Results 81 to 90 of about 116,458 (273)

MRI-Based Radiomics Nomogram for Selecting Ovarian Preservation Treatment in Patients With Early-Stage Endometrial Cancer

Frontiers in Oncology, 2021
BackgroundOvarian preservation treatment (OPT) was recommended in young women with early-stage endometrial cancer [superficial myometrial invasion (MI) and grades (G) 1/2-endometrioid adenocarcinoma (EEC)].
Bi Cong Yan, Bi Cong Yan, Xiao Liang Ma, Ying Li, Shao Feng Duan, Guo Fu Zhang, Jin Wei Qiang   +6 more
doaj   +1 more source

A call for ethical, equitable, and effective artificial intelligence to improve care for all people with epilepsy: A roadmap. A report by the ILAE Global Advocacy Council and Big Data Commission

Epilepsia, EarlyView.
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson, Sandor Beniczky, Spiros Denaxas, Akio Ikeda, Lara Jehi, Angelina Kakooza Mwesige, Nathalie Jette, Gabriel Davis Jones, Philippe Ryvlin, Arjune Sen, Chahnez Charfi Triki, Gabriella Waters, Alla Guekht, J. Helen Cross   +13 more
wiley   +1 more source

Development and Validation of a Nomogram for Predicting Overall Survival in Pancreatic NeuroendocrineTumors

Translational Oncology, 2018
BACKGROUND: The objective of current study was to develop and validate a nomogram to predict overall survival in pancreatic neuroendocrine tumors (PNETs).
Dong-liu Miao, Wei Song, Jun Qian, Zhi-gang Zhu, Qiong Wu, Chang-guang Lv, Lei Chen   +6 more
doaj   +1 more source

Nomogram for predicting cancer-specific survival in undifferentiated pleomorphic sarcoma: A Surveillance, Epidemiology, and End Results -based study

Cancer Control, 2021
Introduction The purpose of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in undifferentiated pleomorphic sarcoma (UPS) patients at 3, 5, and 8 years after the diagnosis.
Fengshuo Xu, Fanfan Zhao, Xiaojie Feng, Chengzhuo Li, Didi Han, Shuai Zheng, Yue Liu, Jun Lyu   +7 more
doaj   +1 more source

A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging

Cancer Medicine, 2021
Background Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical ...
Xinye Li, Jinming Xu, Linhai Zhu, Sijia Yang, Li Yu, Wang Lv, Jian Hu   +6 more
doaj   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

Evolution of Fagan's Nomogram; a Commentary

Emergency, 2016
I read with interest your paper entitled "Pre and post-test probabilities and Fagan’s nomogram. I would like to add a note concerning an update on Fagan’s Nomogram.
Abdelrahman Ibrahim Abushouk
doaj  

Tumor‐educated platelets in cancer diagnostics and prognostics: A critical appraisal and roadmap for clinical translation

International Journal of Cancer, EarlyView.
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon, Min‐Kyung Lee, Eunyong Ahn, Heeyeon Kim, Yong Sang Song, Taejin Ahn   +5 more
wiley   +1 more source

A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer

Journal of Translational Medicine, 2020
Accurate lymph node metastasis (LNM) prediction in colorectal cancer (CRC) patients is of great significance for treatment decision making and prognostic evaluation.
Menglei Li, Jing Zhang, Yibo Dan, Yefeng Yao, W. Dai, G. Cai, Guang Yang, T. Tong   +7 more
semanticscholar   +1 more source

A Machine Learning Model Based on Blood Indices for the Differential Diagnosis of Colorectal Cancer and Colorectal Polyps

iLABMED, EarlyView.
This diagram systematically sorts out the complete data processing pipeline, clearly presenting the key links and logical connections from raw data collection, preprocessing (including cleaning, deduplication, format standardization, etc.), and core computational analysis to the result output.
Wenhui Yan, Lin Zhu, Hongming Wei, Jie Feng, Yanhong Gao   +4 more
wiley   +1 more source