Results 211 to 220 of about 52,953 (291)

CT-Based Clinical-Radiomics for Differentiating Talaromyces marneffei Spondylitis From Tuberculous Spondylitis Before Pathogen Confirmation: A Multicentre Diagnostic Study in an Endemic Region. [PDF]

Mycoses
Zhao X, Teng Y, Wu G, Huang R, Liao W, Cheng L, Wei S, Zong S, Zeng G.   +8 more
europepmc   +1 more source

Opportunities and Challenges in FLASH Radiotherapy: Focusing on Normal Tissue Protection Effects and Clinical Translation Bottleneck

Cancer Medicine, Volume 15, Issue 11, November 2026.
ABSTRACT FLASH radiotherapy (FLASH‐RT) has garnered significant attention for its “FLASH effect”, which selectively protects normal tissues while maintaining tumor‐killing efficacy at ultra‐high dose rates (UHDR). This technology represents a promising but still investigational therapeutic strategy in radiation oncology.
Xuan‐Lu He, Hong‐Shuai Li, Fei Tang, Yi Zhang, Wen Yang, Ya‐Ting Lu, Jia‐Min Guo, Wen‐Jun Meng, Zhen Liu, Yu Zhang, Xing‐Chen Peng   +10 more
wiley   +1 more source

Radiomics-based interpretable machine learning model for identifying high-risk patients with small bowel obstruction: a multicenter study. [PDF]

Front Med (Lausanne)
Zhang G, Liu X, Huang W, Zhu X, Xia C, Xia H, Wei Y, Han X, Wang D.   +8 more
europepmc   +1 more source

Multiple Machine Learning Algorithms for Predicting Postoperative Residual Tumor in Pituitary Neuroendocrine Tumors

CNS Neuroscience &Therapeutics, Volume 32, Issue 11, November 2026.
An explainable random forest–based machine learning model accurately predicted postoperative residual tumors in PitNETs, with tumor size and Knosp grade as major predictors, offering a web‐based tool for individualized surgical risk assessment and precision management.
Mingrui Li, Chenyang Zhao, Guodong Tang, Yang Li, Qing Liu   +4 more
wiley   +1 more source

The Combined Value of the Prognostic Nutritional Index and Pan‐Immune‐Inflammation Value in Predicting Neoadjuvant Chemotherapy and Survival in Locally Advanced Colon Cancer: A Retrospective Study

Immunity, Inflammation and Disease, Volume 14, Issue 11, November 2026.
ABSTRACT Background The pan‐immune inflammation value (PIV) and prognostic nutritional index (PNI) are established markers of systemic inflammatory/immune status and nutritional status, respectively. The potential synergistic effect of combining these indices remains unexplored. This study aimed to evaluate the utility of a novel combined PIV‐PNI score
Zihao Chen, Jiangyu Li, Ruoxi Gao, Lei Liang, Jun Yang, Ting Zhao   +5 more
wiley   +1 more source

AI- and Deep Learning-Based Radiomics: A State-of-the-Art Review. [PDF]

J Korean Soc Radiol
Le TD, Lee S, Choi H, Arthar A, Kim J, Jung JY.   +5 more
europepmc   +1 more source

Application of MR Cytometry in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparative Study

Journal of Magnetic Resonance Imaging, Volume 64, Issue 5, Page 1346-1360, November 2026.
ABSTRACT Background MR cytometry imaging is developed to characterize in vivo microstructures. Its clinical value in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer remains unknown. Purpose To implement MR cytometry to predict pCR for breast cancer and compare the performance of different ...
Jie Ding, Diwei Shi, Shiyun Sun, Jinlong Zheng, Wentao Yang, Caixia Fu, Dazhi Chen, Junzhong Xu, Hua Guo, Chao You, Yajia Gu   +10 more
wiley   +1 more source

Fusing Radiomics and Ultrasonic Features: A Superior Nomogram for Diagnosing Cervical Tuberculous Lymphadenitis. [PDF]

Infect Drug Resist
Liu X, Liu Y, Sun F, Liu L, Li H, Zhang C, Du J, Zhang L, Zhao L.   +8 more
europepmc   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 11, Page 4219-4234, November 2026.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani, Rüdiger von Eisenhart‐Rothe, Klaus Woertler, Michael T. Hirschmann, Daniel Rueckert, Florian Hinterwimmer   +5 more
wiley   +1 more source

Impact of dose reduction and multi‐parametric harmonization on multi‐organ radiomics robustness in total‐body PET imaging: Methodological implications for quantitative theranostics

Medical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Radiomic features derived from positron emission tomography (PET) are sensitive to count statistics and acquisition protocol variability, thereby limiting quantitative reliability in low‐dose and multi‐center total‐body PET imaging.
Mohammad Saber Azimi, Maryam Cheraghi, Habib Zaidi   +2 more
wiley   +1 more source