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Radiomics Analysis of Gray-Scale Ultrasonographic Images of Papillary Thyroid Carcinoma > 1 cm: Potential Biomarker for the Prediction of Lymph Node Metastasis

Radiomics를 이용한 1 cm 이상의 갑상선 유두암의 초음파 영상 분석: 림프절 전이 예측을 위한 잠재적인 바이오마커

  • Hyun Jung Chung (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Kyunghwa Han (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Eunjung Lee (Department of Computational Science and Engineering, Yonsei University) ;
  • Jung Hyun Yoon (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Vivian Youngjean Park (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Minah Lee (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine) ;
  • Eun Cho (Department of Radiology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine) ;
  • Jin Young Kwak (Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine)
  • 정현정 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과) ;
  • 한경화 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과) ;
  • 이은정 (연세대학교 전산과학공학교실) ;
  • 윤정현 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과) ;
  • 박영진 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과) ;
  • 이민아 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과) ;
  • 조은 (경상대학교 의과대학 경상대학교창원병원 영상의학과) ;
  • 곽진영 (연세대학교 의과대학 세브란스병원 방사선과학연구소 영상의학과)
  • Received : 2021.09.17
  • Accepted : 2022.04.19
  • Published : 2023.01.01

Abstract

Purpose This study aimed to investigate radiomics analysis of ultrasonographic images to develop a potential biomarker for predicting lymph node metastasis in papillary thyroid carcinoma (PTC) patients. Materials and Methods This study included 431 PTC patients from August 2013 to May 2014 and classified them into the training and validation sets. A total of 730 radiomics features, including texture matrices of gray-level co-occurrence matrix and gray-level run-length matrix and single-level discrete two-dimensional wavelet transform and other functions, were obtained. The least absolute shrinkage and selection operator method was used for selecting the most predictive features in the training data set. Results Lymph node metastasis was associated with the radiomics score (p < 0.001). It was also associated with other clinical variables such as young age (p = 0.007) and large tumor size (p = 0.007). The area under the receiver operating characteristic curve was 0.687 (95% confidence interval: 0.616-0.759) for the training set and 0.650 (95% confidence interval: 0.575-0.726) for the validation set. Conclusion This study showed the potential of ultrasonography-based radiomics to predict cervical lymph node metastasis in patients with PTC; thus, ultrasonography-based radiomics can act as a biomarker for PTC.

목적 갑상선 유두암 환자에서 림프절 전이를 예측할 수 있는 잠재적인 바이오마커를 개발하기 위해 초음파 영상에 대한 radiomics를 조사하는 것이다. 대상과 방법 2013년 8월부터 2014년 5월까지 431명의 환자가 연구에 포함되었고 통계 소프트웨어를 사용하여 훈련 및 검증 세트로 구분되었다. 총 730개의 radiomics 특징이 자동으로 추출되었다. 훈련 데이터 세트에서 가장 예측 가능한 특징을 선택하기 위해 최소 절대 수축 및 선택 연산자가 사용되었다. 결과 Radiomics 점수는 림프절 전이와 관련이 있었다(p < 0.001). 림프절 전이는 젊은 연령(p = 0.007) 및 더 큰 종양 크기(p = 0.007)와 같은 다른 임상 변수와도 관련이 있었다. 수신자 조작 특성 곡선 하 면적 결과 값은 훈련 세트의 경우 0.687 (95% 신뢰 구간: 0.616-0.759), 검증 세트의 경우 0.650 (95% 신뢰 구간: 0.575-0.726)이었다. 결론 본 연구 결과는 초음파 영상 기반의 radiomics가 papillary thyroid carcinoma 환자에서 경부 림프절 전이를 예측하고 바이오마커로 작용할 가능성을 보여주었다.

Keywords

Acknowledgement

This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (2019R1A2C1002375 and 2021R1A2C2007492). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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