Document Detail


A comparison of amplitude-based and phase-based positron emission tomography gating algorithms for segmentation of internal target volumes of tumors subject to respiratory motion.
MedLine Citation:
PMID:  24074930     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To quantitatively compare the accuracy of tumor volume segmentation in amplitude-based and phase-based respiratory gating algorithms in respiratory-correlated positron emission tomography (PET).
METHODS AND MATERIALS: List-mode fluorodeoxyglucose-PET data was acquired for 10 patients with a total of 12 fluorodeoxyglucose-avid tumors and 9 lymph nodes. Additionally, a phantom experiment was performed in which 4 plastic butyrate spheres with inner diameters ranging from 1 to 4 cm were imaged as they underwent 1-dimensional motion based on 2 measured patient breathing trajectories. PET list-mode data were gated into 8 bins using 2 amplitude-based (equal amplitude bins [A1] and equal counts per bin [A2]) and 2 temporal phase-based gating algorithms. Gated images were segmented using a commercially available gradient-based technique and a fixed 40% threshold of maximum uptake. Internal target volumes (ITVs) were generated by taking the union of all 8 contours per gated image. Segmented phantom ITVs were compared with their respective ground-truth ITVs, defined as the volume subtended by the tumor model positions covering 99% of breathing amplitude. Superior-inferior distances between sphere centroids in the end-inhale and end-exhale phases were also calculated.
RESULTS: Tumor ITVs from amplitude-based methods were significantly larger than those from temporal-based techniques (P=.002). For lymph nodes, A2 resulted in ITVs that were significantly larger than either of the temporal-based techniques (P<.0323). A1 produced the largest and most accurate ITVs for spheres with diameters of ≥2 cm (P=.002). No significant difference was shown between algorithms in the 1-cm sphere data set. For phantom spheres, amplitude-based methods recovered an average of 9.5% more motion displacement than temporal-based methods under regular breathing conditions and an average of 45.7% more in the presence of baseline drift (P<.001).
CONCLUSIONS: Target volumes in images generated from amplitude-based gating are larger and more accurate, at levels that are potentially clinically significant, compared with those from temporal phase-based gating.
Authors:
Shyam S Jani; Clifford G Robinson; Magnus Dahlbom; Benjamin M White; David H Thomas; Sergio Gaudio; Daniel A Low; James M Lamb
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  International journal of radiation oncology, biology, physics     Volume:  87     ISSN:  1879-355X     ISO Abbreviation:  Int. J. Radiat. Oncol. Biol. Phys.     Publication Date:  2013 Nov 
Date Detail:
Created Date:  2013-09-30     Completed Date:  2013-11-18     Revised Date:  2014-11-04    
Medline Journal Info:
Nlm Unique ID:  7603616     Medline TA:  Int J Radiat Oncol Biol Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  562-9     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Inc. All rights reserved.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Analysis of Variance
Fluorodeoxyglucose F18 / diagnostic use,  pharmacokinetics
Lung Neoplasms / metabolism,  pathology,  radionuclide imaging*
Lymph Nodes / metabolism,  pathology,  radionuclide imaging*
Mediastinum
Movement*
Multimodal Imaging / instrumentation,  methods*
Phantoms, Imaging
Positron-Emission Tomography / methods*
Radiopharmaceuticals / diagnostic use,  pharmacokinetics
Respiration*
Statistics, Nonparametric
Tomography, X-Ray Computed*
Tumor Burden*
Grant Support
ID/Acronym/Agency:
R01 CA096679/CA/NCI NIH HHS; R01 CA116712/CA/NCI NIH HHS; R01CA096679/CA/NCI NIH HHS; R01CA116712/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Radiopharmaceuticals; 0Z5B2CJX4D/Fluorodeoxyglucose F18
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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