Literature DB >> 30779660

Imaging Characteristics of Liver Metastases Overlooked at Contrast-Enhanced CT.

Hirotsugu Nakai1, Shigeki Arizono1, Hiroyoshi Isoda1,2, Kaori Togashi1.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the imaging characteristics of liver metastases overlooked at contrast-enhanced CT.
MATERIALS AND METHODS: The records of 746 patients with a diagnosis of liver metastases from colorectal, breast, gastric, or lung cancer between November 2010 and September 2017 were reviewed. Images were reviewed when liver metastases were first diagnosed, and images from prior contrast-enhanced CT examinations were checked if available. These lesions were classified into two groups: missed lesions (those missed on the prior images) and detected lesions (those correctly identified and invisible on the prior images or there were no prior images). Tumor size, contrast-to-noise ratio, location, presence of coexisting liver cysts and hepatic steatosis, and indications for examination were compared between the groups. The t test and Fisher exact test were used to analyze the imaging characteristics of previously overlooked lesions.
RESULTS: The final analysis included 137 lesions, of which 68 were classified as missed. In univariate analysis, contrast-to-noise ratio was significantly lower in missed lesions (95% CI, 2.65 ± 0.24 vs 3.90 ± 0.23; p < 0.001). The proportion of subcapsular lesions (odds ratio, 3.44; p < 0.001), hepatic steatosis (odds ratio, 6.35; p = 0.007), and examination indication other than survey of malignant tumors (odds ratio, 9.07; p = 0.02) were significantly higher for missed lesions.
CONCLUSION: Liver metastases without sufficient contrast enhancement, those in patients with hepatic steatosis, those in subcapsular locations, and those found at examinations for indications other than to assess for tumors were significantly more likely to be overlooked.

Entities:  

Keywords:  contrast-enhanced CT; liver metastases; overlooked; perceptual error

Year:  2019        PMID: 30779660     DOI: 10.2214/AJR.18.20526

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

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Journal:  J Med Imaging (Bellingham)       Date:  2022-09-13

2.  Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

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3.  CT Imaging Characteristics and Influence Factors of Renal Dialysis-Associated Peritoneal Injury.

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5.  Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases.

Authors:  Mingyang Li; Xueyan Li; Yu Guo; Zheng Miao; Xiaoming Liu; Shuxu Guo; Huimao Zhang
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6.  Value of 18F-FDG PET/CT in patients with hepatic metastatic carcinoma of unknown primary.

Authors:  Yuekai Li; Fengcai Li; Xin Li; Lili Qu; Jiankui Han
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7.  Clinical characteristics and CT features of hepatic epithelioid haemangioendothelioma and comparison with those of liver metastases.

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Review 8.  Imaging evaluation of the liver in oncology patients: A comparison of techniques.

Authors:  Patrícia S Freitas; Catarina Janicas; José Veiga; António P Matos; Vasco Herédia; Miguel Ramalho
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9.  Liver Enhancement on Computed Tomography Is Suboptimal in Patients with Liver Steatosis.

Authors:  Véronique V van Cooten; Daan J de Jong; Frank J Wessels; Pim A de Jong; Madeleine Kok
Journal:  J Pers Med       Date:  2021-11-25
  9 in total

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