These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
320 related articles for article (PubMed ID: 31102067)
41. Virtual touch tissue quantification using acoustic radiation force impulse technology: initial clinical experience with solid breast masses. Bai M; Du L; Gu J; Li F; Jia X J Ultrasound Med; 2012 Feb; 31(2):289-94. PubMed ID: 22298873 [TBL] [Abstract][Full Text] [Related]
42. Acoustic radiation force impulse elastography of breast imaging reporting and data system category 4 breast lesions. Jin ZQ; Li XR; Zhou HL; Chen JX; Huang X; Dai HX; Li JW; Chen XD; Xu XH Clin Breast Cancer; 2012 Dec; 12(6):420-7. PubMed ID: 22999914 [TBL] [Abstract][Full Text] [Related]
43. Application of contrast-enhanced ultrasound in the diagnosis of small breast lesions. Du YR; Wu Y; Chen M; Gu XG Clin Hemorheol Microcirc; 2018; 70(3):291-300. PubMed ID: 29710688 [TBL] [Abstract][Full Text] [Related]
44. Virtual Touch Tissue Imaging and Quantification (VTIQ) combined with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for malignancy risk stratification of thyroid nodules. Li X; Hou XJ; Du LY; Wu JQ; Wang L; Wang H; Zhou XL Clin Hemorheol Microcirc; 2019; 72(3):279-291. PubMed ID: 30856102 [TBL] [Abstract][Full Text] [Related]
45. Comparison of the diagnostic value of virtual touch tissue quantification and virtual touch tissue imaging quantification in infants with biliary atresia. Liu YF; Ni XW; Pan Y; Luo HX Int J Clin Pract; 2021 Apr; 75(4):e13860. PubMed ID: 33236451 [TBL] [Abstract][Full Text] [Related]
46. 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]
47. The value of automated breast volume scanner combined with virtual touch tissue quantification in the differential diagnosis of benign and malignant breast lesions: A comparative study with mammography. Wang J; Fan H; Zhu Y; Shen C; Qiang B Medicine (Baltimore); 2021 Apr; 100(16):e25568. PubMed ID: 33879713 [TBL] [Abstract][Full Text] [Related]
48. Can measuring perilesional tissue stiffness and stiff rim sign improve the diagnostic performance between benign and malignant breast lesions? Kong WT; Wang Y; Zhou WJ; Zhang YD; Wang WP; Zhuang XM; Wu M J Med Ultrason (2001); 2021 Jan; 48(1):53-61. PubMed ID: 33439373 [TBL] [Abstract][Full Text] [Related]
49. Prospective evaluation of contrast-enhanced ultrasound of breast BI-RADS 3-5 lesions. Janu E; Krikavova L; Little J; Dvorak K; Brancikova D; Jandakova E; Pavlik T; Kovalcikova P; Kazda T; Valek V BMC Med Imaging; 2020 Jun; 20(1):66. PubMed ID: 32552678 [TBL] [Abstract][Full Text] [Related]
50. A Simple Ultrasound Based Classification Algorithm Allows Differentiation of Benign from Malignant Breast Lesions by Using Only Quantitative Parameters. Kapetas P; Woitek R; Clauser P; Bernathova M; Pinker K; Helbich TH; Baltzer PA Mol Imaging Biol; 2018 Dec; 20(6):1053-1060. PubMed ID: 29633108 [TBL] [Abstract][Full Text] [Related]
51. Differential diagnosis of idiopathic granulomatous mastitis and breast cancer using acoustic radiation force impulse imaging. Teke M; Teke F; Alan B; Türkoğlu A; Hamidi C; Göya C; Hattapoğlu S; Gumus M J Med Ultrason (2001); 2017 Jan; 44(1):109-115. PubMed ID: 27787642 [TBL] [Abstract][Full Text] [Related]
52. Integrating the incident angle of main vessel of breast nodule with BI-RADS can improve the efficacy of breast malignancy evaluation. Chen K; Wu S Sci Rep; 2024 Sep; 14(1):20783. PubMed ID: 39242652 [TBL] [Abstract][Full Text] [Related]
53. Diagnosis of sub-centimetre breast lesions: combining BI-RADS-US with strain elastography and contrast-enhanced ultrasound-a preliminary study in China. Xiao X; Jiang Q; Wu H; Guan X; Qin W; Luo B Eur Radiol; 2017 Jun; 27(6):2443-2450. PubMed ID: 27761708 [TBL] [Abstract][Full Text] [Related]
54. Diagnostic performance of quantitative shear wave elastography in the evaluation of solid breast masses: determination of the most discriminatory parameter. Au FW; Ghai S; Moshonov H; Kahn H; Brennan C; Dua H; Crystal P AJR Am J Roentgenol; 2014 Sep; 203(3):W328-36. PubMed ID: 25148191 [TBL] [Abstract][Full Text] [Related]
55. Application of S-detect combined with virtual touch imaging quantification in ultrasound for diagnosis of breast mass. Liu M; He F; Xiao J Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1089-1098. PubMed ID: 36097777 [TBL] [Abstract][Full Text] [Related]
56. Can strain elastography combined with ultrasound breast imaging reporting and data system be a more effective method in the differentiation of benign and malignant breast lesions? Arslan S; Uslu N; Ozturk FU; Akcay EY; Tezcaner T; Agildere AM J Med Ultrason (2001); 2017 Oct; 44(4):289-296. PubMed ID: 28154989 [TBL] [Abstract][Full Text] [Related]
57. Virtual touch tissue imaging quantification shear wave elastography for determining benign versus malignant cervical lymph nodes: a comparison with conventional ultrasound. Kılıç A; Çolakoğlu Er H Diagn Interv Radiol; 2019 Mar; 25(2):114-121. PubMed ID: 30774094 [TBL] [Abstract][Full Text] [Related]
58. Color-map virtual touch tissue imaging (CMV) combined with BI-RADS for the diagnosis of breast lesions. Lian KM; Lin T J Xray Sci Technol; 2022; 30(3):447-457. PubMed ID: 35147574 [TBL] [Abstract][Full Text] [Related]
59. Utilizing size-based thresholds of stiffness gradient to reclassify BI-RADS category 3-4b lesions increases diagnostic performance. Shang J; Ruan LT; Wang YY; Zhang XJ; Dang Y; Liu B; Wang WL; Song Y; Chang SJ Clin Radiol; 2019 Apr; 74(4):306-313. PubMed ID: 30755314 [TBL] [Abstract][Full Text] [Related]
60. 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] [Previous] [Next] [New Search]