Hoyt A - Search Results

1

Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis Among BI-RADS 4 Cases.

Hsu W, Zhou X, Petruse A, Chau N, Lee-Felker S, Hoyt A, Wenger N, Elashoff D, Naeim A. Hsu W, et al. Among authors: hoyt a. Clin Breast Cancer. 2019 Feb;19(1):e142-e151. doi: 10.1016/j.clbc.2018.08.008. Epub 2018 Sep 5. Clin Breast Cancer. 2019. PMID: 30366654

2

Negative predictive value of sonography and mammography in patients with focal breast pain.

Tumyan L, Hoyt AC, Bassett LW. Tumyan L, et al. Breast J. 2005 Sep-Oct;11(5):333-7. doi: 10.1111/j.1075-122X.2005.00018.x. Breast J. 2005. PMID: 16174154

3

Predictors associated with MRI surveillance screening in women with a personal history of unilateral breast cancer but without a genetic predisposition for future contralateral breast cancer.

Hegde JV, Wang X, Attai DJ, DiNome ML, Kusske A, Hoyt AC, Hurvitz SA, Weidhaas JB, Steinberg ML, McCloskey SA. Hegde JV, et al. Among authors: hoyt ac. Breast Cancer Res Treat. 2017 Nov;166(1):145-156. doi: 10.1007/s10549-017-4392-4. Epub 2017 Jul 12. Breast Cancer Res Treat. 2017. PMID: 28702891

4

Assessing the Effect of Lifetime Contralateral Breast Cancer Risk on the Selection of Contralateral Prophylactic Mastectomy for Unilateral Breast Cancer.

Hegde JV, Wang X, Attai DJ, DiNome ML, Kusske A, Hoyt AC, Hurvitz SA, Weidhaas JB, Steinberg ML, McCloskey SA. Hegde JV, et al. Among authors: hoyt ac. Clin Breast Cancer. 2018 Apr;18(2):e205-e218. doi: 10.1016/j.clbc.2017.09.010. Epub 2017 Sep 27. Clin Breast Cancer. 2018. PMID: 29050918

5

Microchipping the breast: an effective new technology for localizing non-palpable breast lesions for surgery.

DiNome ML, Kusske AM, Attai DJ, Fischer CP, Hoyt AC. DiNome ML, et al. Breast Cancer Res Treat. 2019 May;175(1):165-170. doi: 10.1007/s10549-019-05143-w. Epub 2019 Jan 28. Breast Cancer Res Treat. 2019. PMID: 30689105

6

Using Time as a Measure of Impact for AI Systems: Implications in Breast Screening.

Hsu W, Hoyt AC. Hsu W, et al. Radiol Artif Intell. 2019 Jul 31;1(4):e190107. doi: 10.1148/ryai.2019190107. eCollection 2019 Jul. Radiol Artif Intell. 2019. PMID: 33937798 Free PMC article. No abstract available.

7

Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman.

Paige JS, Lee CI, Wang PC, Hsu W, Brentnall AR, Hoyt AC, Naeim A, Elmore JG. Paige JS, et al. Among authors: hoyt ac. J Gen Intern Med. 2023 Aug;38(11):2584-2592. doi: 10.1007/s11606-023-08043-4. Epub 2023 Feb 7. J Gen Intern Med. 2023. PMID: 36749434 Free PMC article.

8

Breast Density Legislation Impact on Breast Cancer Screening and Risk Assessment.

Kothari P, Tseng JJ, Chalfant JS, Pittman SM, Hoyt AC, Larsen L, Sheth P, Yamashita M, Downey J, Ikeda DM. Kothari P, et al. J Breast Imaging. 2022 Jul 29;4(4):371-377. doi: 10.1093/jbi/wbac034. J Breast Imaging. 2022. PMID: 38416983

9

Digital mammography: clinical image evaluation.

Bassett LW, Hoyt AC, Oshiro T. Bassett LW, et al. Radiol Clin North Am. 2010 Sep;48(5):903-15. doi: 10.1016/j.rcl.2010.06.006. Radiol Clin North Am. 2010. PMID: 20868893 Review.

10

Mammographic signs of systemic disease.

Cao MM, Hoyt AC, Bassett LW. Cao MM, et al. Radiographics. 2011 Jul-Aug;31(4):1085-100. doi: 10.1148/rg.314105205. Radiographics. 2011. PMID: 21768240

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