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Results: 1 to 20 of 169

Similar articles for PubMed (Select 23849390)

1.

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. doi: 10.1016/j.ultrasmedbio.2013.04.003. Epub 2013 Jul 9.

PMID:
23849390
2.

Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations.

Wang HY, Jiang YX, Zhu QL, Zhang J, Dai Q, Liu H, Lai XJ, Sun Q.

Eur J Radiol. 2012 Nov;81(11):3190-200. doi: 10.1016/j.ejrad.2012.01.034. Epub 2012 Mar 3.

PMID:
22386134
3.

Analysis of eighty-one cases with breast lesions using automated breast volume scanner and comparison with handheld ultrasound.

Lin X, Wang J, Han F, Fu J, Li A.

Eur J Radiol. 2012 May;81(5):873-8. doi: 10.1016/j.ejrad.2011.02.038. Epub 2011 Mar 21.

PMID:
21420814
4.

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. doi: 10.1016/j.ejrad.2013.03.005. Epub 2013 Mar 27.

PMID:
23540947
5.

Accuracy of an automated breast volume ultrasound system for assessment of the pre-operative extent of pure ductal carcinoma in situ: comparison with a conventional handheld ultrasound examination.

Li N, Jiang YX, Zhu QL, Zhang J, Dai Q, Liu H, Yang Q, Wang HY, Lai XJ, Sun Q.

Ultrasound Med Biol. 2013 Dec;39(12):2255-63. doi: 10.1016/j.ultrasmedbio.2013.07.010. Epub 2013 Sep 11.

PMID:
24035630
6.

[Diagnostic value of automated breast volume scanner in high-risk and small breast lesions].

Su KL, Xu HB, Zhang ZX, Pan N, He JL, Hu ZJ, Yang OO, Luo H, Yang HF, Liu LL.

Zhonghua Zhong Liu Za Zhi. 2013 Sep;35(9):703-7. Chinese.

PMID:
24332060
7.

Interobserver agreement for sonograms of breast lesions obtained by an automated breast volume scanner.

Zhang J, Lai XJ, Zhu QL, Wang HY, Jiang YX, Liu H, Dai Q, You SS, Xiao MS, Sun Q.

Eur J Radiol. 2012 Sep;81(9):2179-83. doi: 10.1016/j.ejrad.2011.06.043. Epub 2011 Jul 2.

PMID:
21724355
8.

Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS).

Wojcinski S, Gyapong S, Farrokh A, Soergel P, Hillemanns P, Degenhardt F.

BMC Med Imaging. 2013 Nov 12;13:36. doi: 10.1186/1471-2342-13-36.

9.

Classification of breast tumors using elastographic and B-mode features: comparison of automatic selection of representative slice and physician-selected slice of images.

Moon WK, Chang SC, Chang JM, Cho N, Huang CS, Kuo JW, Chang RF.

Ultrasound Med Biol. 2013 Jul;39(7):1147-57. doi: 10.1016/j.ultrasmedbio.2013.01.017. Epub 2013 Apr 3.

PMID:
23562018
10.

A novel application of the Automated Breast Volume Scanner (ABVS) in the diagnosis of soft tissue tumors.

Chen T, Gao H, Guo W, Qing X, Gao K, Yu J, Deng Y.

Clin Imaging. 2015 May-Jun;39(3):401-7. doi: 10.1016/j.clinimag.2015.01.005. Epub 2015 Jan 14.

PMID:
25667066
11.

Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images.

Moon WK, Shen YW, Huang CS, Chiang LR, Chang RF.

Ultrasound Med Biol. 2011 Apr;37(4):539-48. doi: 10.1016/j.ultrasmedbio.2011.01.006.

PMID:
21420580
12.

Diagnostic value of an automated breast volume scanner for abdominal hernias.

Diao X, Chen Y, Qiu Z, Pang Y, Zhan J, Chen L.

J Ultrasound Med. 2014 Jan;33(1):39-46. doi: 10.7863/ultra.33.1.39.

13.

Computerized characterization of breast masses on three-dimensional ultrasound volumes.

Sahiner B, Chan HP, Roubidoux MA, Helvie MA, Hadjiiski LM, Ramachandran A, Paramagul C, LeCarpentier GL, Nees A, Blane C.

Med Phys. 2004 Apr;31(4):744-54.

PMID:
15124991
14.

Detectability of breast lesions under the nipple using an automated breast volume scanner: comparison with handheld ultrasonography.

Isobe S, Tozaki M, Yamaguchi M, Ogawa Y, Homma K, Satomi R, Saito M, Joo C, Fukuma E.

Jpn J Radiol. 2011 Jun;29(5):361-5. doi: 10.1007/s11604-010-0555-5. Epub 2011 Jun 30.

PMID:
21717306
15.

Differentiation of benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional shear-wave elastography.

Lee SH, Chang JM, Kim WH, Bae MS, Cho N, Yi A, Koo HR, Kim SJ, Kim JY, Moon WK.

Eur Radiol. 2013 Apr;23(4):1015-26. doi: 10.1007/s00330-012-2686-9. Epub 2012 Oct 20.

PMID:
23085867
16.

Semi-quantitative and qualitative assessment of breast ultrasound elastography in differentiating between malignant and benign lesions.

Alhabshi SM, Rahmat K, Abdul Halim N, Aziz S, Radhika S, Gan GC, Vijayananthan A, Westerhout CJ, Mohd-Shah MN, Jaszle S, Harlina Mohd Latar N, Muhammad R.

Ultrasound Med Biol. 2013 Apr;39(4):568-78. doi: 10.1016/j.ultrasmedbio.2012.10.016. Epub 2013 Feb 4.

PMID:
23384468
17.

Comparison of automated breast volume scanning to hand-held ultrasound and mammography.

Wang ZL, Xu JH, Li JL, Huang Y, Tang J.

Radiol Med. 2012 Dec;117(8):1287-93. doi: 10.1007/s11547-012-0836-4. Epub 2012 Jun 28. Erratum in: Radiol Med. 2012 Dec;117(8):1443. Xw, Jian Hong [corrected to Xu, Jian Hong].

PMID:
22744341
18.

Sonoelastographic strain index for differentiation of benign and malignant nonpalpable breast masses.

Cho N, Moon WK, Kim HY, Chang JM, Park SH, Lyou CY.

J Ultrasound Med. 2010 Jan;29(1):1-7.

19.

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. doi: 10.2214/AJR.13.11693.

PMID:
25148191
20.

Differentiating between malignant and benign breast masses: factors limiting sonoelastographic strain ratio.

Stachs A, Hartmann S, Stubert J, Dieterich M, Martin A, Kundt G, Reimer T, Gerber B.

Ultraschall Med. 2013 Apr;34(2):131-6. doi: 10.1055/s-0032-1313168. Epub 2012 Oct 29.

PMID:
23108926
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