AIMC Topic: Retrospective Studies

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Robotic Approach to Outpatient Inguinal Hernia Repair.

Journal of the American College of Surgeons May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
Retrospective Studies Aged Young Adult Adult Middle Aged Adolescent Robotics Ambulatory Surgical Procedures Outpatients Herniorrhaphy Hernia, Inguinal Humans
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Aged Adult Middle Aged Diagnosis, Computer-Assisted Deep Learning Treatment Outcome Humans Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Philadelphia Leiomyoma Uterine Artery Embolization Magnetic Resonance Imaging Predictive Value of Tests Uterine Neoplasms Image Interpretation, Computer-Assisted Observer Variation
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Humans Machine Learning Databases, Factual Uterine Artery Embolization Risk Assessment Infant Length of Stay Adolescent Time Factors Radiography, Interventional Aged, 80 and over Retrospective Studies Child, Preschool Image-Guided Biopsy Young Adult Female Child Portasystemic Shunt, Transjugular Intrahepatic Adult Hospital Mortality Infant, Newborn Iatrogenic Disease Male United States Risk Factors Pneumothorax Middle Aged Inpatients Aged Data Mining
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Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.

Acta neurochirurgica May 1, 2020
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and requires balancing of risk factors and scores. Machine learning (ML) algorithms have previously been effective at generating highly accurate and comprehe...
Humans Machine Learning Algorithms Prognosis Retrospective Studies Pilot Projects Cohort Studies Female Treatment Outcome Risk Factors Microsurgery Adult Neurosurgical Procedures Male Intracranial Aneurysm Middle Aged
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Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.

BJS open Apr 30, 2020
BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but their impact on robotic low rectal proctectomy is not fully investigated. This study assessed the impact of an ERAS pathway on the outcomes and cost of...
Proctectomy Adult Humans Laparoscopy Male Retrospective Studies Tertiary Care Centers Middle Aged Female Rectal Neoplasms Length of Stay Aged France Robotics Aged, 80 and over Costs and Cost Analysis Enhanced Recovery After Surgery
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Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.

European radiology Apr 29, 2020
OBJECTIVES: To develop a deep learning-based method for automated classification of renal cell carcinoma (RCC) from benign solid renal masses using contrast-enhanced computed tomography (CECT) images.
Angiomyolipoma Adenoma, Oxyphilic Contrast Media Diagnosis, Differential Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Humans
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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Humans Neural Networks, Computer Machine Learning Computer Simulation Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Clinical Decision Rules Young Adult China Adult Adolescent Male Logistic Models Middle Aged Support Vector Machine Hemodynamics Area Under Curve Computed Tomography Angiography
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Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.

European radiology Apr 29, 2020
OBJECTIVES: To investigate the optimal input matrix size for deep learning-based computer-aided detection (CAD) of nodules and masses on chest radiographs.
Radiography Lung Radiographic Image Interpretation, Computer-Assisted Humans Diagnosis, Computer-Assisted Precancerous Conditions Neural Networks, Computer Deep Learning Radiography, Thoracic Retrospective Studies Lung Neoplasms Solitary Pulmonary Nodule Female Aged Male Middle Aged
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Predictive Value of Tests Humans Positron Emission Tomography Computed Tomography Neural Networks, Computer Radiopharmaceuticals Middle Aged Retrospective Studies Neoplasm Metastasis Female Fluorodeoxyglucose F18 Imaging, Three-Dimensional Lung Neoplasms Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis
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Deep neural network inspired by iterative shrinkage-thresholding algorithm with data consistency (NISTAD) for fast Undersampled MRI reconstruction.

Magnetic resonance imaging Apr 28, 2020
With the aim of developing a fast algorithm for high-quality MRI reconstruction from undersampled k-space data, we propose a novel deep neural Network, which is inspired by Iterative Shrinkage Thresholding Algorithm with Data consistency (NISTAD). NI...
Humans Retrospective Studies Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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