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ArticleAbdominal radiology (New York)2026

Multi-institutional study for comparison of detectability of hypovascular liver metastases between 70- and 40-keV images: DELMIO study.

Shintaro Ichikawa, Satoshi Funayama, Tomoko Hyodo, Kumi Ozaki, Akio Ito, Masatoshi Kakuya, Tatsunori Kobayashi, Yukichi Tanahashi, Kazuto Kozaka, Saya Igarashi and 7 more

Abstract readMulticenter StudyComparative Study
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In one paragraph

Article in Abdominal radiology (New York), 2026. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Shintaro IchikawaHamamatsu University School of Medicine, Hamamatsu, Japan.
Satoshi FunayamaHamamatsu University School of Medicine, Hamamatsu, Japan.
Tomoko HyodoKindai University Faculty of Medicine, Osakasayama, Japan.
Kumi OzakiHamamatsu University School of Medicine, Hamamatsu, Japan.
Akio ItoGifu University, Gifu, Japan.
Masatoshi KakuyaHamamatsu University School of Medicine, Hamamatsu, Japan.
Tatsunori KobayashiHamamatsu University School of Medicine, Hamamatsu, Japan.
Yukichi TanahashiHamamatsu University School of Medicine, Hamamatsu, Japan.
Kazuto KozakaKanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Saya IgarashiKanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
Taketo SutoGifu University, Gifu, Japan.
Yoshifumi NodaGifu University, Gifu, Japan.
Masayuki MatsuoGifu University, Gifu, Japan.
Akiko NaritaAichi Medical University, Nagakute, Japan.
Hiroaki OkadaAichi Medical University, Nagakute, Japan.
Kojiro SuzukiAichi Medical University, Nagakute, Japan.
Satoshi GoshimaHamamatsu University School of Medicine, Hamamatsu, Japan. goshima@hama-med.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the lesion detectability of hypovascular liver metastases between 70-keV and 40-keV images from dual energy-computed tomography (CT) reconstructed with deep-learning image reconstruction (DLIR).

methodsThis multi-institutional, retrospective study included adult patients both pre- and post-treatment for gastrointestinal adenocarcinoma. All patients underwent contrast-enhanced CT with reconstruction at 40-keV and 70-keV. Liver metastases were confirmed using gadoxetic acid-enhanced magnetic resonance imaging. Four radiologists independently assessed lesion conspicuity (per-patient and per-lesion) using a 5-point scale. A radiologic technologist measured image noise, tumor-to-liver contrast, and contrast-to-noise ratio (CNR). Quantitative and qualitative results were compared between 70-keV and 40-keV images.

resultsThe study included 138 patients (mean age, 69 ± 12 years; 80 men) with 208 liver metastases. Seventy-one patients had liver metastases, while 67 did not. Primary cancer sites included 68 cases of pancreas, 50 colorectal, 12 stomach, and 8 gallbladder/bile duct. No significant difference in per-patient lesion detectability was found between 70-keV images (sensitivity, 71.8-90.1%; specificity, 61.2-85.1%; accuracy, 73.9-79.7%) and 40-keV images (sensitivity, 76.1-90.1%; specificity, 53.7-82.1%; accuracy, 71.7-79.0%) (p = 0.18-> 0.99). Similarly, no significant difference in per-lesion lesion detectability was observed between 70-keV (sensitivity, 67.3-82.2%) and 40-keV images (sensitivity, 68.8-81.7%) (p = 0.20-> 0.99). However, Image noise was significantly higher at 40 keV, along with greater tumor-to-liver contrast and CNRs for both hepatic parenchyma and tumors (p < 0.01).

conclusionThere was no significant difference in hypovascular liver metastases detectability between 70-keV and 40-keV images using the DLIR technology.

Indexed as

AdenocarcinomaLiver NeoplasmsRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAgedAged, 80 and overContrast MediaFemaleGadolinium DTPAGastrointestinal NeoplasmsHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPADual energy computed tomographyGastrointestinal adenocarcinomaLiverMetastasisVirtual monoenergetic image

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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.