ArticleEJNMMI research2017
The impact of reconstruction and scanner characterisation on the diagnostic capability of a normal database for [
Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EANM practice guideline/SNMMI procedure standard for dopaminergic imaging in Parkinsonian syndromes 1.0.European journal of nuclear medicine and molecular imaging · 2020Guideline
- Performance of CT-guided spatial normalization for semi-quantification of dopamine transporter SPECT and detection of nigrostriatal degeneration.Annals of nuclear medicine · 2026Article
- Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions.Computational and structural biotechnology journal · 2026Review
- Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.Annals of nuclear medicine · 2025Article
- No impact of attenuation and scatter correction on the interpretation of dopamine transporter SPECT in patients with clinically uncertain parkinsonian syndrome.European journal of nuclear medicine and molecular imaging · 2023Article
- Impact of the size of the normal database on the performance of the specific binding ratio in dopamine transporter SPECT.EJNMMI physics · 2020Article
- Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.European journal of nuclear medicine and molecular imaging · 2019Article
- Diagnostic performance of the specific uptake size index for semi-quantitative analysis of I-123-FP-CIT SPECT: harmonized multi-center research setting versus typical clinical single-camera setting.EJNMMI research · 2019Article
- Impact of quantitative index derived from 123I-FP-CIT-SPECT on reconstruction with correction methods evaluated using a 3D-striatum digital brain phantom.Radiological physics and technology · 2018Article
- Japanese multicenter database of healthy controls for [European journal of nuclear medicine and molecular imaging · 2018Article
- A new visual rating scale for Ioflupane imaging in Lewy body disease.NeuroImage. Clinical · 2018Article
- Validation of Optimum ROI Size forAsia Oceania journal of nuclear medicine & biology · 2018Article
- [EJNMMI physics · 2017Article
- Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification?EJNMMI physics · 2017Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of a normal database for [
resultsThere were no significant differences in the age-independent quantitative assessment of scan normality across reconstructions, system characterisation and quantitative methods (ROC AUC 0.866-0.924). With BRASS quantification, there were no significant differences between the values of sensitivity (67.4-83.7%) or specificity (79.4-91.2%) across all reconstruction and calibration strategies. However, the Southampton method showed significant differences in sensitivity between ACSC (90.7%) vs IRNC (76.7%) and FBP (67.4%) reconstructions with calibration. Sensitivity using ACSC reconstruction with this method was also significantly better with calibration than without calibration (65.1%). Specificity using the Southampton method was unchanged across reconstruction and calibration choices (82.4-88.2%).
conclusionsThe ability of a normal [
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