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Quantitative Imaging in Medicine and Surgery|February 11, 2026
Acquisition of Ktrans perfusion parameter maps from DCE-MRI in breast cancer using a deep learning approachJingfei Li, Mu Du, Yubao Liu, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Updated evidence on the accuracy of 18F-fluorodeoxyglucose positron emission tomography/computed tomography in esophageal cancer staging: a systematic review of studies published between 2017 and 2024Omar Abdulaziz Alharthi, Muhanad Mohammad Esailan, Rahaf Sameer Tammar, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
The predictive value of Plaque-RADS classification in two-dimensional carotid ultrasound for stroke risk stratificationYuanfu Ouyang, Guorong Lyu, Shaomin Huang, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
68Ga-FAPI renal cortical uptake: a diagnostic and predictive biomarker for kidney disease in PET/CT imagingXiao Zhong, Junjun Cheng, Yiqiao Luo, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Clinical and neuroradiologic spectrum of glutaric acidemia type 1 in children: insights from a retrospective cohort in Guangdong Province, ChinaHaige Zheng, Liguang Fang, Rui Wang, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Association between a novel ultrasound-based measure of plaque burden and cardiovascular risk: the P-SONAR studyGunnar Austad, Jonn Terje Geitung, Owen Thomas, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Assessing the diagnostic value of hemodynamic distinctions between axillary lymph nodes and adjacent vessels in breast cancer axillary lymph node metastasis via breast magnetic resonance imagingXueying Wang, Lu Han, Zihan Qin, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Revealing artifacts in contrast-enhanced mammography: prevalence and implications for diagnostic accuracyAnna Colarieti, Eleonora Ostillio, Luca Eletti, et al.Quantitative Imaging in Medicine and Surgery|February 11, 2026
Prediction of stroke events in patients with type 2 diabetes mellitus by interpretable machine learning based on perivascular adipose tissue features: a multicenter cohort studyTing Zhao, Guihan Lin, Weiyue Chen, et al.Quantitative Imaging in Medicine and Surgery|November 10, 2025
The value of multi-parametric magnetic resonance imaging (MRI) radiomics in predicting isocitrate dehydrogenase (IDH) wildtype with telomerase reverse tranase (TERT) promoter mutation in gliomaJuan Wang, Danni Qu, Haoyu Zhang, et al.Pageof 443