Literature DB >> 21886014

Can ¹⁸F-fluorodeoxyglucose positron emission tomography predict responses to neoadjuvant therapy in oesophageal cancer patients? A meta-analysis.

Yu-mei Chen1, Xu-feng Pan, Lin-jun Tong, Yi-ping Shi, Tao Chen.   

Abstract

OBJECTIVES: Neoadjuvant therapy for the treatment of oesophageal cancer was introduced in an effort to improve prognosis. Response assessment is crucial for the treatment of patients with oesophageal cancer. Currently, ¹⁸F-fluorodeoxyglucose positron emission tomography (¹⁸F-FDG PET) seems to be the best available tool to assess neoadjuvant therapy response in patients with oesophageal cancer. The purpose of this study was to assess the diagnostic value of ¹⁸F-FDG PET for the evaluation of neoadjuvant therapy responses in patients with oesophageal cancer using a meta-analysis. A unified procedure and evaluation standard for ¹⁸F-FDG PET in the assessment of neoadjuvant therapy response should be established.
METHODS: All published English-language studies pertaining to the assessment of neoadjuvant therapy response in patients with oesophageal cancer using ¹⁸F-FDG PET in the MEDLINE and EMBASE databases were collected. The methodological quality of the included studies was evaluated according to the Quality Assessment of Diagnostic Accuracy Studies quality assessment tool. Pooled sensitivity, specificity, diagnostic odds ratios and summary receiver operating characteristic curves were obtained using statistical software.
RESULTS: Thirteen studies included in the meta-analysis fulfilled the inclusion criteria of the Quality Assessment of Diagnostic Accuracy Studies quality assessment tool. The pooled sensitivity, specificity and diagnostic odds ratios for F-¹⁸FDG PET in the evaluation of neoadjuvant therapy response in patients with oesophageal cancer were 70.3% [95% confidence interval (CI): 64.4-75.8], 70.1% (95% CI: 65.1-74.8) and 9.389 (95% CI: 3.482-25.319), respectively. The area under the curve and the Q value for the summary receiver operating characteristic curve were 0.8244 and 0.7575, respectively.
CONCLUSION: ¹⁸F-FDG PET has some value in the assessment of neoadjuvant therapy response in patients with oesophageal cancer. A 50% reduction in standardized uptake value between pretherapy and posttherapy positron emission tomography scans performed in the first 2 weeks after the initiation of neoadjuvant therapy is the optimal condition for predicting a response to neoadjuvant therapy in patients with oesophageal cancer.

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Year:  2011        PMID: 21886014     DOI: 10.1097/MNM.0b013e32834a8366

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  16 in total

1.  A nomogram that predicts pathologic complete response to neoadjuvant chemoradiation also predicts survival outcomes after definitive chemoradiation for esophageal cancer.

Authors:  Steven H Lin; Jingya Wang; Pamela K Allen; Arlene M Correa; Dipen M Maru; Stephen G Swisher; Wayne L Hofstetter; Zhongxing Liao; Jaffer A Ajani
Journal:  J Gastrointest Oncol       Date:  2015-02

2.  Prognostic and predictive values of interim 18F-FDG PET during neoadjuvant chemoradiotherapy for esophageal cancer: a systematic review and meta-analysis.

Authors:  Sangwon Han; Yong-Il Kim; Sungmin Woo; Tae-Hyung Kim; Jin-Sook Ryu
Journal:  Ann Nucl Med       Date:  2021-01-20       Impact factor: 2.668

3.  On predicting clinical response to chemoradiotherapy in esophageal squamous cell carcinoma: additional evaluation by magnetic resonance imaging may help.

Authors:  Ta-Chen Huang; Chih-Hung Hsu
Journal:  Ann Transl Med       Date:  2017-12

Review 4.  Predictive factors in the evaluation of treatment response to neoadjuvant chemoradiotherapy in patients with advanced esophageal squamous cell cancer.

Authors:  Claudia Wong; Simon Law
Journal:  J Thorac Dis       Date:  2017-07       Impact factor: 2.895

5.  Patient perspectives on repeated MRI and PET/CT examinations during neoadjuvant treatment of esophageal cancer.

Authors:  Lucas Goense; Alicia S Borggreve; Sophie E Heethuis; Astrid Lhmw van Lier; Richard van Hillegersberg; Stella Mook; Gert J Meijer; Peter S N van Rossum; Jelle P Ruurda
Journal:  Br J Radiol       Date:  2018-03-14       Impact factor: 3.039

6.  Multimodal Imaging of Pathologic Response to Chemoradiation in Esophageal Cancer.

Authors:  Penny Fang; Benjamin C Musall; Jong Bum Son; Amy C Moreno; Brian P Hobbs; Brett W Carter; Bryan M Fellman; Osama Mawlawi; Jingfei Ma; Steven H Lin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-03-02       Impact factor: 7.038

Review 7.  Surveillance versus esophagectomy in esophageal cancer patients with a clinical complete response after induction chemoradiation.

Authors:  Tara R Semenkovich; Bryan F Meyers
Journal:  Ann Transl Med       Date:  2018-02

8.  Is 18F-FDG-PET useful for predicting R0 resection after induction therapy for initially unresectable locally advanced esophageal carcinoma?

Authors:  Keijiro Sugimura; Hiroshi Miyata; Masahiko Yano; Yoshitomo Yanagimoto; Moon Jeong Ho; Shogo Kobayashi; Hidenori Takahashi; Takeshi Omori; Masayuki Ohue; Masato Sakon
Journal:  Gen Thorac Cardiovasc Surg       Date:  2017-06-05

9.  Preoperative Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Cancer Using 18F-FDG PET/CT and DW-MRI: A Prospective Multicenter Study.

Authors:  Alicia S Borggreve; Lucas Goense; Peter S N van Rossum; Sophie E Heethuis; Richard van Hillegersberg; Jan J W Lagendijk; Marnix G E H Lam; Astrid L H M W van Lier; Stella Mook; Jelle P Ruurda; Marco van Vulpen; Francine E M Voncken; Berthe M P Aleman; Annemarieke Bartels-Rutten; Jingfei Ma; Penny Fang; Benjamin C Musall; Steven H Lin; Gert J Meijer
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-25       Impact factor: 7.038

10.  Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma.

Authors:  Zhen Hou; Shuangshuang Li; Wei Ren; Juan Liu; Jing Yan; Suiren Wan
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

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