972 related articles for article (PubMed ID: 18704878)
1. Automated breast ultrasound: lesion detection and BI-RADS classification--a pilot study.
Wenkel E; Heckmann M; Heinrich M; Schwab SA; Uder M; Schulz-Wendtland R; Bautz WA; Janka R
Rofo; 2008 Sep; 180(9):804-8. PubMed ID: 18704878
[TBL] [Abstract][Full Text] [Related]
2. Multicenter study of ultrasound real-time tissue elastography in 779 cases for the assessment of breast lesions: improved diagnostic performance by combining the BI-RADS®-US classification system with sonoelastography.
Wojcinski S; Farrokh A; Weber S; Thomas A; Fischer T; Slowinski T; Schmidt W; Degenhardt F
Ultraschall Med; 2010 Oct; 31(5):484-91. PubMed ID: 20408116
[TBL] [Abstract][Full Text] [Related]
3. 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; 73(3):239-45. PubMed ID: 27295907
[TBL] [Abstract][Full Text] [Related]
4. Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound data.
Chang JM; Moon WK; Cho N; Park JS; Kim SJ
Acta Radiol; 2011 Feb; 52(1):8-14. PubMed ID: 21498319
[TBL] [Abstract][Full Text] [Related]
5. Comparison of 3D-Automated Breast Ultrasound With Handheld Breast Ultrasound Regarding Detection and BI-RADS Characterization of Lesions in Dense Breasts: A Study of 592 Cases.
Güldogan N; Yılmaz E; Arslan A; Küçükkaya F; Atila N; Arıbal E
Acad Radiol; 2022 Aug; 29(8):1143-1148. PubMed ID: 34955365
[TBL] [Abstract][Full Text] [Related]
6. 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; 32 Suppl 1():S8-13. PubMed ID: 20603785
[TBL] [Abstract][Full Text] [Related]
7. Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions.
Jeh SK; Kim SH; Choi JJ; Jung SS; Choe BJ; Park S; Park MS
Acta Radiol; 2016 Feb; 57(2):162-9. PubMed ID: 25766727
[TBL] [Abstract][Full Text] [Related]
8. The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women.
Vourtsis A; Kachulis A
Eur Radiol; 2018 Feb; 28(2):592-601. PubMed ID: 28828640
[TBL] [Abstract][Full Text] [Related]
9. [Automated breast ultrasound vs. handheld ultrasound: BI-RADS classification, duration of the examination and patient comfort].
Prosch H; Halbwachs C; Strobl C; Reisner LM; Hondl M; Weber M; Mostbeck GH
Ultraschall Med; 2011 Oct; 32(5):504-10. PubMed ID: 21630181
[TBL] [Abstract][Full Text] [Related]
10. Typical and unusual sonoelastographic patterns of breast cystic lesions: impact on BI-RADS classification.
Chiorean AR; Duma MM; Dudea SM; Bolboaca S; Dumitriu D; Eniu D; Sfrangeu SA
Ultraschall Med; 2012 Dec; 33(7):E138-E144. PubMed ID: 20972948
[TBL] [Abstract][Full Text] [Related]
11. Fast 3D Near-infrared breast imaging using indocyanine green for detection and characterization of breast lesions.
Schneider P; Piper S; Schmitz CH; Schreiter NF; Volkwein N; Lüdemann L; Malzahn U; Poellinger A
Rofo; 2011 Oct; 183(10):956-63. PubMed ID: 21972043
[TBL] [Abstract][Full Text] [Related]
12. Percutaneous imaging-guided core breast biopsy: 5 years' experience in a community hospital.
Margolin FR; Leung JW; Jacobs RP; Denny SR
AJR Am J Roentgenol; 2001 Sep; 177(3):559-64. PubMed ID: 11517047
[TBL] [Abstract][Full Text] [Related]
13. [Second reading of breast imaging at the hospital department of radiology: reasonable or waste of money?].
Teifke A; Vomweg TW; Hlawatsch A; Nasresfahani A; Kern A; Victor A; Schmidt M; Bittinger F; Düber C
Rofo; 2006 Mar; 178(3):330-6. PubMed ID: 16508842
[TBL] [Abstract][Full Text] [Related]
14. Comparison of conventional and automated breast volume ultrasound in the description and characterization of solid breast masses based on BI-RADS features.
Kim H; Cha JH; Oh HY; Kim HH; Shin HJ; Chae EY
Breast Cancer; 2014 Jul; 21(4):423-8. PubMed ID: 23086698
[TBL] [Abstract][Full Text] [Related]
15. Computer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS).
Shen WC; Chang RF; Moon WK
Ultrasound Med Biol; 2007 Nov; 33(11):1688-98. PubMed ID: 17681678
[TBL] [Abstract][Full Text] [Related]
16. Breast Nonmass Enhancement Detected with MRI: Uility and Lesion Characterization with Second-Look Ultrasonography.
Hsu HH; Chang TH; Chou YC; Peng YJ; Ko KH; Chang WC; Lin YP; Hsu GC; Yu JC
Breast J; 2015; 21(6):579-87. PubMed ID: 26390913
[TBL] [Abstract][Full Text] [Related]
17. Follow-up of B3 breast lesions without residual microcalcifications post vacuum-assisted biopsy, can contrast-enhanced digital mammography help?
Bicchierai G; Nori J; De Benedetto D; Boeri C; Vanzi E; Bianchi S; Kaur Gill M; Cirone D; Miele V
Breast J; 2020 Feb; 26(2):299-302. PubMed ID: 31486197
[No Abstract] [Full Text] [Related]
18. Comparison of Automated Breast Ultrasound and Hand-Held Breast Ultrasound in the Screening of Dense Breasts.
Philadelpho F; Calas MJG; Carneiro GAC; Silveira IC; Vaz ABR; Nogueira AMC; Bergmann A; Lopes FPPL
Rev Bras Ginecol Obstet; 2021 Mar; 43(3):190-199. PubMed ID: 33860502
[TBL] [Abstract][Full Text] [Related]
19. Interobserver reliability of automated breast volume scanner (ABVS) interpretation and agreement of ABVS findings with hand held breast ultrasound (HHUS), mammography and pathology results.
Golatta M; Franz D; Harcos A; Junkermann H; Rauch G; Scharf A; Schuetz F; Sohn C; Heil J
Eur J Radiol; 2013 Aug; 82(8):e332-6. PubMed ID: 23540947
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
