Integrating Contrast-enhanced US to O-RADS US for Classification of Adnexal Lesions with Solid Components: Time-intensity Curve Analysis versus Visual Assessment

被引:2
|
作者
Wu, Manli [1 ]
Wang, Ying [1 ]
Su, Manting [1 ]
Wang, Ruili [2 ]
Sun, Xiaofeng [3 ]
Zhang, Rui [4 ]
Mu, Liang [5 ]
Xiao, Li [6 ]
Wen, Hong [7 ]
Liu, Tingting [8 ]
Meng, Xiaotao [9 ]
Huang, Licong [1 ]
Zhang, Xinling [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 3, Dept Ultrasound, 600 Tianhe Rd, Guangzhou 510630, Guangdong, Peoples R China
[2] Henan Prov Peoples Hosp, Dept Ultrasound, Zhengzhou, Peoples R China
[3] Huazhong Univ Sci & Technol, Cent Hosp Wuhan, Tongji Med Coll, Dept Ultrasound, Wuhan, Peoples R China
[4] Childrens Hosp Shanxi, Women Hlth Ctr Shanxi, Dept Ultrasound, Taiyuan, Peoples R China
[5] Shaanxi Prov Peoples Hosp, Ultrasound Diag Ctr, Xian, Peoples R China
[6] Fifth Peoples Hosp Chengdu, Dept Ultrasound, Chengdu, Peoples R China
[7] Huizhou Cent Peoples Hosp, Dept Ultrasound, Huizhou, Peoples R China
[8] Guangxi Med Univ, Affiliated Hosp 1, Dept Ultrasound Med, Nanning, Peoples R China
[9] Matern Hosp Bao Tou, Hosp BaoGang Grp 3, Dept Ultrasound, Baotou, Peoples R China
来源
RADIOLOGY-IMAGING CANCER | 2024年 / 6卷 / 06期
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
DATA SYSTEM; ULTRASOUND; MASSES; DIAGNOSIS; RULES;
D O I
10.1148/rycan.240024
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To compare the diagnostic performance of time-intensity curve (TIC) analysis and subjective visual assessment of contrast-enhanced US (CEUS) when integrated with the Ovarian-Adnexal Reporting and Data System (O-RADS) US risk stratification system for characterizing adnexal lesions with solid components. Materials and Methods: In this prospective multicenter study conducted from September 2021 to December 2022, female individuals with suspected adnexal lesions containing solid components detected at routine US were enrolled. All participants underwent preoperative CEUS examinations. Histopathologic findings were used as the reference standard for diagnosis. Lesions were classified according to the O-RADS US system. Enhancement of solid tissue compared with the outer myometrium was evaluated using both TIC analysis and subjective visual assessment. The diagnostic performance of O-RADS alone and each CEUS assessment method when integrated with the O-RADS US system was assessed and compared using receiver operating characteristic curve analysis. Results: A total of 180 lesions (80 malignant and 100 benign histopathologic outcomes) in 175 participants (median age, 47 years [IQR, 33-56]) were analyzed. Incorporating CEUS (assessed through both TIC analysis and subjective visual assessment) with O-RADS US showed significantly improved diagnostic performance over O-RADS US alone, with an area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI: 0.80, 0.91) compared with 0.78 (95% CI: 0.71, 0.84). No evidence of a difference was observed between the AUCs of TIC analysis and subjective visual assessment in enhancement evaluation of solid tissue with CEUS for adnexal malignancy categorization (P = .83). Conclusion: Subjective visual assessment and TIC analysis of CEUS features when integrated with the O-RADS US scoring system showed comparable diagnostic performance in assigning adnexal malignancy risk.
引用
收藏
页数:11
相关论文
共 10 条
  • [1] O-RADS MRI Classification of Indeterminate Adnexal Lesions: Time-Intensity Curve Analysis Is Better Than Visual Assessment
    Wengert, Georg J.
    Dabi, Yohann
    Kermarrec, Edith
    Jalaguier-Coudray, Aurelie
    Poncelet, Edouard
    Porcher, Raphael
    Thomassin-Naggara, Isabelle
    Rockall, Andrea G.
