Results 181 to 190 of about 112,742 (254)

Alternating Hemispheric Diffusion-Weighted Imaging Abnormalities: A Characteristic Imaging Pattern in RHOBTB2 Encephalopathy. [PDF]

Korean J Radiol
Guo Y, Peng X.
europepmc   +1 more source

Bypassing Heteronuclear MRI: Metal‐Free Organosilicon Nanotracers for Background‐Free Hotspot 1H Imaging on Clinical Hardware

Advanced Science, EarlyView.
Organosilicon micelles enable background‐free molecular magnetic resonance imaging (MRI) while remaining fully compatible with standard proton (1H) hardware. By exploiting a spectrally silent 1H window at ∼0 ppm, the silicone nanotracer allows hotspot detection by 1H chemical‐shift imaging (CSI) without metals or heteronuclei, enabling direct overlay ...
Martin Orsagh, Dominik Havlicek, Andrea Galisova, Ondrej Sedlacek, Daniel Jirak   +4 more
wiley   +1 more source

Cascade mentoring: a proposal for transforming radiology education in line with the European training curriculum. [PDF]

Insights Imaging
Vieira A, Vieira AC.
europepmc   +1 more source

Ferroptosis Suppression by the M6A Reader IGF2BP1 Underlies Gemcitabine Resistance in Pancreatic Ductal Adenocarcinoma

Advanced Science, EarlyView.
IGF2BP1 promotes gemcitabine resistance in pancreatic cancer by stabilizing m6A‐modified FTH1 transcripts and protecting them in stress granules, thereby suppressing ferroptosis. Pharmacological inhibition of IGF2BP1 disrupts this protective pathway, restores ferroptotic sensitivity, and enhances gemcitabine efficacy in resistant tumors.
Ying‐Qin Zhu, Yue Huang, Jing‐Yuan Ye, Si‐Yuan Lu, Zhi‐De Liu, Ming‐Jian Ma, De‐Liang Fang, Zi‐Yi Zhao, Jin‐Zhao Xie, Jiao Chen, Xiao‐Yu Yin   +10 more
wiley   +1 more source

Anatomy-Guided Radiology Report Generation With Pathology-Aware Regional Prompts. [PDF]

IEEE Open J Eng Med Biol
Gao Y, Marshall D, Xing X, Ning J, Dai C, Papanastasiou G, Yang G, Komorowski M.   +7 more
europepmc   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Segmental strain in chronic ischemic cardiomyopathy: clarifying the role of multiple-comparison adjustment and the clinical interpretation of limits of agreement. [PDF]

J Cardiovasc Imaging
Malik MMUD, Jayaswal RP.
europepmc   +1 more source

Potential Survival Benefit of Neoadjuvant Docetaxel, Cisplatin and 5‐Fluorouracil Therapy in Patients With Esophageal Squamous Cell Carcinoma With Multiple Lymph Node Metastases: A Single‐Institute Propensity Score Analysis

Annals of Gastroenterological Surgery, EarlyView.
Although neoadjuvant chemotherapy with fluorouracil, cisplatin, and docetaxel (NAC‐DCF) is the current standard neoadjuvant regimen for esophageal squamous cell carcinoma, its substantial toxicity underscores the need to identify patients who derive the greatest benefit.
Eiji Higaki, Tetsuya Abe, Hironori Fujieda, Shigenori Kadowaki, Tsutomu Tanaka, Masahiro Tajika, Koji Komori, Seiji Ito, Isao Oze, Kei Muro   +9 more
wiley   +1 more source

Fetal brain volumes and brain gyrification index associated with opioid exposure. [PDF]

Brain Commun
Vishnubhotla RV, Class JA, Zhao Y, Zelt LL, Reynolds WT, Haas DM, Kherde S, Sadhasivam S, Radhakrishnan R.   +8 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source