Katsuhisa Yamada

Dr. Katsuhisa Yamada

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 February 2022 in Cells
Verified
Journal Article
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KYKatsuhisa Yamada
Katsuhisa Yamada
NINorimasa Iwasaki
Norimasa Iwasaki
HSHideki Sudo
Hideki Sudo
Intervertebral disc (IVD) degeneration is a common cause of low back pain and most spinal disorders. As IVD degeneration is a major obstacle to the healthy life of so many individuals, it is a major issue that needs to be overcome. Currently, there is no clinical treatment for the regeneration of degenerated IVDs. However, recent advances in regenerative medicine and tissue engineering suggest the potential of cell-based and/or biomaterial-based IVD regeneration therapies. These treatments may be indicated for patients with IVDs in the intermediate degenerative stage, a point where the number of viable cells decreases, and the structural integrity of the disc begins to collapse. However, there are many biological, biomechanical, and clinical challenges that must be overcome before the clinical application of these IVD regeneration therapies can be realized. This review summarizes the basic research and clinical trials literature on cell-based and biomaterial-based IVD regenerative therapies and outlines the important role of these strategies in regenerative treatment for IVD degenerative diseases, especially disc herniation.

3 July 2021 in European Spine Journal
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Journal Article
Closed access
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KYKatsuhisa Yamada
Katsuhisa Yamada
KNKen Nagahama
Ken Nagahama
YAYuichiro Abe
Yuichiro Abe
YHYoshinori Hyugaji
Yoshinori Hyugaji
MTMasahiko Takahata
Masahiko Takahata
NINorimasa Iwasaki
Norimasa Iwasaki

12 January 2021 in Scientific Reports
Verified
Journal Article
Open access
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KUKatsuro Ura
Katsuro Ura
KYKatsuhisa Yamada
Katsuhisa Yamada
TTTakeru Tsujimoto
Takeru Tsujimoto
DUDaisuke Ukeba
Daisuke Ukeba
NINorimasa Iwasaki
Norimasa Iwasaki
HSHideki Sudo
Hideki Sudo
Lumbar intervertebral disc (IVD) herniation causes severe low back pain (LBP), which results in substantial financial and emotional strains. Despite the effectiveness of discectomy, there is no existing treatment for post-operative LBP induced by progressive IVD degeneration. Two key factors of LBP are intradiscal inflammation, indicated by tumour necrosis factor alpha (TNF-α) and interleukin-6 (IL-6), and sensory nerve ingrowth into the inner layer of the annulus fibrosus, triggered by nerve growth factor/high-affinity tyrosine kinase A (TrkA) signalling. In an animal models of discectomy, the bioresorbable ultra-purified alginate (UPAL) gel with an extremely low-toxicity has been effective in acellular tissue repair. We aimed to investigate whether UPAL gel can alleviate LBP using a rat nucleus pulposus (NP) punch model and a rabbit NP aspirate model. In both models, we assessed TNF-α and IL-6 production and TrkA expression within the IVD by immunohistochemistry. Further, histological analysis and behavioural nociception assay were conducted in the rat model. UPAL gel implantation suppressed TNF-α and IL-6 production, downregulated TrkA expression, inhibited IVD degeneration, and reduced nociceptive behaviour. Our results suggest the potential of UPAL gel implantation as an innovative treatment for IVD herniation by reducing LBP and preventing IVD degeneration after discectomy.

7 January 2023 in Journal of Clinical Medicine
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Journal Article
Open access
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YIYoko Ishikawa
Yoko Ishikawa
TKTerufumi Kokabu
Terufumi Kokabu
KYKatsuhisa Yamada
Katsuhisa Yamada
YAYuichiro Abe
Yuichiro Abe
HTHiroyuki Tachi
Hiroyuki Tachi
HSHideki Sudo
Hideki Sudo
Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal deformity. Early detection of deformity and timely intervention, such as brace treatment, can help inhibit progressive changes. A three-dimensional (3D) depth-sensor imaging system with a convolutional neural network was previously developed to predict the Cobb angle. The purpose of the present study was to (1) evaluate the performance of the deep learning algorithm (DLA) in predicting the Cobb angle and (2) assess the predictive ability depending on the presence or absence of clothing in a prospective analysis. We included 100 subjects with suspected AIS. The correlation coefficient between the actual and predicted Cobb angles was 0.87, and the mean absolute error and root mean square error were 4.7° and 6.0°, respectively, for Adam’s forward bending without underwear. There were no significant differences in the correlation coefficients between the groups with and without underwear in the forward-bending posture. The performance of the DLA with a 3D depth sensor was validated using an independent external validation dataset. Because the psychological burden of children and adolescents on naked body imaging is an unignorable problem, scoliosis examination with underwear is a valuable alternative in clinics or schools.

31 May 2015 in European Spine Journal
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Journal Article
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KYKatsuhisa Yamada
Katsuhisa Yamada
MIManabu Ito
Manabu Ito
TAToshiyuki Akazawa
Toshiyuki Akazawa
MMMasaru Murata
Masaru Murata
TYToru Yamamoto
Toru Yamamoto
NINorimasa Iwasaki
Norimasa Iwasaki

24 November 2022 in European Spine Journal
Verified
Journal Article
Closed access
PDF file
KYKatsuhisa Yamada
Katsuhisa Yamada
MTMasahiko Takahata
Masahiko Takahata
KNKen Nagahama
Ken Nagahama
AIAkira Iwata
Akira Iwata
TETsutomu Endo
Tsutomu Endo
NINorimasa Iwasaki
Norimasa Iwasaki