An Ultrasound Imaging Technique to Measure Tumors in People With Pancreatic Ductal Adenocarcinoma (PDAC) or Gastrointestinal (GI) Adenocarcinoma

Machine Learning Approach to Sonographic Assessment of Tumor Volumes for Response Assessment in Patients With Pancreas or Gastrointestinal Adenocarcinoma: A Pilot Study

The purpose of this study is to see if ultrasound images that are analyzed by a special computer program can be used to measure the size of PDAC tumors in the liver as accurately as CT scans that involve contrast material (also called contrast-enhanced CT scans). All participants in this study will have pancreatic ductal adenocarcinoma (PDAC) that has spread (metastasized) to the liver, and all participants will be scheduled for a routine CT scan that will measure their cancer.

Inclusion Criteria:

• Male and female patients, 18 years of age or older
• Confirmed diagnosis of PDAC or GI tract adenocarcinoma metastatic to liver
• Scheduled for imaging with contrast enhanced CT

Exclusion Criteria:

• Inability to tolerate intravenous contrast medium
• All liver metastases ≤ 10 mm in maximal diameter on the contrast enhanced CT used for comparison to the planned research ultrasound
• Multiple confluent liver metastases or tumor burden > 50% of the liver as estimated by a radiologist