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Treatment Failure

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Defining and discriminating responders from non-responders following transurethral resection of the prostate.

Scandinavian journal of urology
BACKGROUND: Transurethral resection of the prostate (TURP) is the reference standard surgical treatment for lower urinary tract symptoms (LUTS) related to benign prostatic enlargement. The aim of this study was to investigate the response rate follow...

Efficacy and safety of lebrikizumab in adult patients with mild-to-moderate asthma not receiving inhaled corticosteroids.

Respiratory medicine
BACKGROUND: Asthma is a heterogeneous and complex disease in both its clinical course and response to treatment. IL-13 is central to Type 2 inflammation and contributes to many features of asthma. In a previous Phase 2 study, lebrikizumab, an anti-IL...

First Report of NRG Oncology/Radiation Therapy Oncology Group 0622: A Phase 2 Trial of Samarium-153 Followed by Salvage Prostatic Fossa Irradiation in High-Risk Clinically Nonmetastatic Prostate Cancer After Radical Prostatectomy.

International journal of radiation oncology, biology, physics
PURPOSE: To investigate the utility of Sm lexidronam (Quadramet) in the setting of men with prostate cancer status post radical prostatectomy who develop biochemical failure with no clinical evidence of osseous metastases.

Comparative risk of failure of ABC/3TC or TDF/FTC based first-line regimens in patients with a high viral load.

HIV medicine
OBJECTIVES: To compare the efficacy, in current clinical practice, of first regimens containing abacavir with lamivudine (ABC/3TC) or tenofovir with emtricitabine (TDF/FTC) in patients with baseline viral load ≥100,000 HIV-1 RNA copies/mL.

Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring.

Journal of acquired immune deficiency syndromes (1999)
OBJECTIVE: Regular HIV RNA testing for all HIV-positive patients on antiretroviral therapy (ART) is expensive and has low yield since most tests are undetectable. Selective testing of those at higher risk of failure may improve efficiency. We investi...

A mathematical framework for virtual IMRT QA using machine learning.

Medical physics
PURPOSE: It is common practice to perform patient-specific pretreatment verifications to the clinical delivery of IMRT. This process can be time-consuming and not altogether instructive due to the myriad sources that may produce a failing result. The...

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

International journal of radiation oncology, biology, physics
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage brachytherapy occurr...

Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.

Medical physics
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically determines the radiation therapy (RT) success. The existing dose-volume histogram-based metric may grossly under/overestimate the therapeutic toxicity ...