212 related articles for article (PubMed ID: 37940895)
1. Comparative diagnostic accuracy of the IOTA SRR and LR2 scoring systems for discriminating between malignant and Benign Adnexal masses by junior physicians in Chinese patients: a retrospective observational study.
Tian C; Wen SB; Zhao CY; Yan XN; Du JX
BMC Womens Health; 2023 Nov; 23(1):585. PubMed ID: 37940895
[TBL] [Abstract][Full Text] [Related]
2. Ultrasound-based logistic regression model LR2 versus magnetic resonance imaging for discriminating between benign and malignant adnexal masses: a prospective study.
Shimada K; Matsumoto K; Mimura T; Ishikawa T; Munechika J; Ohgiya Y; Kushima M; Hirose Y; Asami Y; Iitsuka C; Miyamoto S; Onuki M; Tsunoda H; Matsuoka R; Ichizuka K; Sekizawa A
Int J Clin Oncol; 2018 Jun; 23(3):514-521. PubMed ID: 29236181
[TBL] [Abstract][Full Text] [Related]
3. Prospective external validation of IOTA methods for classifying adnexal masses and retrospective assessment of two-step strategy using benign descriptors and ADNEX: a Portuguese multicenter study.
Borges AL; Brito M; Ambrósio P; Condeço R; Pinto P; Ambrósio B; Mahomed F; Gama JMR; Bernardo MJ; Gouveia AI; Djokovic D
Ultrasound Obstet Gynecol; 2024 Mar; ():. PubMed ID: 38477149
[TBL] [Abstract][Full Text] [Related]
4. Performance of IOTA Simple Rules, Simple Rules risk assessment, ADNEX model and O-RADS in differentiating between benign and malignant adnexal lesions in North American women.
Hiett AK; Sonek JD; Guy M; Reid TJ
Ultrasound Obstet Gynecol; 2022 May; 59(5):668-676. PubMed ID: 34533862
[TBL] [Abstract][Full Text] [Related]
5. 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.
Di Legge A; Testa AC; Ameye L; Van Calster B; Lissoni AA; Leone FP; Savelli L; Franchi D; Czekierdowski A; Trio D; Van Holsbeke C; Ferrazzi E; Scambia G; Timmerman D; Valentin L
Ultrasound Obstet Gynecol; 2012 Sep; 40(3):345-54. PubMed ID: 22611001
[TBL] [Abstract][Full Text] [Related]
6. Comparison of IOTA three-step strategy and logistic regression model LR2 for discriminating between benign and malignant adnexal masses.
Hidalgo JJ; Llueca A; Zolfaroli I; Veiga N; Ortiz E; Alcázar JL
Med Ultrason; 2021 May; 23(2):168-175. PubMed ID: 33626112
[TBL] [Abstract][Full Text] [Related]
7. Prospective external validation of IOTA three-step strategy for characterizing and classifying adnexal masses and retrospective assessment of alternative two-step strategy using simple-rules risk.
Hidalgo JJ; Ros F; Aubá M; Errasti T; Olartecoechea B; Ruiz-Zambrana Á; Alcázar JL
Ultrasound Obstet Gynecol; 2019 May; 53(5):693-700. PubMed ID: 30353585
[TBL] [Abstract][Full Text] [Related]
8. Comparison of diagnostic efficiency between IOTA LR2 model and doctors
Zhao B; Fu Y; Wen L; Wang Z; Fu C; Liu M
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1082-1088. PubMed ID: 36097776
[TBL] [Abstract][Full Text] [Related]
9. Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China.
Chen H; Qian L; Jiang M; Du Q; Yuan F; Feng W
Ultrasound Obstet Gynecol; 2019 Dec; 54(6):815-822. PubMed ID: 31152572
[TBL] [Abstract][Full Text] [Related]
10. Improving diagnostic strategies for ovarian cancer in Filipino women using ultrasound imaging and a multivariate index assay.
Velayo CL; Reforma KN; Sicam RVG; Diwa MH; Sy ADR; Tantengco OAG
Cancer Epidemiol; 2022 Dec; 81():102253. PubMed ID: 36179631
[TBL] [Abstract][Full Text] [Related]
11. Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.
