Diagnostic nomogram for gallbladder wall thickening mimicking malignancy: using contrast-enhanced ultrasonography or multi-detector computed tomography?

被引:22
作者
Chen, Li-Da [1 ]
Huang, Yang [1 ]
Xie, Xiao-Hua [1 ]
Chen, Wei [2 ]
Shan, Quan-Yuan [1 ]
Xu, Ming [1 ]
Liu, Jin-Ya [1 ]
Nie, Zhi-Qiang [3 ]
Xie, Xiao-Yan [1 ]
Lu, Ming-De [1 ,2 ]
Shen, Shun-Li [2 ]
Wang, Wei [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Inst Diagnost & Intervent Ultrasound, Dept Med Ultrason, 58 Zhongshan Rd 2, Guangzhou 510080, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Hepatobiliary Surg, Guangzhou, Guangdong, Peoples R China
[3] Guangdong Acad Med Sci, Guangdong Gen Hosp, Guangdong Cardiovasc Inst, Dept Epidemiol, Guangzhou, Guangdong, Peoples R China
关键词
Gallbladder; Neoplasm; Contrast-enhanced ultrasonography; Multi-detector computed tomography; Nomogram; HARMONIC ENDOSCOPIC ULTRASONOGRAPHY; CLINICAL-PRACTICE RECOMMENDATIONS; DIFFERENTIAL-DIAGNOSIS; CHRONIC CHOLECYSTITIS; ULTRASOUND CEUS; CANCER; CARCINOMA; DISEASES; POLYPS; CT;
D O I
10.1007/s00261-017-1162-z
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives:To establish a diagnostic nomogram using contrast-enhanced ultrasonography (CEUS) in gallbladder wall thickening mimicking malignancy and compare with multi-detector computed tomography (MDCT). Methods:Seventy-two patients with gallbladder wall thickening on B-mode ultrasonography (BUS) were examined by CEUS to develop independent predictors for diagnosing gallbladder carcinoma. Among the 72 cases, 48 patients underwent both CEUS and MDCT. The diagnostic performances of different sets of CEUS criteria and MDCT were compared. A prediction model of malignancy using CEUS was developed. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Results:Multivariate logistic regression indicated that inhomogeneous enhancement in the arterial phase was the strongest independent predictor of malignancy (odds ratio, OR 51.162), followed by interrupted inner layer (OR 19.788), washout time <= 40 s (OR 16.686), and wall thickness > 1.6 cm (OR 3.019), which were all selected into the nomogram. Combined with the above significant features, the diagnostic performance of CEUS (AUC = 0.917) was higher than that of MDCT (AUC = 0.788, P = 0.070). The predictive model using CEUS showed good discrimination, with a concordance index of 0.974 (0.950 through internal validation), and good calibration. Decision curve analysis demonstrated that the nomogram was clinically useful. Conclusions:CEUS could accurately differentiate between malignant and benign gallbladder wall thickening with equivalent efficacy compared to MDCT. The proposed nomogram could be conveniently used to facilitate the preoperative individualized prediction of malignancy in patients with gallbladder wall thickening.
引用
收藏
页码:2436 / 2446
页数:11
相关论文
共 50 条
  • [1] Diagnostic nomogram for gallbladder wall thickening mimicking malignancy: using contrast-enhanced ultrasonography or multi-detector computed tomography?
    Li-Da Chen
    Yang Huang
    Xiao-Hua Xie
    Wei Chen
    Quan-Yuan Shan
    Ming Xu
    Jin-Ya Liu
    Zhi-Qiang Nie
    Xiao-Yan Xie
    Ming-De Lu
    Shun-Li Shen
    Wei Wang
    Abdominal Radiology, 2017, 42 : 2436 - 2446
  • [2] Incidentally Detected Focal Fundal Gallbladder Wall Thickening at Contrast-Enhanced Computed Tomography: Prevalence and Computed Tomography Features of Malignancy
    Corwin, Michael T.
