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Bevacizumab

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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
BACKGROUND: Intravitreal bevacizumab has been shown to be an effective treatment of diabetic macular edema.

[A Patient with Rectal Cancer and Multiple Lung Metastases Treated with XELOX plus Bevacizumab (Bev) Therapy].

Gan to kagaku ryoho. Cancer & chemotherapy
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...

Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

The British journal of ophthalmology
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...

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
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...

Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.

Eye (London, England)
OBJECTIVES: To study the effect of repeated retinal thickness fluctuations during the anti-VEGF therapy maintenance phase in neovascular age-related macular degeneration (nAMD).

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
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...

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

BMC medical informatics and decision making
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...