Nakashima K - Search Results

1

Inter- and intra-observer variability of qualitative visual breast-composition assessment in mammography among Japanese physicians: a first multi-institutional observer performance study in Japan.

Koyama Y, Nakashima K, Orihara S, Tsunoda H, Kimura F, Uenaka N, Ban K, Michishita Y, Kanemaki Y, Kurihara A, Tawaraya K, Taguri M, Ishikawa T, Uematsu T. Koyama Y, et al. Among authors: nakashima k. Breast Cancer. 2024 Apr 15. doi: 10.1007/s12282-024-01580-8. Online ahead of print. Breast Cancer. 2024. PMID: 38619787

2

Comparison of visibility of circumscribed masses on Digital Breast Tomosynthesis (DBT) and 2D mammography: are circumscribed masses better visualized and assured of being benign on DBT?

Nakashima K, Uematsu T, Itoh T, Takahashi K, Nishimura S, Hayashi T, Sugino T. Nakashima K, et al. Eur Radiol. 2017 Feb;27(2):570-577. doi: 10.1007/s00330-016-4420-5. Epub 2016 May 28. Eur Radiol. 2017. PMID: 27236817

3

T2-hypointense rim of breast mass lesions on magnetic resonance images: Radiologic-pathologic correlation.

Nakashima K, Uematsu T, Sugino T, Takahashi K, Nishimura S, Tadokoro Y, Hayashi T. Nakashima K, et al. Breast J. 2018 Nov;24(6):944-950. doi: 10.1111/tbj.13068. Epub 2018 May 21. Breast J. 2018. PMID: 29785726

4

Does breast cancer growth rate really depend on tumor subtype? Measurement of tumor doubling time using serial ultrasonography between diagnosis and surgery.

Nakashima K, Uematsu T, Takahashi K, Nishimura S, Tadokoro Y, Hayashi T, Sugino T. Nakashima K, et al. Breast Cancer. 2019 Mar;26(2):206-214. doi: 10.1007/s12282-018-0914-0. Epub 2018 Sep 26. Breast Cancer. 2019. PMID: 30259332

5

MRI-detected breast lesions: clinical implications and evaluation based on MRI/ultrasonography fusion technology.

Nakashima K, Uematsu T, Harada TL, Takahashi K, Nishimura S, Tadokoro Y, Hayashi T, Watanabe J, Sugino T. Nakashima K, et al. Jpn J Radiol. 2019 Oct;37(10):685-693. doi: 10.1007/s11604-019-00866-8. Epub 2019 Sep 5. Jpn J Radiol. 2019. PMID: 31486968 Review.

6

Imaging features of breast cancer with marked hemosiderin deposition: A case report.

Harada TL, Nakashima K, Uematsu T, Sugino T, Nishimura S, Takahashi K, Tadokoro Y, Hayashi T, Watanabe J, Nakamoto S. Harada TL, et al. Among authors: nakashima k. Eur J Radiol Open. 2019 Sep 16;6:302-306. doi: 10.1016/j.ejro.2019.08.002. eCollection 2019. Eur J Radiol Open. 2019. PMID: 31641684 Free PMC article.

7

Reply to the Letter to the Editor: MRI-detected breast lesions: clinical implications and evaluation based on MRI/ultrasonography fusion technology.

Nakashima K, Uematsu T, Harada TL. Nakashima K, et al. Jpn J Radiol. 2020 Jan;38(1):96-97. doi: 10.1007/s11604-019-00899-z. Epub 2019 Nov 8. Jpn J Radiol. 2020. PMID: 31705426 No abstract available.

8

Is the presence of edema and necrosis on T2WI pretreatment breast MRI the key to predict pCR of triple negative breast cancer?

Harada TL, Uematsu T, Nakashima K, Sugino T, Nishimura S, Takahashi K, Hayashi T, Tadokoro Y, Watanabe J, Nakamoto S, Ito T. Harada TL, et al. Among authors: nakashima k. Eur Radiol. 2020 Jun;30(6):3363-3370. doi: 10.1007/s00330-020-06662-7. Epub 2020 Feb 15. Eur Radiol. 2020. PMID: 32062698

9

Evaluation of Breast Edema Findings at T2-weighted Breast MRI Is Useful for Diagnosing Occult Inflammatory Breast Cancer and Can Predict Prognosis after Neoadjuvant Chemotherapy.

Harada TL, Uematsu T, Nakashima K, Kawabata T, Nishimura S, Takahashi K, Tadokoro Y, Hayashi T, Tsuchiya K, Watanabe J, Sugino T. Harada TL, et al. Among authors: nakashima k. Radiology. 2021 Apr;299(1):53-62. doi: 10.1148/radiol.2021202604. Epub 2021 Feb 9. Radiology. 2021. PMID: 33560188

10

Can breast MRI and adjunctive Doppler ultrasound improve the accuracy of predicting pathological complete response after neoadjuvant chemotherapy?

Nakashima K, Uematsu T, Harada TL, Takahashi K, Nishimura S, Tadokoro Y, Hayashi T, Watanabe J, Sugino T, Notsu A. Nakashima K, et al. Breast Cancer. 2021 Sep;28(5):1120-1130. doi: 10.1007/s12282-021-01249-6. Epub 2021 Apr 10. Breast Cancer. 2021. PMID: 33837896

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