Results 261 to 270 of about 558,215 (330)

Hypervision Proton Surgery: The Future Direction of Proton Therapy

open access: yesiNew Medicine, EarlyView.
ABSTRACT Proton beams provide unique physical advantages characterized by a low entrance dose, negligible exit dose, and a sharp Bragg peak, which enable superior sparing of normal tissues and support safe dose escalation for improved tumor control. However, conventional photon‐based fractionation remains widely used in proton therapy, where prolonged ...
Li Li, Shuanghu Yuan
wiley   +1 more source

MEASUREMENTS OF THE CHARACTERISTICS OF A NATURAL WOOD COMPOSITE BY POSITRON ANNIHILATION BASED ON A SIMULATION MODEL OF THE ANNUAL RING

open access: hybrid
K.P. AREF'EV   +11 more
openalex   +2 more sources

Investigation Into the Utility of 3D Speckle‐Tracking Echocardiography in Detecting Coronary Artery Microcirculation Dysfunction in Ischemia With Non‐Obstructive Coronary Artery Disease

open access: yesJournal of Clinical Ultrasound, EarlyView.
By detecting the subtle regional contractile dysfunction, 3D‐STE can efficiently distinguish CMCD and present a novel strategy for diagnosing INOCA. ABSTRACT Aim To assess the utility of three‐dimensional speckle‐tracking echocardiography (3D‐STE) in detecting coronary artery microcirculation dysfunction (CMCD) with non‐obstructive coronary artery ...
Yuexia Ma   +5 more
wiley   +1 more source

Neoadjuvant Chemotherapy With Gemcitabine/Cisplatin/S‐1 for Resectable Biliary Tract Cancer With FDG‐PET‐Positive Lymph Node Metastasis (KHBO1201): A Multicenter Phase II Trial

open access: yesJournal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Purpose To evaluate the safety and efficacy of neoadjuvant gemcitabine, cisplatin, and S‐1 (GCS) chemotherapy for resectable biliary tract cancer (BTC) and FDG‐PET‐positive lymph nodes in a multicenter phase II study (KHBO1201). Methods Patients with resectable BTC (intrahepatic/extrahepatic bile duct, gallbladder, or ampullary cancers) and ...
Satoshi Ogiso   +9 more
wiley   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

open access: yesJournal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu   +11 more
wiley   +1 more source

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