Results 191 to 200 of about 3,047,253 (407)
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki+9 more
wiley +1 more source
A Lecture ON WOUND INFECTIONS AND THEIR TREATMENT: Delivered (with Demonstrations) at the Opening of an Exhibition of Surgical Appliances for the Treatment of the Wounded held at the Royal Society of Medicine from October 8th to 14th [PDF]
A. E. Wright
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Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki+13 more
wiley +1 more source
DIAGNOSIS AND OPERATIVE TREATMENT OF GUNSHOT WOUNDS OF THE STOMACH AND INTESTINES.Read by Invitation in the Surgical Section of the Tenth International Medical Congress, August 8, 1890. [PDF]
N. SENN
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Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +1 more source
Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge+9 more
wiley +1 more source
Sepsis in surgical wounds Multiple regression analysis applied to records of post-operative hospital sepsis [PDF]
O. M. Lidwell
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Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang+2 more
wiley +1 more source
Sources of staphylococcal infection in surgical wound sepsis [PDF]
H. F. M. Bassett+5 more
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