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Impact of 90Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization.


ABSTRACT:

Background

The purpose was to validate 90Y PET gradient-based tumor segmentation in phantoms and to evaluate the impact of the segmentation method on reported tumor absorbed dose (AD) and biological effective dose (BED) in 90Y microsphere radioembolization (RE) patients. A semi-automated gradient-based method was applied to phantoms and patient tumors on the 90Y PET with the initial bounding volume for gradient detection determined from a registered diagnostic CT or MR; this PET-based segmentation (PS) was compared with radiologist-defined morphologic segmentation (MS) on CT or MRI. AD and BED volume histogram metrics (D90, D70, mean) were calculated using both segmentations and concordance/correlations were investigated. Spatial concordance was assessed using Dice similarity coefficient (DSC) and mean distance to agreement (MDA). PS was repeated to assess intra-observer variability.

Results

In phantoms, PS demonstrated high accuracy in lesion volumes (within 15%), AD metrics (within 11%), high spatial concordance relative to morphologic segmentation (DSC?>?0.86 and MDA??0.99, MDA?Conclusions90Y PET gradient-based segmentation led to accurate/robust results in phantoms, and showed high concordance with MS for reporting mean tumor AD/BED in patients. However, tumor coverage metrics such as D90 exhibited worse concordance between segmentation methods, highlighting the need to standardize segmentation methods when reporting AD/BED metrics from post-therapy 90Y PET. Estimated differences in reported AD/BED metrics due to segmentation method will be useful for interpreting RE dosimetry results in the literature including tumor response data.

SUBMITTER: Mikell JK 

PROVIDER: S-EPMC6265358 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Impact of <sup>90</sup>Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization.

Mikell Justin K JK   Kaza Ravi K RK   Roberson Peter L PL   Younge Kelly C KC   Srinivasa Ravi N RN   Majdalany Bill S BS   Cuneo Kyle C KC   Owen Dawn D   Devasia Theresa T   Schipper Matthew J MJ   Dewaraja Yuni K YK  

EJNMMI physics 20181130 1


<h4>Background</h4>The purpose was to validate <sup>90</sup>Y PET gradient-based tumor segmentation in phantoms and to evaluate the impact of the segmentation method on reported tumor absorbed dose (AD) and biological effective dose (BED) in <sup>90</sup>Y microsphere radioembolization (RE) patients. A semi-automated gradient-based method was applied to phantoms and patient tumors on the <sup>90</sup>Y PET with the initial bounding volume for gradient detection determined from a registered diagn  ...[more]

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