| Literature DB >> 26897008 |
Kenichi Nakajima1, Naoya Matsumoto2, Tokuo Kasai3, Shinro Matsuo4, Keisuke Kiso5, Koichi Okuda6.
Abstract
As a 2-year project of the Japanese Society of Nuclear Medicine working group activity, normal myocardial imaging databases were accumulated and summarized. Stress-rest with gated and non-gated image sets were accumulated for myocardial perfusion imaging and could be used for perfusion defect scoring and normal left ventricular (LV) function analysis. For single-photon emission computed tomography (SPECT) with multi-focal collimator design, databases of supine and prone positions and computed tomography (CT)-based attenuation correction were created. The CT-based correction provided similar perfusion patterns between genders. In phase analysis of gated myocardial perfusion SPECT, a new approach for analyzing dyssynchrony, normal ranges of parameters for phase bandwidth, standard deviation and entropy were determined in four software programs. Although the results were not interchangeable, dependency on gender, ejection fraction and volumes were common characteristics of these parameters. Standardization of (123)I-MIBG sympathetic imaging was performed regarding heart-to-mediastinum ratio (HMR) using a calibration phantom method. The HMRs from any collimator types could be converted to the value with medium-energy comparable collimators. Appropriate quantification based on common normal databases and standard technology could play a pivotal role for clinical practice and researches.Entities:
Keywords: 123I-Metaiodobenzylguanidine (MIBG) quantification; Japanese Society of Nuclear Medicine (JSNM) working group; Myocardial perfusion imaging; Normal database
Mesh:
Year: 2016 PMID: 26897008 PMCID: PMC4819542 DOI: 10.1007/s12149-016-1065-z
Source DB: PubMed Journal: Ann Nucl Med ISSN: 0914-7187 Impact factor: 2.668
Achievements of JSNM working group activities in 2007 and 2015
| Normal database types | JSNM working group 2007 | JSNM working group 2015 |
|---|---|---|
| Normal perfusion database at stress and rest | -SPECT databases specific for gender, 99mTc MIBI/tetrofosmin and 201Tl, and camera rotation ranges (180/360°) | -Adenosine stress included |
| -Increased number of databases with a complete set of gated and non-gated data | ||
| -Only with exercise stress | ||
| Databases for multifocal collimators with IQ-SPECT | -Not done | -Databases for supine, prone, and CT-based attenuation correction |
| Databases for fatty acid imaging | -123I-BMIPP SEPCT databases specific for gender and rotation ranges (180/360°) | -Not done |
| Databases for sympathetic imaging | -123I-MIBG SPECT databases specific for gender, rotation ranges (180/360°), and early and late imaging | -Cross-calibration of 123I-MIBG HMR with all possible collimator types based on calibration phantom experiments |
| -Planar anterior images specific for LE and ME/LME collimators | ||
| -MIBG defect scoring for new software programs | ||
| Validations with software programs | -Normal ranges of LVEF, volume and diastolic parameters | -Normal ranges of LVEF, volume and diastolic parameters (recalculated) |
| -Comparison between Japanese and US databases | ||
| -Normal values of phase dyssynchrony parameters in four software programs |
