AIMC Topic: Combined Modality Therapy

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Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy for non-metastatic locally advanced pancreatic cancer: a single-center retrospective study.

Radiation oncology (London, England) Feb 10, 2022
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancreatic cancer (LAPC) remain unclear. This study aimed to determine the factors associated with long-te...
Radiation-Sensitizing Agents Middle Aged Time Factors Pancreatic Neoplasms Deoxycytidine Neoplasm Staging Gemcitabine Aged, 80 and over Proton Therapy Humans Combined Modality Therapy Adult Antimetabolites, Antineoplastic Retrospective Studies Survival Rate Female Male Aged
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Methodological advances in the discovery of novel neuroblastoma therapeutics.

Expert opinion on drug discovery Nov 22, 2021
INTRODUCTION: Neuroblastoma is a cancer of the sympathetic nervous system that causes up to 15% of cancer-related deaths among children. Among the ~1,000 newly diagnosed cases per year in Europe, more than half are classified as high-risk, with a 5-y...
Artificial Intelligence Child Immunotherapy Combined Modality Therapy Molecular Targeted Therapy Humans Neuroblastoma
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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).
Carboplatin Docetaxel Esophageal Squamous Cell Carcinoma Immune Checkpoint Inhibitors Nomograms Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Bias Antibodies, Monoclonal, Humanized Humans Female Esophageal Neoplasms Biomarkers, Tumor Support Vector Machine Tomography, X-Ray Computed Combined Modality Therapy Male Middle Aged
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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.
Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Aged, 80 and over Adult Biomarkers, Tumor Male Workflow Combined Modality Therapy Positron-Emission Tomography Disease Management Fluorodeoxyglucose F18 Treatment Outcome Squamous Cell Carcinoma of Head and Neck Positron Emission Tomography Computed Tomography Neoplasm Staging Clinical Decision-Making Female Aged Humans Prognosis Kaplan-Meier Estimate Oropharyngeal Neoplasms
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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 Treatment Outcome Glioma Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms Male Middle Aged Models, Theoretical Prognosis Humans Female Aged Machine Learning
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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...
Randomized Controlled Trials as Topic Robotics Disability Evaluation Combined Modality Therapy Humans Gait Disorders, Neurologic Multiple Sclerosis Exoskeleton Device Walk Test
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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...
Humans Exoskeleton Device Stroke Rehabilitation Gait Disorders, Neurologic Walk Test Female Virtual Reality Single-Blind Method Adult Robotics Combined Modality Therapy Male Task Performance and Analysis Middle Aged
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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...
Guidelines as Topic Upper Extremity Stroke Rehabilitation Humans Robotics Combined Modality Therapy
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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...
Cancer Pain Retrospective Studies Female Risk Factors Aged Humans Neural Networks, Computer Depression Male Prognosis Follow-Up Studies Canada Middle Aged Combined Modality Therapy Neoplasms Symptom Assessment Quality of Life
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