Evidence map›Paper›PMID 42566116›Full record

ArticleRadiological physics and technology2026

Effect of 70-kVp chest CT on surface dose at the mammary gland level in a neonatal phantom under matched CTDIvol conditions.

Nanami Usui, Takanori Masuda, Norimi Nishiyama, Junichi Nakagawa, Mako Yamada, Nagito Kuwada, Hitoshi Takahata, Takashi Amano, Shinichi Arao

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Article in Radiological physics and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Nanami UsuiDepartment of Radiological Technologist, Okayama Saiseikai General Hospital, 2-25, Kokutai-cho, Kita-ku, Okayama-shi, Okayama, 700-8511, Japan.
Takanori MasudaDepartment of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki-city, Okayama, 701-0193, Japan. takanorimasuda@yahoo.co.jp.ORCID http://orcid.org/0000-0002-4164-4369
Norimi NishiyamaDepartment of Radiological Technologist, Okayama Saiseikai General Hospital, 2-25, Kokutai-cho, Kita-ku, Okayama-shi, Okayama, 700-8511, Japan.
Junichi NakagawaDepartment of Radiological Technologist, Okayama Saiseikai General Hospital, 2-25, Kokutai-cho, Kita-ku, Okayama-shi, Okayama, 700-8511, Japan.
Mako YamadaDepartment of Radiological Technology, Tsuyama Chuo Hospital, Okayama, Japan.
Nagito KuwadaDepartment of Radiological Technology, Fukuyama City Hospital, Hiroshima, Japan.
Hitoshi TakahataDepartment of Radiological Technology, National Cerebral and Cardiovascular Center Hospital, Osaka, Japan.
Takashi AmanoDepartment of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki-city, Okayama, 701-0193, Japan.
Shinichi AraoDepartment of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288 Matsushima, Kurashiki-city, Okayama, 701-0193, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare surface dose at the mammary gland level between 70- and 120-kVp non-contrast neonatal chest computed tomography (CT) under matched volume CT dose index (CTDIvol) conditions, a neonatal anthropomorphic phantom was scanned using a 256-row CT scanner. Real-time dosimeters were placed bilaterally on the anterior chest wall at the mammary gland level and on the posterior chest wall at the same axial level. For the 70-kVp protocol, the noise index was adjusted to match the console-displayed CTDIvol of the 120-kVp protocol. Each protocol was repeated 15 times, and image noise was measured on axial images. Anterior surface dose was significantly higher with 70 kVp than with 120 kVp (median [IQR], 5.67 [5.17-5.86] vs. 5.29 [4.84-5.43] mGy; p < 0.01). Posterior surface dose and image noise did not differ significantly. Under matched CTDIvol conditions, 70-kVp neonatal chest CT increased anterior mammary surface dose relative to 120-kVp CT in this phantom.

Indexed as

Mammary Glands, HumanPhantoms, ImagingRadiation DosageRadiography, ThoracicTomography, X-Ray ComputedHumansInfant, NewbornMammary glandNeonatal phantomPediatric CTSurface doseTube voltage

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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.