Clinical Trials Search at Vanderbilt-Ingram Cancer Center

The goal of this study is to provide access to axicabtagene ciloleucel for patients diagnosed with a disease approved for treatment with axicabtagene ciloleucel, that is otherwise out of specification for commercial release.

The goal of this study is to provide access to brexucabtagene autoleucel for patients diagnosed with a disease approved for treatment with brexucabtagene autoleucel, that is otherwise out of specification for commercial release.

The purpose of this study is to compare the two approaches for monitoring pancreatic cysts. The study doctors want to compare more frequent monitoring vs less frequent monitoring in order to learn which monitoring method leads to better outcome for patients with pancreatic cysts.

The goal of this study is to investigate whether the therapeutic response of pancreatic tumors can be accurately assessed using quantitative DCE-MRI, when the inter/intra-scanner variability is reduced using the Point-of-care Portable Perfusion Phantom, P4. The intra-scanner variability over time leads to errors in therapy monitoring, while the inter-scanner variability impedes the comparison of data among institutes. The P4 is small enough to be imaged concurrently in the bore of a standard MRI scanner with a patient for real-time quality assurance. The P4 is safe, inexpensive and easily operable, thus it has great potential for widespread and routine clinical use for accurate diagnosis, prognosis and therapy monitoring.

This study has identified two arms, one arm is healthy individuals that will undergo DCE MRI at three different MRI locations to establish baseline results. The healthy volunteers will undergo these MRIs prior to the second arm, which contains patients with pancreatic cancer. The pancreatic cancer patients will only have DCE MRI done at one location.

This clinical trial studies whether a biomarker platform, the Virtual Nodule Clinic, can be used for the management of lung (pulmonary) nodules that are not clearly non-cancerous (benign) or clearly cancerous (malignant) (indeterminate pulmonary nodules \[IPNs\]). The management of IPNs is based on estimating the likelihood that the observed nodule is malignant. Many things, such as age, smoking history, and current symptoms, are considered when making a prediction of the likelihood of malignancy. Radiographic imaging characteristics are also considered. Lung nodule management for IPNs can result in unnecessary invasive procedures for nodules that are ultimately determined to be benign, or potential delays in treatment when results of tests cannot be determined or are falsely negative. The Virtual Nodule Clinic is an artificial intelligence (AI) based imaging software within the electronic health record which makes certain that identified pulmonary nodules are screened by clinicians with expertise in nodule management. The Virtual Nodule Clinic also features an AI based radiomic prediction score which designates the likelihood that a pulmonary nodule is malignant. This may improve the ability to manage IPNs and lower unnecessary invasive procedures or treatment delays. Using the Virtual Nodule Clinic may work better for the management of IPNs.