1 |
戴晴. 卵巢恶性肿瘤的超声评价及研究进展 [J]. 肿瘤影像学, 2016, 25(10): 1-5.
|
2 |
刘婧, 陈秋月, 吕国荣. 超声国际卵巢肿瘤研究组简单法则与妇科影像报告数据系统分类诊断卵巢肿瘤的比较 [J]. 中国医学影像技术, 2017, 33(5): 739-742.
|
3 |
王润丽, 栗河舟, 张红彬. IOTA Logistic回归模型LR2预测卵巢良恶性肿瘤的价值 [J]. 肿瘤影像学, 2018, 27(3): 207-210.
|
4 |
Timmerman D, Ameye L, Fischerova D, et al. Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group [J]. BMJ, 2010, 341(10): c6839.
|
5 |
Nunes N, Ambler G, Foo X, et al. Use of IOTA simple rules for diagnosis of ovarian cancer: meta-analysis [J]. Ultrasound Obstet Gynecol, 2014, 44(5): 503-514.
|
6 |
Kaijser J. Towards an evidence-based approach for diagnosis and management of adnexal masses: findings of the International Ovarian Tumour Analysis (IOTA) studies [J]. Facts View Vis Obgyn, 2015, 7(1): 42-59.
|
7 |
Dakhly DMR, Gaafar HM, Sediek MM,et al. Diagnostic value of the International Ovarian Tumor Analysis (IOTA) simple rules versus pattern recognition to differentiate between malignant and benign ovarian masses [J]. Int J Gynaecol Obstet, 2019, 147(3): 344-349.
|
8 |
Koneczny J, Czekierdowski A, Florczak M, et al.The use of sonographic subjective tumor assessment,IOTA logistic regression model 1, IOTA Simple Rules and GI-RADS system in the preoperative prediction of malignancy in women with adnexal masses [J]. Ginekol Pol, 2017, 88(12): 647-653.
|
9 |
Tongsong T, Wanapirak C, Tantipalakorn C, et al. Sonographic diagnosis of tubal cancer with IOTA simple rules plus pattern recognition [J]. Asian Pac J Cancer Prev, 2017, 18(11): 3011-3015.
|
10 |
张丹, 李燕东. 卵巢与附件区肿瘤的研究进展 [J/OL]. 中华超声医学杂志(电子版), 2020, 17(3): 274-275.
|
11 |
朱新艳, 耿京, 唐军, 等. 超声联合IOTA简易标准及Logistic回归模型对卵巢交界性肿瘤预测价值 [J]. 中国超声医学杂志, 2016, 32(10): 932-933.
|