AIMC Topic: Combined Modality Therapy

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State-of-the-art surgery for pancreatic cancer.

Langenbeck's archives of surgery Nov 9, 2021
BACKGROUND: The d evelopment of surgical techniques and specialization and specifically complication management in pancreatic surgery have improved surgical outcomes as well as oncological results in pancreatic surgery in recent decades. Historical m...
Laparoscopy Robotic Surgical Procedures Combined Modality Therapy Pancreas Pancreatectomy Humans Pancreatic Neoplasms Robotics
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Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.

BMC cancer Oct 30, 2021
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-checkpoint inhibitor plus chemotherapy (ICI + CT) in patients with advanced esophageal squamous cell carcinoma (ESCC).
Bias Esophageal Neoplasms Combined Modality Therapy Humans Carboplatin Esophageal Squamous Cell Carcinoma Antineoplastic Combined Chemotherapy Protocols Tomography, X-Ray Computed Docetaxel Treatment Outcome Female Antibodies, Monoclonal, Humanized Biomarkers, Tumor Support Vector Machine Male Middle Aged Immune Checkpoint Inhibitors Nomograms
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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Humans Prognosis Clinical Decision-Making Female Aged Middle Aged Deep Learning Oropharyngeal Neoplasms ROC Curve Image Processing, Computer-Assisted Treatment Outcome Combined Modality Therapy Squamous Cell Carcinoma of Head and Neck Aged, 80 and over Positron-Emission Tomography Positron Emission Tomography Computed Tomography Adult Disease Management Neoplasm Staging Fluorodeoxyglucose F18 Biomarkers, Tumor Workflow Kaplan-Meier Estimate Male
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A machine learning-based survival prediction model of high grade glioma by integration of clinical and dose-volume histogram parameters.

Cancer medicine Mar 24, 2021
PURPOSE: Glioma is the most common type of primary brain tumor in adults, and it causes significant morbidity and mortality, especially in high-grade glioma (HGG) patients. The accurate prognostic prediction of HGG is vital and helpful for clinicians...
Area Under Curve Combined Modality Therapy Proportional Hazards Models Karnofsky Performance Status Aged Brain Neoplasms Male Middle Aged Models, Theoretical Treatment Outcome Glioma Support Vector Machine Magnetic Resonance Imaging Humans Machine Learning Prognosis Female
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What is the impact of robotic rehabilitation on balance and gait outcomes in people with multiple sclerosis? A systematic review of randomized control trials.

European journal of physical and rehabilitation medicine Feb 4, 2021
INTRODUCTION: In recent years, robot-assisted gait training (RAGT) has been proposed as therapy for balance and gait dysfunctions in people with multiple sclerosis (PwMS). Through this systematic review, we aimed to discuss the impact of RAGT on bala...
Humans Multiple Sclerosis Exoskeleton Device Randomized Controlled Trials as Topic Gait Disorders, Neurologic Robotics Walk Test Disability Evaluation Combined Modality Therapy
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The effects of virtual reality augmented robot-assisted gait training on dual-task performance and functional measures in chronic stroke: a randomized controlled single-blind trial.

European journal of physical and rehabilitation medicine Feb 4, 2021
BACKGROUND: Many studies have demonstrated positive effects of virtual reality (VR) and robot-assisted gait training (RAGT) on balance, gait skills, functional capacity, active participation, and motivation in stroke patients, previously. However, th...
Exoskeleton Device Female Stroke Rehabilitation Adult Gait Disorders, Neurologic Male Walk Test Middle Aged Humans Virtual Reality Robotics Single-Blind Method Combined Modality Therapy Task Performance and Analysis
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Systematic review of guidelines to identify recommendations for upper limb robotic rehabilitation after stroke.

European journal of physical and rehabilitation medicine Jan 25, 2021
INTRODUCTION: Upper limb motor impairment is one of the most frequent stroke consequences. Robot therapy may represent a valid option for upper limb stroke rehabilitation, but there are still gaps between research evidence and their use in clinical p...
Humans Robotics Combined Modality Therapy Guidelines as Topic Upper Extremity Stroke Rehabilitation
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Artificial neural networks for simultaneously predicting the risk of multiple co-occurring symptoms among patients with cancer.

Cancer medicine Dec 22, 2020
Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treatment received, recovery, and long-term health. We aim to simultaneously predict the risk of three symptoms: severe pain, moderate-severe depression, a...
Symptom Assessment Cancer Pain Prognosis Depression Retrospective Studies Canada Female Follow-Up Studies Risk Factors Humans Combined Modality Therapy Aged Neural Networks, Computer Male Middle Aged Neoplasms Quality of Life
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Outcomes of surgical and/or medical treatment in patients with prolactinomas during long-term follow-up: a retrospective single-centre study.

Hormone molecular biology and clinical investigation Dec 17, 2020
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines recommend dopamine agonists (cabergoline or bromocriptine) as the initial therapy for prolactinoma. However, surgical removal can also be considered in...
Middle Aged Humans Adolescent Pituitary Neoplasms Female Treatment Outcome Prognosis Prolactinoma Young Adult Retrospective Studies Combined Modality Therapy Follow-Up Studies Adult Clinical Decision-Making Disease Management Male Tumor Burden
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Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma.

Surgical oncology Nov 20, 2020
BACKGROUND: Genitourinary rhabdomyosarcoma (GU-RMS) is a rare, pediatric malignancy originating from embryonic mesenchyme. Current approaches to prognostication rely upon conventional statistical methods such as Cox proportional hazards (CPH) models ...
Male Deep Learning Child Follow-Up Studies Combined Modality Therapy SEER Program Humans Rhabdomyosarcoma Prognosis Retrospective Studies Female
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