Results 171 to 180 of about 4,361,080 (379)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks [PDF]

arXiv
In active surveillance of prostate cancer, cancer progression is interval-censored and the examination to detect progression is subject to misclassification, usually false negatives. Meanwhile, patients may initiate early treatment before progression detection, constituting a competing risk.
arxiv  

MicroRNAs in seminal plasma are able to discern infertile men at increased risk of developing testicular cancer

Molecular Oncology, EarlyView.
Male infertility is a known risk factor for the development of testicular cancer. In this paper, we analyzed the expression profile of a microRNA panel by real‐time PCR and validated the results by digital PCR. Experimental and bioinformatics analyses allowed us to identify possible biomarkers able to discern men with a higher risk of developing ...
Carmen Ferrara, Rosalia Battaglia, Angela Caponnetto, Anna Fazzio, Michele Stella, Cristina Barbagallo, Nicolò Musso, Federica Lunelio, Maria Elena Vento, Placido Borzì, Paolo Scollo, Davide Barbagallo, Marco Ragusa, Salvatore Pernagallo, Cinzia Di Pietro   +14 more
wiley   +1 more source

Detection rate for ESR1 mutations is higher in circulating‐tumor‐cell‐derived genomic DNA than in paired plasma cell‐free DNA samples as revealed by ddPCR

Molecular Oncology, EarlyView.
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou, Aliki Ntzifa, Victoria Tserpeli, Ioanna Balgkouranidou, Alkistis Papatheodoridi, Evangelia Razis, Helena Linardou, Christos Papadimitriou, Amanda Psyrri, Flora Zagouri, Stylianos Kakolyris, Evi Lianidou   +11 more
wiley   +1 more source

Understanding and using sensitivity, specificity and predictive values

Indian Journal of Ophthalmology, 2008
In this article, we have discussed the basic knowledge to calculate sensitivity, specificity, positive predictive value and negative predictive value. We have discussed the advantage and limitations of these measures and have provided how we should use ...
Skaik Younis
doaj   +2 more sources

Sensitivity and specificity of MRI in detecting malignant spinal cord compression and in distinguishing malignant from benign compression fractures of vertebrae [PDF]

, 1988
King C. Li, P Y Poon
openalex   +1 more source

Robust acute myeloid leukemia engraftment in humanized scaffolds using injectable biomaterials and intravenous xenotransplantation

Molecular Oncology, EarlyView.
Patient‐derived xenografts (PDXs) can be improved by implantation of a humanized niche. We tested different biomaterials and approaches, and demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for acute myeloid leukemia (AML) xenotransplantation provide the most convenient and robust approach to
Daniel Busa, Zdenka Herudkova, Jan Hyl, Jakub Vlazny, Filip Sokol, Kvetoslava Matulova, Adam Folta, Jakub Hynst, Lucy Vojtova, Leos Kren, Martin Repko, Zdenek Racil, Jiri Mayer, Martin Culen   +13 more
wiley   +1 more source

Timing of EEG for predicting the outcome in patients with massive cerebral hemispheric infarction

Chinese Journal of Contemporary Neurology and Neurosurgery, 2015
Objective To determine the optimal timing of electroencephalogram (EEG) in predicting the outcome in patients with massive cerebral hemispheric infarction (MCHI) by evaluating and comparing the EEG changes during different acute stages after onset ...
Hong-liang LI, Ying-ying SU, Qing-lin YANG, Xiao-mei WANG, Lin WANG, Ran GAO, Wei-bi CHEN   +6 more
doaj  

Sensitivity and specificity of Rinne tuning fork test. [PDF]

, 1988
George G. Browning, I. R. C. Swan
openalex   +1 more source

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes [PDF]

arXiv
Recent studies have highlighted fairness issues in Graph Neural Networks (GNNs), where they produce discriminatory predictions against specific protected groups categorized by sensitive attributes such as race and age. While various efforts to enhance GNN fairness have made significant progress, these approaches are often tailored to specific sensitive
arxiv  

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer

Molecular Oncology, EarlyView.
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu, Fenglin Shen, Yang Liu, Ziqing Zhong, Yongling Chen, Zhiyuan Xia, Cuiju Mo, Hongxiu Yu   +7 more
wiley   +1 more source