Pharmacokinetic analysis of tumors in the maxillofacial region using Dual Energy CT

• Project/Area Number: 18K17170
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 57060:Surgical dentistry-related
• Research Institution: Kyushu University
• Principal Investigator: KITAMOTO ERINA 九州大学, 歯学研究院, 助教 (40760476)
• Project Period (FY): 2018-04-01 – 2022-03-31
• Project Status: Completed (Fiscal Year 2021)
• Budget Amount: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000); Fiscal Year 2021: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2018: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
• Keywords: dual energy CT / 顎顔面領域 / 扁平上皮癌 / 頸部リンパ節転移 / 口腔癌 / 頭頸部 / perfusion CT / Dual Energy CT / 顎顔面腫瘍 / Perfusion / Permeability

Outline of Final Research Achievements

We established a Dual Energy CT (DECT) protocol in the maxillofacial region and investigated whether parameters calculated from DECT images are effective in the diagnosis of metastatic lymph nodes of squamous cell carcinoma.
Cervical lymph nodes larger than 5 mm were included in the study to determine the variation in CT values at 40, 70, and 100 keV and iodine content within the lymph nodes, and to correlate them with pathology. Metastatic lymph nodes tended to have significantly smaller contrast uptake than non-metastatic nodes, suggesting that DECT is likely to be associated with pathological changes within metastatic lymph nodes.

Academic Significance and Societal Importance of the Research Achievements

顎顔面領域において、DECT画像から算出したパラメータが扁平上皮癌の転移リンパ節の診断に有用である可能性が示唆された。

Research Products

• [Journal Article] Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT (2022)
  • Author(s): Sakai Yuki、Kitamoto Erina、Okamura Kazutoshi、Takarabe Shinya、Shirasaka Takashi、Mikayama Ryoji、Kondo Masatoshi、Tatsumi Masato、Kojima Tsukasa、Kato Toyoyuki、Yoshiura Kazunori
  • Journal Title: Oral Radiology Volume: - Issue: 4 Pages: 517-526
  • DOI: 10.1007/s11282-021-00584-w
  • Peer Reviewed
• [Journal Article] Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study. (2021)
  • Author(s): Sakai Y, Kitamoto E, Okamura K, Tatsumi M, Shirasaka T, Mikayama R, Kondo M, Hamasaki H, Kato T, Yoshiura K.
  • Journal Title: Dentomaxillofac Radiol. Volume: 50(7) Issue: 7 Pages: 20200553-20200553
  • DOI: 10.1259/dmfr.20200553
  • Peer Reviewed
• [Journal Article] Improved scan method for dental imaging using multidetector computed tomography: a phantom study (2020)
  • Author(s): Sakai Yuki、Okamura Kazutoshi、Kitamoto Erina、Kami Yukiko N、Shirasaka Takashi、Mikayama Ryoji、Tatsumi Masato、Kondo Masatoshi、Kato Toyoyuki、Yoshiura Kazunori
  • Journal Title: Dentomaxillofacial Radiology Volume: 49 Issue: 6 Pages: 20190462-20190462
  • DOI: 10.1259/dmfr.20190462
  • Peer Reviewed
• [Presentation] Deep Learning Reconstruction を用いた低線量 CT 撮影法の検討:インプラント術前撮影を想定したファントム実験 (2021)
  • Author(s): 酒井友貴，北本江梨奈，鬼塚泰裕，白坂崇，近藤雅敏，辰見正人，加藤豊幸
  • Organizer: 第77回日本放射線技術学会総会学術大会
• [Presentation] 左側頬部に生じた非結核性抗酸菌症の一例 (2019)
  • Author(s): 北本江梨奈、岡村和俊、筑井徹、清水真弓、山内恵利佳、吉浦一紀
  • Organizer: 日本歯科放射線学会 第24回臨床画像大会
• [Presentation] 動静脈奇形の一例 (2019)
  • Author(s): 岡村和俊, 北本江梨奈, 日置一仁, 濱田栄樹, 北村亮二, 山内恵利香, 筑井徹, 加美由紀子, 吉浦 一紀
  • Organizer: 日本歯科放射線学会 第38回関西・九州合同地方会
• [Presentation] 医科用CTにおける金属アーチファクト低減効果の定量的評価 (2018)
  • Author(s): 北本江梨奈, 岡村 和俊, 白坂崇, 吉浦 一紀
  • Organizer: 日本歯科放射線学会 第59回学術大会