18F-FDG PET/CT Parameters Enhance MRI Radiomics for Predicting Human Papilloma Virus Status in Oropharyngeal Squamous Cell Carcinoma

被引:0
作者
Jo, Kwan Hyeong [1 ]
Kim, Jinna [2 ]
Cho, Hojin [3 ]
Kang, Won Jun [3 ]
Lee, Seung-Koo [2 ]
Sohn, Beomseok [2 ,4 ,5 ]
机构
[1] Korea Univ, Guro Hosp, Dept Nucl Med, Seoul, South Korea
[2] Yonsei Univ, Severance Hosp, Coll Med, Dept Radiol, Seoul, South Korea
[3] Yonsei Univ, Coll Med, Severance Hosp, Dept Nucl Med, Seoul, South Korea
[4] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Radiol, Seoul, South Korea
[5] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Radiol, 81 Irwon Ro, Seoul 06351, South Korea
关键词
Key Words; Positron emission tomography computed tomography; human papillomavirus; oropharyngeal cancer; magnetic resonance imaging; TEXTURE ANALYSIS; HPV STATUS; HEAD; METABOLISM;
D O I
10.3349/ymj.2023.0187
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose: Predicting human papillomavirus (HPV) status is critical in oropharyngeal squamous cell carcinoma (OPSCC) radiomics. In this study, we developed a model for HPV status prediction using magnetic resonance imaging (MRI) radiomics and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) parameters in patients with OPSCC. Materials and Methods: Patients with OPSCC who underwent 18F-FDG PET/CT and contrast-enhanced MRI before treatment between January 2012 and February 2020 were enrolled. Training and test sets (3:2) were randomly selected.18F-FDG PET/CT parameters and MRI radiomics feature were extracted. We developed three light-gradient boosting machine prediction models using the training set: Model 1, MRI radiomics features; Model 2,18F-FDG PET/CT parameters; and Model 3, combination of MRI radiomics features and 18F-FDG PET/CT parameters. Area under the receiver operating characteristic curve (AUROC) values were used to analyze the performance of the models in predicting HPV status in the test set. Results: A total of 126 patients (118 male and 8 female; mean age: 60 years) were included. Of these, 103 patients (81.7%) were HPV-positive, and 23 patients (18.3%) were HPV-negative. AUROC values in the test set were 0.762 [95% confidence interval (CI), 0.564-0.959], 0.638 (95% CI, 0.404-0.871), and 0.823 (95% CI, 0.668-0.978) for Models 1, 2, and 3, respectively. The net reclassification improvement of Model 3, compared with that of Model 1, in the test set was 0.119. Conclusion: When combined with an MRI radiomics model,18F-FDG PET/CT exhibits incremental value in predicting HPV status in patients with OPSCC.
引用
收藏
页码:738 / 744
页数:7
相关论文
共 25 条
  • [1] The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more "personalized" approach to cancer staging
    Amin, Mahul B.
    Greene, Frederick L.
    Edge, Stephen B.
    Compton, Carolyn C.
    Gershenwald, Jeffrey E.
    Brookland, Robert K.
    Meyer, Laura
    Gress, Donna M.
    Byrd, David R.
    Winchester, David P.
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2017, 67 (02) : 93 - 99
  • [2] Human Papillomavirus and Survival of Patients with Oropharyngeal Cancer
    Ang, K. Kian
    Harris, Jonathan
    Wheeler, Richard
    Weber, Randal
    Rosenthal, David I.
    Nguyen-Tan, Phuc Felix
    Westra, William H.
    Chung, Christine H.
    Jordan, Richard C.
    Lu, Charles
    Kim, Harold
    Axelrod, Rita
    Silverman, C. Craig
    Redmond, Kevin P.
    Gillison, Maura L.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2010, 363 (01) : 24 - 35
  • [3] The association of 18F-FDG PET and glucose metabolism biomarkers GLUT1 and HK2 in p16 positive and negative head and neck squamous cell carcinomas
    Baschnagel, Andrew M.
    Wobb, Jessica L.
    Dilworth, Joshua T.
    Williams, Lindsay
    Eskandari, Mohammad
    Wu, Dafang
    Pruetz, Barbara L.
    Wilson, George D.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2015, 117 (01) : 118 - 124
  • [4] Computed Tomography Radiomics Predicts HPV Status and Local Tumor Control After Definitive Radiochemotherapy in Head and Neck Squamous Cell Carcinoma
    Bogowicz, Marta
    Riesterer, Oliver
    Ikenberg, Kristian
    Stieb, Sonja
    Moch, Holger
    Studer, Gabriela
    Guckenberger, Matthias
    Tanadini-Lang, Stephanie
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 99 (04): : 921 - 928
  • [5] Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT
    Buch, K.
    Fujita, A.
    Li, B.
    Kawashima, Y.
    Qureshi, M. M.
    Sakai, O.
    [J]. AMERICAN JOURNAL OF NEURORADIOLOGY, 2015, 36 (07) : 1343 - 1348
  • [6] Predicting HPV Status in Head and Neck Cancer The Predictive Value of Sociodemographic and Disease Characteristics
    Byrd, J. Kenneth
    Wilhoit, Christina S. T.
    Fordham, M. Taylor
    Reeves, Travis D.
    McCrackan, Theodore R.
    Nguyen, Shaun A.
    Sutkowski, Natalie
    Gillespie, M. Boyd
    [J]. ARCHIVES OF OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2012, 138 (12) : 1155 - 1159
  • [7] Human Papillomavirus and Epidermal Growth Factor Receptor in Oral Cavity and Oropharyngeal Squamous Cell Carcinoma: Correlation With Dynamic Contrast-Enhanced MRI Parameters
    Choi, Yoon Seong
    Park, Mina
    Kwon, Hyeong Ju
    Koh, Yoon Woo
    Lee, Seung-Koo
    Kim, Jinna
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2016, 206 (02) : 408 - 413
  • [8] DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
    Dablain, Damien
    Krawczyk, Bartosz
    Chawla, Nitesh, V
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (09) : 6390 - 6404
  • [9] Oropharyngeal Cancer Incidence and Mortality Trends in All 50 States in the US, 2001-2017
    Damgacioglu, Haluk
    Sonawane, Kalyani
    Zhu, Yenan
    Li, Ruosha
    Balasubramanian, Bijal A.
    Lairson, David R.
    Giuliano, Anna R.
    Deshmukh, Ashish A.
    [J]. JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2022, 148 (02) : 155 - 165
  • [10] Difference Between HPV-Positive and HPV-Negative Non-Oropharyngeal Head and Neck Cancer: Texture Analysis Features on CT
    Fujita, Akifumi
    Buch, Karen
    Li, Baojun
    Kawashima, Yusuke
    Qureshi, Muhammad M.
    Sakai, Osamu
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2016, 40 (01) : 43 - 47