Literature DB >> 25918835

Preliminary comparison of diffusion-weighted MRI and PET/CT in predicting histological type and malignancy of lung cancer.

Li-Peng Liu1, Xin-Xin Zhang1, Long-Biao Cui2, Jie Li1, Juan-Li Yang1, Hai-Nan Yang1, Yan Zhang1, Ying Zhou1, Xing Tang2, Shun Qi2, Yuan Fang1, Jian Zhang1, Hong Yin2.   

Abstract

INTRODUCTION: Emerging evidence shows that diffusion-weighted magnetic resonance imaging (DW MRI) and fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography (18 F-FDG PET/CT) might be useful in predicting histological type and malignancy of lung cancer, and even in specifically detecting the types of gene mutation.
OBJECTIVE: We assessed whether DW MRI is equivalent to PET/CT in lung cancer diagnosis and evaluation.
METHODS: The institutional review board approved this study, and written informed consent was obtained from all patients. DW MRI and FDG PET/CT were performed before therapy in 15 lung cancer patients diagnosed by pathological examination. Apparent diffusion coefficient (ADC), ratio of ADC (rADC = ADC in tumor/ADC in spinal cord) and maximal standardized uptake value (SUVmax ) were assessed.
RESULTS: ADC, rADC and SUVmax did not reveal significant differences among different types of lung cancer. Sensitivity, specificity and accuracy of ADC, rADC and SUVmax proved to be not significantly different in the detection of adenocarcinoma and squamous cell carcinoma. Difference in the abilities of the sensitivity, specificity and accuracy of ADC, rADC and SUVmax to detect adenocarcinoma and squamous cell carcinoma proved to be insignificant. Although Ki-67 score did not show correlation with ADC, rADC and SUVmax , significant positive correlation was found between ADC and rADC, and ADC and SUVmax .
CONCLUSIONS: Both DW MRI and FDG PET/CT had similar limited diagnostic capability of predicting different histological types and malignancy of lung cancer. This study may help provide a novel insight into diagnostic and therapeutic strategies of lung cancer based on DW MRI.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  adenocarcinoma; diffusion-weighted magnetic resonance imaging; fluorine 18 fluorodeoxyglucose positron emission tomography/computed tomography; lung cancer; squamous cell carcinoma

Mesh:

Substances:

Year:  2015        PMID: 25918835     DOI: 10.1111/crj.12316

Source DB:  PubMed          Journal:  Clin Respir J        ISSN: 1752-6981            Impact factor:   2.570


  12 in total

1.  Value of (18)F-FDG-PET/CT in ocular sebaceous adenocarcinoma: a case report and literature review.

Authors:  Xin Zhao; Guang-Fa Wang; Kui Zhao; Hong-Guang Cui; Wei Ding
Journal:  Int J Clin Exp Med       Date:  2015-10-15

Review 2.  Diffusion weighted imaging: Technique and applications.

Authors:  Vinit Baliyan; Chandan J Das; Raju Sharma; Arun Kumar Gupta
Journal:  World J Radiol       Date:  2016-09-28

Review 3.  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

4.  Combining PET/CT with serum tumor markers to improve the evaluation of histological type of suspicious lung cancers.

Authors:  Rifeng Jiang; Ximin Dong; Wenzhen Zhu; Qing Duan; Yunjing Xue; Yanxia Shen; Guopeng Zhang
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

5.  Parameters of simultaneous 18F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer.

Authors:  Alexey Surov; Hans Jonas Meyer; Stefan Schob; Anne-Kathrin Höhn; Kristina Bremicker; Marc Exner; Patrick Stumpp; Sandra Purz
Journal:  Oncotarget       Date:  2017-04-25

6.  Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.

Authors:  Naoko Tsuchiya; Mariko Doai; Katsuo Usuda; Hidetaka Uramoto; Hisao Tonami
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

7.  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

8.  Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 1: ADCmean.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2017-08-24

9.  MRI feature analysis of uncommon prostatic malignant tumors.

Authors:  Zhao-Yan Feng; Xiang-De Min; Liang Wang; Ba-Sen Li; Zan Ke; Pei-Pei Zhang; Zhen Kang
Journal:  Asian J Androl       Date:  2018 May-Jun       Impact factor: 3.285

10.  Influencing Factors and Prognostic Value of 18F-FDG PET/CT Metabolic and Volumetric Parameters in Non-Small Cell Lung Cancer.

Authors:  Lixia Zhang; Zhe Ren; Caiyun Xu; Qiushuang Li; Jinyan Chen
Journal:  Int J Gen Med       Date:  2021-07-21
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