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Showing results for ai ikenaga
Search for Ai Ikunaga instead (1 results)
Determination of lipid-rich plaques by artificial intelligence-enabled quantitative computed tomography using near-infrared spectroscopy as reference.
Omori H, Matsuo H, Fujimoto S, Sobue Y, Nozaki Y, Nakazawa G, Takahashi K, Osawa K, Okubo R, Kaneko U, Sato H, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Saji M, Iguchi N, Ijichi T, Mikamo H, Kurata A, Moroi M, Iijima R, Malkasian S, Crabtree T, Min JK, Earls JP, Nakanishi R. Omori H, et al. Atherosclerosis. 2023 Dec;386:117363. doi: 10.1016/j.atherosclerosis.2023.117363. Epub 2023 Oct 29. Atherosclerosis. 2023. PMID: 37944269 Free article.
BACKGROUND AND AIMS: Artificial intelligence quantitative CT (AI-QCT) determines coronary plaque morphology with high efficiency and accuracy. ...Additionally, vessel area, lumen area, plaque burden, and lesion length derived from AI-QCT strongly correlated with res …
BACKGROUND AND AIMS: Artificial intelligence quantitative CT (AI-QCT) determines coronary plaque morphology with high efficiency and …
Lysyl oxidase activity contributes to collagen stabilization during liver fibrosis progression and limits spontaneous fibrosis reversal in mice.
Liu SB, Ikenaga N, Peng ZW, Sverdlov DY, Greenstein A, Smith V, Schuppan D, Popov Y. Liu SB, et al. FASEB J. 2016 Apr;30(4):1599-609. doi: 10.1096/fj.14-268425. Epub 2015 Dec 23. FASEB J. 2016. PMID: 26700732
Our data support the concept of pharmacologic targeting of LOX pathway to inhibit liver fibrosis and promote its resolution.-Liu, S. B., Ikenaga, N., Peng, Z.-W., Sverdlov, D. Y., Greenstein, A., Smith, V., Schuppan, D., Popov, Y. ...
Our data support the concept of pharmacologic targeting of LOX pathway to inhibit liver fibrosis and promote its resolution.-Liu, S. B., …
Rationale and design of the INVICTUS Registry: (Multicenter Registry of Invasive and Non-Invasive imaging modalities to compare Coronary Computed Tomography Angiography, Intravascular Ultrasound and Optical Coherence Tomography for the determination of Severity, Volume and Type of coronary atherosclerosiS).
Nakanishi R, Okubo R, Sobue Y, Kaneko U, Sato H, Fujimoto S, Nozaki Y, Kajiya T, Miyoshi T, Ichikawa K, Abe M, Kitagawa T, Ikenaga H, Osawa K, Saji M, Iguchi N, Nakazawa G, Takahashi K, Ijich T, Mikamo H, Kurata A, Moroi M, Iijima R, Malkasian S, Crabtree T, Chamie D, Alexandra LJ, Min JK, Earls JP, Matsuo H. Nakanishi R, et al. J Cardiovasc Comput Tomogr. 2023 Nov-Dec;17(6):401-406. doi: 10.1016/j.jcct.2023.08.011. Epub 2023 Sep 9. J Cardiovasc Comput Tomogr. 2023. PMID: 37679247
RESULTS: Patients data are sent to the core-laboratories to analyze for stenosis severity, plaque characteristics and volume. The variables for CCTA are measured using an AI-based automated software and assessed independently with the variables measured at the imaging core …
RESULTS: Patients data are sent to the core-laboratories to analyze for stenosis severity, plaque characteristics and volume. The variables …
Use of the augmentation index from applanation tonometry of the radial artery for assessing the extent of coronary artery calcium as assessed by coronary computed tomography.
Watanabe N, Kurisu S, Sumimoto Y, Ikenaga H, Shimonaga T, Higaki T, Tatsugami F, Ishibashi K, Kitagawa T, Dohi Y, Fukuda Y, Yamamoto H, Awai K, Kihara Y. Watanabe N, et al. Clin Exp Hypertens. 2017;39(4):355-360. doi: 10.1080/10641963.2016.1267195. Epub 2017 May 17. Clin Exp Hypertens. 2017. PMID: 28513225
We tested the hypothesis that the radial AI is associated with the extent of coronary artery calcium (CAC) as assessed by coronary computed tomography (CCT). METHODS AND RESULTS: This study included 161 patients with known or suspected coronary artery disease undergoing ce …
We tested the hypothesis that the radial AI is associated with the extent of coronary artery calcium (CAC) as assessed by coronary co …
Association between switching prescribed drugs for lower urinary tract symptoms and independence of urination in post-stroke patients: A retrospective cohort study.
Sumiya K, Shogenji M, Ikenaga Y, Ogawa Y, Hirako K, Fujita A, Shimada T, Hashimoto M, Masuda A, Nagamoto T, Tamai I, Ogura H, Toyama T, Wada T, Sai Y. Sumiya K, et al. J Stroke Cerebrovasc Dis. 2023 Dec;32(12):107419. doi: 10.1016/j.jstrokecerebrovasdis.2023.107419. Epub 2023 Oct 14. J Stroke Cerebrovasc Dis. 2023. PMID: 37839304
Blockade of histamine receptor H1 augments immune checkpoint therapy by enhancing MHC-I expression in pancreatic cancer cells.
Zhong P, Nakata K, Oyama K, Higashijima N, Sagara A, Date S, Luo H, Hayashi M, Kubo A, Wu C, He S, Yamamoto T, Koikawa K, Iwamoto C, Abe T, Ikenaga N, Ohuchida K, Morisaki T, Oda Y, Kuba K, Nakamura M. Zhong P, et al. J Exp Clin Cancer Res. 2024 May 8;43(1):138. doi: 10.1186/s13046-024-03060-5. J Exp Clin Cancer Res. 2024. PMID: 38715057 Free PMC article.
METHODS: We assessed HRH1 expression in pancreatic cancer cell (PCC) specimens from PDAC patients through public data analysis and immunohistochemical (IHC) staining. The impact of HRH1 in PCCs was evaluated using HRH1 antagonists and small hairpin RNA (shRNA). Techniques …
METHODS: We assessed HRH1 expression in pancreatic cancer cell (PCC) specimens from PDAC patients through public data analysis and immunohis …
26 results