Characterizing Primary Breast Cancer and Nodal Involvement with High-Resolution PET/MRI: Novel PET Configurations and Preliminary Results

Shouyi Wei, Lemise Saleh, Michael Salerno, Jules Cohen, Alison Stopeck, Lea Baer, Paul Fisher, Dinko Franceschi, Patricia Thompson, Paul Vaska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High-resolution PET imaging has considerable potential to improve management of breast cancer, especially if it could be acquired simultaneously with the clinical standard of breast MRI. In this multimodal approach, PET contributes critical information on specific molecular subtypes and heterogeneity, while avoiding the challenge of reproducibly positioning the breast which confronts technologists when PET and MRI images are acquired separately. Using a compact, high-resolution and MR-compatible PET system (VersaPET) mounted into a breast MRI table, we have begun to assess the feasibility of this approach by collecting preliminary FDG data on primary tumors in breast cancer patients. In order to augment this approach to examine nodal involvement, we also performed a simulation study that incorporates novel detector geometries to expand the FOV to include axillary lymph nodes which are critical for diagnosing metastasis. We evaluated scanner geometries with limited angle sampling and features including time of flight (TOF) and depth of interaction (DOI) readouts, using GATE simulation and detection-based tasks using channelized Hotelling observer (CHO). Our simulation result indicates superior performance for detection of low-grade (3:1 lesion to tissue contrast), small (3 mm diameter) lesions using the proposed scanners compared to whole-body PET. We show that the incorporation of a DOI resolution of 2 mm substantially improves the detection tasks for the proposed scanner designs, while TOF capability is less impactful.

Original languageEnglish (US)
Title of host publication2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728176932
DOIs
StatePublished - 2020
Externally publishedYes
Event2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 - Boston, United States
Duration: Oct 31 2020Nov 7 2020

Publication series

Name2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

Conference

Conference2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
Country/TerritoryUnited States
CityBoston
Period10/31/2011/7/20

ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

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