ArticleJournal of medical ultrasonics (2001)2015
Quantitative sonographic image analysis for hepatic nodules: a pilot study.
Article in Journal of medical ultrasonics (2001), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Artificial Intelligence and Image Analysis-Assisted Diagnosis for Fibrosis Stage of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Ultrasonography: A Pilot Study.Diagnostics (Basel, Switzerland) · 2024Article
- Pediatric Corneal Structural Development During Childhood Characterized by Ultrasound Biomicroscopy.Journal of pediatric ophthalmology and strabismus · 2020Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to investigate the feasibility of quantitative image analysis to differentiate hepatic nodules on gray-scale sonographic images.
methodsWe retrospectively evaluated 35 nodules from 31 patients with hepatocellular carcinoma (HCC), 60 nodules from 58 patients with liver hemangioma, and 22 nodules from 22 patients with liver metastasis. Gray-scale sonographic images were evaluated with subjective judgment and image analysis using ImageJ software. Reviewers classified the shape of nodules as irregular or round, and the surface of nodules as rough or smooth.
resultsCircularity values were lower in the irregular group than in the round group (median 0.823, 0.892; range 0.641-0.915, 0.784-0.932, respectively; P = 3.21 × 10(-10)). Solidity values were lower in the rough group than in the smooth group (median 0.957, 0.968; range 0.894-0.986, 0.933-0.988, respectively; P = 1.53 × 10(-4)). The HCC group had higher circularity and solidity values than the hemangioma group. The HCC and liver metastasis groups had lower median, mean, modal, and minimum gray values than the hemangioma group. Multivariate analysis showed circularity [standardized odds ratio (OR), 2.077; 95 % confidential interval (CI) = 1.295-3.331; P = 0.002] and minimum gray value (OR 0.482; 95 % CI = 0.956-0.990; P = 0.001) as factors predictive of malignancy. The combination of subjective judgment and image analysis provided 58.3 % sensitivity and 89.5 % specificity with AUC = 0.739, representing an improvement over subjective judgment alone (68.4 % sensitivity, 75.0 % specificity, AUC = 0.701) (P = 0.008).
conclusionQuantitative image analysis for ultrasonic images of hepatic nodules may correlate with subjective judgment in predicting malignancy.
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