149 related articles for article (PubMed ID: 16861534)
1. High-spatial-resolution MRI of non-masslike breast lesions: interpretation model based on BI-RADS MRI descriptors.
Tozaki M; Fukuda K
AJR Am J Roentgenol; 2006 Aug; 187(2):330-7. PubMed ID: 16861534
[TBL] [Abstract][Full Text] [Related]
2. Breast MRI using the VIBE sequence: clustered ring enhancement in the differential diagnosis of lesions showing non-masslike enhancement.
Tozaki M; Igarashi T; Fukuda K
AJR Am J Roentgenol; 2006 Aug; 187(2):313-21. PubMed ID: 16861532
[TBL] [Abstract][Full Text] [Related]
3. Categorization of non-mass-like breast lesions detected by MRI.
Sakamoto N; Tozaki M; Higa K; Tsunoda Y; Ogawa T; Abe S; Ozaki S; Sakamoto M; Tsuruhara T; Kawano N; Suzuki T; Yamashiro N; Fukuma E
Breast Cancer; 2008; 15(3):241-6. PubMed ID: 18224381
[TBL] [Abstract][Full Text] [Related]
4. Interobserver variability and likelihood of malignancy for fifth edition BI-RADS MRI descriptors in non-mass breast lesions.
Lunkiewicz M; Forte S; Freiwald B; Singer G; Leo C; Kubik-Huch RA
Eur Radiol; 2020 Jan; 30(1):77-86. PubMed ID: 31392476
[TBL] [Abstract][Full Text] [Related]
5. Revisiting Nonmass Enhancement in Breast MRI: Analysis of Outcomes and Follow-Up Using the Updated BI-RADS Atlas.
Chikarmane SA; Michaels AY; Giess CS
AJR Am J Roentgenol; 2017 Nov; 209(5):1178-1184. PubMed ID: 28834447
[TBL] [Abstract][Full Text] [Related]
6. High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: an analysis of their features as significant predictors of malignancy.
Uematsu T; Kasami M
AJR Am J Roentgenol; 2012 May; 198(5):1223-30. PubMed ID: 22528918
[TBL] [Abstract][Full Text] [Related]
7. Positive and negative predictive values of BI-RADS-MRI descriptors for focal breast masses.
Tozaki M; Igarashi T; Fukuda K
Magn Reson Med Sci; 2006 Apr; 5(1):7-15. PubMed ID: 16785722
[TBL] [Abstract][Full Text] [Related]
8. Use of BI-RADS-MRI descriptors for differentiation between mucinous carcinoma and fibroadenoma.
Igarashi T; Ashida H; Morikawa K; Motohashi K; Fukuda K
Eur J Radiol; 2016 Jun; 85(6):1092-8. PubMed ID: 27161057
[TBL] [Abstract][Full Text] [Related]
9. The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy.
Aydin H
Br J Radiol; 2019 Apr; 92(1096):20180464. PubMed ID: 30673299
[TBL] [Abstract][Full Text] [Related]
10. Grading system to categorize breast MRI using BI-RADS 5th edition: a statistical study of non-mass enhancement descriptors in terms of probability of malignancy.
Asada T; Yamada T; Kanemaki Y; Fujiwara K; Okamoto S; Nakajima Y
Jpn J Radiol; 2018 Mar; 36(3):200-208. PubMed ID: 29285740
[TBL] [Abstract][Full Text] [Related]
11. Non mass-like enhancement categories detected by breast MRI and histological findings.
Ballesio L; Di Pastena F; Gigli S; D'ambrosio I; Aceti A; Pontico M; Manganaro L; Porfiri LM; Tardioli S
Eur Rev Med Pharmacol Sci; 2014; 18(6):910-7. PubMed ID: 24706319
[TBL] [Abstract][Full Text] [Related]
12. Can we apply the MRI BI-RADS lexicon morphology descriptors on contrast-enhanced spectral mammography?
Kamal RM; Helal MH; Mansour SM; Haggag MA; Nada OM; Farahat IG; Alieldin NH
Br J Radiol; 2016 Aug; 89(1064):20160157. PubMed ID: 27327403
[TBL] [Abstract][Full Text] [Related]
13. Positive predictive value of BI-RADS MR imaging.
Mahoney MC; Gatsonis C; Hanna L; DeMartini WB; Lehman C
Radiology; 2012 Jul; 264(1):51-8. PubMed ID: 22589320
[TBL] [Abstract][Full Text] [Related]
14. The Value of Lesion Size as an Adjunct to the BI-RADS-MRI 2013 Descriptors in the Diagnosis of Solitary Breast Masses.
Kawai M; Kataoka M; Kanao S; Iima M; Onishi N; Ohashi A; Sakaguchi R; Toi M; Togashi K
Magn Reson Med Sci; 2018 Jul; 17(3):203-210. PubMed ID: 29213007
[TBL] [Abstract][Full Text] [Related]
15. Significance of Additional Non-Mass Enhancement in Patients with Breast Cancer on Preoperative 3T Dynamic Contrast Enhanced MRI of the Breast.
Cho YH; Cho KR; Park EK; Seo BK; Woo OH; Cho SB; Bae JW
Iran J Radiol; 2016 Jan; 13(1):e30909. PubMed ID: 27127579
[TBL] [Abstract][Full Text] [Related]
16. Malignancy rates of non-masslike enhancement on breast magnetic resonance imaging using American College of Radiology Breast Imaging Reporting and Data System descriptors.
Wilhelm A; McDonough MD; DePeri ER
Breast J; 2012; 18(6):523-6. PubMed ID: 23009294
[TBL] [Abstract][Full Text] [Related]
17. Frequency of Malignancy and Imaging Characteristics of Probably Benign Lesions Seen at Breast MRI.
Grimm LJ; Anderson AL; Baker JA; Johnson KS; Walsh R; Yoon SC; Ghate SV
AJR Am J Roentgenol; 2015 Aug; 205(2):442-7. PubMed ID: 26204298
[TBL] [Abstract][Full Text] [Related]
18. BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement.
Gutierrez RL; DeMartini WB; Eby PR; Kurland BF; Peacock S; Lehman CD
AJR Am J Roentgenol; 2009 Oct; 193(4):994-1000. PubMed ID: 19770321
[TBL] [Abstract][Full Text] [Related]
19. Characteristics of Suspicious Breast Lesions Visible Only on MR Imaging: Is It Possible to Classify into Immediate Biopsy and Careful Observation Groups?
Kai R; Tozaki M; Koike Y; Nagata A; Taruno K; Ohgiya Y
Magn Reson Med Sci; 2024 Mar; ():. PubMed ID: 38522915
[TBL] [Abstract][Full Text] [Related]
20. MR features to suggest microinvasive ductal carcinoma of the breast: can it be differentiated from pure DCIS?
Hahn SY; Han BK; Ko EY; Shin JH; Hwang JY; Nam M
Acta Radiol; 2013 Sep; 54(7):742-8. PubMed ID: 23588154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
