Evidence map›Paper›PMID 40273222›Full record

ArticlePloS one2025

Correction of stomach cancer CT attenuation values for variations due to differences in CT imaging conditions through repeated CT scans.

Jeong Min Seo, Sun Young Baek, Woo Kyoung Jeong, Kyoung Doo Song

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

4 authors.

Jeong Min SeoDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea.
Sun Young BaekDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea.
Woo Kyoung JeongDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea.
Kyoung Doo SongDepartment of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea.ORCID 0000-0002-2767-3622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop methods for correcting variations in CT attenuation values of advanced gastric cancer (AGC) due to differences in CT imaging conditions using repeated pre-treatment CT scans.

methodsA total 211 patients (146 men) with AGC who underwent pre-treatment CT twice were included in this retrospective study. The Pearson correlation between the difference in tumor attenuation values measured on both CT scans and the difference in attenuation values of other organs was analyzed. A formula to correct tumor CT attenuation values was developed using univariate linear regression analysis.

resultsThe Pearson correlation coefficient was the highest between the difference in tumor attenuation values and that of the main portal vein (MPV) attenuation values (0.86, P <.01). The formula to correct tumor attenuation values was as follows: calculated tumor attenuation value on CT scan 2 = tumor attenuation value on CT scan 1 - (-3.5 + 0.4 x (MPV attenuation value on CT scan 1 - MPV attenuation value on CT scan 2)). The mean difference between calculated and actual tumor attenuation values was 1.6 HU (SD, 8.7; range -22.5-24.72), with a Pearson correlation coefficient of 0.95 (P <.01).

conclusionUtilizing the attenuation value of the MPV allows for correction of variations in tumor attenuation values caused by different CT imaging conditions, enabling the prediction of reproducible tumor attenuation in patients with AGC. Future studies are needed to validate these findings and address the study's limitations, including its retrospective design and the absence of unenhanced CT data. ADVANCES IN KNOWLEDGE: The attenuation value of the MPV can be used to predict reproducible tumor attenuation values in gastric cancer.

Indexed as

Stomach NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID40273222
PMCPMC12021269

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