Quantitative analysis of maxillofacial region using texture analysis
| Project/Area Number |
21K17101
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 57060:Surgical dentistry-related
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| Research Institution | Nihon University |
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Principal Investigator |
ITO Kotaro 日本大学, 松戸歯学部, 講師 (60868983)
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| Project Period (FY) |
2021-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | Texture analysis / テクスチャ解析 |
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| Outline of Research at the Start |
嚢胞性疾患、腫瘍性疾患、炎症性疾患および全身疾患を対象とする。嚢胞性疾患：病変検出の他、顎顔面領域の軟組織の嚢胞性疾患、顎骨の歯原性嚢胞、顎骨の非歯原性嚢胞の鑑別を目標とし、各嚢胞のテクスチャパラメータを確立させる。
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| Outline of Final Research Achievements |
In 2021, after segmenting the regions on the image of each disease, texture analyses were performed for medication-related osteonecrosis of the jaw, odontogenic maxillary sinusitis, submandibular sialadenitis, and parotid sialadenitis. In addition, texture analysis was performed on changes in the mandibular condyle bone marrow of diabetic patients as a relationship with systemic diseases, and differences in texture parameters were clarified. In 2022, we established differences in MRI texture parameters for each type of vascular malformation. Furthermore, texture analysis was performed using preoperative CT images of cases in which root resorption after orthodontic treatment, and texture features were established as risk factors for root resorption.
After extracting the texture features of each disease and tissue, a receiver operating characteristic curve was created and analyzed to obtain the cut-off value necessary for clinical differentiation.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究から得られた種々のテクスチャパラメータにより、今まで画像診断医の主観に依存していた顎顔面領域の疾患の画像特徴を定量的に表すことができた。定量的なテクスチャパラメータを使用して画像診断を行うことにより、画像診断医の経験年数や能力に左右されずに正確な画像診断を行うことができると考えられる。特に、顎顔面領域のような、解剖学的に非常に複雑で、専門の画像診断医が不足している領域では、多種多様な疾患の定量的な画像診断が可能となることの臨床的意義は非常に大きい。
また、本研究で得られたテクスチャパラメータは近年活発に研究が行われている機械学習を行う上でも指標となる数値となりえる。
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Report
(3 results)
Research Products
(20 results)
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[Presentation] CT texture analysis of stage 0 bisphosphonate-related osteonecrosis of the jaw2021
Author(s)
Kotaro Ito, Hirotaka Muraoka, Naohisa Hirahara, Eri Sawada, Satoshi Tokunaga, Shoya Hirohata, Kohei Otsuka, Shunya Okada, Shungo Ichiki, Tomohiro Komatsu, Go Itakura, Takumi Kondo, Takashi Kaneda
Organizer
The 23rd International Congress of DentoMaxilloFacial Radiology
Related Report
Int'l Joint Research
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