ArticleMedicine2020
Diagnosis of liver tumors by multimodal ultrasound imaging.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 33 citations in OpenAlex.
- Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57.Computational intelligence and neuroscience · 2022Trial
- Ultrasound Imaging: A Cornerstone of the Entire High-Intensity Focused Ultrasound Tumor Treatment Continuum.Diagnostics (Basel, Switzerland) · 2026Review
- Artificial intelligence in hepatocellular carcinoma diagnosis and AI-assisted treatment support: Current landscape and future directions.Liver research (Beijing, China) · 2026Review
- Advances and innovations in ultrasound-based tumor management: current applications and emerging directions.The ultrasound journal · 2025Review
- Using multimodal ultrasound technology to improve the success rate of liver tumor puncture for lesions with poor visibility on conventional ultrasound imaging.Quantitative imaging in medicine and surgery · 2025Article
- Diagnostic superiority of contrast-enhanced ultrasound combined with elastography for early hepatocellular carcinoma in cirrhotic patients.American journal of translational research · 2025Article
- Multimodal ultrasound plus tumor markers demonstrates a high value in enhanced diagnosis of breast cancer.American journal of translational research · 2024Article
- Diagnostic value of multimodal ultrasound for breast cancer and prediction of sentinel lymph node metastases.Frontiers in cell and developmental biology · 2024Article
- Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians.Diagnostics (Basel, Switzerland) · 2023Article
- Shear-wave elastography combined with contrast-enhanced ultrasound algorithm for noninvasive characterization of focal liver lesions.La Radiologia medica · 2023Article
- Deep Learning Algorithms in the Automatic Segmentation of Liver Lesions in Ultrasound Investigations.Life (Basel, Switzerland) · 2022Article
- Application of Shear Wave Elastography and Contrast-Enhanced Ultrasound in Transrectal Prostate Biopsy.Current medical science · 2022Article
- The value of multimodal ultrasonography in differential diagnosis of tuberculous and non-tuberculous superficial lymphadenitis.BMC surgery · 2021Article
- An Improved Sensing Method of a Robotic Ultrasound System for Real-Time Force and Angle Calibration.Sensors (Basel, Switzerland) · 2021Article
- The Need for Alternatives to Liver Biopsies: Non-Invasive Analytics and Diagnostics.Hepatic medicine : evidence and research · 2021Review
- A Comprehensive Narrative Review on the Evolving Role of Endoscopic Ultrasound in Focal Solid Liver Lesions Diagnosis and Management.Diagnostics (Basel, Switzerland) · 2020Review
- Knockdown of lncRNA LINC01234 Suppresses the Tumorigenesis of Liver Cancer via Sponging miR-513a-5p.Frontiers in oncology · 2020Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the diagnostic value of multimodal ultrasound imaging composed of conventional ultrasonography (US), contrast-enhanced ultrasonography (CEUS), and shear wave elastography (SWE) for liver tumors.Between October 2017 and October 2019, US, CEUS, and SWE examinations of a total of 158 liver tumors in 136 patients at The First Affiliated Hospital of Nanchang University were performed. The histopathological or imaging diagnostic results were used as controls to evaluate the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of US, CEUS, SWE, and multimodal ultrasound imaging, which combines these 3 modes, in the differential diagnosis of benign and malignant liver tumors.Among the 158 tumors, there were 64 benign tumors, including 55 cases of hepatic hemangioma, 3 cases of focal nodular hyperplasia of the liver, 4 cases of hepatic cyst, and 2 cases of focal nonuniform distribution of fat in the liver. There were 94 malignant tumors, including 32 cases of hepatocellular carcinoma, 22 cases of intrahepatic cholangiocellular carcinoma, 29 cases of metastatic liver cancer, and 11 cases of dysplastic nodules in cirrhotic liver. In the diagnosis of benign and malignant liver tumors, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 82.56%, 68.06%, 75.96%, 75.53%, and 76.56% for US; 92.39%, 86.36%, 89.87%, 90.43%, and 89.06% for CEUS; 87.14%, 76.81%, 82.91%, 82.98%, and 82.81% for SWE; and 97.85%, 95.38%, 96.83%, 96.81%, and 96.88% for multimodal ultrasound imaging, respectively. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were all significantly higher for multimodal ultrasound imaging than those values for US, CEUS, and SWE (all P < .05). The areas under the receiver operating characteristic curve for US, CEUS, SWE, and multimodal ultrasound imaging in the diagnosis of benign and malignant liver tumors were 0.760, 0.897, 0.829, and 0.968, respectively.US, CEUS, and SWE all have diagnostic value in the diagnosis of benign and malignant liver tumors. Multimodal ultrasound imaging could significantly increase the accuracy of the diagnosis of benign and malignant liver tumors and has higher value for clinical application.
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