Evidence map›Paper›PMID 28263700›Full record

ArticleRadiology2017

Standard-, Reduced-, and No-Dose Thin-Section Radiologic Examinations: Comparison of Capability for Nodule Detection and Nodule Type Assessment in Patients Suspected of Having Pulmonary Nodules.

Yoshiharu Ohno, Hisanobu Koyama, Takeshi Yoshikawa, Yuji Kishida, Shinichiro Seki, Daisuke Takenaka, Masao Yui, Mitsue Miyazaki, Kazuro Sugimura

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. New developments in the imaging of lung cancer.Breathe (Sheffield, England) · 2024
    Review
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  20. Ex-vivo 1.5T MR Imaging versus CT in Estimating the Size of the Pathologically Invasive Component of Lung Adenocarcinoma Spectrum Lesions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yoshiharu OhnoFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Hisanobu KoyamaFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Takeshi YoshikawaFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Yuji KishidaFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Shinichiro SekiFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Daisuke TakenakaFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Masao YuiFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Mitsue MiyazakiFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).
Kazuro SugimuraFrom the Division of Functional and Diagnostic Imaging Research, Department of Radiology (Y.O., T.Y.), Advanced Biomedical Imaging Research Center (Y.O., T.Y.), and Division of Radiology, Department of Radiology (H.K., Y.K., S.S., K.S.), Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Hyogo, Japan; Department of Radiology, Hyogo Cancer Center, Akashi, Hyogo, Japan (D.T.); Toshiba Medical Systems, Otawara, Tochigi, Japan (M.Y.); and Toshiba Medical Research Institute USA, Vernon Hills, Il (M.M.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To compare the capability of pulmonary thin-section magnetic resonance (MR) imaging with ultrashort echo time (UTE) with that of standard- and reduced-dose thin-section computed tomography (CT) in nodule detection and evaluation of nodule type. Materials and Methods The institutional review board approved this study, and written informed consent was obtained from each patient. Standard- and reduced-dose chest CT (60 and 250 mA) and MR imaging with UTE were used to examine 52 patients; 29 were men (mean age, 66.4 years ± 7.3 [standard deviation]; age range, 48-79 years) and 23 were women (mean age, 64.8 years ± 10.1; age range, 42-83 years). Probability of nodule presence was assessed for all methods with a five-point visual scoring system. All nodules were then classified as missed, ground-glass, part-solid, or solid nodules. To compare nodule detection capability of the three methods, consensus for performances was rated by using jackknife free-response receiver operating characteristic analysis, and κ analysis was used to compare intermethod agreement for nodule type classification. Results There was no significant difference (F = 0.70, P = .59) in figure of merit between methods (standard-dose CT, 0.86; reduced-dose CT, 0.84; MR imaging with UTE, 0.86). There was no significant difference in sensitivity between methods (standard-dose CT vs reduced-dose CT, P = .50; standard-dose CT vs MR imaging with UTE, P = .50; reduced-dose CT vs MR imaging with UTE, P >.99). Intermethod agreement was excellent (standard-dose CT vs reduced-dose CT, κ = 0.98, P < .001; standard-dose CT vs MR imaging with UTE, κ = 0.98, P < .001; reduced-dose CT vs MR imaging with UTE, κ = 0.99, P < .001). Conclusion Pulmonary thin-section MR imaging with UTE was useful in nodule detection and evaluation of nodule type, and it is considered at least as efficacious as standard- or reduced-dose thin-section CT.

Indexed as

Radiation DosageAdultAgedAged, 80 and overFemaleHumansLung NeoplasmsMaleMiddle AgedMultiple Pulmonary NodulesProspective StudiesRadiographic Image Interpretation, Computer-AssistedRespiratory-Gated Imaging TechniquesTomography, X-Ray Computed

Identifiers

PMID28263700

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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.