Evidence map›Paper›PMID 28639254›Full record

ArticleEJNMMI research2017

Use of a digital phantom developed by QIBA for harmonizing SUVs obtained from the state-of-the-art SPECT/CT systems: a multicenter study.

Tadaki Nakahara, Hiromitsu Daisaki, Yasushi Yamamoto, Takashi Iimori, Kazuyuki Miyagawa, Tomoya Okamoto, Yoshiki Owaki, Nobuhiro Yada, Koichi Sawada, Ryotaro Tokorodani and 1 more

Abstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. EANM practice guideline for quantitative SPECT-CT.European journal of nuclear medicine and molecular imaging · 2023
    Guideline
  3. Article
  4. Review
  5. Article
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  8. Hybrid imaging of neuroendocrine tumors in the heart: Union is strength.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  9. Article
  10. Optimization ofJournal of applied clinical medical physics · 2022
    Article
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  12. Article
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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

11 authors.

Tadaki NakaharaDepartment of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. nakahara@rad.med.keio.ac.jp.ORCID http://orcid.org/0000-0002-7382-0806
Hiromitsu DaisakiDepartment of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamioki-machi, Maebashi, Gunma, 371-0052, Japan.
Yasushi YamamotoDepartment of Radiology, Shimane University Hospital, 89-1 Enya-cho, Izumo, Shimane, 693-8501, Japan.
Takashi IimoriDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba, 260-8677, Japan.
Kazuyuki MiyagawaDepartment of Radiology, Kochi Medical Hospital, 2125-1 Ike, Kochi-shi, Kochi, 781-8555, Japan.
Tomoya OkamotoDepartment of Radiology, Tsugaru General Hospital, 12-3 Iwaki-machi, Goshogawara-shi, Aomori, 037-0074, Japan.
Yoshiki OwakiDepartment of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Nobuhiro YadaDepartment of Radiology, Shimane University Hospital, 89-1 Enya-cho, Izumo, Shimane, 693-8501, Japan.
Koichi SawadaDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba-shi, Chiba, 260-8677, Japan.
Ryotaro TokorodaniDepartment of Radiology, Kochi Medical Hospital, 2125-1 Ike, Kochi-shi, Kochi, 781-8555, Japan.
Masahiro JinzakiDepartment of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough quantitative analysis using standardized uptake value (SUV) becomes realistic in clinical single-photon emission computed tomography/computed tomography (SPECT/CT) imaging, reconstruction parameter settings can deliver different quantitative results among different SPECT/CT systems. This study aims to propose a use of the digital reference object (DRO), which is a National Electrical Manufacturers Association (NEMA) phantom-like object developed by the Quantitative Imaging Biomarker Alliance (QIBA) fluorodeoxyglucose-positron emission tomography technical committee, for the purpose of harmonizing SUVs in Tc-99m SPECT/CT imaging.

methodsThe NEMA body phantom with determined Tc-99m concentration was scanned with the four state-of-the-art SPECT/CT systems. SPECT data were reconstructed using different numbers of the product of subset and iteration numbers (SI) and the width of 3D Gaussian filter (3DGF). The mean (SUV

resultsRMSE was lowest in the following reconstruction conditions: SI of 100 and 3DGF of 13 mm for Brightview XCT, SI of 160 and 3DGF of 3 pixels for Discovery NM/CT, SI of 60 and 3DGF of 2 pixels for Infinia, and SI of 140 and 3DGF of 15 mm for Symbia. In pre-harmonized conditions, coefficient of variations (COVs) among the SPECT/CT systems were greater than 10% for all quantitative metrics in three of the spheres, SUV

conclusionsOur proposed method clearly reduced inter-scanner variability in SUVs. A digital phantom developed by QIBA would be useful for harmonizing SUVs in multicenter trials using SPECT/CT.

Indexed as

HarmonizationMulticenter studySPECT/CTSUV

Identifiers

PMID28639254
PMCPMC5479776

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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.