Evidence map›Paper›PMID 27544223›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT.

Kota Yokoyama, Etsuko Imabayashi, Kaoru Sumida, Daichi Sone, Yukio Kimura, Noriko Sato, Youhei Mukai, Miho Murata, Hiroshi Matsuda

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Quantitative Research ofFrontiers in neuroscience · 2019
    Article
  12. Semi-quantitative dopamine transporter standardized uptake value in comparison with conventional specific binding ratio in [123I] FP-CIT single-photon emission computed tomography (DaTscan).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2018
    Article
  13. Japanese multicenter database of healthy controls for [European journal of nuclear medicine and molecular imaging · 2018
    Article
  14. InterpretingEuropean journal of hybrid imaging · 2018
    Article
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

9 authors at 1 institution in 1 country.

Kota YokoyamaDepartment of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Etsuko ImabayashiIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Kaoru SumidaDepartment of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Daichi SoneDepartment of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Yukio KimuraDepartment of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Noriko SatoDepartment of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.
Youhei MukaiDepartment of Neurology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Miho MurataDepartment of Neurology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hiroshi MatsudaIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan. matsudah@ncnp.go.jp.
National Center of Neurology and Psychiatry · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFor the quantitative assessment of dopamine transporter (DAT) using [

methodsWe retrospectively analyzed DaTscan images of 130 patients with parkinsonian syndromes (PS), including 80 PD and 50 non-PD patients. First we segmented gray matter from CT images using statistical parametric mapping 12 (SPM12). These gray-matter images were then anatomically standardized using the diffeomorphic anatomical registration using exponentiated Lie algebra (DARTEL) algorithm. Next, DaTscan images were warped with the same parameters used in the CT anatomic standardization. The target striatal VOIs for decreased DAT in PD were generated from the SPM12 group comparison of 20 DaTscan images from each group. We applied these VOIs to DaTscan images of the remaining patients in both groups and calculated the specific binding ratios (SBRs) using nonspecific counts in a reference area. In terms of the differential diagnosis of PD and non-PD groups using SBR, we compared the present method with two other methods, DaTQUANT and DaTView, which have already been released as software programs for the quantitative assessment of DaTscan images.

resultsThe SPM12 group comparison showed a significant DAT decrease in PD patients in the bilateral whole striatum. Of the three methods assessed, the present CT-guided method showed the greatest power for discriminating PD and non-PD groups, as it completely separated the two groups.

conclusionCT-guided anatomic standardization using the DARTEL algorithm is promising for the quantitative assessment of DaTscan images.

Indexed as

RadiopharmaceuticalsTropanesAgedAged, 80 and overAlgorithmsCase-Control StudiesCorpus StriatumDopamine Plasma Membrane Transport ProteinsFemaleHumansMaleMiddle AgedParkinson DiseaseReference StandardsSingle Photon Emission Computed Tomography Computed Tomography2-carbomethoxy-8-(3-fluoropropyl)-3-(4-iodophenyl)tropaneDopamine Plasma Membrane Transport ProteinsRadiopharmaceuticalsTropanes[123I]FP-CIT SPECTDopamine transportersParkinson’s diseaseQuantificationSPECT/CTStatistical parametric mapping

Identifiers

PMID27544223
OpenAlexW2514972237

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.