SPECT single-photon emission computed tomography, HMR heart-to-mediastinum ratio, LVEF left ventricular ejection fraction, LE low energy, ME medium energy, LME low medium energy, US United States
Working group and collaborated researchers
| Working group members | |
| Kenichi Nakajima | Kanazawa University, Chief of the working group |
| Naoya Matsumoto | Nihon University Hospital |
| Tokuo Kasai | Tokyo Medical University Hachioji Medical Center |
| Keisuke Kiso | National Cerebral and Cardiovascular Center |
| Mitsuru Momose | Tokyo Woman’s Medical University |
| Masayasu Nakagawa | Akita City Hospital |
| Masao Miyagawa | Ehime University |
| Kenji Uchida | Tokyo Medical University |
| Shinro Matsuo | Kanazawa University Hospital |
| Masahisa Onoguchi | Kanazawa University School of Health Science |
| Koichi Okuda | Kanazawa Medical University |
| Collaboration for data collections | |
| Chisato Kondo | Tokyo Woman’s Medical University |
| Masayoshi Sarai | Fujita Health University Hospital |
| Yoriko Horiguchi | Sagamihara National Hospital |
| Collaboration regarding data processing and software preparation | |
| Ernest Garcia | Emory University, Atlanta, GA, USA; Syntermed Inc. Atlanta, GA, USA |
| Shimizu Takeshi | Siemens Japan, Tokyo, Japan |
| Kazunori Kobayashi | Nihon Medi-physics, Co. Ltd,, Tokyo, Japan |
| Takehiro Ishikawa | Fujifilm RI Pharma, Tokyo, Co. Ltd, Japan |
| Lars Edenbrandt | University of Gothenburg, Gothenburg; EXINI Diagnostics, Lund, Sweden |
| Edward Ficaro | University of Michigan Health System; INVIA Medical Imaging Solutions, LLC, Ann Arbor, MI, USA |
Characteristics of MPI databases
|
| |
|---|---|
| Number of data | 285 |
| Number of hospital | 9 |
|
99mTc or 201Tl ( | 99mTc 206, 201Tl 79 |
|
99mTc-MIBI or tetrofosmin ( | MIBI 110, Tetrofosmin 95 |
| 180° or 360° ( | 180° 169, 360° 116 |
| Number of RR division ( | 16 frames 206, 8 frames 79 |
| Sex ( | Male 145, Female 140 |
| Age (years) | 65 ± 12 (range 16–88) |
| Male | |
| Height (cm) | 166 ± 6 |
| Weight (kg) | 63 ± 10 |
| Body mass index (kg/m2) | 22.7 ± 3.3 (range 15.7–33.7) |
| Female | |
| Height (cm) | 154 ± 6 |
| Weight (kg) | 53 ± 8 |
| Body mass index (kg/m2) | 22.1 ± 3.1 (range 16.2–35.6) |
| Exercise or pharmacological stress | Exercise 182, Adenosine 30, Exercise + Adenosine 73 |
| Exercise: heart rate (/min) | 131 ± 21 |
| Exercise: systolic blood pressure (mmHg) | 193 ± 32 |
| Exercise: diastolic blood pressure (mmHg) | 93 ± 22 |
Number of IQ-SPECT databases is not included
Fig. 1Polar perfusion maps and summed stress score (SSS) calculated by QGS, cardioREPO and Heart Score View (HSV). The patient had significant stenosis (90 %) in the right coronary artery, and an inferior low perfusion area is shown in the stress image
Fig. 2IQ-SPECT normal databases created with supine and prone positions, and CT-based attenuation correction (AC) and scatter correction (SC). After CT-based correction, gender difference was not observed
Normal values for LV volume, EF and diastolic parameters at rest using 99mTc MIBI/tetrofosmin MPI (16-frame gated study)
| Male | SD | Lower limit | Upper limit | Female | SD | Lower limit | Upper limit |
| |
|---|---|---|---|---|---|---|---|---|---|
|
| 106 | 100 | |||||||
