Literature DB >> 23893610

DW MRI at 3.0 T versus FDG PET/CT for detection of malignant pulmonary tumors.

Jian Zhang1, Long-Biao Cui, Xing Tang, Xin-Ling Ren, Jie-Ran Shi, Hai-Nan Yang, Yan Zhang, Zhi-Kui Li, Chang-Gui Wu, Wen Jian, Feng Zhao, Xin-Yu Ti, Hong Yin.   

Abstract

Emerging evidence suggests that diffusion-weighted magnetic resonance imaging (DW MRI) could be useful for tumor detection with N and M staging of lung cancer in place of fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). DW MRI at 3.0 T and FDG PET/CT were performed before therapy in 113 patients with pulmonary nodules. Mean apparent diffusion coefficient (ADC), maximal standardized uptake value (SUVmax ) and Ki-67 scores were assessed. Quantitatively, specificity and accuracy of ADC (91.7 and 92.9%, respectively) were significantly higher than those of SUVmax (66.7 and 77.9% respectively, p < 0.05), although sensitivity was not significantly different between them (93.5 and 83.1%, p > 0.05). Qualitatively, sensitivity, specificity and accuracy of DW MRI (96.1, 83.3 and 92.0%, respectively) were also not significantly different from that of FDG PET/CT (88.3, 83.3 and 86.7%, respectively, p > 0.05). Significant negative correlation was found between Ki-67 score and ADC (r = -0.66, p < 0.05), ADC and SUVmax (r = -0.37, p < 0.05), but not between Ki-67 score and SUVmax (r = -0.11, p > 0.05). In conclusion, quantitative and qualitative assessments for detection of malignant pulmonary tumors with DW MRI at 3.0 T are superior to those with FDG PET/CT. Furthermore, ADC could predict the malignancy of lung cancer.
© 2013 UICC.

Entities:  

Keywords:  DW MRI; FDG PET/CT; assessment; lung cancer

Mesh:

Year:  2013        PMID: 23893610     DOI: 10.1002/ijc.28394

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  14 in total

1.  Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis.

Authors:  Guohua Shen; Zhiyun Jia; Houfu Deng
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

2.  Correlation of diffusion MRI with the Ki-67 index in non-small cell lung cancer.

Authors:  Adem Karaman; Irmak Durur-Subasi; Fatih Alper; Omer Araz; Mahmut Subasi; Elif Demirci; Mevlut Albayrak; Gökhan Polat; Metin Akgun; Nevzat Karabulut
Journal:  Radiol Oncol       Date:  2015-08-21       Impact factor: 2.991

Review 3.  Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis.

Authors:  Stephen A Deppen; Jeffrey D Blume; Clark D Kensinger; Ashley M Morgan; Melinda C Aldrich; Pierre P Massion; Ronald C Walker; Melissa L McPheeters; Joe B Putnam; Eric L Grogan
Journal:  JAMA       Date:  2014-09-24       Impact factor: 56.272

4.  Comparing the diagnostic value of 18F-FDG-PET/CT versus CT for differentiating benign and malignant solitary pulmonary nodules: a meta-analysis.

Authors:  Yuzhu Jia; Wanfeng Gong; Zhiping Zhang; Gaofeng Tu; Jiapeng Li; Fanfan Xiong; Hongtao Hou; Yunyi Zhang; Meiqian Wu; Liping Zhang
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

5.  Diagnostic performance of diffusion-weighted magnetic resonance imaging in pulmonary malignant lesions: a meta-analysis.

Authors:  Ning Chang; Xiao-Hui Wang; Long-Biao Cui; Hong Yin; Tao Jiang; Fu-Lin Chen; Li-Peng Liu; Jian Zhang
Journal:  Transl Lung Cancer Res       Date:  2019-12

Review 6.  A review on tumor heterogeneity and evolution in multiple myeloma: pathological, radiological, molecular genetics, and clinical integration.

Authors:  Christian M Schürch; Leo Rasche; Leonie Frauenfeld; Niels Weinhold; Falko Fend
Journal:  Virchows Arch       Date:  2019-12-17       Impact factor: 4.064

7.  Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis.

Authors:  Sheng-Ming Deng; Wei Zhang; Bin Zhang; Yin-Yin Chen; Ji-Hui Li; Yi-Wei Wu
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

Review 8.  Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease.

Authors:  Shengming Deng; Zhifang Wu; Yiwei Wu; Wei Zhang; Jihui Li; Na Dai; Bin Zhang; Jianhua Yan
Journal:  Contrast Media Mol Imaging       Date:  2017-02-26       Impact factor: 3.161

9.  The value of 18F-FDG-PET/CT in the diagnosis of solitary pulmonary nodules: A meta-analysis.

Authors:  Zhen-Zhen Li; Ya-Liang Huang; Hong-Jun Song; You-Juan Wang; Yan Huang
Journal:  Medicine (Baltimore)       Date:  2018-03       Impact factor: 1.889

10.  Standardized Uptake Values Derived from 18F-FDG PET May Predict Lung Cancer Microvessel Density and Expression of KI 67, VEGF, and HIF-1α but Not Expression of Cyclin D1, PCNA, EGFR, PD L1, and p53.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Contrast Media Mol Imaging       Date:  2018-06-06       Impact factor: 3.161

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