Evidence map›Paper›PMID 37796394›Full record

ArticleAnnals of nuclear medicine2023

Impact of irregular waveforms on data-driven respiratory gated PET/CT images processed using MotionFree algorithm.

Noriaki Miyaji, Kenta Miwa, Kosuke Yamashita, Kazuki Motegi, Kei Wagatsuma, Yuto Kamitaka, Tensho Yamao, Mitsutomi Ishiyama, Takashi Terauchi

Abstract read
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In one paragraph

Article in Annals of nuclear medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Straightforward PET phantom preparation usingAnnals of nuclear medicine · 2026
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  3. Physical and engineering sciences in medicine · 2025
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  4. Article
  5. Review
  6. The wings of progress: technological and radiopharmaceutical innovations in nuclear medicine.European journal of nuclear medicine and molecular imaging · 2024
    Article
  7. Review
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 5 institutions in 2 countries.

Noriaki MiyajiDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan. miyaji41@fmu.ac.jp.
Kenta MiwaDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan.
Kosuke YamashitaDepartment of Nuclear Medicine, Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Kazuki MotegiDepartment of Nuclear Medicine, Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Kei WagatsumaSchool of Allied Health Sciences, Kitasato University, 1-15-1 Kitazato, Minami-Ku Sagamihara, Kanagawa, 252-0373, Japan.
Yuto KamitakaResearch Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-Cho, Itabashi-Ku, Tokyo, 173-0015, Japan.
Tensho YamaoDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan.
Mitsutomi IshiyamaDepartment of Radiology, Virginia Mason Medical Center, 1100 9Th Ave, Seattle, Washington, 98101, USA.
Takashi TerauchiDepartment of Nuclear Medicine, Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Fukushima Medical University · JPJapanese Foundation For Cancer Research · JPKitasato University · JPTokyo Metropolitan Institute of Gerontology · JPVirginia Mason Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMotionFree® (AMF) is a data-driven respiratory gating (DDG) algorithm for image processing that has recently been introduced into clinical practice. The present study aimed to verify the accuracy of respiratory waveform and the effects of normal and irregular respiratory motions using AMF with the DDG algorithm.

methodsWe used a NEMA IEC body phantom comprising six spheres (37-, 28-, 22-, 17-, 13-, and 10 mm diameter) containing

resultsRespiratory waveforms derived from AMF were almost identical to the input waveforms on the motion platform. Although the RCs in each sphere for expiratory-paused and ideal stationary waveforms were almost identical, RCs except the expiratory-paused waveform were lower than those for the stationary waveform. The improvement rate decreased more for the irregular, than the normal waveforms with AMF in smaller spheres. The %change was improved by decreasing the width of waveforms with a shifted baseline. Activity concentrations significantly differed between normal waveforms and those with a shifted baseline in spheres < 28 mm.

conclusionsThe PET images using AMF with the DDG algorithm provided the precise waveform of respiratory motions and the improvement of quantitative accuracy in the four types of respiratory waveforms. The improvement rate was the most obvious in expiratory-paused waveforms, and the most subtle in those with a shifted baseline. Optimizing the width parameter in irregular waveform will benefit patients who breathe like the waveform with the shifted baseline.

Indexed as

Positron-Emission TomographyPositron Emission Tomography Computed TomographyAlgorithmsHumansImage Processing, Computer-AssistedMovementPhantoms, ImagingData-driven respiratory gating (DDG)Image blurringMotion Free® (AMF)PETRespiratory motion

Identifiers

PMID37796394
OpenAlexW4387357376

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.