Performance of Ultrasonography-Based Fractal Parameters in Distinguishing Hepatocellular Carcinoma From Intrahepatic Cholangiocarcinoma

To evaluate the ability of fractal parameters based on ultrasonography to distinguish between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) in patients. This retrospective study was performed to assess the performance of certain ultrasound-based parameters, including fractal dimension (FD), lacunarity (LAC), and FD combined with LAC (FL), in distinguishing HCC from ICC with liver biopsy as the gold standard, information was obtained from 204 eligible patients. Receiver operating characteristic (ROC) curve analysis was conducted, to assess the performance of these parameters in distinguishing between HCC and ICC in patients with or without CLD. The following parameters were significantly different between with and without CLD: the levels of alpha-fetoprotein, abnormal prothrombin, alanine aminotransferase, aspartic acid, total bilirubin and indirect bilirubin (<i>p</i> < .05). The AUC of FL in differentiating HCC from ICC was 0.983 and 0.854 in patients without or with CLD, which were significantly better than that of FD (non-CLD, 0.902 AUC; CLD, 0.647 AUC, <i>p</i> < .05) and LAC (non-CLD, 0.895 AUC; CLD, 0.843 AUC, <i>p</i> < .05). FL can better distinguish between HCC and ICC in patients with or without CLD than FD and LAC. FL may serve as a promising preoperative alternative for distinguishing between the two diseases.Clinical trials:Brief title: Exploration of noninvasive differential diagnosis of benign and malignant liver tumors.URL: https://register.clinicaltrials.govClinicalTrials.gov ID: NCT06524557.

Authors

Institutions

Publication Details

Journal
Ultrasonic Imaging
Published
2025-04-15
DOI
https://doi.org/10.1177/01617346251330257
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of Ultrasonography-Based Fractal Parameters in Distinguishing Hepatocellular Carcinoma From Intrahepatic Cholangiocarcinoma

Weijie Jiao, Lin Sang, Lina Liu, Jun Zhang et al.
Ultrasonic Imaging
Cholangiocarcinoma and Gallbladder Cancer Studies
article

Performance of Ultrasonography-Based Fractal Parameters in Distinguishing Hepatocellular Carcinoma From Intrahepatic Cholangiocarcinoma

Weijie Jiao, Lin Sang, Lina Liu, Jun Zhang, Xue Gong, Ming Yu, Junci Wei, Huihui Zhou, Yuanyuan Sun
article en

Abstract

To evaluate the ability of fractal parameters based on ultrasonography to distinguish between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) in patients. This retrospective study was performed to assess the performance of certain ultrasound-based parameters, including fractal dimension (FD), lacunarity (LAC), and FD combined with LAC (FL), in distinguishing HCC from ICC with liver biopsy as the gold standard, information was obtained from 204 eligible patients. Receiver operating characteristic (ROC) curve analysis was conducted, to assess the performance of these parameters in distinguishing between HCC and ICC in patients with or without CLD. The following parameters were significantly different between with and without CLD: the levels of alpha-fetoprotein, abnormal prothrombin, alanine aminotransferase, aspartic acid, total bilirubin and indirect bilirubin (<i>p</i> < .05). The AUC of FL in differentiating HCC from ICC was 0.983 and 0.854 in patients without or with CLD, which were significantly better than that of FD (non-CLD, 0.902 AUC; CLD, 0.647 AUC, <i>p</i> < .05) and LAC (non-CLD, 0.895 AUC; CLD, 0.843 AUC, <i>p</i> < .05). FL can better distinguish between HCC and ICC in patients with or without CLD than FD and LAC. FL may serve as a promising preoperative alternative for distinguishing between the two diseases.Clinical trials:Brief title: Exploration of noninvasive differential diagnosis of benign and malignant liver tumors.URL: https://register.clinicaltrials.govClinicalTrials.gov ID: NCT06524557.

Ultrasonic ImagingVol. 47(3-4)
Air Force Medical University (CN)
Openalex Percentile: Top 87%
Cholangiocarcinoma and Gallbladder Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.