Results 141 to 150 of about 439,030 (331)

The predictive power of baseline metabolic and volumetric [18F]FDG PET parameters with different thresholds for early therapy failure and mortality risk in DLBCL patients undergoing CAR-T-cell therapy

European Journal of Radiology Open
Objective: [18F]FDG imaging is an integral part of patient management in CAR-T-cell therapy for recurrent or therapy-refractory DLBCL. The calculation methods of predictive power of specific imaging parameters still remains elusive.
Emil Novruzov, Helena A. Peters, Kai Jannusch, Guido Kobbe, Sascha Dietrich, Johannes C. Fischer, Jutta Rox, Gerald Antoch, Frederik L. Giesel, Christina Antke, Ben-Niklas Baermann, Eduards Mamlins   +11 more
doaj  

Optimal time and threshold of absolute lymphocyte count recovery as a prognostic factor after single‐unit cord blood transplantation in adults

, 2021
Takaaki Konuma, Maki Monna‐Oiwa, Kosuke Takano, Masamichi Isobe, Seiko Kato, Satoshi Takahashi, Yasuhito Nannya   +6 more
openalex   +2 more sources

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

Comparative human development thresholds for absolute and relative pro-poor mobile banking in developing countries [PDF]

, 2018
Simplice Asongu, Jacinta C. Nwachukwu
openalex   +1 more source

Trends in Frontier AI Model Count: A Forecast to 2028 [PDF]

arXiv
Governments are starting to impose requirements on AI models based on how much compute was used to train them. For example, the EU AI Act imposes requirements on providers of general-purpose AI with systemic risk, which includes systems trained using greater than $10^{25}$ floating point operations (FLOP).
arxiv  

Log file‐based quality assurance method for respiratory gating system

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background As medical linear accelerator technology advances, enabling higher dose rate deliveries, hypofractionation regimens has increased. This necessitates respiratory gating systems that synchronize radiation delivery with tumor position, requiring simple rigorous quality assurance (QA) to ensure treatment accuracy and patient safety ...
Wonjoong Cheon, Young Kyu Lee, Yunji Seol, Chan‐beom Park, Hong Qi Tan, Kyu Hye Choi, Young‐nam Kang, Byung Ock Choi   +7 more
wiley   +1 more source

Cardiac Surgery-Specific Subtle Perioperative Serum Creatinine Change in Defining Acute Kidney Injury After Coronary Surgery

JACC: Advances
Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is prevalent and increasingly reported. Its diagnosis traditionally follows the Kidney Disease: Improving Global Outcomes (KDIGO) AKI criteria.
Juntong Zeng, MD, PhD, Xiaoting Su, PhD, Shen Lin, MD, PhD, Zhongchen Li, MD, Yan Zhao, MD, Zhe Zheng, MD, PhD   +5 more
doaj  

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood, Shane McCarthy, Josh Misa, David Castelvetere, William St. Clair, Damodar Pokhrel   +5 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
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, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Determination of absolute fission cross section ratios using the method of threshold cross sections

, 1973
Jane W. Behrens
openalex   +1 more source