Enoch Chang
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Metastasis-directed radiotherapy for oligometastatic urothelial carcinoma of the bladder and upper tract Open
Background Metastasis-directed therapy (MDT) for oligometastatic cancer is utilized for genitourinary malignancies including prostate and kidney cancers. Clinical research on MDT for urothelial carcinoma (UC) remains sparse, especially as …
View article: Safety and efficacy of liver-directed radiotherapy after chemoimmunotherapy for advanced cholangiocarcinoma: an early report from a large tertiary cancer center
Safety and efficacy of liver-directed radiotherapy after chemoimmunotherapy for advanced cholangiocarcinoma: an early report from a large tertiary cancer center Open
RT appears safe for patients with CCA who receive chemoimmunotherapy, with promising survival outcomes. Immune kinetics and other standard clinicopathological features may identify important prognostic differences amongst patients and help…
Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning Open
Based on the renewable energy assessment in 2023, it was found that only 21% of total electricity is generated using renewable sources. As the global demand for electricity rises in the AI world, the need for electricity management will in…
View article: Measurable imaging-based changes in enhancement of intrahepatic cholangiocarcinoma after radiotherapy reflect physical mechanisms of response
Measurable imaging-based changes in enhancement of intrahepatic cholangiocarcinoma after radiotherapy reflect physical mechanisms of response Open
Background Although escalated doses of radiation therapy (RT) for intrahepatic cholangiocarcinoma (iCCA) are associated with durable local control (LC) and prolonged survival, uncertainties persist regarding personalized RT based on biolog…
View article: Phase I trial of single-photon emission computed tomography–guided liver-directed radiotherapy for patients with low functional liver volume
Phase I trial of single-photon emission computed tomography–guided liver-directed radiotherapy for patients with low functional liver volume Open
Background Traditional constraints specify that 700 cc of liver should be spared a hepatotoxic dose when delivering liver-directed radiotherapy to reduce the risk of inducing liver failure. We investigated the role of single-photon emissio…
Comparison of radiomic feature aggregation methods for patients with multiple tumors Open
Radiomic feature analysis has been shown to be effective at analyzing diagnostic images to model cancer outcomes. It has not yet been established how to best combine radiomic features in cancer patients with multifocal tumors. As the numbe…
View article: Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival Open
This study found that within a large cancer registry-based real-world data source, there was a high prevalence of missing data that were unable to be ascertained from the medical record. The prevalence of missing data among patients with c…
Public vs physician views of liability for artificial intelligence in health care Open
The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result from care delivered jointly by physicians and algorithms. In this survey study comparing vie…
View article: Using Adversarial Images to Assess the Stability of Deep Learning Models Trained on Diagnostic Images in Oncology
Using Adversarial Images to Assess the Stability of Deep Learning Models Trained on Diagnostic Images in Oncology Open
Purpose Deep learning (DL) models have rapidly become a popular and cost-effective tool for image classification within oncology. A major limitation of DL models is output instability, as small perturbations in input data can dramatically …
Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors Open
Background Radiomic feature analysis has been shown to be effective at modeling cancer outcomes. It has not yet been established how to best combine these radiomic features in patients with multifocal disease. As the number of patients wit…
View article: Prevalence of missing data in the National Cancer Database and association with overall survival
Prevalence of missing data in the National Cancer Database and association with overall survival Open
Importance Cancer registries are important real-world data (RWD) sources that rely on data abstraction from the medical record, however, patients with unknown or missing data are under-represented in studies that use such data sources. Obj…
NIMG-03. DEEP LEARNING SURVIVAL ANALYSIS FOR MULTIPLE BRAIN METASTASES Open
PURPOSE Deep learning survival models show promise for outcome prediction by leveraging the ability to model non-linear relationships between pixel-level imaging predictors and survival data. We hypothesized that a deep learning survival m…