Guido Germano1,2, Paul B Kavanagh3, Terrence D Ruddy4, R Glenn Wells4, Yuan Xu5, Daniel S Berman3,5,6, Piotr J Slomka3,6. 1. Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Guido.Germano@cshs.org. 2. David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA. Guido.Germano@cshs.org. 3. Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. 4. University of Ottawa Heart Institute, Ottawa, ON, Canada. 5. Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA. 6. David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.
Abstract
OBJECTIVES: This paper investigates the ability of grouped quantification (an expression of the same-patient processing approach, or SPP) to improve repeatability of measurements in patients with multiple SPECT studies, and evaluates its performance compared to standard quantification in a population of 100 patients undergoing rest, stress, gated rest, and gated stress SPECT MPI. All acquisitions were performed twice, back-to-back, for a total of 800 image datasets (8 per patient). METHODS: Each dataset was automatically processed (a) independently, using standard quantitative software, and (b) as a group, together with the other 7 datasets belonging to the same patient, using an SPP-modified version of the software that registered the images to one another using a downhill simplex algorithm for the search of optimal translation, rotation, and scaling parameters. RESULTS: Overall, grouped quantification resulted in significantly lower differences between repeated measurements of stress ungated volumes (1.40 ± 2.76 mL vs 3.33 ± 5.06 mL, P < .05), end-diastolic volumes (1.78 ± 2.78 vs 3.49 ± 5.35 mL, P < .05), end-systolic volumes (1.17 ± 1.96 vs 2.44 ± 3.35 mL, P < .05), and LVEFs (-0.45 ± 2.29% vs -1.16 ± 3.30%, P < .05). Additionally, grouped quantification produced better repeatability (lower repeatability coefficients) for stress and rest ungated volumes (5.4 vs 9.9 and 5.2 vs 13.1, respectively), stress TPD (2.6 vs 3.6), stress and rest end-diastolic volumes (5.5 vs 10.5 and 7.2 vs 14.7, respectively), stress and rest end-systolic volumes (3.8 vs 6.6 and 5.3 vs 10.3, respectively), stress and rest LVEFs (4.5 vs 6.5 and 4.7 vs 8.2, respectively), and rest total motion deficit (5.6 vs 9.6). CONCLUSION: It is possible to improve the repeatability of quantitative measurements of parameters of myocardial perfusion and function derived from SPECT MPI studies of a same patient by group processing of image datasets belonging to that patient. This application of the same-patient processing approach is an extension of the "paired processing" technique already described by our group, and can be performed in automated fashion through incorporation in the quantitative algorithm.
OBJECTIVES: This paper investigates the ability of grouped quantification (an expression of the same-patient processing approach, or SPP) to improve repeatability of measurements in patients with multiple SPECT studies, and evaluates its performance compared to standard quantification in a population of 100 patients undergoing rest, stress, gated rest, and gated stress SPECT MPI. All acquisitions were performed twice, back-to-back, for a total of 800 image datasets (8 per patient). METHODS: Each dataset was automatically processed (a) independently, using standard quantitative software, and (b) as a group, together with the other 7 datasets belonging to the same patient, using an SPP-modified version of the software that registered the images to one another using a downhill simplex algorithm for the search of optimal translation, rotation, and scaling parameters. RESULTS: Overall, grouped quantification resulted in significantly lower differences between repeated measurements of stress ungated volumes (1.40 ± 2.76 mL vs 3.33 ± 5.06 mL, P < .05), end-diastolic volumes (1.78 ± 2.78 vs 3.49 ± 5.35 mL, P < .05), end-systolic volumes (1.17 ± 1.96 vs 2.44 ± 3.35 mL, P < .05), and LVEFs (-0.45 ± 2.29% vs -1.16 ± 3.30%, P < .05). Additionally, grouped quantification produced better repeatability (lower repeatability coefficients) for stress and rest ungated volumes (5.4 vs 9.9 and 5.2 vs 13.1, respectively), stress TPD (2.6 vs 3.6), stress and rest end-diastolic volumes (5.5 vs 10.5 and 7.2 vs 14.7, respectively), stress and rest end-systolic volumes (3.8 vs 6.6 and 5.3 vs 10.3, respectively), stress and rest LVEFs (4.5 vs 6.5 and 4.7 vs 8.2, respectively), and rest total motion deficit (5.6 vs 9.6). CONCLUSION: It is possible to improve the repeatability of quantitative measurements of parameters of myocardial perfusion and function derived from SPECT MPI studies of a same patient by group processing of image datasets belonging to that patient. This application of the same-patient processing approach is an extension of the "paired processing" technique already described by our group, and can be performed in automated fashion through incorporation in the quantitative algorithm.
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Authors: Ernest V Garcia; Tracy L Faber; C David Cooke; Russell D Folks; Ji Chen; Cesar Santana Journal: J Nucl Cardiol Date: 2007-07 Impact factor: 5.952
Authors: Christopher L Hansen; Richard A Goldstein; Olakunle O Akinboboye; Daniel S Berman; Elias H Botvinick; Keith B Churchwell; C David Cooke; James R Corbett; S James Cullom; Seth T Dahlberg; Regina S Druz; Edward P Ficaro; James R Galt; Ravi K Garg; Guido Germano; Gary V Heller; Milena J Henzlova; Mark C Hyun; Lynne L Johnson; April Mann; Benjamin D McCallister; Robert A Quaife; Terrence D Ruddy; Senthil N Sundaram; Raymond Taillefer; R Parker Ward; John J Mahmarian Journal: J Nucl Cardiol Date: 2007 Nov-Dec Impact factor: 5.952
Authors: Guido Germano; Paul B Kavanagh; Mathews B Fish; Mark H Lemley; Yuan Xu; Daniel S Berman; Piotr J Slomka Journal: J Nucl Cardiol Date: 2016-10-14 Impact factor: 5.952
Authors: Ami E Iskandrian; Vasken Dilsizian; Ernest V Garcia; Rob S Beanlands; Manuel Cerqueira; Prem Soman; Daniel S Berman; Alberto Cuocolo; Andrew J Einstein; Charity J Morgan; Fadi G Hage; Heinrich R Schelbert; Jeroen J Bax; Joseph C Wu; Leslee J Shaw; Mehran M Sadeghi; Nagara Tamaki; Philipp A Kaufmann; Robert Gropler; Sharmila Dorbala; William Van Decker Journal: J Nucl Cardiol Date: 2017-11-06 Impact factor: 5.952