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  Gynecology

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Articles published in Radiology

Retrieve available abstracts of 21 articles:
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Single Articles


    April 2024
  1. YOUNG SW, Jha P, Chamie L, Rodgers S, et al
    Society of Radiologists in Ultrasound Consensus on Routine Pelvic US for Endometriosis.
    Radiology. 2024;311:e232191.
    PubMed     Abstract available


    January 2024
  2. WEI C, Dong J
    Dual-Energy CT Reveals Giant Lipoleiomyoma Arising from Uterine Serosa.
    Radiology. 2024;310:e232006.
    PubMed    


    October 2023
  3. AVILES VERDERA J, Story L, Hall M, Finck T, et al
    Reliability and Feasibility of Low-Field-Strength Fetal MRI at 0.55 T during Pregnancy.
    Radiology. 2023;309:e223050.
    PubMed     Abstract available


    September 2023
  4. STRACHOWSKI LM, Jha P, Phillips CH, Blanchette Porter MM, et al
    O-RADS US v2022: An Update from the American College of Radiology's Ovarian-Adnexal Reporting and Data System US Committee.
    Radiology. 2023;308:e230685.
    PubMed     Abstract available


    May 2023
  5. SADOWSKI EA, Rockall A, Thomassin-Naggara I, Barroilhet LM, et al
    Adnexal Lesion Imaging: Past, Present, and Future.
    Radiology. 2023 May 9:223281. doi: 10.1148/radiol.223281.
    PubMed     Abstract available


    February 2023
  6. XU L, Wood PA, Grenier RE
    Pregnant Pause...Having a Baby during Radiology Residency.
    Radiology. 2023 Feb 14:221107. doi: 10.1148/radiol.221107.
    PubMed    


    January 2023
  7. JONES BC, Lee H, Cheng CC, Al Mukaddam M, et al
    MRI Quantification of Cortical Bone Porosity, Mineralization, and Morphologic Structure in Postmenopausal Osteoporosis.
    Radiology. 2023 Jan 24:221810. doi: 10.1148/radiol.221810.
    PubMed     Abstract available


    December 2022
  8. WU G, Liu G, Wang J, Pan S, et al
    MR Spectroscopy for Detecting Fumarate Hydratase Deficiency in Hereditary Leiomyomatosis and Renal Cell Carcinoma Syndrome.
    Radiology. 2022;305:631-639.
    PubMed     Abstract available


    November 2022
  9. LEE SI, Kang SK
    MRI Improves the Characterization of Incidental Adnexal Masses Detected at Sonography.
    Radiology. 2022 Nov 22:222866. doi: 10.1148/radiol.222866.
    PubMed    


  10. RIZZO S, Cozzi A, Dolciami M, Del Grande F, et al
    O-RADS MRI: A Systematic Review and Meta-Analysis of Diagnostic Performance and Category-wise Malignancy Rates.
    Radiology. 2022 Nov 22:220795. doi: 10.1148/radiol.220795.
    PubMed     Abstract available


    October 2022
  11. XU L, Jin Z
    Interrupted Aortic Arch Identified during Pregnancy.
    Radiology. 2022 Oct 4:220721. doi: 10.1148/radiol.220721.
    PubMed     Abstract available


  12. HINDMAN N, Kang S, Fournier L, Lakhman Y, et al
    MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement.
    Radiology. 2022 Oct 4:211658. doi: 10.1148/radiol.211658.
    PubMed     Abstract available


    July 2022
  13. KIDO A, Nishio M
    MRI-based Radiomics Models for Pretreatment Risk Stratification of Endometrial Cancer.
    Radiology. 2022 Jul 12:221398. doi: 10.1148/radiol.221398.
    PubMed    


  14. LEFEBVRE TL, Ueno Y, Dohan A, Chatterjee A, et al
    Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.
    Radiology. 2022 Jul 12:212873. doi: 10.1148/radiol.212873.
    PubMed     Abstract available


  15. HACK K, Gandhi N, Bouchard-Fortier G, Chawla TP, et al
    External Validation of O-RADS US Risk Stratification and Management System.
    Radiology. 2022;304:114-120.
    PubMed     Abstract available


    June 2022
  16. BAUMGARTEN DA
    A Simplified Approach to Adnexal Lesions May Be Enough.
    Radiology. 2022;303:611-612.
    PubMed    


    May 2022
  17. FERNANDES MC, Nikolovski I, Long Roche K, Lakhman Y, et al
    CT of Ovarian Cancer for Primary Treatment Planning: What the Surgeon Needs to Know-Radiology In Training.
    Radiology. 2022 May 24:212737. doi: 10.1148/radiol.212737.
    PubMed     Abstract available


    April 2022
  18. CHEN H, Yang BW, Qian L, Meng YS, et al
    Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment.
    Radiology. 2022 Apr 12:211367. doi: 10.1148/radiol.211367.
    PubMed     Abstract available


    March 2022
  19. GUPTA A, Jha P, Baran TM, Maturen KE, et al
    Ovarian Cancer Detection in Average-Risk Women: Classic- versus Nonclassic-appearing Adnexal Lesions at US.
    Radiology. 2022 Mar 22:212338. doi: 10.1148/radiol.212338.
    PubMed     Abstract available


  20. WENGERT GJ, Dabi Y, Kermarrec E, Jalaguier-Coudray A, et al
    O-RADS MRI Classification of Indeterminate Adnexal Lesions: Time-Intensity Curve Analysis Is Better Than Visual Assessment.
    Radiology. 2022 Mar 1:210342. doi: 10.1148/radiol.210342.
    PubMed     Abstract available


    January 2022
  21. SADOWSKI EA, Thomassin-Naggara I, Rockall A, Maturen KE, et al
    O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee.
    Radiology. 2022 Jan 18:204371. doi: 10.1148/radiol.204371.
    PubMed     Abstract available


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