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360 related items for PubMed ID: 30293391
1. [The value of ultrasound classification in BI-RADS category 4 of breast complex cystic masses]. Yao JP, Niu LJ, Wang Y, Geng CY, Chang Q, Chen Y, Zhu L. Zhonghua Zhong Liu Za Zhi; 2018 Sep 23; 40(9):672-675. PubMed ID: 30293391 [Abstract] [Full Text] [Related]
2. Influence of age on PPV of sonographic BI-RADS categories 3, 4, and 5. Fu CY, Hsu HH, Yu JC, Hsu GC, Hsu KF, Chan DC, Ku CH, Lu TC, Chu CH. Ultraschall Med; 2011 Jan 23; 32 Suppl 1():S8-13. PubMed ID: 20603785 [Abstract] [Full Text] [Related]
3. Assessment of Diagnostic Accuracy and Efficiency of Categories 4 and 5 of the Second Edition of the BI-RADS Ultrasound Lexicon in Diagnosing Breast Lesions. Zou X, Wang J, Lan X, Lin Q, Han F, Liu L, Li A. Ultrasound Med Biol; 2016 Sep 23; 42(9):2065-71. PubMed ID: 27262521 [Abstract] [Full Text] [Related]
4. The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China. Gu Y, Tian JW, Ran HT, Ren WD, Chang C, Yuan JJ, Kang CS, Deng YB, Wang H, Luo BM, Guo SL, Zhou Q, Xue ES, Zhan WW, Zhou Q, Li J, Zhou P, Zhang CQ, Chen M, Gu Y, Xu JF, Chen W, Zhang YH, Wang HQ, Li JC, Wang HY, Jiang YX. Acad Radiol; 2022 Jan 23; 29 Suppl 1():S26-S34. PubMed ID: 32768352 [Abstract] [Full Text] [Related]
5. Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study. Stavros AT, Freitas AG, deMello GGN, Barke L, McDonald D, Kaske T, Wolverton D, Honick A, Stanzani D, Padovan AH, Moura APC, de Campos MCV. Eur Radiol; 2017 Oct 23; 27(10):4307-4315. PubMed ID: 28396996 [Abstract] [Full Text] [Related]
6. Complex cystic lesions of the breast on ultrasonography: feature analysis and BI-RADS assessment. Hsu HH, Yu JC, Lee HS, Lin WC, Chang WC, Tung HJ, Huang GS, Hsu GC. Eur J Radiol; 2011 Jul 23; 79(1):73-9. PubMed ID: 20116191 [Abstract] [Full Text] [Related]
7. Diagnostic value of breast ultrasound in mammography BI-RADS 0 and clinically indeterminate or suspicious of malignancy breast lesions. Dobrosavljević A, Rakić S, Nikoli B, Raznatović SJ, Dikić SD, Milosević Z, Jurisić A, Skrobić M. Vojnosanit Pregl; 2016 Mar 23; 73(3):239-45. PubMed ID: 27295907 [Abstract] [Full Text] [Related]
8. Automated Breast Volume Scanning: Identifying 3-D Coronal Plane Imaging Features May Help Categorize Complex Cysts. Wang HY, Jiang YX, Zhu QL, Zhang J, Xiao MS, Liu H, Dai Q, Li JC, Sun Q. Ultrasound Med Biol; 2016 Mar 23; 42(3):689-98. PubMed ID: 26742895 [Abstract] [Full Text] [Related]
9. Accuracy of classification of breast ultrasound findings based on criteria used for BI-RADS. Heinig J, Witteler R, Schmitz R, Kiesel L, Steinhard J. Ultrasound Obstet Gynecol; 2008 Sep 23; 32(4):573-8. PubMed ID: 18421795 [Abstract] [Full Text] [Related]
10. Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation. Elverici E, Barça AN, Aktaş H, Özsoy A, Zengin B, Çavuşoğlu M, Araz L. Diagn Interv Radiol; 2015 Sep 23; 21(3):189-94. PubMed ID: 25835079 [Abstract] [Full Text] [Related]
11. Downgrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study. Neuschler EI, Lavin PT, Tucker FL, Barke LD, Bertrand ML, Böhm-Vélez M, Destounis S, Dogan BE, Grobmyer SR, Katzen J, Kist KA, Makariou EV, Parris TM, Young CA, Butler R. AJR Am J Roentgenol; 2018 Sep 23; 211(3):689-700. PubMed ID: 29975115 [Abstract] [Full Text] [Related]
12. Does power Doppler ultrasonography improve the BI-RADS category assessment and diagnostic accuracy of solid breast lesions? Tozaki M, Fukuma E. Acta Radiol; 2011 Sep 01; 52(7):706-10. PubMed ID: 21596798 [Abstract] [Full Text] [Related]
13. Correlation of ultrasound, cytological, and histological features of 110 benign BI-RADS categories 4C and 5 nonpalpable breast lesions. The Institut Curie's experience. Farras Roca JA, Tardivon A, Thibault F, Rouzier R, Klijanienko J. Cancer Cytopathol; 2021 Jun 01; 129(6):479-488. PubMed ID: 33689204 [Abstract] [Full Text] [Related]
14. Non-mass-like breast lesions at ultrasonography: feature analysis and BI-RADS assessment. Ko KH, Hsu HH, Yu JC, Peng YJ, Tung HJ, Chu CM, Chang TH, Chang WC, Wu YC, Lin YP, Hsu GC. Eur J Radiol; 2015 Jan 01; 84(1):77-85. PubMed ID: 25455412 [Abstract] [Full Text] [Related]
15. Value of Ultrasonographic Features for Assessing Malignant Potential of Complex Cystic Breast Lesions. Yao JP, Hao YZ, Chang Q, Geng CY, Chen Y, Zhao WP, Song Y, Zhou X. J Ultrasound Med; 2017 Apr 01; 36(4):699-704. PubMed ID: 28109002 [Abstract] [Full Text] [Related]
16. BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS. Radiology; 2006 May 01; 239(2):385-91. PubMed ID: 16569780 [Abstract] [Full Text] [Related]
17. Downgrading of Breast Masses Suspicious for Cancer by Using Optoacoustic Breast Imaging. Menezes GLG, Pijnappel RM, Meeuwis C, Bisschops R, Veltman J, Lavin PT, van de Vijver MJ, Mann RM. Radiology; 2018 Aug 01; 288(2):355-365. PubMed ID: 29664342 [Abstract] [Full Text] [Related]
18. Simple rules for ultrasonographic subcategorization of BI-RADS®-US 4 breast masses. Jales RM, Sarian LO, Torresan R, Marussi EF, Alvares BR, Derchain S. Eur J Radiol; 2013 Aug 01; 82(8):1231-5. PubMed ID: 23540948 [Abstract] [Full Text] [Related]
20. Differential Diagnosis of Breast Category 3 and 4 Nodules Through BI-RADS Classification in Conjunction with Shear Wave Elastography. Wang M, Yang Z, Liu C, Yan J, Zhang W, Sun J, Cui G. Ultrasound Med Biol; 2017 Mar 01; 43(3):601-606. PubMed ID: 27988221 [Abstract] [Full Text] [Related] Page: [Next] [New Search]