Akagi M - Search Results

1

Advanced CT techniques for assessing hepatocellular carcinoma.

Nakamura Y, Higaki T, Honda Y, Tatsugami F, Tani C, Fukumoto W, Narita K, Kondo S, Akagi M, Awai K. Nakamura Y, et al. Among authors: akagi m. Radiol Med. 2021 Jul;126(7):925-935. doi: 10.1007/s11547-021-01366-4. Epub 2021 May 5. Radiol Med. 2021. PMID: 33954894 Review.

2

Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla.

Akagi M, Nakamura Y, Higaki T, Matsubara Y, Terada H, Honda Y, Tatsugami F, Baba Y, Iida M, Awai K. Akagi M, et al. J Comput Assist Tomogr. 2018 May/Jun;42(3):373-379. doi: 10.1097/RCT.0000000000000702. J Comput Assist Tomogr. 2018. PMID: 29287019 Free PMC article.

3

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.

Akagi M, Nakamura Y, Higaki T, Narita K, Honda Y, Zhou J, Yu Z, Akino N, Awai K. Akagi M, et al. Eur Radiol. 2019 Nov;29(11):6163-6171. doi: 10.1007/s00330-019-06170-3. Epub 2019 Apr 11. Eur Radiol. 2019. PMID: 30976831

4

Clinical staging of upper urinary tract urothelial carcinoma for T staging: Review and pictorial essay.

Honda Y, Nakamura Y, Teishima J, Goto K, Higaki T, Narita K, Akagi M, Terada H, Kaichi Y, Fujii S, Hayashi T, Matsubara A, Sentani K, Yasui W, Iida M, Awai K. Honda Y, et al. Among authors: akagi m. Int J Urol. 2019 Nov;26(11):1024-1032. doi: 10.1111/iju.14068. Epub 2019 Aug 4. Int J Urol. 2019. PMID: 31379021 Review.

5

Deep learning reconstruction of equilibrium phase CT images in obese patients.

Akagi M, Nakamura Y, Higaki T, Narita K, Honda Y, Awai K. Akagi M, et al. Eur J Radiol. 2020 Dec;133:109349. doi: 10.1016/j.ejrad.2020.109349. Epub 2020 Oct 28. Eur J Radiol. 2020. PMID: 33152626

6

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.

Nakamura Y, Narita K, Higaki T, Akagi M, Honda Y, Awai K. Nakamura Y, et al. Among authors: akagi m. Eur Radiol. 2021 Jul;31(7):4700-4709. doi: 10.1007/s00330-020-07566-2. Epub 2021 Jan 3. Eur Radiol. 2021. PMID: 33389036

7

Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images.

Narita K, Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Akagi M, Honda Y, Iida M, Awai K. Narita K, et al. Among authors: akagi m. J Comput Assist Tomogr. 2021 May-Jun 01;45(3):359-366. doi: 10.1097/RCT.0000000000001139. J Comput Assist Tomogr. 2021. PMID: 33661153

8

Tubulocystic renal cell carcinoma: a review of literature focused on radiological findings for differential diagnosis.

Honda Y, Nakamura Y, Goto K, Terada H, Sentani K, Yasui W, Sekino Y, Hayashi T, Teishima J, Matsubara A, Akagi M, Fuji T, Baba Y, Iida M, Awai K. Honda Y, et al. Among authors: akagi m. Abdom Radiol (NY). 2018 Jul;43(7):1540-1545. doi: 10.1007/s00261-018-1643-8. Abdom Radiol (NY). 2018. PMID: 29796844 Review.

9

Pseudo-random Trajectory Scanning Suppresses Motion Artifacts on Gadoxetic Acid-enhanced Hepatobiliary-phase Magnetic Resonance Images.

Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Matsubara Y, Kamioka S, Akiyama Y, Iida M, Awai K. Nakamura Y, et al. Among authors: akagi m. Magn Reson Med Sci. 2020 Feb 10;19(1):21-28. doi: 10.2463/mrms.mp.2018-0174. Epub 2019 Mar 18. Magn Reson Med Sci. 2020. PMID: 30880292 Free PMC article.

10

Correction to: Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.

Akagi M, Nakamura Y, Higaki T, Narita K, Honda Y, Zhou J, Yu Z, Akino N, Awai K. Akagi M, et al. Eur Radiol. 2019 Aug;29(8):4526-4527. doi: 10.1007/s00330-019-06249-x. Eur Radiol. 2019. PMID: 31134364

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