116 related articles for article (PubMed ID: 38323467)
21. Quantitative Multiparametric Breast Ultrasound: Application of Contrast-Enhanced Ultrasound and Elastography Leads to an Improved Differentiation of Benign and Malignant Lesions.
Kapetas P; Clauser P; Woitek R; Wengert GJ; Lazar M; Pinker K; Helbich TH; Baltzer PAT
Invest Radiol; 2019 May; 54(5):257-264. PubMed ID: 30632985
[TBL] [Abstract][Full Text] [Related]
22. B-Mode Ultrasound Combined with Color Doppler and Strain Elastography in the Diagnosis of Non-mass Breast Lesions: A Prospective Study.
Li L; Zhou X; Zhao X; Hao S; Yao J; Zhong W; Zhi H
Ultrasound Med Biol; 2017 Nov; 43(11):2582-2590. PubMed ID: 28844465
[TBL] [Abstract][Full Text] [Related]
23. The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria.
Zhang F; Jin L; Li G; Jia C; Shi Q; Du L; Wu R
Br J Radiol; 2021 Apr; 94(1120):20200880. PubMed ID: 33560894
[TBL] [Abstract][Full Text] [Related]
24. A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.
Park HJ; Kim SM; La Yun B; Jang M; Kim B; Jang JY; Lee JY; Lee SH
Medicine (Baltimore); 2019 Jan; 98(3):e14146. PubMed ID: 30653149
[TBL] [Abstract][Full Text] [Related]
25. Quantitative evaluation of peripheral tissue elasticity for ultrasound-detected breast lesions.
Xiao Y; Yu Y; Niu L; Qian M; Deng Z; Qiu W; Zheng H
Clin Radiol; 2016 Sep; 71(9):896-904. PubMed ID: 27349474
[TBL] [Abstract][Full Text] [Related]
26. Evaluation of the effect of computer aided diagnosis system on breast ultrasound for inexperienced radiologists in describing and determining breast lesions.
Lee J; Kim S; Kang BJ; Kim SH; Park GE
Med Ultrason; 2019 Aug; 21(3):239-245. PubMed ID: 31476202
[TBL] [Abstract][Full Text] [Related]
27. Breast mass characterization using 3-dimensional automated ultrasound as an adjunct to digital breast tomosynthesis: a pilot study.
Padilla F; Roubidoux MA; Paramagul C; Sinha SP; Goodsitt MM; Le Carpentier GL; Chan HP; Hadjiiski LM; Fowlkes JB; Joe AD; Klein KA; Nees AV; Noroozian M; Patterson SK; Pinsky RW; Hooi FM; Carson PL
J Ultrasound Med; 2013 Jan; 32(1):93-104. PubMed ID: 23269714
[TBL] [Abstract][Full Text] [Related]
28. Benefit of digital breast tomosynthesis in symptomatic young women (≤30 years) diagnosed with BI-RADS category 4 or 5 on ultrasound.
Huang JL; Lin Q
Clin Radiol; 2022 Jan; 77(1):e55-e63. PubMed ID: 34763818
[TBL] [Abstract][Full Text] [Related]
29. Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study.
Skaane P; Gullien R; Eben EB; Sandhaug M; Schulz-Wendtland R; Stoeblen F
Acta Radiol; 2015 Apr; 56(4):404-12. PubMed ID: 24682405
[TBL] [Abstract][Full Text] [Related]
30. Comparison of strain and acoustic radiation force impulse elastography of breast lesions by qualitative evaluation.
Zhao Q; Wang XL; Sun JW; Jiang ZP; Tao L; Zhou XL
Clin Hemorheol Microcirc; 2018; 70(1):39-50. PubMed ID: 29660916
[TBL] [Abstract][Full Text] [Related]
31. What Help Could Ultrasound Elastography Give to the Diagnosis of Breast Papillary Lesions?
Li LJ; Yao JY; Zhou XC; Zhao XB; Zhong WJ; Ou B; Luo BM; Hao SY; Zhi H
Ultrasound Med Biol; 2017 May; 43(5):903-910. PubMed ID: 28256344
[TBL] [Abstract][Full Text] [Related]
32. Usefulness of combined BI-RADS analysis and Nakagami statistics of ultrasound echoes in the diagnosis of breast lesions.
Dobruch-Sobczak K; Piotrzkowska-Wróblewska H; Roszkowska-Purska K; Nowicki A; Jakubowski W
Clin Radiol; 2017 Apr; 72(4):339.e7-339.e15. PubMed ID: 28038779
[TBL] [Abstract][Full Text] [Related]
33. Comparison and Combination of Strain and Shear Wave Elastography of Breast Masses for Differentiation of Benign and Malignant Lesions by Quantitative Assessment: Preliminary Study.
Seo M; Ahn HS; Park SH; Lee JB; Choi BI; Sohn YM; Shin SY
J Ultrasound Med; 2018 Jan; 37(1):99-109. PubMed ID: 28688156
[TBL] [Abstract][Full Text] [Related]
34. A set of shear wave elastography quantitative parameters combined with ultrasound BI-RADS to assess benign and malignant breast lesions.
Shi XQ; Li JL; Wan WB; Huang Y
Ultrasound Med Biol; 2015 Apr; 41(4):960-6. PubMed ID: 25701532
[TBL] [Abstract][Full Text] [Related]
35. Deep Learning-Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise.
He P; Chen W; Bai MY; Li J; Wang QQ; Fan LH; Zheng J; Liu CT; Zhang XR; Yuan XR; Song PJ; Cui LG
AJR Am J Roentgenol; 2023 Oct; 221(4):450-459. PubMed ID: 37222275
[No Abstract] [Full Text] [Related]
36. Adding a Model-free Diffusion MRI Marker to BI-RADS Assessment Improves Specificity for Diagnosing Breast Lesions.
Goto M; Le Bihan D; Yoshida M; Sakai K; Yamada K
Radiology; 2019 Jul; 292(1):84-93. PubMed ID: 31112086
[TBL] [Abstract][Full Text] [Related]
37. Ultrasound Elastography Combined With BI-RADS-US Classification System: Is It Helpful for the Diagnostic Performance of Conventional Ultrasonography?
Hao SY; Jiang QC; Zhong WJ; Zhao XB; Yao JY; Li LJ; Luo BM; Ou B; Zhi H
Clin Breast Cancer; 2016 Jun; 16(3):e33-41. PubMed ID: 26639065
[TBL] [Abstract][Full Text] [Related]
38. Combination of Quantitative Parameters of Shear Wave Elastography and Superb Microvascular Imaging to Evaluate Breast Masses.
Lee EJ; Chang YW
Korean J Radiol; 2020 Sep; 21(9):1045-1054. PubMed ID: 32691540
[TBL] [Abstract][Full Text] [Related]
39. Value of Virtual Touch Tissue Imaging Quantification for Evaluation of Ultrasound Breast Imaging-Reporting and Data System Category 4 Lesions.
Li XL; Xu HX; Bo XW; Liu BJ; Huang X; Li DD; Guo LH; Xu JM; Sun LP; Fang L; Xu XH
Ultrasound Med Biol; 2016 Sep; 42(9):2050-7. PubMed ID: 27174418
[TBL] [Abstract][Full Text] [Related]
40. Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses.
Chen L; Chen Y; Diao XH; Fang L; Pang Y; Cheng AQ; Li WP; Wang Y
Ultrasound Med Biol; 2013 Oct; 39(10):1735-42. PubMed ID: 23849390
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]