    RADIOLOGY, 2022, 303 (03) : 566 - 575
  • [2] Role of contrast-enhanced ultrasound with time-intensity curve analysis for differentiating hypovascular solid pancreatic lesions
    Wang, Lan
    Nie, Fang
    Dong, Tiantian
    Li, Ming
    Li, Yuanyuan
    Yin, Ci
    EUROPEAN RADIOLOGY, 2023, 33 (07) : 4885 - 4894
  • [3] Role of contrast-enhanced ultrasound with time-intensity curve analysis for differentiating hypovascular solid pancreatic lesions
    Lan Wang
    Fang Nie
    Tiantian Dong
    Ming Li
    Yuanyuan Li
    Ci Yin
    European Radiology, 2023, 33 : 4885 - 4894
  • [4] Contrast-enhanced US to Improve Diagnostic Performance of O-RADS US Risk Stratification System for Malignancy
    Yuan, Kun
    Huang, Yu-Jun
    Mao, Mu-Yi
    Li, Tian
    Wang, Song-Juan
    He, Dan-Ni
    Liu, Wen-Fen
    Li, Meng-Xiong
    Zhu, Xiao-Min
    Chen, Xin-Yu
    Zhu, Yun-Xiao
    RADIOLOGY, 2023, 308 (02)
  • [5] Quantitative Analysis of the Time-Intensity Curve of Contrast-Enhanced Ultrasound of the Liver: Differentiation of Benign and Malignant Liver Lesions
    Schwarz, Sonja
    Clevert, Dirk-Andre
    Ingrisch, Michael
    Geyer, Thomas
    Schwarze, Vincent
    Rubenthaler, Johannes
    Armbruster, Marco
    DIAGNOSTICS, 2021, 11 (07)
  • [6] Contrast-enhanced harmonic endoscopic ultrasonography with time-intensity curve analysis for intraductal papillary mucinous neoplasms of the pancreas
    Yamamoto, Naoki
    Kato, Hironari
    Tomoda, Takeshi
    Matsumoto, Kazuyuki
    Sakakihara, Ichiro
    Noma, Yasuhiro
    Horiguchi, Shigeru
    Harada, Ryo
    Tsutsumi, Koichiro
    Hori, Keisuke
    Tanaka, Takehiro
    Okada, Hiroyuki
    de Yamamoto, Kazuh
    ENDOSCOPY, 2016, 48 (01) : 26 - 34
  • [7] Noninvasive diagnosis of compensated cirrhosis using an analysis of the time-intensity curve portal vein slope gradient on contrast-enhanced ultrasonography
    Goto, Yuichi
    Okuda, Koji
    Akasu, Gen
    Kinoshita, Hisafumi
    Tanaka, Hiroyuki
    SURGERY TODAY, 2014, 44 (08) : 1496 - 1505
  • [8] Characterization of Focal Liver Lesions by Means of Assessment of Hepatic Transit Time with Contrast-enhanced US
    Zhou, Xiang
    Liu, Ji-Bin
    Luo, Yan
    Yan, Feng
    Peng, Yulan
    Lin, Ling
    Zhuang, Hua
    RADIOLOGY, 2010, 256 (02) : 648 - 655
  • [9] Contrast-enhanced harmonic endoscopic ultrasound using time-intensity curve analysis predicts pathological grade of pancreatic neuroendocrine neoplasm
    Takada, Saimon
    Kato, Hironari
    Saragai, Yosuke
    Muro, Shinichiro
    Uchida, Daisuke
    Tomoda, Takeshi
    Matsumoto, Kazuyuki
    Horiguchi, Shigeru
    Tanaka, Noriyuki
    Okada, Hiroyuki
    JOURNAL OF MEDICAL ULTRASONICS, 2019, 46 (04) : 449 - 458
  • [10] Time-intensity curve analysis of contrast-enhanced ultrasound is unable to differentiate renal dysfunction in the early post-transplant period - a prospective study
    Araujo, Nordeval Cavalcante
    Rocco Suassuna, Jose Hermogenes
    BMC NEPHROLOGY, 2018, 19