18F-FDG PET-CT: predicting recurrence in patients following percutaneous cryoablation treatment for stage I primary non-small-cell lung cancer

被引:7
|
作者
LoGiurato, Brendan [1 ]
Matthews, Robert [1 ]
Safaie, Elham [1 ]
Moore, William [1 ]
Bilfinger, Thomas [2 ]
Relan, Nand [1 ]
Franceschi, Dinko [1 ]
机构
[1] SUNY Stony Brook, Sch Med, Dept Radiol, Stony Brook, NY 11794 USA
[2] SUNY Stony Brook, Sch Med, Dept Surg, Div Thorac Surg, Stony Brook, NY 11794 USA
关键词
fluorine-18; fluorodeoxyglucose; cryoablation; lung cancer; PET-CT; standardized uptake value; STEREOTACTIC BODY RADIOTHERAPY; POSITRON-EMISSION-TOMOGRAPHY; RADIOFREQUENCY ABLATION; LOCAL RECURRENCE; PROGNOSTIC VALUE; EXPERIENCE;
D O I
10.1097/MNM.0000000000000344
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
PurposeThe aim of this study was to understand the imaging features of fluorine-18 fluorodeoxyglucose (F-18-FDG) PET-computed tomography (CT) in postcryoablation lung cancer patients that could help predict recurrence.MethodsWe identified 28 patients with 30 lesions treated by means of percutaneous cryoablation for stage I non-small-cell lung cancer. Two experienced nuclear radiologists blindly reviewed baseline images and follow-up F-18-FDG PET-CT scans for a minimum of 24 months, with discrepancy in interpretation resolved by consensus. Nineteen lesions had undergone baseline PET-CT studies, whereas 11 lesions had undergone only baseline CT studies. Follow-up PET-CT studies were analyzed for up to 24 months, whereas the recurrence-free survival analysis was performed for 36 months.ResultsThe average maximum standardized uptake value (SUVmax) at baseline (n=19) was 5.23.9 and the average CT area at baseline was 2.2 +/- 1.6cm(2). Only the CT area was significantly different between recurring and nonrecurring lesions at baseline (P=0.0028). The Kaplan-Meier survival analysis showed that dichotomizing lesions around 2cm on CT did not result in a statistically significant survival difference (hazard ratio=1.42, 95% confidence interval: 0.63-2.21). The average SUVmax at first follow-up was 1.9 +/- 1.8 for 27 lesions, whereas the average SUVmax of recurrent lesions was 2.2 +/- 2.2 and that of nonrecurrent lesions was 1.5 +/- 0.3 (P=0.17). Six lesions had SUVmax more than or equal to 2.5 within 24 months, all of which recurred in the ablation zone.Conclusion(18)F-FDG PET-CT is a valuable tool for determining treatment response and for distinguishing benign from malignant lesions after cryoablation. The CT area was most predictive of future recurrence at baseline, whereas SUVmax more than or equal to 2.5 was most predictive of future recurrence at first follow-up. Copyright (C) 2015 Wolters Kluwer Health, Inc. All rights reserved.
引用
收藏
页码:908 / 913
页数:6
相关论文
共 50 条
  • [1] 18F-FDG PET-CT SIMULATION FOR NON-SMALL-CELL LUNG CANCER: EFFECT IN PATIENTS ALREADY STAGED BY PET-CT
    Hanna, Gerard G.
    McAleese, Jonathan
    Carson, Kathryn J.
    Stewart, David P.
    Cosgrove, Vivian P.
    Eakin, Ruth L.
    Zatari, Ashraf
    Lynch, Tom
    Jarritt, Peter H.
    Young, V. A. Linda
    O'Sullivan, Joe M.
    Hounsell, Alan R.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 77 (01): : 24 - 30
  • [2] PET-CT in the staging and treatment of non-small-cell lung cancer
    Ibeas, Patricia
    Cantos, Blanca
    Manuel Gasent, Jose
    Rodriguez, Begona
    Provencio, Mariano
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2011, 13 (06) : 368 - 377
  • [3] 18F-FDG PET/CT in non-small-cell lung cancer patients: a potential predictive biomarker of response to immunotherapy
    Evangelista, Laura
    Cuppari, Lea
    Menis, Jessica
    Bonanno, Laura
    Reccia, Pasquale
    Frega, Stefano
    Pasello, Giulia
    NUCLEAR MEDICINE COMMUNICATIONS, 2019, 40 (08) : 802 - 807
  • [4] Volume-based assessment by 18F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer
    Hyun, Seung Hyup
    Ahn, Hee Kyung
    Kim, Hojoong
    Ahn, Myung-Ju
    Park, Keunchil
    Ahn, Yong Chan
    Kim, Jhingook
    Shim, Young Mog
    Choi, Joon Young
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2014, 41 (01) : 50 - 58
  • [5] Impact of 18F-FDG PET/CT in the Treatment of Patients With Non-Small Cell Lung Cancer
    Taus, Alvaro
    Aguilo, Rafael
    Curull, Victor
    Suarez-Pinera, Marina
    Rodriguez-Fuster, Alberto
    Rodriguez de Dios, Nuria
    Pijuan, Lara
    Zuccarino, Flavio
    Vollmer, Ivan
    Sanchez-Font, Albert
    Belda-Sanchis, Jose
    Arriola, Edurne
    ARCHIVOS DE BRONCONEUMOLOGIA, 2014, 50 (03): : 99 - 104
  • [6] Lung Cancer Recurrence: 18F-FDG PET/CT in Clinical Practice
    Kandathil, Asha
    Sibley, Robert Carson, III
    Subramaniam, Rathan M.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (05) : 1136 - 1144
  • [7] Predicting treatment outcomes using 18F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
    Kim, Chang Gon
    Hwang, Sang Hyun
    Kim, Kyung Hwan
    Yoon, Hong In
    Shim, Hyo Sup
    Lee, Ji Hyun
    Han, Yejeong
    Ahn, Beung-Chul
    Hong, Min Hee
    Kim, Hye Ryun
    Cho, Byoung Chul
    Cho, Arthur
    Lim, Sun Min
    THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY, 2022, 14
  • [8] Predictive value of SUVmax measured by 18F-FDG PET/CT in patients with early stage non-small cell lung cancer
    Qiang, Guangliang
    Xu, Rui
    Yan, Jue
    Yu, Qiduo
    Xiao, Fei
    Song, Zhiyi
    Tian, Yanchu
    Shi, Bin
    Liang, Chaoyang
    Guo, Yongqing
    Liu, Deruo
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2016, 9 (02): : 3353 - 3361
  • [9] Prognostic value of primary tumor SUVmax on pre-treatment 18F-FDG PET/CT imaging in patients with stage III non-small cell lung cancer
    Yilmaz, U.
    Batum, O.
    Koparal, H.
    Ozbilek, E.
    Kirakli, E.
    REVISTA ESPANOLA DE MEDICINA NUCLEAR E IMAGEN MOLECULAR, 2018, 37 (04): : 218 - 222
  • [10] Imaging of proliferation with 18F-FLT PET/CT versus 18F-FDG PET/CT in non-small-cell lung cancer
    Yang, Wenfeng
    Zhang, Yongming
    Fu, Zheng
    Yu, Jinming
    Sun, Xiaorong
    Mu, Dianbin
    Han, Anqin
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2010, 37 (07) : 1291 - 1299