Evidence map›Paper›PMID 39404872›Full record

ArticleAbdominal radiology (New York)2025

Evaluation of colorectal liver metastases using virtual monoenergetic images obtained from dual-layer spectral computed tomography.

Jae Seok Bae, Jeong Hee Yoon, Jae Hyun Kim, Seungchul Han, Sungeun Park, Se Woo Kim

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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Analysis of colorectal liver metastases in photon-counting detector CT - optimizing imaging through spectral reconstruction.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jae Seok BaeDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
Jeong Hee YoonDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea. cinamon1@snu.ac.kr.
Jae Hyun KimDepartment of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seungchul HanDepartment of Radiology, Samsung Medical Center, Seoul, Republic of Korea.
Sungeun ParkDepartment of Radiology, Konkuk University Medical Center, Seoul, Republic of Korea.
Se Woo KimDepartment of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the potential of virtual monoenergetic images in assessing colorectal liver metastasis (CRLM) compared with conventional CT images.

methodsThis single-center, retrospective study included 173 consecutive patients (mean age, 65.5 ± 10.6 years; 106 men) who underwent dual-layer spectral CT (DLSCT) between November 2016 and April 2021. Portal venous phase images were reconstructed using hybrid iterative reconstruction (iDose) and virtual monoenergetic imaging at 50 keV. Four radiologists independently and randomly reviewed the de-identified iDose and 50 keV images. Lesion detection, CRLM conspicuity, and CRLM diagnosis were compared between these images using a generalized estimating equation analysis. The reference standards used were histopathology and follow-up imaging findings.

resultsThe study included 797 focal liver lesions, including 463 CRLMs (median size, 18.1 mm [interquartile range, 10.9-37.7 mm]). Lesion detection was better with 50 keV images than with iDose images (45.0% [95% confidence interval [CI]: 39-50] vs 40.0% [95% CI: 34-46], P = 0.003). CRLM conspicuity was higher in the 50 keV images than in the iDose images (3.27 [95% CI: 3.09-3.46] vs 3.09 [95% CI: 2.90-3.28], P < 0.001). However, the specificity for diagnosing CRLM was lower with 50 keV images than with iDose images (94.5% [95% CI: 91.6-96.4] vs 96.0% [95% CI: 93.2-98.1], P = 0.022), whereas sensitivity did not differ significantly (77.6% [95% CI: 70.3-83.5] vs 76.9% [95% CI: 70.0-82.7], P = 0.736). Indeterminate lesions were more frequently noted in 50 keV images than in iDose images (13% [445/3188] vs 9% [313/3188], P = 0.005), and 56% (247/445) of the indeterminate lesions at 50 keV were not CRLMs.

conclusionThe 50 keV images obtained from DLSCT were better than the iDose images in terms of CRLM conspicuity and lesion detection. However, 50 keV images did not improve CRLM diagnosis but slightly increased the reporting of indeterminate focal liver lesions associated with CRLMs.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityColorectal liver metastasisDual-layer spectral computed tomographyVirtual monoenergetic imaging

Identifiers

PMID39404872
PMCPMC11946942

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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 Socratic graph.