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Your search keyword '"Tanoue, Shota"' showing total 23 results
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23 results on '"Tanoue, Shota"'

8. Nanowarming of vitrified pancreatic islets as a cryopreservation technology for transplantation.

Author

Wakabayashi, Taisei, Kaneko, Masahiro, Nakai, Tomoki, Horie, Masanobu, Fujimoto, Hiroyuki, Takahashi, Masazumi, Tanoue, Shota, and Ito, Akira

Subjects
ISLANDS, ISLANDS of Langerhans, MAGNETIC nanoparticles, STREPTOZOTOCIN, DEVITRIFICATION, MAGNETIC fields
Abstract

Biobanking of pancreatic islets for transplantation could solve the shortage of donors, and cryopreservation of vitrified islets is a possible approach. However, a technological barrier is rewarming of large volumes both uniformly and rapidly to prevent ice formation due to devitrification. Here, we describe successful recovery of islets from the vitrified state using a volumetric rewarming technology called "nanowarming," which is inductive heating of magnetic nanoparticles under an alternating magnetic field. Convective warming using a 37°C water bath as the gold standard for rewarming of vitrified samples resulted in a decrease in the viability of mouse islets in large volumes (>1 ml) owing to devitrification caused by slow warming. Nanowarming showed uniform and rapid rewarming of vitrified islets in large volumes. The viability of nanowarmed islets was significantly improved and islets transplanted into streptozotocin‐induced diabetic mice successfully lowered serum glucose. The results suggest that nanowarming will lead to a breakthrough in biobanking of islets for transplantation. [ABSTRACT FROM AUTHOR]

Published
2023
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10. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning–Based Reconstruction: A Clinical and Phantom Study

Author

Nagayama, Yasunori, primary, Goto, Makoto, additional, Sakabe, Daisuke, additional, Emoto, Takafumi, additional, Shigematsu, Shinsuke, additional, Oda, Seitaro, additional, Tanoue, Shota, additional, Kidoh, Masafumi, additional, Nakaura, Takeshi, additional, Funama, Yoshinori, additional, Uchimura, Ryutaro, additional, Takada, Sentaro, additional, Hayashi, Hidetaka, additional, Hatemura, Masahiro, additional, and Hirai, Toshinori, additional

Published
2022
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11. Evaluating of the Quality of Hepatic Diffusion Weighted Imaging Using Multiband Imaging With Variable-Rate Selective Excitation

Author

Yoshida, Naofumi, primary, Nakaura, Takeshi, additional, Morita, Kosuke, additional, Yoneyama, Masami, additional, Inoue, Taihei, additional, Tanoue, Shota, additional, Uetani, Hiroyuki, additional, Oda, Seitaro, additional, Nagayama, Yasunori, additional, Kidoh, Masafumi, additional, and Hirai, Toshinori, additional

Published
2022
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21. Application of 80-kVp scan and raw-data based iterative reconstruction for reduced iodine load abdominal-pelvic CT in patients at risk of contrast-induced nephropathy referred for oncological assessment: Effects on radiation dose, image quality and renal function

Author

Nagayama, Yasunori, primary, Tanoue, Shota, additional, Tsuji, Akinori, additional, Urata, Joji, additional, Furusawa, Mitsuhiro, additional, Oda, Seitaro, additional, Nakaura, Takeshi, additional, Utsunomiya, Daisuke, additional, Yoshida, Eri, additional, Yoshida, Morikatsu, additional, Kidoh, Masafumi, additional, Tateishi, Machiko, additional, and Yamashita, Yasuyuki, additional

Published
2018
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22. Epitaxial Growth and Electronic Properties of Large Hexagonal Graphene Domains on Cu(111) Thin Film

Author

Ago, Hiroki, primary, Kawahara, Kenji, additional, Ogawa, Yui, additional, Tanoue, Shota, additional, Bissett, Mark A., additional, Tsuji, Masaharu, additional, Sakaguchi, Hidetsugu, additional, Koch, Roland J., additional, Fromm, Felix, additional, Seyller, Thomas, additional, Komatsu, Katsuyoshi, additional, and Tsukagoshi, Kazuhito, additional

Published
2013
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23. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

Author

Nagayama Y, Goto M, Sakabe D, Emoto T, Shigematsu S, Oda S, Tanoue S, Kidoh M, Nakaura T, Funama Y, Uchimura R, Takada S, Hayashi H, Hatemura M, and Hirai T

Subjects
Algorithms, Child, Child, Preschool, Drug Tapering, Humans, Radiation Dosage, Retrospective Studies, Tomography, X-Ray Computed methods, Deep Learning, Radiographic Image Interpretation, Computer-Assisted methods
Abstract

BACKGROUND. Deep learning-based reconstruction (DLR) may facilitate CT radiation dose reduction, but a paucity of literature has compared lower-dose DLR images with standard-dose iterative reconstruction (IR) images or explored application of DLR to low-tube-voltage scanning in children. OBJECTIVE. The purpose of this study was to assess whether DLR can be used to reduce radiation dose while maintaining diagnostic image quality in comparison with hybrid IR (HIR) and model-based IR (MBIR) for low-tube-voltage pediatric CT. METHODS. This retrospective study included children 6 years old or younger who underwent contrast-enhanced 80-kVp CT with a standard-dose or lower-dose protocol. Standard images were reconstructed with HIR, and lower-dose images were reconstructed with HIR, MBIR, and DLR. Size-specific dose estimate (SSDE) was calculated for both protocols. Image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were quantified. Two radiologists independently evaluated noise magnitude, noise texture, streak artifact, edge sharpness, and overall quality. Interreader agreement was assessed, and mean values were calculated. To evaluate task-based object detection performance, a phantom was imaged with 80-kVp CT at six doses (SSDE, 0.6-5.3 mGy). Detectability index ( d ') was calculated from the noise power spectrum and task-based transfer function. Reconstruction methods were compared. RESULTS. Sixty-five children (mean age, 25.0 ± 25.2 months) who underwent CT with standard- ( n = 31) or lower-dose ( n = 34) protocol were included. SSDE was 54% lower for the lower-dose than for the standard-dose group (1.9 ± 0.4 vs 4.1 ± 0.8 mGy). Lower-dose DLR and MBIR yielded lower image noise and higher SNR and CNR than standard-dose HIR ( p < .05). Interobserver agreement on subjective features ranged from a kappa coefficient of 0.68 to 0.78. The readers subjectively scored noise texture, edge sharpness, and overall quality lower for lower-dose MBIR than for standard-dose HIR ( p < .001), though higher for lower-dose DLR than for standard-dose HIR ( p < .001). In the phantom, DLR provided higher d ' than HIR and MBIR at each dose. Object detectability was greater for 2.0-mGy DLR than for 4.0-mGy HIR for low-contrast (3.67 vs 3.57) and high-contrast (1.20 vs 1.04) objects. CONCLUSION. Compared with IR algorithms, DLR results in substantial dose reduction with preserved or even improved image quality for low-tube-voltage pediatric CT. CLINICAL IMPACT. Use of DLR at 80 kVp allows greater dose reduction for pediatric CT than do current IR techniques.

Published
2022
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