    Khera, Satinderpal S.
    Loehfelm, Thomas W.
    Yang, Nuen Tsang
    Fananapazir, Ghaneh
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2019, 43 (01) : 149 - 154
  • [3] DIFFERENTIAL DIAGNOSIS OF GALLBLADDER WALL THICKENING: THE USEFULNESS OF CONTRAST-ENHANCED ULTRASOUND
    Xu, Jun-Mei
    Guo, Le-Hang
    Xu, Hui-Xiong
    Zheng, Shu-Guang
    Liu, Lin-Na
    Sun, Li-Ping
    Lu, Ming-De
    Xie, Xiao-Yan
    Wang, Wen-Ping
    Hu, Bing
    Yan, Kun
    Ding, Hong
    Tang, Shao-Shan
    Qian, Lin-Xue
    Luo, Bao-Ming
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2014, 40 (12) : 2794 - 2804
  • [4] Contrast-enhanced ultrasonography improves the diagnostic specificity for gallbladder-confined focal tumors
    Zhuang, Bowen
    Li, Wei
    Wang, Wei
    Lin, Manxia
    Xu, Ming
    Xie, Xiaoyan
    Lu, Mingde
    Xie, Xiaohua
    ABDOMINAL RADIOLOGY, 2018, 43 (05) : 1134 - 1142
  • [5] Contrast-Enhanced Harmonic Endoscopic Ultrasonography in the Differential Diagnosis of Gallbladder Wall Thickening
    Imazu, Hiroo
    Mori, Naoki
    Kanazawa, Keisuke
    Chiba, Masafumi
    Toyoizumi, Hirobumi
    Torisu, Yuichi
    Koyama, Seita
    Hino, Shoryoku
    Ang, Tiing Leong
    Tajiri, Hisao
    DIGESTIVE DISEASES AND SCIENCES, 2014, 59 (08) : 1909 - 1916
  • [6] Diagnostic value of delayed washout rate of contrast-enhanced multi-detector computed tomography in adrenal incidentalomas
    Mohamed, Rania Essameldein
    Abodewan, Khaled Abd-el-Wahab
    Amin, Mohamed Amin
    ALEXANDRIA JOURNAL OF MEDICINE, 2014, 50 (04) : 345 - 358
  • [7] Double contrast-enhanced ultrasonography improves diagnostic accuracy of T staging compared with multi-detector computed tomography in gastric cancer patients
    Xu, Yan-Fen
    Ma, Hui-Yun
    Huang, Gui-Ling
    Zhang, Yu-Ting
    Wang, Xue-Yan
    Wei, Ming-Jie
    Pei, Xiao-Qing
    WORLD JOURNAL OF GASTROENTEROLOGY, 2024, 30 (23) : 3005 - 3015
  • [8] Study of the renal segmental arterial anatomy with contrast-enhanced multi-detector computed tomography
    Rocco, Francesco
    Cozzi, Luigi Alberto
    Cozzi, Gabriele
    SURGICAL AND RADIOLOGIC ANATOMY, 2015, 37 (05) : 517 - 526
  • [9] Evaluation of blunt pancreatic injury with contrast-enhanced ultrasonography in comparison with contrast-enhanced computed tomography
    Song, Qing
    Tang, Jie
    Lv, Fa-Qin
    Zhang, Yan
    Jiao, Zi-Yu
    Liu, Qiang
    Luo, Yu-Kun
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2013, 5 (05) : 1461 - 1465
  • [10] Contrast-enhanced ultrasonography improves the diagnostic specificity for gallbladder-confined focal tumors
    Bowen Zhuang
    Wei Li
    Wei Wang
    Manxia Lin
    Ming Xu
    Xiaoyan Xie
    Mingde Lu
    Xiaohua Xie
    Abdominal Radiology, 2018, 43 : 1134 - 1142