AIMC Topic: Preoperative Care

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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Hypertension Body Mass Index Bayes Theorem Ascites Hypoalbuminemia Male Middle Aged Risk Assessment Respiration, Artificial Weight Loss Multivariate Analysis Odds Ratio Serum Albumin Mortality Preoperative Care Laminectomy Dyspnea Blood Coagulation Disorders Smoking Metastasectomy Spinal Neoplasms Humans Machine Learning Female Aged Pulmonary Disease, Chronic Obstructive
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Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.

European journal of radiology Aug 28, 2020
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI in predicting the meningioma grade.
Neoplasm Grading Image Interpretation, Computer-Assisted Preoperative Care Male Humans Meningioma Multiparametric Magnetic Resonance Imaging Meningeal Neoplasms Middle Aged Machine Learning ROC Curve Retrospective Studies Predictive Value of Tests Female Area Under Curve Reproducibility of Results
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A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.

Scientific reports Jul 16, 2020
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care-resection and chemoradiation-is limited in part due to the genetic heterogeneity of glioblastoma. Previous studies have i...
Biomarkers, Tumor Brain Neoplasms Male Magnetic Resonance Imaging Cyclin-Dependent Kinase Inhibitor p16 Humans Artificial Intelligence Retrospective Studies Female Sensitivity and Specificity Image Interpretation, Computer-Assisted Isocitrate Dehydrogenase Preoperative Care Chromosomes, Human, Pair 10 Chromosomes, Human, Pair 7 X-linked Nuclear Protein Decision Trees Glioblastoma Gene Expression Mutation Aneuploidy
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Single-Port Robotic Urological Surgery Using Purpose-Built Single-Port Surgical System: Single-Institutional Experience With the First 100 Cases.

Urology Mar 3, 2020
OBJECTIVES: To present a comprehensive report regarding our experience with single-port robotic surgery in our first 100 consecutive patients. We describe the diversity of procedures that can be performed with this platform as well as the challenges ...
Middle Aged Postoperative Complications Urologic Neoplasms Robotics Minimally Invasive Surgical Procedures Humans Robotic Surgical Procedures Female Preoperative Care Aged Conversion to Open Surgery Male Intraoperative Complications Urologic Surgical Procedures Outcome and Process Assessment, Health Care
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A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.

European journal of radiology Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
Pituitary Gland Adenoma Bayes Theorem Machine Learning Image Interpretation, Computer-Assisted Humans Retrospective Studies Immunohistochemistry Adult Female Preoperative Care Male Aged Middle Aged Young Adult Adolescent Magnetic Resonance Imaging Pituitary Neoplasms
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Deep Learning Neoplasm Invasiveness Area Under Curve Esophageal Neoplasms Japan Outcome Assessment, Health Care Esophageal Squamous Cell Carcinoma Preoperative Care Endoscopic Mucosal Resection Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Reproducibility of Results Humans
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Automatic detection of perforators for microsurgical reconstruction.

Breast (Edinburgh, Scotland) Jan 12, 2020
The deep inferior epigastric perforator (DIEP) is the most commonly used free flap in mastectomy reconstruction. Preoperative imaging techniques are routinely used to detect location, diameter and course of perforators, with direct intervention from ...
Humans Artificial Intelligence Preoperative Care Software Female Free Tissue Flaps Pilot Projects Perforator Flap Image Processing, Computer-Assisted Epigastric Arteries Mammaplasty
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A novel artificial intelligence system for the assessment of bowel preparation (with video).

Gastrointestinal endoscopy Nov 26, 2019
BACKGROUND AND AIMS: The quality of bowel preparation is an important factor that can affect the effectiveness of a colonoscopy. Several tools, such as the Boston Bowel Preparation Scale (BBPS) and Ottawa Bowel Preparation Scale, have been developed ...
Rectum Humans Preoperative Care Neural Networks, Computer Artificial Intelligence Reproducibility of Results Colon Colonoscopy Deep Learning Image Processing, Computer-Assisted
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Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.

Annals of surgical oncology Nov 6, 2019
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in th...
Female Aged Survival Rate Biomarkers, Tumor Male Humans Machine Learning Retrospective Studies Neoplasm Staging Tumor Burden Practice Guidelines as Topic Hepatectomy Middle Aged Preoperative Care Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Follow-Up Studies
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Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.

Medical hypotheses Oct 14, 2019
Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) images analysis due to its shape variation and vague boundary. The general hypothesis says that deep learning methods produce improved results on medical i...
Datasets as Topic Preoperative Care Software Design Diagnosis, Computer-Assisted Humans Deep Learning Liver Neoplasms Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Early Detection of Cancer Female Male
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