Evidence map›Paper›PMID 33630226›Full record

ArticleAnnals of nuclear medicine2021

A new quantitative index in the diagnosis of Parkinson syndrome by dopamine transporter single-photon emission computed tomography.

Ryota Bando, Hideki Otsuka, Tamaki Otani, Noritake Matsuda, Shota Azane, Yamato Kunikane, Yoichi Otomi, Wataru Sako, Yuishin Izumi, Masafumi Harada

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Article in Annals of nuclear medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Quantitative evaluation ofScientific reports · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Ryota BandoDepartment of Radiology, Tokushima University Hospital, Kuramoto-cho 3-18-15, Tokushima, 770-8503, Japan.
Hideki OtsukaDepartment of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan. hideki.otsuka@tokushima-u.ac.jp.ORCID http://orcid.org/0000-0001-7165-6099
Tamaki OtaniAdvance Radiation Research, Education and Management Center, Tokushima University, Tokushima, Japan.
Noritake MatsudaDepartment of Radiology, Tokushima University Hospital, Kuramoto-cho 3-18-15, Tokushima, 770-8503, Japan.
Shota AzaneDepartment of Radiology, Tokushima University Hospital, Kuramoto-cho 3-18-15, Tokushima, 770-8503, Japan.
Yamato KunikaneDepartment of Radiology, Tokushima University Hospital, Kuramoto-cho 3-18-15, Tokushima, 770-8503, Japan.
Yoichi OtomiDepartment of Radiology and Radiation Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Wataru SakoDepartment of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Yuishin IzumiDepartment of Neurology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Masafumi HaradaDepartment of Radiology and Radiation Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Tokushima University · JPTokushima University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDopamine transporter single-photon emission computed tomography (DAT SPECT) has been widely used to diagnose Parkinson syndrome. Using the standardized uptake value (SUV) of DAT SPECT, we propose "functional dopamine transporter volume (f-DTV)" as a new quantitative index to evaluate the three-dimensional volume of functional dopamine transporters and assess its diagnostic ability in differentiating dopaminergic neurodegenerative diseases (dNDD) from non-dNDD.

methodsSeventy-nine patients were enrolled (42 dNDD, 37 non-dNDD; 38 men; age 24-88 years). We analyzed seven quantitative indices. The specific binding ratio (SBR) was calculated using a program specialized for DAT SPECT (SBR_Bolt). The SUVmax, SUVpeak, and SUVmean were calculated using a quantification program for bone SPECT. SBR_SUV was calculated by dividing striatal SUVmean by the average of background SUVmean. The cutoff value of the active dopamine transporter level was examined using three methods (threshold of 40% of SUVmax, SUV 2, and SUV 3) to calculate the active dopamine transporter volume (ADV). The f-DTV was calculated by multiplying ADV and SUV

resultsThe SBR_Bolt and SBR_SUV highly correlated with each other (r = 0.71). The cutoff value of the active dopamine transporter level was determined as SUV 3. All seven quantitative indices showed lower values in the dNDD group than in the non-dNDD group, and the difference between the two groups was statistically significant (p < 0.05). Sensitivity, specificity, and AUC of f-DTV were slightly lower than those of SBR_Bolt (71%, 79%, and 0.81, respectively, for f-DTV, and 81%, 84%, 0.88, respectively, for SBR_Bolt). The difference in AUC between f-DTV and SBR_Bolt was not statistically significant.

conclusionsThis study demonstrates the utility of f-DTV as a novel quantitative index for evaluating the three-dimensional volume of functional dopamine transporters, and that f-DTV has almost the same diagnostic ability to differentiate dNDD from non-dNDD using DAT SPECT.

Indexed as

AdultAgedAged, 80 and overBiological TransportDiagnosis, DifferentialDopamine Plasma Membrane Transport ProteinsFemaleHumansIodine RadioisotopesMaleMiddle AgedNortropanesParkinson DiseasePhantoms, ImagingRetrospective StudiesROC CurveDopamine Plasma Membrane Transport ProteinsIodine-123Iodine RadioisotopesioflupaneNortropanesActive dopamine transporter volumeDopamine transporter SPECTFunctional dopamine transporter volumeParkinson syndromeSUV

Identifiers

PMID33630226
OpenAlexW3132959966

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.