Distinguishing Lymphomatous and Cancerous Lymph Nodes in 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography by Radiomics Analysis

被引:2
|
作者
Zheng, Bo [1 ]
Wu, Jiayi [2 ]
Zhao, Zixuan [2 ]
Ou, Xuejin [2 ]
Cao, Peng [3 ]
Ma, Xuelei [1 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Biotherapy, Dept Oncol, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Sch Med, Chengdu 610041, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Oncol, Chengdu 610041, Peoples R China
关键词
FINE-NEEDLE-ASPIRATION; CELL LUNG-CANCER; TEXTURE ANALYSIS; HODGKIN-DISEASE; PROSTATE-CANCER; FDG-PET; CT; HETEROGENEITY; METASTASIS; IMAGES;
D O I
10.1155/2020/3959236
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background. The National Comprehensive Cancer Network guidelines recommend excisional biopsies for the diagnosis of lymphomas. However, resection biopsies in all patients who are suspected of having malignant lymph nodes may cause unnecessary injury and increase medical costs. We investigated the usefulness of 18F-fluorodeoxyglucose positron emission/computed tomography- (18F-FDG-PET/CT-) based radiomics analysis for differentiating between lymphomatous lymph nodes (LLNs) and cancerous lymph nodes (CLNs). Methods. Using texture analysis, radiomic parameters from the 18F-FDG-PET/CT images of 492 lymph nodes (373 lymphomatous lymph nodes and 119 cancerous lymph nodes) were extracted with the LIFEx package. Predictive models were generated from the six parameters with the largest area under the receiver operating characteristics curve (AUC) in PET or CT images in the training set (70% of the data), using binary logistic regression. These models were applied to the test set to calculate predictive variables, including the combination of PET and CT predictive variables (PREcombination). The AUC, sensitivity, specificity, and accuracy were used to compare the differentiating ability of the predictive variables. Results. Compared with the pathological diagnosis of the patient's primary tumor, the AUC, sensitivity, specificity, and accuracy of PREcombination in differentiating between LLNs and CLNs were 0.95, 91.67%, 94.29%, and 92.96%, respectively. Moreover, PREcombination could effectively distinguish LLNs caused by various lymphoma subtypes (Hodgkin's lymphoma and non-Hodgkin's lymphoma) from CLNs, with the AUC, sensitivity, specificity, and accuracy being 0.85 and 0.90, 77.78% and 77.14%, 97.22% and 88.89%, and 90.74% and 83.10%, respectively. Conclusions. Radiomics analysis of 18F-FDG-PET/CT images may provide a noninvasive, effective method to distinguish LLN and CLN and inform the choice between fine-needle aspiration and excision biopsy for sampling suspected lymphomatous lymph nodes.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography in the characterization of pancreatic masses: Experience from tropics
    Santhosh, Sampath
    Mittal, Bhagwant Rai
    Bhasin, Deepak
    Srinivasan, Radhika
    Rana, Surinder
    Das, Ashim
    Nada, Ritambhra
    Bhattacharya, Anish
    Gupta, Rajesh
    Kapoor, Rakesh
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2013, 28 (02) : 255 - 261
  • [42] 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Postsurgical Setting in Head and Neck Cancers - A Pictorial Essay
    Agrawal, Archi
    Prakash, Anjali
    Choudhury, Sayak
    Manikandan, M., V
    Jain, Yash
    Purandare, Nilendu
    Puranik, Ameya
    Shah, Sneha
    Rangarajan, Venkatesh
    INDIAN JOURNAL OF NUCLEAR MEDICINE, 2021, 36 (02): : 195 - 200
  • [43] 18F-fluorodeoxyglucose positron emission tomography-computed tomography in the management of adult multisystem Langerhans cell histiocytosis
    Obert, Julie
    Vercellino, Laetitia
    Van der Gucht, Axel
    de Margerie-Mellon, Constance
    Bugnet, Emmanuelle
    Chevret, Sylvie
    Lorillon, Gwenael
    Tazi, Abdellatif
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2017, 44 (04) : 598 - 610
  • [44] Diagnostic ability of [18F]-fluorodeoxyglucose-positron emission tomography/computed tomography for retropharyngeal lymph node in patients with oral cancer
    Fujikura, Mamiko
    Nakamura, Shin
    Asai, Sakurako
    Kurabayashi, Tohru
    NUCLEAR MEDICINE COMMUNICATIONS, 2019, 40 (10) : 1036 - 1042
  • [45] The Diagnostic and Predictive Value of 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Laryngeal Squamous Cell Carcinoma
    Al-Ibraheem, Akram
    Abdlkadir, Ahmed Saad
    Shagera, Qaid Ahmed
    Saraireh, Omar
    Al-Adhami, Dhuha
    Al-Rashdan, Rakan
    Anwar, Farah
    Moghrabi, Serin
    Mohamad, Issa
    Muylle, Kristoff
    Estrada, Enrique
    Paez, Diana
    Mansour, Asem
    Lopci, Egesta
    CANCERS, 2023, 15 (22)
  • [46] The prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters in patients with malignant pleural mesothelioma
    Yenigun, Bulent Mustafa
    Kahya, Yusuf
    Soydal, Cigdem
    Tutkun, Nihal Ata
    Kocaman, Gokhan
    Kocak, Emre Muhammed
    Ozkan, Elgin
    Sak, Serpil Dizbay
    Cangir, Ayten Kayi
    TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 2021, 29 (01): : 93 - 101
  • [47] Diagnosis of Infective Endocarditis by Subtype Using 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography A Contemporary Meta-Analysis
    Wang, Tom Kai Ming
    Sanchez-Nadales, Alejandro
    Igbinomwanhia, Efehi
    Cremer, Paul
    Griffin, Brian
    Xu, Bo
    CIRCULATION-CARDIOVASCULAR IMAGING, 2020, 13 (06) : E010600
  • [48] Clinical utility of three-dimensional integrated 18F-fluorodeoxyglucose positron-emission tomography/computed tomography virtual mediastinoscopy
    Itano, Hideki
    Hirokawa, Yutaka
    Takauchi, Koumei
    INTERACTIVE CARDIOVASCULAR AND THORACIC SURGERY, 2010, 10 (06) : 981 - 985
  • [49] Application of Imaging Indicators Based on 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Colorectal Peritoneal Carcinomatosis
    Sun, Chun-Feng
    Zhang, Ding
    Gao, Yan
    Mao, Xiao-Ying
    Tan, Zhong-Hua
    Bao, Shan-Lei
    Shen, Chen
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [50] Utility of computed tomography and18F-fluorodeoxyglucose with positron emission tomography/computed tomography for distinguishing appendiceal mucocele caused by mucinous adenocarcinoma from other pathologies
    Kaneko, M.
    Kawai, K.
    Nozawa, H.
    Hata, K.
    Tanaka, T.
    Nishikawa, T.
    Shuno, Y.
    Sasaki, K.
    Emoto, S.
    Murono, K.
    Ishii, H.
    Sonoda, H.
    Watadani, T.
    Takao, H.
    Abe, O.
    Ishihara, S.
    COLORECTAL DISEASE, 2020, 22 (12) : 1984 - 1990