Meys EMJ; Jeelof LS; Achten NMJ; Slangen BFM; Lambrechts S; Kruitwagen RFPM; Van Gorp T
Ultrasound Obstet Gynecol; 2017 Jun; 49(6):784-792. PubMed ID: 27514486
[TBL] [Abstract][Full Text] [Related]
12. External validation of IOTA simple descriptors and simple rules for classifying adnexal masses.
Alcázar JL; Pascual MA; Graupera B; Aubá M; Errasti T; Olartecoechea B; Ruiz-Zambrana A; Hereter L; Ajossa S; Guerriero S
Ultrasound Obstet Gynecol; 2016 Sep; 48(3):397-402. PubMed ID: 26748432
[TBL] [Abstract][Full Text] [Related]
13. Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis.
Kaijser J; Sayasneh A; Van Hoorde K; Ghaem-Maghami S; Bourne T; Timmerman D; Van Calster B
Hum Reprod Update; 2014; 20(3):449-62. PubMed ID: 24327552
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic Performance of Ultrasonography-Based Risk Models in Differentiating Between Benign and Malignant Ovarian Tumors in a US Cohort.
Yoeli-Bik R; Longman RE; Wroblewski K; Weigert M; Abramowicz JS; Lengyel E
JAMA Netw Open; 2023 Jul; 6(7):e2323289. PubMed ID: 37440228
[TBL] [Abstract][Full Text] [Related]
15. Prospective evaluation of IOTA logistic regression models LR1 and LR2 in comparison with subjective pattern recognition for diagnosis of ovarian cancer in an outpatient setting.
Nunes N; Ambler G; Foo X; Widschwendter M; Jurkovic D
Ultrasound Obstet Gynecol; 2018 Jun; 51(6):829-835. PubMed ID: 28976616
[TBL] [Abstract][Full Text] [Related]
16. Comparison of the diagnostic accuracy of International Ovarian Tumor Analysis simple rules and the risk of malignancy index to discriminate between benign and malignant adnexal masses.
Auekitrungrueng R; Tinnangwattana D; Tantipalakorn C; Charoenratana C; Lerthiranwong T; Wanapirak C; Tongsong T
Int J Gynaecol Obstet; 2019 Sep; 146(3):364-369. PubMed ID: 31206642
[TBL] [Abstract][Full Text] [Related]
17. Prospective evaluation of the IOTA logistic regression model LR2 for the diagnosis of ovarian cancer.
Nunes N; Yazbek J; Ambler G; Hoo W; Naftalin J; Jurkovic D
Ultrasound Obstet Gynecol; 2012 Sep; 40(3):355-9. PubMed ID: 22223587
[TBL] [Abstract][Full Text] [Related]
18. Intra- and interobserver agreement when describing adnexal masses using the International Ovarian Tumor Analysis terms and definitions: a study on three-dimensional ultrasound volumes.
Sladkevicius P; Valentin L
Ultrasound Obstet Gynecol; 2013 Mar; 41(3):318-27. PubMed ID: 22915506
[TBL] [Abstract][Full Text] [Related]
19. Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group.
Timmerman D; Van Calster B; Testa AC; Guerriero S; Fischerova D; Lissoni AA; Van Holsbeke C; Fruscio R; Czekierdowski A; Jurkovic D; Savelli L; Vergote I; Bourne T; Van Huffel S; Valentin L
Ultrasound Obstet Gynecol; 2010 Aug; 36(2):226-34. PubMed ID: 20455203
[TBL] [Abstract][Full Text] [Related]
20. Two-Step Strategy for Optimizing the Preoperative Classification of Adnexal Masses in a University Hospital, Using International Ovarian Tumor Analysis Models: Simple Rules and Assessment of Different NEoplasias in the adneXa Model.
Esquivel Villabona AL; Rodríguez JN; Ayala N; Buriticá C; Gómez AC; Velandia AM; Rodríguez N; Alcázar JL
J Ultrasound Med; 2022 Feb; 41(2):471-482. PubMed ID: 33890698
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]