Literature DB >> 33258746

Comparison of 68Ga-FAPI and 18F-FDG Uptake in Gastric, Duodenal, and Colorectal Cancers.

Yizhen Pang1, Liang Zhao1, Zuoming Luo1, Bing Hao1, Hua Wu1, Qin Lin1, Long Sun1, Haojun Chen1.   

Abstract

Background Accurate clinical staging is crucial to managing gastrointestinal cancer, but fluorine 18 (18F) fluorodeoxyglucose (FDG) PET/CT has limitations. Targeting fibroblast-activation protein is a newer diagnostic approach for the visualization of tumor stroma, and gallium 68 (68Ga)-labeled fibroblast-activation protein inhibitors (FAPIs), hereafter 68Ga-FAPIs, present a promising alternative to 18F-FDG. Purpose To compare the diagnostic efficacy of 68Ga-FAPI PET/CT in primary and metastatic lesions of gastrointestinal malignancies with that of 18F-FDG PET/CT. Materials and Methods Images from patients with gastric, duodenal, and colorectal cancers who underwent contemporaneous 18F-FDG and 68Ga-FAPI PET/CT between October 2019 through June 2020 were retrospectively analyzed. 18F-FDG and 68Ga-FAPI uptakes were compared by using the Wilcoxon signed-rank test. The McNemar test was used to compare the diagnostic performance between the two techniques. Results Thirty-five patients (median age, 64 years [interquartile range, 53-68 years]; 18 men) were evaluated. In treatment-naive patients (n = 19), 68Ga-FAPI PET/CT led to upstaging of the clinical TNM stage in four (21%) patients compared with 18F-FDG PET/CT. Tracer uptake was higher with 68Ga-FAPI PET/CT than with 18F-FDG PET/CT in primary lesions (gastric cancer: 12.7 vs 3.7, respectively, P = .003; colorectal cancer: 15.9 vs 7.9, P = .03), involved lymph nodes (6.7 vs 2.4, P < .001), and bone and visceral metastases (liver metastases: 9.7 vs 5.2, P < .001; peritoneal metastases: 8.4 vs 3.6, P < .001; bone metastases: 4.3 vs 2.2, P < .001; lung metastases: 4.4 vs 1.9, P = .01). In addition, the sensitivity of 68Ga-FAPI PET/CT was higher than that of 18F-FDG PET/CT in the detection of primary tumors (100% [19 of 19] vs 53% [10 of 19], respectively; P = .004), lymph nodes (79% [22 of 28] vs 54% [15 of 28], P < .001), and bone and visceral metastases (89% [31 of 35] vs 57% [20 of 35], P < .001). Conclusion Gallium 68 fibroblast-activation protein inhibitor PET/CT was superior to fluorine 18 fluorodeoxyglucose PET/CT in the detection of primary and metastatic lesions in gastric, duodenal, and colorectal cancers, with higher tracer uptake in most primary and metastatic lesions. Published under a CC BY 4.0 license.

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Year:  2020        PMID: 33258746     DOI: 10.1148/radiol.2020203275

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  30 in total

1.  Fibroblast activation protein in the tumor microenvironment predicts outcomes of PD-1 blockade therapy in advanced non-small cell lung cancer.

Authors:  Yan Zhao; Yueping Liu; Yunlong Jia; Xiaoxiao Wang; Jiankun He; Shuman Zhen; Jiali Wang; Lihua Liu
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-11       Impact factor: 4.322

2.  Gallium-68-labeled fibroblast activation protein inhibitor PET in gastrointestinal cancer: insights into diagnosis and management.

Authors:  Chunxia Qin; Yangmeihui Song; Yongkang Gai; Weiwei Ruan; Qingyao Liu; Fang Liu; Danzha Zheng; Peng Zhang; Hongli Liu; Tao Zhang; Kaixiong Tao; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-06-03       Impact factor: 10.057

3.  [18F]FAPI-42 PET/CT versus [18F]FDG PET/CT for imaging of recurrent or metastatic gastrointestinal stromal tumors.

Authors:  Chunhui Wu; Xinhua Zhang; Yu Zeng; Renbo Wu; Li Ding; Yanzhe Xia; Zhifeng Chen; Xiangsong Zhang; Xiaoyan Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-30       Impact factor: 10.057

4.  Comparison of Diagnostic Efficacy of [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT for Staging and Restaging of Gastric Cancer.

Authors:  Shumao Zhang; Wei Wang; Tingting Xu; Haoyuan Ding; Yi Li; Huipan Liu; Yinxue Huang; Lin Liu; Tao Du; Yan Zhao; Yue Chen; Lin Qiu
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

5.  Comparison of 68Ga-FAPI and 18F-FDG PET/CT in the Evaluation of Patients With Newly Diagnosed Non-Small Cell Lung Cancer.

Authors:  Junhao Wu; Hao Deng; Haoshu Zhong; Tao Wang; Zijuan Rao; Yingwei Wang; Yue Chen; Chunyin Zhang
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

6.  State-of-the-art of FAPI-PET imaging: a systematic review and meta-analysis.

Authors:  Martina Sollini; Margarita Kirienko; Fabrizia Gelardi; Francesco Fiz; Noemi Gozzi; Arturo Chiti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06-25       Impact factor: 9.236

7.  68Ga-DOTA-FAPI-04 PET/MR in the Evaluation of Gastric Carcinomas: Comparison with 18F-FDG PET/CT.

Authors:  Chunxia Qin; Fuqiang Shao; Yongkang Gai; Qingyao Liu; Weiwei Ruan; Fang Liu; Fan Hu; Xiaoli Lan
Journal:  J Nucl Med       Date:  2021-04-16       Impact factor: 11.082

8.  Fibroblast activation protein identifies Consensus Molecular Subtype 4 in colorectal cancer and allows its detection by 68Ga-FAPI-PET imaging.

Authors:  Esther Strating; Emma Wassenaar; Mathijs Verhagen; Paulien Rauwerdink; Susanne van Schelven; Ignace de Hingh; Inne Borel Rinkes; Djamila Boerma; Arjen Witkamp; Miangela Lacle; Riccardo Fodde; Richard Volckmann; Jan Koster; Kris Stedingk; Frederik Giesel; Remmert de Roos; Alex Poot; Guus Bol; Marnix Lam; Sjoerd Elias; Onno Kranenburg
Journal:  Br J Cancer       Date:  2022-03-16       Impact factor: 9.075

9.  Increased uptake of 68Ga-DOTA-FAPI-04 in bones and joints: metastases and beyond.

Authors:  Chunxia Qin; Yangmeihui Song; Xi Liu; Yongkang Gai; Qingyao Liu; Weiwei Ruan; Fang Liu; Fan Hu; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-07-09       Impact factor: 10.057

10.  Head-to-head evaluation of [18F]FDG and [68 Ga]Ga-DOTA-FAPI-04 PET/CT in recurrent soft tissue sarcoma.

Authors:  Bingxin Gu; Xin Liu; Shuoer Wang; Xiaoping Xu; Xiaosheng Liu; Silong Hu; Wangjun Yan; Zhiguo Luo; Shaoli Song
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-02-03       Impact factor: 10.057

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