| EF (%) | 66.9 | 6.6 | 54 | 80 | 75.1 | 7.6 | 60 | 90 | <0.0001 |
| EDV (mL) | 80.8 | 19.6 | 42 | 120 | 59.0 | 13.6 | 32 | 86 | <0.0001 |
| ESV (mL) | 27.3 | 9.9 | 8 | 47 | 15.2 | 7.2 | 1 | 30 | <0.0001 |
| EDVI (mL/m2) | 47.8 | 10.1 | 28 | 68 | 39.4 | 7.5 | 24 | 54 | <0.0001 |
| ESVI (mL/m2) | 16.2 | 5.5 | 5 | 27 | 10.0 | 4.3 | 1 | 19 | <0.0001 |
| Diastolic | |||||||||
| PFR (/s) | 2.42 | 0.52 | 1.38 | 3.45 | 2.87 | 0.63 | 1.61 | 4.12 | <0.0001 |
| 1/3MFR (/s) | 1.39 | 0.32 | 0.74 | 2.03 | 1.59 | 0.34 | 0.91 | 2.27 | <0.0001 |
| TPFR (ms) | 175 | 33 | 108 | 241 | 165 | 30 | 106 | 224 | 0.024 |
| TPFR/RR | 0.19 | 0.05 | 0.09 | 0.29 | 0.18 | 0.03 | 0.12 | 0.25 | 0.42 |
| Diastolic (age ≤65y) | 52 | 42 | |||||||
| PFR (/s) | 2.57 | 0.49 | 1.58 | 3.55 | 2.96 | 0.67 | 1.63 | 4.30 | 0.0011 |
| 1/3MFR (/s) | 1.49 | 0.32 | 0.85 | 2.13 | 1.65 | 0.33 | 0.99 | 2.32 | 0.014 |
| TPFR (ms) | 169 | 27 | 115 | 223 | 161 | 28 | 105 | 217 | 0.15 |
| TPFR/RR | 0.19 | 0.05 | 0.09 | 0.29 | 0.18 | 0.03 | 0.12 | 0.25 | 0.36 |
Lower and upper limits were calculated by mean ± 2SD
All values are based on QGS software
EF ejection fraction, EDV end-diastolic volume, ESV end-systolic volume, EDVI EDV index, ESVI ESV index, PFR peak filling rate, MFR, 1/3MFR one-third mean filling rate, TPFR time to PFR, TPFR/RR, TPFR divided by RR interval
Normal values for LV volume and EF at rest using 201Tl MPI (8-frame gated study)
| Male | SD | Lower limit | Upper limit | Female | SD | Lower limit | Upper limit |
| |
|---|---|---|---|---|---|---|---|---|---|
|
| 39 | 40 | |||||||
| EF (%) | 61.9 | 6.3 | 49 | 74 | 66.4 | 8.1 | 50 | 83 | 0.0067 |
| EDV (mL) | 69.8 | 14.2 | 41 | 98 | 60.8 | 11.0 | 39 | 83 | 0.0023 |
| ESV (mL) | 26.9 | 7.9 | 11 | 43 | 20.8 | 7.4 | 6 | 36 | 0.0007 |
| EDVI (mL/m2) | 41.6 | 8.2 | 25 | 58 | 40.6 | 7.5 | 26 | 56 | 0.56 |
| ESVI (mL/m2) | 15.9 | 4.6 | 7 | 25 | 13.9 | 5.0 | 4 | 24 | 0.066 |
Abbreviations are the same as in Table 3.
All values are based on QGS software
Fig. 3Gated SPECT parameters of EF, EDV and ESV at rest calculated with four software programs, namely QGS, ECTb, cardioREPO (cREPO) and HFV, in the JSNM normal databases. Mean values and range (mean ± 2SD in brackets) are written in bars. The figure is adapted from Table 1 in Ref. [50]
Fig. 4Comparison of phase parameters (phase bandwidth, phase SD, and phase entropy) at rest with four software programs using the JSNM normal databases. Mean values and range (mean ± 2SD in brackets) are written in bars. The figure is adapted from Table 2 in Ref. [50]
Normal HMR after standardization to ME-collimator condition (conversion coefficient = 0.88)
| Average | Range | |
|---|---|---|
| Early HMR | 3.1 | 2.2–4.0 |
| Late HMR | 3.3 | 2.2–4.4 |
| Washout rate (decay and background corrected) | 13 | 0–34 % |
Average conversion coefficients were 0.55 for LEHR collimator, 0.65 for LEGP collimator, 0.65 or 0.75 for extended LEGP collimator (depending on types), 0.83 for LMEGP collimator, 0.88 for MEGP collimator and 0.95 for ME low penetration collimator [19]
HMR heart-to-mediastinum ratio, WR washout rate
Fig. 5Average distribution of late123I-MIBG image on polar maps with Corridor 4DM and QPS software. Similar distributions in the mean and deviations are noted between two software programs. SD standard deviation