Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancer

Ended Project Grant Awarded Last action

Award ID
R01EB030494
Recipient
Awarding agency
Obligated
$4,340,234

Award facts

Completion date
Funding
  • $3,697,206.00 Federal
  • $643,028.00 Non-federal
Place of performance
Pennsylvania, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
The proposed project concentrates on technology developments to enable high sensitivity, bias-tolerant spectral CT for accurate quantitation of iodine concentration. Spectral CT has the potential of providing true quantitative information of tissue composition and provides an avenue for combined functional and structural imaging. High- sensitivity spectral CT accommodates anatomical sites that are traditionally hard to image, and reliable meas- urements of iodine perfusion allow additional quantitative measures such as tissue texture to aid diagnosis and clinical decision making. In the case of pancreatic cancer, the complex tumor microenvironment and the conse- quential poor perfusion characteristics lead to difficulty in diagnosis, staging, and treatment assessment. The need for visualizing low-enhancing lesions and the benefit of extracting quantitative information directly from image data strongly motivate a high-sensitivity imaging modality for reproducible iodine measurements. The need for visualizing low-enhancing lesions and the benefit of extracting quantitative information directly from image data strongly motivate a high-sensitivity imaging modality for reproducible iodine measurements. How- ever, state-of-the-art spectral CT presents large quantitation bias, i.e., inaccuracies in measured iodine concen- tration compared to the truth. We identify three major sources that contribute to quantitation bias: imaging system (e.g., spectrum mismatch), post-processing (e.g., biased estimator), and patient (scatter, beam hardening). The bias effect in current spectral CT cannot be fully eliminated by increasing radiation exposure, and has complex dependencies on the imaging system, imaging techniques, patient habitus, and processing algorithms. This in- accuracy is a major impediment to pancreatic cancer management and quantitative applications in general. The overall goal of this proposal is to develop robust, high-sensitivity spectral CT solutions that will enhance sensi- tivity and reduce variability in iodine quantitation, which in turn enables accurate, high-performance spectral biomarkers for disease management. The following specific aims will be pursued: (1) to develop an end-to-end, modular theoretical model for robust spectral CT design and optimization, (2) to develop bias-tolerant processing pipeline, and (3) to implement and evaluate high performance, hybrid spectral CT solutions on an experimental CT bench. Completion of the proposed efforts enables robust, high sensitivity spectral CT for improved tumor detection and characterization through accurate, high performance spectral biomarkers. Vendor- and spectral technology-independent outcomes of the proposal include: optimized, patient-specific protocols; post-processing pipelines that are robust against quantitative bias and variability; and the next generation spectral CT system designs for enhanced iodine quantitation. Achievements from the proposed project will improve sensitivity and quantitation accuracy of iodinated contrast media in spectral CT which enables quantitative diagnostics and treatment assessment using robust iodine biomarkers across a broad range of clinical applications.

Transactions

Action Federal Non-federal Date
Amendment $583,894 $0
Amendment $599,728 $0
Amendment $613,764 $0
Amendment $613,764 $0
Amendment $643,028 $0
Original award $643,028 $643,028

Subawards

Subrecipient Amount Awarded
Philips North America LLC Jointly responsible for the integration of the dual-layer detector into the CT bench (Aim 3) Assist with deploying optimized CT solutions from Aim 1 and 2… $41,363
The Johns Hopkins University The following specific tasks will be performed according to the specific aims in the main proposal: 1. Lead efforts in building image quality models for general… $107,000
Philips North America LLC Jointly responsible for the integration of the dual-layer detector into the CT bench (Aim 3) Assist with deploying optimized CT solutions from Aim 1 and 2… $41,363
The Johns Hopkins University The following specific tasks will be performed according to the specific aims in the main proposal: 1. Lead efforts in building image quality models for general… $120,207

Quick answers

Who received award R01EB030494?

R01EB030494 was awarded to The Trustees Of The University Of Pennsylvania by National Institute of Biomedical Imaging and Bioenginering (National Institutes of Health) on September 22, 2021.

How much is award R01EB030494 worth?

$4,340,234 has been obligated on R01EB030494: $3,697,206 in federal funding and $643,028 in non-federal funding.

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