Evidence map›Paper›PMID 40591197›Full record

ArticleLa Radiologia medica2025

Improving diagnostic accuracy in cirrhotic patients: a comprehensive multicenter analysis of contrast-enhanced ultrasound-guided biopsy in a large cohort of 2056 patients.

Binbin Jiang, Xiang Jing, Yuxiang Wang, Xiaolin Zhu, Jing Wang, Ruiqing Du, Bin Lv, Kefeng Wang, Zhixiang Gao, Kun Yan

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Binbin Jiang *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Ultrasound, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
Xiang Jing *Department of Ultrasonography, Tianjin Third Central Hospital, Tianjin, China.
Yuxiang Wang *Department of Ultrasonography, Shanxi Provincial Cancer Hospital, Taiyuan, China.
Xiaolin Zhu *Department of Hepatobiliary Cancer, Liver Cancer Center, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Jing WangDepartment of Ultrasonography, Yantai Qishan Hospital, Yantai, China.
Ruiqing DuDepartment of Ultrasonography, Shijiazhuang Fifth Hospital, Shijiazhuang, China.
Bin LvDepartment of Ultrasonography, Jining No. 1 People's Hospital, Jining, China.
Kefeng WangDepartment of Ultrasonography, Cangzhou Infectious Disease Hospital, Cangzhou, China.
Zhixiang GaoDepartment of Ultrasonography, Shanxi Provincial People's Hospital, Taiyuan, China.
Kun YanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Ultrasound, Peking University Cancer Hospital and Institute, Beijing, 100142, China. ydbz@vip.sina.com.

Funding

Beijing Municipal Science & Technology Commission grant no. Z151100004015186
6 · The paper itself

Abstract

purposeTo investigate the factors influencing ultrasound-guided liver biopsy accuracy and develop a decision model for managing biopsy results. MATERIALS AND

methodsThis prospective study enrolled 2056 adult patients with focal hepatic lesions from nine Chinese hospitals. Diagnostic accuracy was calculated, and variables were analyzed using multivariate logistic regression. A prediction model was constructed using chi-square automatic interaction detection.

resultsThis study enrolled 2056 participants (1297 men, 759 women; mean age, 67.8 ± 10.8 years) with 2056 biopsied lesions (mean ± standard deviation: 4.0 ± 2.8 cm; range 0.7-17.7 cm), and 94.2% were accurately diagnosed. Two to three biopsy passes were significantly more accurate than one pass (95.1% vs. 87.3%, P < 0.001) and comparable to the accuracy of > 3 passes (95.1% vs. 93.2%, P = 0.408). Independent predictors of accurate diagnoses included absence of cirrhosis [2.428 (1.457-3.741), P < 0.001], CEUS guidance [1.899 (1.288-2.801), P = 0.001], and number of biopsy passes > 1 [1.775 (1.103-2.855), P = 0.018]. The predictive decision tree model demonstrated that for cirrhotic patients who underwent CEUS-guided biopsy, the probability of an accurate diagnosis increased from 88.3% (when US-guided biopsy was used) to 93.3%. Conversely, in noncirrhotic patients undergoing US-guided biopsy, a diagnostic accuracy probability of 96.4% was observed. The overall prediction accuracy of the model was 94.4%.

conclusionCEUS-guided biopsy enhances diagnostic accuracy in cirrhotic patients, whereas US-guided biopsy is highly accurate in noncirrhotic patients. Two to three needle punctures are sufficient for 95% accuracy, with no additional improvement from more punctures.

Indexed as

Contrast MediaImage-Guided BiopsyLiver CirrhosisLiver NeoplasmsUltrasonography, InterventionalAgedFemaleHumansLiverMaleMiddle AgedProspective StudiesContrast MediaCirrhosisContrast-enhanced ultrasoundDiagnostic accuracyLiver biopsy

Identifiers

PMID40591197

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