Results 61 to 70 of about 60,054 (340)

Use of PIRADS 2.1 to predict capsular invasion in patients with radiologic T3a prostate cancer

Frontiers in Oncology, 2023
ObjectiveUsing multi-parametric magnetic resonance imaging (mpMRI) to identify patients with clinical T3a (cT3a) who were overestimated on mpMRI with final pathological T2 (pT2).
Wan Song, Kwang Jin Ko, Jae Kyung Lee, Minyong Kang, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong IL. Seo, Seong Soo Jeon, Jae Hoon Chung   +9 more
doaj   +1 more source

Clinical and Economic Effectiveness of an Inpatient Anticoagulation Service [PDF]

, 1999
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90256/1/phco.19.13.1064.31591 ...
Jensen, Gail, Mamdani, Muhammad M., McCreadie, Scott, O'Sullivan, Tami L., Racine, Eric, Ragatzki, Paul, Stevenson, James G., Zimmerman, Chris   +7 more
core   +1 more source

Logistic Regression and Machine Learning Algorithms for the Risk Prediction of Perioperative Adverse Cardiovascular Events in Elderly Patients

AGING MEDICINE, EarlyView.
This manuscript focused on developing and validating prediction models for PACEs in elderly patients undergoing noncardiac surgery in China, utilizing routine laboratory examination findings. Logistic regression and machine learning algorithms were employed to construct these models.
Xiao Yan Li, Guang You Duan, Lin Li, Yi Yuan Gao, Li Wen Sun, Silin Zhu, Xiyezi Diao, Ning Wang, He Huang   +8 more
wiley   +1 more source

Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation

Cancer Medicine, 2021
Purpose To evaluate the impact of the log odds of positive lymph nodes (LODDS) on cancer‐specific survival (CSS) in colon mucinous adenocarcinoma (MAC) patients, compared with pN stage and the lymph nodes ratio (LNR).
Huajun Cai, Tianbao Xu, Zhicheng Zhuang, Yiyi Zhang, Yuan Gao, Xing Liu, Jinfu Zhuang, Yuanfeng Yang, Guoxian Guan   +8 more
doaj   +1 more source

Analysis of risk factors of secondary intracranial infection in patients with severe traumatic brain injury and construction of a Nomogram prediction model

Chinese Journal of Contemporary Neurology and Neurosurgery, 2023
Objective To screen the risk factors of intracranial infection in patients with severe traumatic brain injury (sTBI) and establish a Nomogram model based on these risk factors.
ZOU Ting⁃ting, MA Li, PAN Wen⁃jing, LI Chang⁃xiu, HU Nai⁃xia, WANG Lei   +5 more
doaj   +1 more source

Circulating Tumor Cells Identify Patients with Super-High-Risk Non-Muscle-Invasive Bladder Cancer: Updated Outcome Analysis of a Prospective Single-Center Trial [PDF]

, 2019
Clinical behavior of non-muscle-invasive bladder cancer (NMIBC) is largely unpredictable, and even patients treated according to European Association of Urology recommendations have a heterogeneous prognosis.
Busetto, Gian Maria, Cortesi, Enrico, de Berardinis, Ettore, Del Giudice, Francesco, Gazzaniga, Paola, Gradilone, Angela, Loreni, Flavia, Nicolazzo, Chiara, Raimondi, Cristina, Sperduti, Isabella   +9 more
core   +1 more source

Developing a Clinician‐Friendly Online Dynamic Nomogram for Survival Prediction in Colon Cancer Patients

Annals of Gastroenterological Surgery, EarlyView.
This study developed a user‐friendly online dynamic nomogram using Bayesian model averaging to predict survival in colon cancer patients. Drawing on data from over 2400 cases, the model demonstrated strong predictive accuracy and was externally validated, offering a practical tool to support personalised clinical decision‐making.
Mohammad Asghari‐Jafarabadi, Simon Wilkins, John Paul Plazzer, Raymond Yap, Paul J. McMurrick   +4 more
wiley   +1 more source

A Surgical Perspective on Targeted Therapy of Hepatocellular Carcinoma. [PDF]

, 2015
Hepatocellular carcinoma (HCC), the second leading cause of cancer deaths worldwide, is difficult to treat and highly lethal. Since HCC is predominantly diagnosed in patients with cirrhosis, treatment planning must consider both the severity of liver ...
Busuttil, Ronald W, Faltermeier, Claire, Zarrinpar, Ali   +2 more
core   +2 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source