CastiglioneFrancesco VacircaCristina MosconiStefania TamburriniGiuseppe MessinaEmanuele DavidPietro Valerio FotiStefano PalmucciAntonio Basile https://www.frontiersin.org/articles/10.3389/fradi.2026.1782068 https://www.frontiersin.org/articles/10.3389/fradi.2026.1782068 2026-04-02T00:00:00Z Case Report Wenjuan XuChao ZhangXiaomin LiuXiaoyu Zhang https://www.frontiersin.org/articles/10.3389/fradi.2026.1744940 https://www.frontiersin.org/articles/10.3389/fradi.2026.1744940 2026-04-01T00:00:00Z Original Research Elio ParisAhmer A. KhanGiacomo De MarcoAnne Tabard-FougèreOscar VazquezChristina SteigerRomain DayerDimitri Ceroni https://www.frontiersin.org/articles/10.3389/fradi.2026.1800804 https://www.frontiersin.org/articles/10.3389/fradi.2026.1800804 2026-04-01T00:00:00Z Original Research Yufan GaoKeyi CuiShuo LiangMinghui HuaHong ZhangZhigang Guo https://www.frontiersin.org/articles/10.3389/fradi.2026.1740915 https://www.frontiersin.org/articles/10.3389/fradi.2026.1740915 2026-04-01T00:00:00Z Review Huayi ZhaoTingyu XueYan ZhangYanchao LuDanning WangPei YinLei JiangDan LiuYong Wang