Abstract
The ultrasound based characterisation of adnexal masses continues to be a challenge. A reliable, objective and reproducible method to predict malignancy in these tumours remains elusive. For the clinician such information on the probability of malignancy would be very helpful in the management of the patient. On the basis of this information, any patients deemed to have a high probability of malignancy could be selected for referral to tertiary centres for surgery to be performed by gynaecological oncologists. At the other end of the spectrum, patients with benign tumours could be operated on by minimally invasive techniques. There may be another subgroup of patients whose tumours appear so benign that the need for surgery could be questioned. In such instances, the information on the probability of malignancy could be utilised to reassure the patient and arrange the appropriate follow-up.
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References
Bast RC Jr, Feeney M, Lazarus H et al (1981) Reactivity of a monoclonal antibody with human ovarian carcinoma. J Clin Invest 68(5):1331–1337
Chen DX, Schwartz PE, Li XG et al (1988) Evaluation of CA 125 levels in differentiating malignant from benign tumors in patients with pelvic masses. Obstet Gynecol 72(l):23–27
Finkler NJ, Benacerraf B, Lavin PT et al (1988) Comparison of serum CA 125, clinical impression, and ultrasound in the preoperative evaluation of ovarian masses. Obstet Gynecol 72(4):659–664
Kawai M, Kikkawa F, Ishikawa H et al (1994) Differential diagnosis of ovarian tumors by transvaginal color-pulse Doppler sonography. Gynecol Oncol 54(2):209–214
Bourne TH, Campbell S, Steer C et al (1989) Transvaginal colour flow imaging: a possible new screening technique for ovarian cancer. Br Med J 299:1367–1370
Kurjak A, Zalud I, Alfirevic Z (1991) Evaluation of adnexal masses with transvaginal color ultrasound. J Ultrasound Med 10(6):295–297
Hata T, Hata K, Yamane Y et al (1988) Real-time two-dimensional and pulsed Doppler ultrasound detection of intrapelvic neoplastic tumors and abnormal pathogenic changes: preliminary report. J Cardiovasc Ultrasonography 7:135–141
Bromley B, Goodman H, Benacerraf BR (1994) Comparison between sonographic morphology and Doppler waveform for the diagnosis of ovarian malignancy. Obstet Gynecol 83 (3):434–437
Valentin L, Sladkevicius P, Marsal K (1994) Limited contribution of Doppler velocimetry to the differential diagnosis of extrauterine pelvic tumours. Obstet Gynecol 83:425–433
Stein SM, Leifer-Narin S, Johnson MB et al (1995) Differentiation of benign and malignant adnexal masses: relative value of gray-scale, color Doppler, and spectral Doppler sonography. Am J Roentgenol 164:381–386
Tailor A, Jurkovic D, Bourne TH et al (1996) A comparison of intratumoural indices of blood flow velocity and impedance for the diagnosis of ovarian cancer. Ultrasound Med Biol 22(7):837–843
Hata K, Hata T, Kitao M (1995) Intratumoral peak systolic velocity as a new possible predictor for detection of adnexal malignancy. Am J Obstet Gynecol 172:1496–1500
Sassone AM, Timor-Tritsch IE, Artner A et al (1991) Transvaginal sonographic characterization of ovarian disease: evaluation of a new scoring system to predict ovarian malignancy. Obstet Gynecol 78(l):70–76
Lerner JP, Timor-Tritsch IE, Federman A et al (1994) Transvaginal ultrasonographic characterization of ovarian masses with an improved, weighted scoring system. Am J Obstet Gynecol 170(1 Pt 1):81–85
Bourne TH, Campbell S, Reynolds KM et al (1993) Screening for early familial ovarian cancer with transvaginal ultrasonography and colour blood flow imaging. Br Med J 306 (6884):1025–1029
Astion ML, Wilding P (1992) The application of back- propagation neural networks to problems in pathology and laboratory medicine. Arch Pathol Lab Med 116:995–1001
Boone JM, Gross GW, Greco-Hunt V (1990) Neural networks in radiologic diagnosis: I Introduction and illustration. Invest Radiol 25:1012–1016
DaPonte JS, Sherman P (1991) Classification of ultrasonic image texture by statistical discriminant analysis of neutral networks. Comput Med Imaging Graph 15(l):3–9
Gross GW, Boone JM, Greco-Hunt V et al (1990) Neural networks in radiologic diagnosis. II Interpretation of neonatal chest radiographs. Invest Radiol 25(9):1017–1023
Scott JA, Palmer EL (1993) Neural network analysis of ventilation-perfusion lung scans. Radiology 186(3):661–664
Floyd CE Jr, Lo JY, Yun AJ et al (1994) Prediction of breast cancer malignancy using an artificial neural network Cancer 74(11):2944–2948
Tailor A, Jurkovic D, Bourne TH et al (1999) Sonographic prediction of malignancy in adnexal masses using an artificial neural network.. Br J Obstet Gynaecol 106(l):21–30
Tailor A, Jurkovic D, Bourne TH et al (1997) Sonographic prediction of malignancy in adnexal masses using multivariate logistic regression analysis. Ultrasound Obstet Gynecol 10(l):41–47
Timmerman D, Bourne TH, Tailor A et al (1999) A comparison of methods for preoperative discrimination between malignant and benign adnexal masses: the development of a new logistic regression model. Am J Obstet Gynecol 181(l):57–65
Timmerman D, Verreist H, Bourne T et al (1999) Artificial neural network models for the preoperative discrimination between benign and malignant adnexal masses. Ultrasound Obstet Gynecol 13:17–25
Schutter EM, Sohn C, Kristen P et al (1998) Estimation of probability of malignancy using a logistic model combining physical examination, ultrasound, serum CA 125, and serum CA 72–4 in postmenopausal women with a pelvic mass: an international multicenter study. Gynecol Oncol 69(1):56–63
Alcazar JL, Jurado M (1998) Using a logistic model to predict malignancy of adnexal masses based on menopausal status, ultrasound morphology, and color Doppler findings. Gynecol Oncol 69(2):146–150
Clayton RD, Snowden S, Weston MJ et al (1999) Neural networks in the diagnosis of malignant ovarian tumours. Br J Obstet Gynaecol 106(10):1078–1082
Aslam N, Tailor A, Lawton F et al (2000) Prospective evaluation of three different models for the pre-operative diagnosis of ovarian cancer. Br J Obstet Gynaecol 107 (11):1347—1353
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Tailor, A. (2003). Statistical Models. In: Ultrasound and Endoscopic Surgery in Obstetrics and Gynaecology. Springer, London. https://doi.org/10.1007/978-1-4471-0655-5_23
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DOI: https://doi.org/10.1007/978-1-4471-0655-5_23
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