US characterization of ovarian masses: A meta-analysis

被引:112
作者
Kinkel, K
Hricak, H
Lu, Y
Tsuda, K
Filly, RA
机构
[1] Univ Hosp Geneva, Dept Radiol, CH-1211 Geneva 14, Switzerland
[2] Univ Hosp Geneva, Dept Biostat, CH-1211 Geneva, Switzerland
关键词
ovary; neoplasms; US; ultrasound; (US); Doppler studies; comparative studies;
D O I
10.1148/radiology.217.3.r00dc20803
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
PURPOSE: To compare the effectiveness of current ultrasonographic (US) techniques for characterizing ovarian masses. MATERIALS AND METHODS: Through a MEDLINE literature search, articles with imaging-histopathologic correlation and data that allowed calculation of contingency tables were identified. Results of morphologic assessment, Doppler US, color Doppler flow imaging, and combined techniques were compared. RESULTS: Among 89 data sets from 46 included studies (5,159 subjects), 35 sets used morphologic information, 36 measured Doppler US indexes, 10 assessed tumor vascularity with color Doppler flow imaging, and eight used combined techniques. Summary receiver operating characteristic curves revealed significantly higher performance for combined techniques than for morphologic information (P = .003), Doppler US indexes (P = .003), or color Doppler flow imaging alone (P = .001). The Q* point (and 95% Cl) for combined techniques was 0.92 (0.87, 0.96) versus 0.85 (0.83, 0.88) for morphology, 0.82 (0.78, 0.86) for Doppler US, and 0.73 (0.58, 0.87) for color Doppler flow imaging. Morphologic assessment showed a trend toward better performance than color Doppler flow imaging (P = .09) or Doppler US indexes (P = .07). Doppler US index results were better in earlier studies (P = .005). CONCLUSION: Combined US techniques and a diagnostic algorithm perform significantly better than morphologic assessment, color Doppler flow imaging, or Doppler US indexes alone in characterizing ovarian masses.
引用
收藏
页码:803 / 811
页数:9
相关论文
共 64 条
[1]   Using a logistic model to predict malignancy of adnexal masses based on menopausal status, ultrasound morphology, and color Doppler findings [J].
Alcazar, JL ;
Jurado, M .
GYNECOLOGIC ONCOLOGY, 1998, 69 (02) :146-150
[2]   Role of transvaginal ultrasound color flow imaging and Doppler waveform analysis in differentiating between benign and malignant ovarian tumors [J].
Anandakumar, C ;
Chew, S ;
Wong, YC ;
Chia, D ;
Ratnam, SS .
ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 1996, 7 (04) :280-284
[3]  
ANTONIC J, 1995, ANTICANCER RES, V15, P1527
[4]  
BENACERRAF BR, 1990, J REPROD MED, V35, P491
[5]   Predicting ovarian malignancy: Application of artificial neural networks to transvaginal and color Doppler flow US [J].
Biagiotti, R ;
Desii, C ;
Vanzi, E ;
Gacci, G .
RADIOLOGY, 1999, 210 (02) :399-403
[6]   TRANSVAGINAL ULTRASOUND EXAMINATION OF OVARIAN MASSES IN PREMENOPAUSAL WOMEN [J].
BOTTA, G ;
ZARCONE, R .
EUROPEAN JOURNAL OF OBSTETRICS GYNECOLOGY AND REPRODUCTIVE BIOLOGY, 1995, 62 (01) :37-41
[7]  
BROMLEY B, 1994, OBSTET GYNECOL, V83, P434
[8]   OVARIAN MASSES - CAN BENIGN AND MALIGNANT LESIONS BE DIFFERENTIATED WITH COLOR AND PULSED DOPPLER US [J].
BROWN, DL ;
FRATES, MC ;
LAING, FC ;
DISALVO, DN ;
DOUBILET, PM ;
BENSON, CB ;
WAITZKIN, ED ;
MUTO, MG .
RADIOLOGY, 1994, 190 (02) :333-336
[9]   Benign and malignant ovarian masses: Selection of the most discriminating gray-scale and Doppler sonographic features [J].
Brown, DL ;
Doubilet, PM ;
Miller, FH ;
Frates, MC ;
Laing, FC ;
DiSalvo, DN ;
Benson, CB ;
Lerner, MH .
RADIOLOGY, 1998, 208 (01) :103-110
[10]   Pelvic examination, transvaginal ultrasound and transvaginal color Doppler sonography as predictors of ovarian cancer [J].
Buckshee, K ;
Temsu, I ;
Bhatla, N ;
Deka, D .
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 1998, 61 (01) :51-57