Evidence map›Paper›PMID 39158826›Full record

ArticleAnnals of nuclear medicine2024

Quantitative evaluation of striatal uptake ratios using an adaptive template registration method for

Sunao Mizumura, Naoyuki Tamamura, Junya Ebina, Hikaru Watanabe, Masaaki Hori

Abstract read
In one paragraph

Article in Annals of nuclear medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Sunao MizumuraDepartment of Radiology, Toho University Omori Medical Center, 1‑1‑5, Omori‑nishi, Ota‑ku, Tokyo, 143‑8541, Japan. sunaom@med.toho-u.ac.jp.
Naoyuki TamamuraNihon Medi-Physics Co., Ltd., 3‑4‑10, Shinsuna, Koto‑ku, Tokyo, 136‑0075, Japan.
Junya EbinaDepartment of Neurology, Toho University Omori Medical Center, 1-1-5 Omori‑nishi, Ota‑ku, Tokyo, Japan.
Hikaru WatanabeDepartment of Radiology, Toho University Omori Medical Center, 1‑1‑5, Omori‑nishi, Ota‑ku, Tokyo, 143‑8541, Japan.
Masaaki HoriDepartment of Radiology, Toho University Omori Medical Center, 1‑1‑5, Omori‑nishi, Ota‑ku, Tokyo, 143‑8541, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction

methodsThe average images of eight subjects, demonstrating normal-type and egg-shape-type tracer accumulation in

resultsResults showed significant and robust linearity in the striatal accumulation ratios for all templates when compared with the occipital lobe accumulation ratio when using the MRI-based method. Comparing intra-class correlations for different linearities, the ATR method and split-ATR method demonstrated higher linearity in the striatum, caudate, and putamen. The split-ATR method showed similar improvements, although more linearity than some of the ATR methods; the effectiveness of the Split-ATR method may vary by image quality, and further validation of its effectiveness in diverse asymmetric accumulation cases seemed warranted.

conclusionThe use of optimized templates, such as the ATR and split-ATR methods, improved reproducibility in fully automated processing and demonstrated superior linearity compared to that of MRI-based method, in the ratio to the occipital lobe. The ATR method, which enables morphological standardization when using SPECT images only, proved highly reproducible for clinical quantitative analysis of striatal accumulation, facilitating its clinical use.

Indexed as

Dopamine Plasma Membrane Transport ProteinsImage Processing, Computer-AssistedNortropanesTomography, Emission-Computed, Single-PhotonAdultAgedBiological TransportCorpus StriatumFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeostriatumParkinson DiseaseReference StandardsDopamine Plasma Membrane Transport ProteinsioflupaneNortropanes123I-IoflupaneAdapt template registration methodMorphological normalizationStriatal uptake ratio

Identifiers

PMID39158826
PMCPMC11538170

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Registered trials

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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.