Evidence map›Paper›PMID 40853470›Full record

ArticleAbdominal radiology (New York)2026

Optimal trigger threshold with the bolus-tracking technique for the renal CT angiography protocol.

Masashi Asano, Yoshifumi Noda, Nobuyuki Kawai, Tetsuro Kaga, Shingo Omata, Yukiko Takai, Akio Ito, Takeshi Iwata, Toshiharu Miyoshi, Abdelazim Elsayed Elhelaly and 3 more

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

13 authors.

Masashi AsanoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Yoshifumi NodaDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. noda.yoshifumi.g9@f.gifu-u.ac.jp.
Nobuyuki KawaiDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Tetsuro KagaDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Shingo OmataDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Yukiko TakaiDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Akio ItoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Takeshi IwataDepartment of Radiology Services, Gifu University Hospital, Gifu, Japan.
Toshiharu MiyoshiDepartment of Radiology Services, Gifu University Hospital, Gifu, Japan.
Abdelazim Elsayed ElhelalyDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Hirohiko ImaiDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Hiroki KatoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Masayuki MatsuoDepartment of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the optimal trigger threshold for the renal CT angiography (CTA) protocol with the bolus-tracking technique.

methodsThis retrospective study included patients suspected of having renal diseases and candidate kidney transplant donors who underwent renal CTA from July 2019 to August 2021. Renal arterial (RA) phase scanning was initiated using either one of the following two trigger thresholds: 50 HU (50-HU group; n = 42) and 100 HU (100-HU group; n = 63). A radiologist measured CT attenuations of the vasculature and renal parenchyma on RA phase images. Two radiologists classified RA phase images into appropriate RA-, late RA-, or corticomedullary (CM)-timing. Unpaired t- and Fisher's exact tests were conducted to assess differences in the CT attenuations and the proportion of categorical classifications between the two groups.

resultsOverall, 105 patients (mean age: 59.8 years; 60 men) were included. CT attenuations of the aorta and renal arteries were comparable between the two groups (P = 0.38-0.95). CT attenuations of the renal cortex and renal vein were higher in the 100-HU group than in the 50-HU group (P = 0.006-0.04). The proportion of the appropriate RA-timing was higher, whereas that of the CM-timing was lower in the 50-HU group than in the 100-HU group (appropriate RA-, late RA-, and CM-timing: 78.6% vs. 50.8%, 19.0% vs. 34.9%, and 2.4% vs. 14.3%; P = 0.01 for reviewer 1 and 64.3% vs. 27.0%, 33.3% vs. 63.5%, and 2.4% vs. 9.5%; P < 0.001 for reviewer 2, respectively).

conclusionThe trigger threshold of 50 HU provided a higher probability of obtaining appropriate RA-timing images than that of 100 HU in the renal CTA protocol with the bolus-tracking technique.

Indexed as

Computed Tomography AngiographyKidney DiseasesRenal ArteryAdultAgedContrast MediaFemaleHumansKidneyKidney TransplantationMaleMiddle AgedRetrospective StudiesContrast MediaBolus-trackingImage timing optimizationRenal CT angiographyTrigger threshold

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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.