AIMC Topic: Middle Aged

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Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.

Journal of magnetic resonance imaging : JMRI Feb 13, 2018
BACKGROUND: Partin tables represent the most widely used predictive tool for prostate cancer stage at prostatectomy but with potential limitations.
Observer Variation Proportional Hazards Models Algorithms Retrospective Studies Reproducibility of Results Aged Male Middle Aged Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Biopsy Humans Software
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Impact of the off-clamp endoscopic robot-assisted simple enucleation (ERASE) of clinical T1 renal tumors on the postoperative renal function: Results from a matched-pair comparison.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 13, 2018
PURPOSE: To evaluate the surgical and functional outcomes of a matched-paired series of on-clamp vs off-clamp endoscopic robot-assisted simple enucleation (ERASE) and standardized renorraphy in a tertiary referral institution, to search for predictor...
Matched-Pair Analysis Propensity Score Carcinoma, Renal Cell Suture Techniques Nephrectomy Surgical Instruments Robotics Neoplasm Staging Laparoscopy Kidney Neoplasms Postoperative Period Retrospective Studies Female Male Middle Aged Treatment Outcome Glomerular Filtration Rate Humans
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Robotic versus laparoscopic radical hysterectomy in early cervical cancer: A case matched control study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 13, 2018
BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results observed after robotic radical hysterectomy (RH) compared to laparoscopy for patients with early stage cervical cancer (ECC) patients.
Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Humans Early Detection of Cancer Survival Rate Robotics Uterine Cervical Neoplasms Neoplasm Staging Middle Aged Laparoscopy Postoperative Complications Italy Incidence Hysterectomy Time Factors
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Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data, ultrasonographic findings and patient demographics.

BMC medical genomics Feb 13, 2018
BACKGROUND: The usage of Artificial Neural Networks (ANNs) for genome-enabled classifications and establishing genome-phenotype correlations have been investigated more extensively over the past few years. The reason for this is that ANNs are good ap...
Humans Neural Networks, Computer Pregnancy Female Young Adult Adult Male Middle Aged Adolescent Ultrasonography Computational Biology Trisomy 13 Syndrome Trisomy 18 Syndrome Klinefelter Syndrome Pregnancy Trimester, First Turner Syndrome Mothers Down Syndrome Demography Prenatal Diagnosis
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Robot-Assisted Technique for Total Gastrectomy and D2 Lymphadenectomy with Anomalous Vasculature.

Annals of surgical oncology Feb 12, 2018
Retrospective Studies Female Aged Aged, 80 and over Adult Stomach Neoplasms Humans Prognosis Laparoscopy Gastrectomy Male Middle Aged Follow-Up Studies Lymph Node Excision Robotics
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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Tricuspid Valve Cardiac Catheters Atrial Flutter Treatment Outcome Follow-Up Studies Aged Robotics Survival Rate Equipment Design Male Humans Surgery, Computer-Assisted Patient Selection Middle Aged Prospective Studies Heart Conduction System Risk Assessment Female Reference Values Severity of Illness Index Catheter Ablation Recurrence Statistics, Nonparametric
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Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

International journal of chronic obstructive pulmonary disease Feb 12, 2018
INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical condition that combines features of those two diseases, and that is difficult to define due to the lack of understanding of the underlying mechanisms. D...
Cross-Sectional Studies Prognosis Male Vital Capacity Interleukin-8 Female Middle Aged Interleukin-13 Humans Aged Discriminant Analysis Lung Interleukin-5 Neural Networks, Computer Adult Interleukin-17 Forced Expiratory Volume Th2 Cells Tumor Necrosis Factor-alpha Pulmonary Disease, Chronic Obstructive Inflammation Mediators Asthma Interleukin-6 Cell Adhesion Molecules Biomarkers Spain
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Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

IEEE transactions on medical imaging Feb 9, 2018
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a ne...
Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Adipose Tissue Thorax Pericardium
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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Journal of cancer research and clinical oncology Feb 9, 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.
Humans Machine Learning Algorithms Prognosis Breast Neoplasms Middle Aged Cohort Studies Magnetic Resonance Imaging Neoplasm Recurrence, Local Multivariate Analysis Female Risk Factors Aged Aged, 80 and over Adult
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Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study.

Scientific reports Feb 9, 2018
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digita...
Early Detection of Cancer Mammography Humans Supervised Machine Learning Algorithms Breast Density Databases, Factual Retrospective Studies Female Adult Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Deep Learning Pilot Projects
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