Improving Small Renal Mass Delineation and Quantification in PET by Contrast-Enhanced MR-Guided Reconstruction: A Pilot Study Using Hybrid PET/MR Data

21 May 2024, 19:00
20m
La Biodola, Isola d'Elba

La Biodola, Isola d'Elba

Hotel Hermitage
Oral PET/MR and SPECT/MR PET/MR reconstruction

Speaker

Jaewon Yang (University of Texas Southwestern)

Description

Purpose: 18F-FDG PET/MR offers a unique opportunity to probe the biology of small renal masses (SRMs; cT1a ≤4cm). To address the low spatial resolution of PET (4-5 mm), our aim is to improve the delineation and quantification of SRMs in PET through contrast-enhanced MR-guided reconstruction.

Method: A FDG PET/MR examination was performed in an mMR for a patient with a known SRM. Furosemide (20 mg) was injected to suppress background uptake in the kidney. As the SRM did not show activity above the renal parenchyma, a PET-avid SRM with the same size and location of the known SRM was inserted into PET images, realistically and efficiently simulating a lesion with low uptake (signal-to-background ratio of 2). High resolution PET images were reconstructed through the One-Step Late Bowsher (OSL-Bow) algorithm with a high-resolution MR prior and compared with post-smoothed conventional reconstruction.

Result: In terms of visually comparing the synthetic SRM, our OSL-Bow implementation is superior to the post-smoothed reconstruction. Higher regularization enhances the edges of the SRM, reduces bias, but leads to increase variance compared to lower regularization.

Discussion and Conclusion: We have demonstrated the feasibility of MR-guided image reconstruction to improve the delineation and quantification of SRMs. For further investigation, we will assess our implementation with clinical data, including PET-avid SRMs.

Field Software and quantification

Primary author

Jaewon Yang (University of Texas Southwestern)

Co-authors

Dr Kyungsang Kim (Massachusetts General Hospital and Harvard Medical School) Dr Junyu Guo (University of Texas Southwestern) Dr Hongli Fan (Siemens Medical Solutions USA) Dr Nghi Nguyen (University of Texas Southwestern) Dr Clive Musonza (University of Texas Southwestern) Dr Ivan Pedrosa (University of Texas Southwestern)

Presentation materials