SEARCH

SEARCH BY CITATION

References

  • 1
    Cancer Research UK. Ovarian cancer statistics – UK. 2011. [Available at: http://info.cancerresearchuk.org/cancerstats/types/ovary/]. Last accessed 13 February 2012.
  • 2
    Ferlay J, Parkin DM, Steliarova-Foucher E. Estimates of cancer incidence and mortality in Europe in 2008. Eur J Cancer 2010;46:76581.
  • 3
    Bristow RE, Tomacruz RS, Armstrong DK, Trimble EL, Montz FJ. Survival effect of maximal cytoreductive surgery for advanced ovarian carcinoma during the platinum era: a meta-analysis. J Clin Oncol 2002;20:124859.
  • 4
    Greving JP, Vernooij F, Heintz APM, van der Graaf Y, Buskens E. Is centralization of ovarian cancer care warranted? A cost-effectiveness analysis Gynecol Oncol 2009;113:6874.
  • 5
    Vergote I, De Brabanter J, Fyles A, Bertelsen K, Einhorn N, Sevelda P, et al. Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma. Lancet 2001;357:17682.
  • 6
    Bristow RE, Berek JS. Surgery for ovarian cancer: how to improve survival. Lancet 2006;367:155860.
  • 7
    Earle CC, Schrag D, Neville BA, Yabroff KR, Topor M, Fahey A, et al. Effect of surgeon specialty on process of care and outcomes for ovarian cancer patients. J Natl Cancer Inst 2006;98:17280.
  • 8
    Engelen MJA, Kos HE, Willemse PHB, Aalders JG, de Vries EGE, Schaapveld M, et al. Surgery by consultant gynecologic oncologists improves survival in patients with ovarian carcinoma. Cancer 2006;106:58998.
  • 9
    Jacobs I, Oram D, Fairbanks J, Turner J, Frost C, Grudzinskas JG. A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer. Br J Obstet Gynaecol 1990;97:9229.
  • 10
    Geomini P, Kruitwagen R, Bremer GL, Cnossen J, Mol BWJ. The accuracy of risk scores in predicting ovarian malignancy. A systematic review. Obstet Gynecol 2009;113:38494.
  • 11
    Clarke SE, Grimshaw R, Rittenberg P, Kieser K, Bentley J. Risk of malignancy index in the evaluation of patients with adnexal masses. J Obstet Gynaecol Can 2009;31:4405.
  • 12
    Bailey J, Tailor A, Naik R, Lopes A, Godfrey K, Hatem HM, et al. Risk of malignancy index for referral of ovarian cancer cases to a tertiary center: does it identify the correct cases? Int J Gynecol Cancer 2006;16(Suppl. 1):304.
  • 13
    National Collaborating Centre for Cancer. Recognition and initial management of ovarian cancer: NICE clinical guideline 122. London, UK: National Institute for Health and Clinical Excellence, 2011, Available from: http://www.nice.org.uk/CG122. Last accessed 13 February 2012.
  • 14
    Rufford BD, Jacobs IJ. Green-top Guideline No. 34. Ovarian cysts in postmenopausal women. London, UK: Royal College of Obstetricians and Gynaecologists, 2003, Available from: http://www.rcog.org.uk/files/rcog-corp/GTG3411022011.pdf. Last accessed 13 February 2012.
  • 15
    Timmerman D, Testa AC, Bourne T, Ferrazzi E, Ameye L, Konstantinovic ML, et al. A logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis (IOTA) group. J Clin Oncol 2005;23:8794801.
  • 16
    Van Holsbeke C, Van Calster B, Testa AC, Domali E, Lu C, Van Huffel S, et al. Predicting malignancy of ovarian tumors: prospective evaluation of models from the IOTA study. Clin Cancer Res 2009;15:68491.
  • 17
    Timmerman D, Van Calster B, Testa AC, Guerriero S, Fischerova D, Lissoni AA, et al. Ovarian cancer prediction by logistic regression models: a prospective evaluation of diagnostic accuracy. Ultrasound Obstet Gynecol 2010;36:22634.
  • 18
    Van Holsbeke C, Van Calster B, Bourne T, Ajossa S, Testa AC, Guerriero S, et al. External validation of diagnostic models to estimate the risk of malignancy in adnexal masses. Clin Cancer Res 2012;18:815825.
  • 19
    Van Calster B, Valentin L, Van Holsbeke C, Testa AC, Bourne T, Van Huffel S, et al. Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models. BMC Med Res Methodol 2010;10:96.
  • 20
    Timmerman D, Ameye L, Fischerova D, Epstein E, Melis GB, Guerriero S, et al. Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group. BMJ 2011;341:c6839.
  • 21
    Timmerman D, Valentin L, Bourne TH, Collins WP, Verrelst H, Vergote I. Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group. Ultrasound Obstet Gynecol 2000;16:5005.
  • 22
    Kenemans P, van Kamp GJ, Oehr P, Verstraeten RA. Heterologous double-determinant immunoradiometric assay CA 125 II: reliable second-generation immunoassay for determining CA 125 in serum. Clin Chem 1993;39:250913.
  • 23
    Heintz APM, Odicino F, Maisonneuve P, Quinn MA, Benedet JL, Creasman WT, et al. Carcinoma of the ovary. Int J Gynaecol Obstet 2006;95(Suppl. 1):S16192.
  • 24
    Davies AP, Jacobs I, Woolas R, Fish A, Oram D. The adnexal mass: benign or malignant? Evaluation of a risk of malignancy index Br J Obstet Gynaecol 1993;100:92731.
  • 25
    Pencina MJ, D’Agostino RB Sr, D’Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under ROC curve to reclassification and beyond. Stat Med 2008;27:15772.
  • 26
    Little JR, Rubin D. Statistical analysis with missing data, 2nd edn. New York, NY: Wiley; 2002.
  • 27
    Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393.
  • 28
    Schenker N, Taylor JMG. Partially parametric techniques for multiple imputation. Comput Stat Data Anal 1996;22:42546.
  • 29
    Li K-H, Meng X-L, Raghunathan TE, Rubin DB. Significance levels from repeated p-values with multiply-imputed data. Stat Sin 1991;1:6592.
  • 30
    Van Calster B, Timmerman D, Lu C, Suykens JAK, Valentin L, Van Holsbeke C, et al. Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods. Ultrasound Obstet Gynecol 2007;29:496504.