AIMC Topic: Bevacizumab

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Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models.

BMC medical informatics and decision making Oct 13, 2022
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge...
Humans Deep Learning Chronic Disease Clinical Trials as Topic Bevacizumab Temozolomide Lomustine Natural Language Processing Glioblastoma Nivolumab
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Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 16, 2022
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian cancer, more than 70 % of advanced patients are with recurrent cancer and decease. Surgical debulking of tumors following chemotherapy is the conventiona...
Bevacizumab Treatment Outcome Ovarian Neoplasms Carcinoma, Ovarian Epithelial Female Deep Learning Humans
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Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.

Eye (London, England) Jan 7, 2021
OBJECTIVES: To study the effect of repeated retinal thickness fluctuations during the anti-VEGF therapy maintenance phase in neovascular age-related macular degeneration (nAMD).
Ranibizumab Treatment Outcome Wet Macular Degeneration Visual Acuity Tomography, Optical Coherence Bevacizumab Humans Subretinal Fluid Intravitreal Injections Artificial Intelligence Angiogenesis Inhibitors
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A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

PloS one Apr 30, 2020
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate the ellipsoid zone (EZ) assessed by spectral domain optical coherence tomography (SD-OCT) in eyes with macular edema secondary to central retinal or he...
Recombinant Fusion Proteins Macula Lutea Receptors, Vascular Endothelial Growth Factor Bevacizumab Workflow Macular Edema Vascular Endothelial Growth Factor A Retinal Vein Occlusion Middle Aged Pilot Projects Image Processing, Computer-Assisted Machine Learning Tomography, Optical Coherence Female Drug Monitoring Adult Angiogenesis Inhibitors Male Treatment Outcome Humans
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Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

The British journal of ophthalmology Nov 19, 2019
AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after intravitreal injection (IVI) of anti-vascular endoth...
Humans Bevacizumab Laser Coagulation Male Refraction, Ocular Neural Networks, Computer Ranibizumab Angiogenesis Inhibitors Child, Preschool Retrospective Studies Vascular Endothelial Growth Factor A Retinopathy of Prematurity Visual Acuity Child Female Intravitreal Injections Predictive Value of Tests
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Predicting the efficacy of bevacizumab on peritumoral edema based on imaging features and machine learning.

Scientific reports May 8, 2025
This study proposes a novel approach to predict the efficacy of bevacizumab (BEV) in treating peritumoral edema in metastatic brain tumor patients by integrating advanced machine learning (ML) techniques with comprehensive imaging and clinical data. ...
Middle Aged Treatment Outcome Magnetic Resonance Imaging Bevacizumab Antineoplastic Agents, Immunological Humans Brain Edema Machine Learning Aged Adult Algorithms Brain Neoplasms Retrospective Studies Male Female
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A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based segmentation. However, the prediction of drug effectiveness based on deep learning has fewer studies. Choroidal neovascularization (CNV) and cystoid ma...
Algorithms Deep Learning Tomography, Optical Coherence Bevacizumab Humans Neural Networks, Computer
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Anatomical and visual outcome of intravitreal bevacizumab (Avastin) in patients with diabetic macular edema.

Nepalese journal of ophthalmology : a biannual peer-reviewed academic journal of the Nepal Ophthalmic Society : NEPJOPH Jan 1, 2016
BACKGROUND: Intravitreal bevacizumab has been shown to be an effective treatment of diabetic macular edema.
Treatment Outcome Humans Bevacizumab Visual Acuity Diabetic Retinopathy Recurrence Tomography, Optical Coherence Corneal Topography Angiogenesis Inhibitors Fluorescein Angiography Macular Edema Intravitreal Injections
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[A Patient with Rectal Cancer and Multiple Lung Metastases Treated with XELOX plus Bevacizumab (Bev) Therapy].

Gan to kagaku ryoho. Cancer & chemotherapy Nov 1, 2015
The patient was a 76-year-old woman who underwent laparoscopic-assisted low anterior resection for rectal cancer. According to the Japanese classification of colorectal carcinoma (8th Edition), the tumor was tub1, ly0, v0, and pStage Ⅰ (pT1bN0M0), Cu...
Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Fluorouracil Rectal Neoplasms Female Aged Lung Neoplasms Bevacizumab Oxaloacetates Capecitabine Colectomy Deoxycytidine Humans
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