Establishment of a new prognostic model for lung cancer using peritumoral texture analysis

• Project/Area Number: 20K16693
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Niigata University
• Principal Investigator: Yamazaki Motohiko 新潟大学, 医歯学系, 講師 (30772032)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Project Status: Completed (Fiscal Year 2022)
• Budget Amount: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000); Fiscal Year 2021: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
• Keywords: 肺癌 / テクスチャ解析 / Radiomics / 予後予測 / EGFR遺伝子変異 / 腫瘍周囲肺 / 腫瘍周囲 / EGFR遺伝子 / 肺腺癌 / 原発性肺癌 / 定量的CT画像評価

Outline of Research at the Start

本研究は原発性肺癌の術前CT画像をテクスチャ解析で定量的に評価する。研究期間は2年間で、初年度で下記①②を、次年度で下記③を明らかにする。
① 術後再発の予測に最も寄与する腫瘍と腫瘍周囲肺のテクスチャ所見。
② 腫瘍と腫瘍周囲肺のテクスチャ所見を組み合わせると再発予測能が向上するのか。
③ 再発予測に最も寄与するテクスチャ所見がどの様な病理像と関係しているのか。

Outline of Final Research Achievements

Texture analysis refers to quantitative evaluation of image texture, and extracting many features from radiological images for diagnosis using texture analysis is called radiomics. Although utility of intratumoral radiomics has already reported, that of peritumoral radiomics is not well studied.
This study revealed that peritumoral radiomics is significantly associated with overall survival and EGFR gene mutations in lung cancer. In addition, a combination of intratumoral and peritumoral radiomics is found to improve predictability of prognosis and EGFR gene mutations compared to intratumoral radiomics alone. Particularly, peritumoral radiomics within 3 mm from the tumor boundary was important for prediction and was associated with various pathological prognostic factors such as cancer histology, tumor infiltrating lymphocytes, and tumor spread through air spaces.

Academic Significance and Societal Importance of the Research Achievements

本研究によって原発巣周囲肺のRadiomicsの臨床的有用性が明らかとなり、原発巣のRadiomicsと併せて評価する事で、これまでよりも正確な肺癌のリスク分類が実現できると考えられた。周囲肺のRadiomicsと病理像との対比検討はまだ乏しいが、本研究によって周囲肺のRadiomicsが病理像を推定する一助となる事も示唆された。

Research Products

• [Journal Article] Role of intratumoral and peritumoral CT radiomics for the prediction of EGFR gene mutation in primary lung cancer (2022)
  • Author(s): Yamazaki Motohiko、Yagi Takuya、Tominaga Masaki、Minato Kojiro、Ishikawa Hiroyuki
  • Journal Title: The British Journal of Radiology Volume: 95 Issue: 1140 Pages: 20220374-20220374
  • DOI: 10.1259/bjr.20220374
  • Peer Reviewed / Open Access
• [Presentation] Role of peri-tumoral CT radiomics for the prediction of EGFR gene mutation in lung cancer (2022)
  • Author(s): Yamazaki M, Yagi T, Ishikawa H
  • Organizer: European Congress of Radiology
  • Int'l Joint Research
• [Presentation] Peri-tumoral CT radiomics as a predictor of postoperative survival in non-small cell lung cancer (2022)
  • Author(s): 山崎元彦、八木琢也、冨永理喜、石川浩志
  • Organizer: 日本医学放射線学会総会
• [Presentation] 腫瘍周囲肺の定量的CT解析を用いた切除肺癌の予後予測 (2022)
  • Author(s): 山崎元彦、冨永理喜、八木琢也、石川浩志
  • Organizer: 新潟肺癌研究会総会
• [Presentation] 肺癌のRadiomicsについて -tumoral / peritumoral Radiomics- (2022)
  • Author(s): 冨永理喜、山崎元彦
  • Organizer: 肺癌研究会例会
• [Presentation] Role of peritumoral CT radiomics in the prediction of EGFR gene mutation in lung cancer (2022)
  • Author(s): 山崎元彦
  • Organizer: European Congress of Radiology
  • Int'l Joint Research