scholarly journals The learning curve and difficult points for the O-RADS ultrasound risk stratification system in 54 trainees

2021 ◽  
Author(s):  
Shan Zhou ◽  
Yuyang Guo ◽  
Lieming Wen ◽  
Baihua Zhao ◽  
Minghui Liu
Keyword(s):  
Risk Stratification ◽  
Learning Curve ◽  
Stratification System ◽  
Risk Stratification System

Malignant plasmacytes in bone marrow detected by flow cytometry as a predictor for the risk stratification system of multiple myeloma

2021 ◽  
Author(s):  
MengYue Tian ◽  
ZhaoYun Liu ◽  
Mei Han ◽  
Hui Liu ◽  
Chenhuan Xiang ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Flow Cytometry ◽  
Risk Stratification ◽  
Stratification System ◽  
Risk Stratification System

scholarly journals Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses

2019 ◽  
Vol 8 (3) ◽  
pp. 1024-1033 ◽  
Author(s):  
Yun‐xia Huang ◽  
Yan‐zong Lin ◽  
Jin‐luan Li ◽  
Xue‐qing Zhang ◽  
Li‐rui Tang ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Risk Stratification ◽  
Postoperative Radiotherapy ◽  
Population Analyses ◽  
Stratification System ◽  
Risk Stratification System

666 A NOVEL RISK STRATIFICATION SYSTEM FOR CHEMOTHERAPY FAILURE IN TESTICULAR GERM CELL TUMOR

2012 ◽  
Vol 187 (4S) ◽  
Author(s):  
Jessica Lubahn ◽  
Nicholas Cost ◽  
Mehrad Adibi ◽  
Adam Romman ◽  
Ganesh Raj ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Germ Cell ◽  
Germ Cell Tumor ◽  
Testicular Germ Cell Tumor ◽  
Cell Tumor ◽  
Testicular Germ Cell ◽  
Stratification System ◽  
Risk Stratification System

scholarly journals Evaluation of the Clinical Index of Stable Febrile Neutropenia risk stratification system for management of febrile neutropenia in gynecologic oncology patients

2021 ◽  
pp. 100853
Author(s):  
Karen A. Monuszko ◽  
Benjamin Albright ◽  
Mary Katherine Montes De Oca ◽  
Nguyen Thao Thi Nguyen ◽  
Laura J. Havrilesky ◽  
...  
Keyword(s):  
Febrile Neutropenia ◽  
Risk Stratification ◽  
Gynecologic Oncology ◽  
Oncology Patients ◽  
Clinical Index ◽  
Stratification System ◽  
Risk Stratification System

P-013: Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and 18F-FDG PET/CT

2021 ◽  
Vol 21 ◽  
pp. S46
Author(s):  
Juhyung Kim ◽  
Jung Min Lee ◽  
Hee Jeong Cho ◽  
Sung-Hoon Jung ◽  
Ho-Jin Shin ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Risk Stratification ◽  
Fdg Pet ◽  
Newly Diagnosed ◽  
Pet Ct ◽  
18F Fdg ◽  
Stratification System ◽  
Fdg Pet Ct ◽  
Risk Stratification System

Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification system

2021 ◽  
Author(s):  
Huanlei Zhang ◽  
Ying Zou ◽  
Fengyue Tian ◽  
Wenfei Li ◽  
Xiaodong Ji ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Laryngeal Cancer ◽  
Early Stage ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Stratification System ◽  
Risk Stratification System

Wound risk assessment in ventral hernia repair: generation and internal validation of a risk stratification system using the ACS-NSQIP

Hernia ◽  
2014 ◽  
Vol 19 (1) ◽  
pp. 103-111 ◽  
Author(s):  
J. P. Fischer ◽  
J. D. Wink ◽  
C. T. Tuggle ◽  
J. A. Nelson ◽  
S. J. Kovach
Keyword(s):  
Risk Assessment ◽  
Risk Stratification ◽  
Hernia Repair ◽  
Ventral Hernia ◽  
Ventral Hernia Repair ◽  
Internal Validation ◽  
Acs Nsqip ◽  
Stratification System ◽  
Risk Stratification System

The Influence of Age on Disease Outcome in 2015 ATA High Risk Differentiated Thyroid Cancer Patients

2021 ◽  
Author(s):  
Evert F.s. van Velsen ◽  
Robin P. Peeters ◽  
Merel T. Stegenga ◽  
F.j. van Kemenade ◽  
Tessa M. van Ginhoven ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Response To Therapy ◽  
Disease Outcome ◽  
High Risk Patients ◽  
Risk Patients ◽  
Stratification System ◽  
Risk Stratification System

Objective Recent research suggests that the addition of age improves the 2015 American Thyroid Association (ATA) Risk Stratification System for differentiated thyroid cancer (DTC). The aim of our study was to investigate the influence of age on disease outcome in ATA High Risk patients with a focus on differences between patients with papillary (PTC) and follicular thyroid cancer (FTC). Methods We retrospectively studied adult patients with High Risk DTC from a Dutch university hospital. Logistic regression and Cox proportional hazards models were used to estimate the effects of age (at diagnosis) and several age cutoffs (per five years increment between 20 and 80 years) on (i) response to therapy, (ii) developing no evidence of disease (NED), (iii) recurrence, and (iv) disease specific mortality (DSM). Results We included 236 ATA High Risk patients (32% FTC) with a median follow-up of 6 years. Age, either continuously or dichotomously, had a significant influence on having an excellent response after initial therapy, developing NED, recurrence, and DSM for PTC and FTC. For FTC, an age cutoff of 65 or 70 years showed the best statistical model performance, while this was 50 or 60 years for PTC. Conclusions In a population of patients with High Risk DTC, older age has a significant negative influence on disease outcomes. Slightly different optimal age cutoffs were identified for the different outcomes, and these cutoffs differed between PTC and FTC. Therefore, the ATA Risk Stratification System may further improve should age be incorporated as an additional risk factor.

Risk stratification system for groups with a low, intermediate, and high risk of subsequent distant metastasis and death following isolated locoregional recurrence of breast cancer

2019 ◽  
Vol 179 (2) ◽  
pp. 315-324
Author(s):  
Young Joo Lee ◽  
Heeseung Park ◽  
Cheol Min Kang ◽  
Sung-chan Gwark ◽  
Sae Byul Lee ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Distant Metastasis ◽  
Locoregional Recurrence ◽  
Stratification System ◽  
Risk Stratification System

Can Applying a Risk Stratification System, Preoperatively, Reduce Intraoperative Complications during Phacoemulsification?

2020 ◽  
pp. 1-6
Author(s):  
Pakinee Pooprasert ◽  
James Hansell ◽  
Tafadzwa Young-Zvandasara ◽  
Mohammed Muhtaseb
Keyword(s):  
Risk Stratification ◽  
Intraoperative Complications ◽  
Stratification System ◽  
Risk Stratification System
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