AIMC Topic: Retrospective Studies

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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Recurrence Risk Factors Young Adult Pituitary ACTH Hypersecretion Adult Male Models, Statistical Data Mining Humans Machine Learning Algorithms Retrospective Studies Female
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Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Patient Selection Humans Quality Improvement Machine Learning Laparotomy Algorithms Abdominal Injuries Trauma Severity Indices Retrospective Studies Sensitivity and Specificity Clinical Decision-Making Male Female Middle Aged Young Adult Blood Transfusion Adult Blood Pressure
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Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

World journal of surgical oncology Jan 8, 2019
BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. ...
Male Middle Aged Thyroid Gland Ultrasonography Thyroid Nodule ROC Curve Diagnosis, Differential Predictive Value of Tests Image Interpretation, Computer-Assisted Retrospective Studies Female Aged Young Adult Adult Humans Neural Networks, Computer Prognosis
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Humans Machine Learning Predictive Value of Tests Male Blood Flow Velocity Prospective Studies Heart Diseases Aorta Middle Aged Retrospective Studies Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Hemodynamics Automation Female Magnetic Resonance Imaging, Cine United States Proof of Concept Study Reproducibility of Results Aortic Valve Aged
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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Physics in medicine and biology Jan 7, 2019
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel intensities are not related to properties of photon attenuation and bone/air interfaces have similarly low signal. This work presents a learning-based meth...
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Humans Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Positron-Emission Tomography Aged Aged, 80 and over Young Adult Adult Brain Neoplasms
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Brain Waves Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Optical Devices Child Imaging, Three-Dimensional Magnetic Resonance Imaging Robotics Electroencephalography Neuronavigation Tomography Scanners, X-Ray Computed Humans Brain Retrospective Studies Female Male Child, Preschool
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Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Retrospective Studies Female Reproducibility of Results Male Middle Aged Deep Learning Humans Neural Networks, Computer Algorithms Retinal Diseases ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Tomography, Optical Coherence Retina
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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.

AJR. American journal of roentgenology Jan 2, 2019
OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patient...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed DNA-Binding Proteins Female Kidney Neoplasms Reproducibility of Results Carcinoma, Renal Cell Aged Male Middle Aged Nuclear Proteins Humans Transcription Factors Machine Learning Contrast Media Algorithms Predictive Value of Tests Retrospective Studies Mutation
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Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

Fertility and sterility Jan 2, 2019
OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF)...
Embryo Implantation Fertility Sperm Injections, Intracytoplasmic Infertility Single Embryo Transfer Risk Factors Male Risk Assessment Fertilization in Vitro Treatment Outcome Decision Support Techniques Retrospective Studies Pregnancy Female Reproducibility of Results Humans Machine Learning
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Intensity-modulated radiation therapy of anal squamous cell carcinoma: Relationship between delineation quality and regional recurrence.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 31, 2018
BACKGROUND AND PURPOSE: Intensity-modulated radiation therapy (IMRT) is currently indicated to treat anal squamous cell carcinoma (ASCC). Conformal dose delivery and steep dose gradients may cause marginal misses. We analyzed patterns of locoregional...
Radiotherapy Planning, Computer-Assisted Humans Aged Anus Neoplasms Retrospective Studies Adult Female Male Radiotherapy, Intensity-Modulated Carcinoma, Squamous Cell Middle Aged Risk Factors Neoplasm Recurrence, Local
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