ArticleAbdominal radiology (New York)2020
CT-based liver surface nodularity for the detection of clinically significant portal hypertension: defining measurement quality criteria.
Article in Abdominal radiology (New York), 2020. 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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Who cites it
7 citing papers in PubMed.
- Adding Estimates of Central Venous Pressure Boosts the Performance of Non-Invasive Assessment of the Portosystemic Gradient Prior to TIPS Implantation.Diagnostics (Basel, Switzerland) · 2026Article
- Preliminary quantitative assessment of liver and spleen MR imaging and elastography in clinically significant portal hypertension.Scientific reports · 2026Article
- Noninvasive diagnosis of liver cirrhosis: qualitative and quantitative imaging biomarkers.Abdominal radiology (New York) · 2024Review
- Contrast-enhanced CT and liver surface nodularity for the diagnosis of porto-sinusoidal vascular disorder: A case-control study.Hepatology (Baltimore, Md.) · 2022Article
- Liver surface nodularity on non-contrast MRI identifies advanced fibrosis in patients with NAFLD.European radiology · 2022Article
- Liver surface nodularity: a novel predictor of post-hepatectomy liver failure in patients with colorectal liver metastases following chemotherapy.European radiology · 2021Article
- Quantification of Pancreas Surface Lobularity on CT: A Feasibility Study in the Normal Pancreas.Korean journal of radiology · 2021Article
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6 authors.
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Abstract
purposeTo establish measurement quality criteria for the noninvasive assessment of clinically significant portal hypertension (CSPH) in patients with cirrhosis using CT-based liver surface nodularity (LSN) measurements.
methodsSeventy-four consecutive patients with cirrhosis (mean 62 ± 13 years), including 30 with CSPH (41%), underwent CT and hepatic venous pressure gradient measurements. Three independent readers performed 15 LSN measurements/patient using dedicated software. LSN was computed based on the median and means of one to 15 measurements. Accuracy for diagnosing CSPH was assessed using receiver operating characteristic (ROC) curve analysis. Variability was assessed by the intra-class correlation coefficient (ICC) and the Bland-Altman plot (BA). Quality criteria were identified to maximize the accuracy of LSN and minimize variability.
resultsThe area under the (AU) ROCs of mean and median LSN measurements based on one to 15 measurements ranged from 0.79 ± 0.05 to 0.91 ± 0.04 and 0.86 ± 0.04 to 0.91 ± 0.03, respectively, with no difference on pair-wise comparisons (all p > 0.05). AUROCs of LSN increased from one to eight and leveled off between eight and 15 measurements. Inter- and intra-reader variability decreased from one to 15 measurements, with only slight improvement after more than eight measurements. Intra- and inter-observer agreements were excellent with eight measurements (ICC = 0.90 [95%CI 0.84-0.94], and ICC = 0.93 [95%CI 0.89-0.95], respectively), and variability for intra-observer and inter-observer agreement was low (BA bias 4.2% (95% limits of agreement [LoA] [- 15.3; + 23.7%]) and 4.8% LoA [ - 17.5; + 27.1%], respectively).
conclusionsCT-based LSN measurement is highly reproducible and accurate. We suggest using at least 8 valid measurements to determine the mean LSN value for the detection of CSPH.
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