Comparison of objective criteria and expert visual interpretation to classify benign and malignant hilar and mediastinal nodes on 18-F FDG PET/CT

被引:22
|
作者
Phan Nguyen [1 ,5 ]
Bhatt, Manoj [2 ,3 ,5 ]
Bashirzadeh, Farzad [1 ,5 ]
Hundloe, Justin [1 ,5 ]
Ware, Robert [4 ]
Fielding, David [1 ,5 ]
Kumar, Aravind S. Ravi [2 ,3 ,5 ]
机构
[1] Royal Brisbane & Womens Hosp, Dept Thorac Med, Herston, Qld 4029, Australia
[2] Royal Brisbane & Womens Hosp, Dept Nucl Med, Herston, Qld 4029, Australia
[3] Royal Brisbane & Womens Hosp, Specialised PET Serv Queensland, Herston, Qld 4029, Australia
[4] Queensland Childrens Med Res Inst, Herston, Qld, Australia
[5] Univ Queensland, Fac Hlth Sci, Sch Med, St Lucia, Qld, Australia
关键词
lung cancer; lung cancer nodal staging; positron emission tomography; standardized uptake value criterion; CELL LUNG-CANCER; STANDARDIZED UPTAKE VALUE; F-18-FDG PET; LYMPH-NODES; LYMPHADENOPATHY; DIFFERENTIATION; METASTASES; ACCURACY; TESTS; RATIO;
D O I
10.1111/resp.12409
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background and objectiveThere is widespread adoption of FDG-PET/CT in staging of lung cancer, but no universally accepted criteria for classifying thoracic nodes as malignant. Previous studies show high negative predictive values, but reporting criteria and positive predictive values varies. Using Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) results as gold standard, we evaluated objective FDG-PET/CT criteria for interpreting mediastinal and hilar nodes and compared this to expert visual interpretation (EVI). MethodsA retrospective review of all patients with lung cancer who had both FDG-PET/CT and EBUS-TBNA from 2008 to 2010 was performed. Scan interpretation was blinded to histology. Patients from 2008/2009 were used for the prediction set. The validation set analysed patients from 2010. Objective FDG-PET/CT criteria were SUVmax lymph node (SUVmaxLN), ratio SUVmaxLN/SUVmax primary lung malignancy, ratio SUVmaxLN/SUVaverage liver, ratio SUVmaxLN/SUVmax liver and ratio SUVmaxLN/SUVmax blood pool. A nuclear medicine physician reviewed all scans and classified nodal stations as benign or malignant. ResultsEighty-seven malignant lymph nodes and 41 benign nodes were in the prediction set. All objective FDG-PET/CT criteria analysed were significantly higher in the malignant group (P < 0.0001). EVI correctly classified 122/128 nodes (95.3%). Thirty-four malignant nodes and 19 benign nodes were in the validation set. The new proposed cut-off values of the objective criteria from the prediction set correctly classified 44/53 (83.0%) nodes: 28/34 (82.4%) malignant nodes and 16/19 (84.2%) benign nodes. EVI had 91% accuracy: 33/34 (97.1%) malignant nodes and 15/19 (79.0%) benign nodes. ConclusionsObjective analysis of 18-F FDG PET/CT can differentiate between malignant and benign nodes but is not superior to EVI. FDG PET/CT is widely used for lung cancer mediastinal staging. Objective criteria for FDG PET/CT scan analysis have various published thresholds that are not well validated. We derived and validated objective criteria from patients at our institution and compared their performance with EVI. EBUS results were used as gold standard.
引用
收藏
页码:129 / 137
页数:9
相关论文
共 50 条
  • [1] 18F-FAPI PET/CT performs better in evaluating mediastinal and hilar lymph nodes in patients with lung cancer: comparison with 18F-FDG PET/CT
    Yuyun Sun
    Yun Sun
    Zili Li
    Shaoli Song
    Kailiang Wu
    Jingfang Mao
    Jingyi Cheng
    European Journal of Medical Research, 29
  • [2] 18F-FAPI PET/CT performs better in evaluating mediastinal and hilar lymph nodes in patients with lung cancer: comparison with 18F-FDG PET/CT
    Sun, Yuyun
    Sun, Yun
    Li, Zili
    Song, Shaoli
    Wu, Kailiang
    Mao, Jingfang
    Cheng, Jingyi
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2024, 29 (01)
  • [3] 18F-FDG and 18F-FLT PET/CT imaging in the characterization of mediastinal lymph nodes
    Rayamajhi, Sampanna Jung
    Mittal, Bhagwant Rai
    Maturu, Venkata Nagarjuna
    Agarwal, Ritesh
    Bal, Amanjit
    Dey, Pranab
    Shukla, Jaya
    Gupta, Dheeraj
    ANNALS OF NUCLEAR MEDICINE, 2016, 30 (03) : 207 - 216
  • [4] Combination of 18F-FDG PET/CT and convex probe endobronchial ultrasound elastography for intrathoracic malignant and benign lymph nodes prediction
    Zhi, Xinxin
    Sun, Xiaoyan
    Chen, Junxiang
    Wang, Lei
    Ye, Lin
    Li, Ying
    Xie, Wenhui
    Sun, Jiayuan
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [5] Comparison of the 18F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox?
    McDermott, S.
    Kilcoyne, A.
    Wang, Y.
    Scott, J. A.
    Halpern, E. F.
    Ackman, J. B.
    CLINICAL RADIOLOGY, 2019, 74 (03) : 187 - 195
  • [6] Role of 18F-FDG PET/CT in the diagnosis of benign vs. malignant tumor thrombus
    Sarswat, Sulochana
    Khan, Dikhra
    Sagar, Sambit
    Kumar, Rakesh
    NUCLEAR MEDICINE COMMUNICATIONS, 2023, 44 (08) : 726 - 731
  • [7] Evaluation of mediastinal lymph nodes using 18F-FDG PET-CT scan and its histopathologic correlation
    Kumar, Arvind
    Dutta, Roman
    Kannan, Umashankkar
    Kumar, Rakesh
    Khilnani, Gopi Chand
    Gupta, Siddhartha Datta
    ANNALS OF THORACIC MEDICINE, 2011, 6 (01) : 11 - 16
  • [8] Contribution of F-18 fluorodeoxyglucose PET/CT and contrast-enhanced thoracic CT texture analyses to the differentiation of benign and malignant mediastinal lymph nodes
    Bulbul, Ogun
    Bulbul, Hande Melike
    Tertemiz, Kemal Can
    Kaya, Gamze Capa
    Gurel, Duygu
    Ulukus, Emine Cagnur
    Gezer, Naciye Sinem
    ACTA RADIOLOGICA, 2023, 64 (04) : 1443 - 1454
  • [9] Etiology of false-positive 18F-FDG PET/CT of mediastinal and hilar lymph nodes with surgical biopsy in cancer patients
    Carvajal, Carlos
    Naranjo, Monica
    Carreno, Jose
    Chinchilla, Luis
    Alvarado, Fernando
    Buitrago, Miguel
    Callejas, Ana
    Beltran, Rafael
    REVISTA COLOMBIANA DE CANCEROLOGIA, 2022, 26 (04): : 412 - 419
  • [10] Characterization of Pulmonary Lesions with Low F-18 FDG Uptake Using Double Phase F-18 FDG PET/CT: Comparison of Visual and Quantitative Analyses
    Kim, I. J.
    Kim, S. J.
    Kim, Y. S.
    Lee, T. H.
    Jeong, Y. J.
    NEOPLASMA, 2009, 56 (01) : 33 - 39