ArticleEuropean journal of nuclear medicine and molecular imaging2016
Development and validation of a direct-comparison method for cardiac (123)I-metaiodobenzylguanidine washout rates derived from late 3-hour and 4-hour imaging.
Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Phantom-Based Standardization Method forAnnals of nuclear cardiology · 2023Article
- IsAnnals of nuclear medicine · 2018Article
- Standardization ofClinical and translational imaging · 2017Review
- (123)I-Meta-iodobenzylguanidine Sympathetic Imaging: Standardization and Application to Neurological Diseases.Chonnam medical journal · 2016Review
- Normal values and standardization of parameters in nuclear cardiology: Japanese Society of Nuclear Medicine working group database.Annals of nuclear medicine · 2016Review
- The impact of acquisition time of planar cardiac (123)I-MIBG imaging on the late heart to mediastinum ratio.European journal of nuclear medicine and molecular imaging · 2016Article
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8 authors.
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Abstract
purposeThe washout rate (WR) has been used in (123)I-metaiodobenzylguanidine (MIBG) imaging to evaluate cardiac sympathetic innervation. However, WR varies depending on the time between the early and late MIBG scans. Late scans are performed at either 3 or 4 hours after injection of MIBG. The aim of this study was to directly compare the WR at 3 hours (WR3h) with the WR at 4 hours (WR4h).
methodsWe hypothesized that the cardiac count would reduce linearly between the 3-hour and 4-hour scans. A linear regression model for cardiac counts at two time-points was generated. We enrolled a total of 96 patients who underwent planar (123)I-MIBG scintigraphy early (15 min) and during the late phase at both 3 and 4 hours. Patients were randomly divided into two groups: a model-creation group (group 1) and a clinical validation group (group 2). Cardiac counts at 15 minutes (countearly), 3 hours (count3h) and 4 hours (count4h) were measured. Cardiac count4h was mathematically estimated using the linear regression model from countearly and count3h.
resultsIn group 1, the actual cardiac count4h/countearly was highly significantly correlated with count3h/countearly (r = 0.979). In group 2, the average estimated count4h was 92.8 ± 31.9, and there was no significant difference between this value and the actual count4h (91.9 ± 31.9). Bland-Altman analysis revealed a small bias of -0.9 with 95 % limits of agreement of -6.2 and +4.3. WR4h calculated using the estimated cardiac count4h was comparable to the actual WR4h (24.3 ± 9.6 % vs. 25.1 ± 9.7 %, p = ns). Bland-Altman analysis and the intraclass correlation coefficient showed that there was excellent agreement between the estimated and actual WR4h.
conclusionThe linear regression model that we used accurately estimated cardiac count4h using countearly and count3h. Moreover, WR4h that was mathematically calculated using the estimated count4h was comparable to the actual WR4h.
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