Results 21 to 30 of about 34,329 (314)

NAFLD‐related hepatocellular carcinoma: The growing challenge

Hepatology, EarlyView., 2022
Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah, Rashmee Patil, Stephen A. Harrison   +2 more
wiley   +1 more source

Prostate cancer nomograms: an update [PDF]

, 2006
Objective: Several nomograms have been developed to predict outcomes related to prostate cancer (PCa). Methods: We provide a descriptive and an analytic comparison of nomograms.
Huland H, BRIGANTI , ALBERTO, Gallina A, MONTORSI , FRANCESCO, Chun FK, Karakiewicz P, Kattan MW, Graefen M.   +7 more
core   +1 more source

Nomograms in the History and Education of Machine Mechanics [PDF]

, 2023
Computing formulae and solving equations are essential elements of scientific analysis. While today digital tools are almost always applied, analog computing is a rich part of the larger history of science and technology.
Marco Cocconcelli, Giovanni Mottola
core   +1 more source

Nomograms to Predict the Individual Survival of Patients with Solitary Hepatocellular Carcinoma after Hepatectomy

Gut and Liver, 2017
Background/AimsSolitary hepatocellular carcinoma (HCC) is a subgroup of HCCs. We aimed to establish nomograms for predicting the survival of solitary HCC patients after hepatectomy.Methods : A total of 538 solitary HCC patients were randomly classified ...
Junyi Shen, Linye He, Chuan Li, Tianfu Wen, Weixia Chen, Changli Lu, Lvnan Yan, Bo Li, Jiayin Yang   +8 more
doaj   +1 more source

Predictive models for thromboembolic events in giant cell arteritis: A US veterans health administration population-based study

Frontiers in Immunology, 2022
Giant cell arteritis (GCA) that affects older patients is an independent risk factor for thromboembolic events. The objective of this study was to identify predictive factors for thromboembolic events in patients with GCA and develop quantitative ...
Despina Michailidou, Despina Michailidou, Tianyu Zhang, Nicole M. Kuderer, Gary H. Lyman, Gary H. Lyman, Andreas P. Diamantopoulos, Pavlos Stamatis, Bernard Ng, Bernard Ng   +9 more
doaj   +1 more source

Staging Systems and Nomograms for Soft Tissue Sarcoma [PDF]

, 2023
Reliable tools for prognosis prediction are crucially needed by oncologists so they can tailor individual treatments. However, the wide spectrum of histologies and prognostic behaviors of sarcomas challenges their development.
Maria Danieli, Alessandro Gronchi
core   +1 more source

A Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Pheochromocytoma

Frontiers in Endocrinology, 2022
PurposeSurgical removal of pheochromocytoma (PCC), including open, laparoscopic, and robot-assisted adrenalectomy, is the cornerstone of therapy, which is associated with high risk of intraoperative and postoperative life-threatening complications due to
Zhiqiang Zhang, Yunlin Ye, Jiajie Yu, Shufen Liao, Weibin Pan, Yan Guo, Shuangjian Jiang, Cheng Luo, Fufu Zheng   +8 more
doaj   +1 more source

Nomograms for morphometric gravel analysis [PDF]

, 1977
Most methods of quantitative morphometric gravel analysis are very time consuming. To alleviate this situation, the author has developed three nomograms for plotting the Gailleux indices of roundness, flatness and dissymmetry.
van Genderen, John L.
core   +1 more source

A Novel Magnetic Resonance Imaging-Based Radiomics and Clinical Predictive Model for the Regrowth of Postoperative Residual Tumor in Non-Functioning Pituitary Neuroendocrine Tumor

Medicina, 2023
Background and Objectives: To develop a novel magnetic resonance imaging (MRI)-based radiomics–clinical risk stratification model to predict the regrowth of postoperative residual tumors in patients with non-functioning pituitary neuroendocrine tumors ...
Chaodong Shen, Xiaoyan Liu, Jinghao Jin, Cheng Han, Lihao Wu, Zerui Wu, Zhipeng Su, Xiaofang Chen   +7 more
doaj   +1 more source

Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules

Biomedicines, 2022
Multiple prediction models for risk of in-hospital mortality from COVID-19 have been developed, but not applied, to patient cohorts different to those from which they were derived.
Modesto M. Maestre-Muñiz, Ángel Arias, Alfredo J. Lucendo   +2 more
doaj   +1 more source