Results 71 to 80 of about 33,934 (312)

Indicators of Internal Validity of Nomograms.

, 2016
Indicators of Internal Validity of Nomograms.
Adhemar Longatto-Filho (246146), Flávia L. Osório (466079), Manuela Polidoro Lima (2556667)   +2 more
core   +1 more source

Development and Validation of Survival Nomograms in Patients with Primary Bladder Lymphoma

, 2022
Background: The existing studies on primary bladder lymphoma (PBL) are retrospective analyses based on individual cases or small series studies, and the research on PBL is not unified and in-depth enough at present because of the scarcity of PBL and the ...
Huang, Jian, Tianxin Lin, Shen, Zefeng, Shuogui Fang, Kong, Jianbin, Zefeng Shen, Jian Huang, Wen Dong, Luo, Mingli, Lin, Tianxin, Dong, Wen, Junyi Lin, Mingli Luo, Jintao Hu, Zixin Xu, Lin, Junyi, Fang, Shuogui, Jianbin Kong, Hu, Jintao, Xu, Zixin   +19 more
core   +1 more source

Can we predict surgical outcomes: A systematic review and critical appraisal of clinical prediction models in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico, Mandavi Kashyap, Chantelle Q. Y. Lin, Karl M. Klein, Olayinka I. Arimoro, Samuel Wiebe   +5 more
wiley   +1 more source

Prediction of pathological stage at radical prostatectomy: do commonly used prostate cancer nomograms apply to men from Far North Queensland?

, 2019
Background: Clinical nomograms are routinely used by urologists to predict pathological and clinical outcomes. Commonly used prostate cancer nomograms include Partin's tables and Memorial Sloan Kettering Cancer Centre (MSKCC) nomograms which were ...
Smith, Philip, Nesbitt, Alexander L., Evans, Garrath, Kapoor, Jada, Pridgeon, Simon W., Piesse, Charlotte, Nesbitt, Alexander L, Antoniou, Stefan, Pridgeon, Simon W   +8 more
core   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Personalized Precision in Healthcare Payment Systems: Insights From a Real‐World Cancer Patients Cohort Study

Health Care Science, EarlyView.
We developed an effective prediction model for reasonably high hospitalization costs, using gastric cancer surgery patients as an example. Integrating this assessment into the healthcare payment system based on diagnosis‐related groups is expected to improve the individualization and precision of health insurance fund utilization.
Kan Xue, Hongrui Tian, Qi Wang, Yinkui Wang, Fei Shan, Yansui Yang, Miao Yu, Zhonghu He, Ziyu Li, Jiafu Ji   +9 more
wiley   +1 more source

Predictive performance of gentamicin dosing nomograms

, 2014
Jieon Lee,1 Seonghae Yoon,1 Donghoon Shin,1 HyeKyung Han,1 Hyungmi An,1,2 Jongtae Lee,1 Kyoung Soo Lim,3 Kyung-Sang Yu,1 Howard Lee11Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul ...
Lim KS, Shin D, Yoon S, Yu KS, Lee J, Han H, An H, Lee H   +7 more
core  

A Prediction Model for One‐Year Disability Risk Among Community‐Dwelling Older Adults in China: Integrating Physical, Metabolic, and Psychosocial Factors

Health Care Science, EarlyView.
Based on a prospective cohort of 1003 older adults, we developed and validated a practical disability prediction model integrating physical, metabolic, and psychosocial factors (AUC = 0.716), presented via a user‐friendly nomogram for community use. ABSTRACT Background Disability in older adults, characterized by progressive limitations in performing ...
Yanjun Ma, Chaofan Geng, Zhibin Wang, Yiwei Zhao, Lixin Ma, Pengpeng Ye, Leilei Duan, Guoping Peng, Yi Tang   +8 more
wiley   +1 more source

Pattern of Progression of Oral Potentially Malignant Disorders From Real‐World Data: A 24‐Year Study

Head &Neck, EarlyView.
ABSTRACT Background Oral potentially malignant disorder (OPMD) prognostication is limited by uncertainty of which lesions will progress and the aggressiveness of lesion progression. We defined patterns and kinetics of progression in a large cohort of OPMD subjected to serial clinical and histologic examinations. Methods This 24‐year study evaluated the
Subin Surendran, Sumsum P. Sunny, Preethi M. Chathoth, William J. Magner, S. Lynn Sigurdson, Mihai Merzianu, Norbert Sule, Anurag K. Singh, Kimberly E. Wooten, Ryan P. McSpadden, Vishal Gupta, Amritha Suresh, Ashok Z. Samuel, Rohit Bhargava, Praveen N. Birur, Wesley L. Hicks Jr, Moni Abraham Kuriakose   +16 more
wiley   +1 more source

The use of nomograms in LDR-HDR prostate brachytherapy

, 2011
Purpose: The common use of nomograms in Low Dose Rate (LDR) permanent prostate brachytherapy (BT) allowsto estimate the number of seeds required for an implant. Independent dosimetry verification is recommended for eachclinical dosimetry in BT.
Cristina Camacho, Facundo Ballester, Françoise Lliso, Vicente Carmona, Jose Gimeno, Silvia Rodríguez, Vicente Crispín, Alejandro Tormo, José Richart, Ma Carmen Pujades, Jose Perez-Calatayud   +10 more
core