Literature DB >> 23492885

Value of semiquantitative analysis for clinical reporting of 123I-2-β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)nortropane SPECT studies.

Therese A Söderlund1, John C Dickson, Elizabeth Prvulovich, Simona Ben-Haim, Paul Kemp, Jan Booij, Flavio Nobili, Gerda Thomsen, Osama Sabri, Pierre-Malik Koulibaly, Ozgur U Akdemir, Marco Pagani, Koen van Laere, Susanne Asenbaum-Nan, Jean George, Terez Sera, Klaus Tatsch, Jamshed Bomanji.   

Abstract

UNLABELLED: Clinical (123)I-2-β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)nortropane ((123)I-FP-CIT) SPECT studies are commonly performed and reported using visual evaluation of tracer binding, an inherently subjective method. Increased objectivity can potentially be obtained using semiquantitative analysis. In this study, we assessed whether semiquantitative analysis of (123)I-FP-CIT tracer binding created more reproducible clinical reporting. A secondary aim was to determine in what form semiquantitative data should be provided to the reporter.
METHODS: Fifty-four patients referred for the assessment of nigrostriatal dopaminergic degeneration were scanned using SPECT/CT, followed by semiquantitative analysis calculating striatal binding ratios (SBRs) and caudate-to-putamen ratios (CPRs). Normal reference values were obtained using 131 healthy controls enrolled on a multicenter initiative backed by the European Association of Nuclear Medicine. A purely quantitative evaluation was first performed, with each striatum scored as normal or abnormal according to reference values. Three experienced nuclear medicine physicians then scored each striatum as normal or abnormal, also indicating cases perceived as difficult, using visual evaluation, visual evaluation in combination with SBR data, and visual evaluation in combination with SBR and CPR data. Intra- and interobserver agreement and agreement between observers and the purely quantitative evaluation were assessed using κ-statistics. The agreement between scan interpretation and clinical diagnosis was assessed for patients with a postscan clinical diagnosis available (n = 35).
RESULTS: The physicians showed consistent reporting, with a good intraobserver agreement obtained for the visual interpretation (mean κ ± SD, 0.95 ± 0.029). Although visual interpretation of tracer binding gave good interobserver agreement (0.80 ± 0.045), this was improved as SBRs (0.86 ± 0.070) and CPRs (0.95 ± 0.040) were provided. The number of striata perceived as difficult to interpret decreased as semiquantitative data were provided (30 for the visual interpretation; 0 as SBR and CPR values were given). The agreement between physicians' interpretations and the purely quantitative evaluation showed that readers used the semiquantitative data to different extents, with a more experienced reader relying less on the semiquantitative data. Good agreement between scan interpretation and clinical diagnosis was seen.
CONCLUSION: A combined approach of visual assessment and semiquantitative analysis of tracer binding created more reproducible clinical reporting of (123)I-FP-CIT SPECT studies. Physicians should have access to both SBR and CPR data to minimize interobserver variability.

Entities:  

Keywords:  123I-FP-CIT; dopamine transporter; observer variability; semiquantification

Mesh:

Substances:

Year:  2013        PMID: 23492885     DOI: 10.2967/jnumed.112.110106

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  25 in total

1.  The added value of combined visual and semi-quantitative assessment for 123I-FP-CIT SPECT and reply to Ueda et al.

Authors:  Nicolas Nicastro; Valentina Garibotto; Pierre R Burkhard
Journal:  Neurol Sci       Date:  2017-06-01       Impact factor: 3.307

2.  Visual versus automated analysis of [I-123]FP-CIT SPECT scans in parkinsonism.

Authors:  Elina Mäkinen; Juho Joutsa; Jarkko Johansson; Maija Mäki; Marko Seppänen; Valtteri Kaasinen
Journal:  J Neural Transm (Vienna)       Date:  2016-06-20       Impact factor: 3.575

3.  Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.

Authors:  Markus Wenzel; Fausto Milletari; Julia Krüger; Catharina Lange; Michael Schenk; Ivayla Apostolova; Susanne Klutmann; Marcus Ehrenburg; Ralph Buchert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-08-31       Impact factor: 9.236

4.  Influence of CT-based attenuation correction on dopamine transporter SPECT with [(123)I]FP-CIT.

Authors:  Constantin Lapa; Timo S Spehl; Joachim Brumberg; Ioannis U Isaias; Susanne Schlögl; Michael Lassmann; Ken Herrmann; Philipp T Meyer
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-02-15

5.  Robust, fully automatic delineation of the head contour by stereotactical normalization for attenuation correction according to Chang in dopamine transporter scintigraphy.

Authors:  Catharina Lange; Jens Kurth; Anita Seese; Sarah Schwarzenböck; Karen Steinhoff; Bert Umland-Seidler; Bernd J Krause; Winfried Brenner; Osama Sabri; Swen Hesse; Ralph Buchert
Journal:  Eur Radiol       Date:  2015-02-26       Impact factor: 5.315

6.  Striatal Dopaminergic Depletion Pattern Reflects Pathological Brain Perfusion Changes in Lewy Body Diseases.

Authors:  Yu Iwabuchi; Tohru Shiga; Masashi Kameyama; Raita Miyazawa; Morinobu Seki; Daisuke Ito; Hiroyuki Uchida; Hajime Tabuchi; Masahiro Jinzaki
Journal:  Mol Imaging Biol       Date:  2022-06-14       Impact factor: 3.488

7.  Semiquantitative Analysis of Dopamine Transporter Scans in Patients With Parkinson Disease.

Authors:  Sule Tinaz; Christopher Chow; Phillip H Kuo; Elizabeth A Krupinski; Hal Blumenfeld; Elan D Louis; George Zubal
Journal:  Clin Nucl Med       Date:  2018-01       Impact factor: 7.794

8.  Investigation of Axial and Angular Sampling in Multi-Detector Pinhole-SPECT Brain Imaging.

Authors:  Navid Zeraatkar; Kesava S Kalluri; Benjamin Auer; Arda Konik; Timothy J Fromme; Lars R Furenlid; Phillip H Kuo; Michael A King
Journal:  IEEE Trans Med Imaging       Date:  2020-11-30       Impact factor: 10.048

9.  Reduction in camera-specific variability in [(123)I]FP-CIT SPECT outcome measures by image reconstruction optimized for multisite settings: impact on age-dependence of the specific binding ratio in the ENC-DAT database of healthy controls.

Authors:  Ralph Buchert; Andreas Kluge; Livia Tossici-Bolt; John Dickson; Marcus Bronzel; Catharina Lange; Susanne Asenbaum; Jan Booij; L Özlem Atay Kapucu; Claus Svarer; Pierre-Malick Koulibaly; Flavio Nobili; Marco Pagani; Osama Sabri; Terez Sera; Klaus Tatsch; Thierry Vander Borght; Koen Van Laere; Andrea Varrone; Hidehiro Iida
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01-27       Impact factor: 9.236

10.  Analysis of the Effect of Dopamine Transporter Scan on the Diagnosis and Management in a Tertiary Neurology Center.

Authors:  Shakya Bhattacharjee; Vijayashankar Paramanandam; Atrayee Bhattacharya
Journal:  Neurohospitalist       Date:  2019-02-14
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