Comparison of Effectiveness in Differentiating Benign from Malignant Ovarian Masses between IOTA Simple Rules and Subjective Sonographic Assessment |
Tongsong, Theera
(Department of Obstetrics and Gynecology, Chiang Mai University)
Tinnangwattana, Dangcheewan (Department of Obstetrics and Gynecology, Chiang Mai University) Vichak-ururote, Linlada (Department of Obstetrics and Gynecology, Chiang Mai University) Tontivuthikul, Paponrad (Department of Obstetrics and Gynecology, Chiang Mai University) Charoenratana, Cholaros (Department of Obstetrics and Gynecology, Chiang Mai University) Lerthiranwong, Thitikarn (Department of Obstetrics and Gynecology, Chiang Mai University) |
1 | Alcazar JL, Guerriero S, Laparte C, et al (2011). Contribution of power Doppler blood flow mapping to gray-scale ultrasound for predicting malignancy of adnexal masses in symptomatic and asymptomatic women. Eur J Obstet Gynecol Reprod Biol, 155, 99-105. DOI |
2 | Alcazar JL, Pascual MA, Olartecoechea B, et al (2013). IOTA simple rules for discriminating between benign and malignant adnexal masses: prospective external validation. Ultrasound Obstet Gynecol, 42, 467-1. |
3 | Di Legge A, Testa AC, Ameye L, et al (2012). Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses. Ultrasound Obstet Gynecol, 40, 345-54. DOI |
4 | Guerriero S, Alcazar JL, Pascual MA, et al (2011). The diagnosis of ovarian cancer: is color Doppler imaging reproducible and accurate in examiners with different degrees of experience? J Womens Health (Larchmt.), 20, 273-7. DOI |
5 | Hafeez S, Sufian S, Beg M, et al (2013). Role of ultrasound in characterization of ovarian masses. Asian Pac J Cancer Prev, 14, 603-6. DOI |
6 | Kaijser J, Bourne T, Valentin L, et al (2013a). Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies. Ultrasound Obstet Gynecol, 41, 9-20. DOI |
7 | Kaijser J, Van GT, Van HK, et al (2013b). A comparison between an ultrasound based prediction model (LR2) and the risk of ovarian malignancy algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass. Gynecol Oncol, 129, 377-83. DOI |
8 | 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, 81-5. DOI |
9 | 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, 70-6. |
10 | Timmerman D, Van CB, Testa AC, et al (2010). Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group. Ultrasound Obstet Gynecol, 36, 226-34. |
11 | Tinnangwattana D, Vichak-Ururote L, Tontivuthikul P, et al (2015). IOTA simple rules in differentiating between benign and malignant adnexal masses by Non-expert Examiners. Asian Pac J Cancer Prev, 16, 3835-8. DOI |
12 | Tongsong T, Wanapirak C, Neeyalavira V, et al (2009). E-flow doppler indices for prediction of benign and malignant ovarian tumors. Asian Pac J Cancer Prev, 10, 139-42. |
13 | Tongsong T, Wanapirak C, Sukpan K, et al (2007). Subjective sonographic assessment for differentiation between malignant and benign adnexal masses. Asian Pac J Cancer Prev, 8, 124-6. |
14 | Timmerman D, Testa AC, Bourne T, et al (2008). Simple ultrasound-based rules for the diagnosis of ovarian cancer. Ultrasound Obstet Gynecol, 31, 681-90. DOI |
15 | Sayasneh A, Kaijser J, Preisler J, et al (2013). A multicenter prospective external validation of the diagnostic performance of IOTA simple descriptors and rules to characterize ovarian masses. Gynecol Oncol, 130, 140-6. DOI |
16 | Tantipalakorn C, Wanapirak C, Khunamornpong S, et al (2014). IOTA simple rules in differentiating between benign and malignant ovarian tumors. Asian Pac J Cancer Prev, 15, 5123-6. DOI |