Similar articles for PMID: 24920435

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1

Use of IOTA simple rules for diagnosis of ovarian cancer: meta-analysis.

Nunes N, Ambler G, Foo X, Naftalin J, Widschwendter M, Jurkovic D. Nunes N, et al. Ultrasound Obstet Gynecol. 2014 Nov;44(5):503-14. doi: 10.1002/uog.13437. Epub 2014 Oct 13. Ultrasound Obstet Gynecol. 2014. PMID: 24920435 Free article. Review.

2

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. Alcázar JL, et al. Ultrasound Obstet Gynecol. 2016 Sep;48(3):397-402. doi: 10.1002/uog.15854. Ultrasound Obstet Gynecol. 2016. PMID: 26748432 Free article.

3

Diagnostic performance of IOTA simple rules for adnexal masses classification: a comparison between two centers with different ovarian cancer prevalence.

Ruiz de Gauna B, Rodriguez D, Olartecoechea B, Aubá M, Jurado M, Gómez Roig MD, Alcázar JL. Ruiz de Gauna B, et al. Eur J Obstet Gynecol Reprod Biol. 2015 Aug;191:10-4. doi: 10.1016/j.ejogrb.2015.05.024. Epub 2015 May 30. Eur J Obstet Gynecol Reprod Biol. 2015. PMID: 26066289

4

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. Hidalgo JJ, et al. Ultrasound Obstet Gynecol. 2019 May;53(5):693-700. doi: 10.1002/uog.20163. Ultrasound Obstet Gynecol. 2019. PMID: 30353585 Free article.

5

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. Nunes N, et al. Ultrasound Obstet Gynecol. 2018 Jun;51(6):829-835. doi: 10.1002/uog.18918. Epub 2018 Jun 4. Ultrasound Obstet Gynecol. 2018. PMID: 28976616 Free article.

6

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. Di Legge A, et al. Ultrasound Obstet Gynecol. 2012 Sep;40(3):345-54. doi: 10.1002/uog.11167. Epub 2012 Aug 7. Ultrasound Obstet Gynecol. 2012. PMID: 22611001 Free article.

7

The Prospective External Validation of International Ovarian Tumor Analysis (IOTA) Simple Rules in the Hands of Level I and II Examiners.

Knafel A, Banas T, Nocun A, Wiechec M, Jach R, Ludwin A, Kabzinska-Turek M, Pietrus M, Pitynski K. Knafel A, et al. Ultraschall Med. 2016 Oct;37(5):516-523. doi: 10.1055/s-0034-1398773. Epub 2015 Jun 30. Ultraschall Med. 2016. PMID: 26126150 English.

8

[External validation of simple ultrasound rules of Timmerman on 122 ovarian tumors].

Fathallah K, Huchon C, Bats AS, Metzger U, Lefrère-Belda MA, Bensaid C, Lécuru F. Fathallah K, et al. Gynecol Obstet Fertil. 2011 Sep;39(9):477-81. doi: 10.1016/j.gyobfe.2011.05.007. Epub 2011 Aug 5. Gynecol Obstet Fertil. 2011. PMID: 21820936 French.

9

IOTA simple rules for discriminating between benign and malignant adnexal masses: prospective external validation.

Alcázar JL, Pascual MÁ, Olartecoechea B, Graupera B, Aubá M, Ajossa S, Hereter L, Julve R, Gastón B, Peddes C, Sedda F, Piras A, Saba L, Guerriero S. Alcázar JL, et al. Ultrasound Obstet Gynecol. 2013 Oct;42(4):467-71. doi: 10.1002/uog.12485. Epub 2013 Sep 2. Ultrasound Obstet Gynecol. 2013. PMID: 23576304 Free article.

10

Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis.

Meys EM, Kaijser J, Kruitwagen RF, Slangen BF, Van Calster B, Aertgeerts B, Verbakel JY, Timmerman D, Van Gorp T. Meys EM, et al. Eur J Cancer. 2016 May;58:17-29. doi: 10.1016/j.ejca.2016.01.007. Epub 2016 Feb 27. Eur J Cancer. 2016. PMID: 26922169 Review.

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