Diffusion-weighted imaging in identifying breast cancer pathological response to neoadjuvant chemotherapy: A meta-analysis
| Autor: | Chengjun Geng, Weiwei Jin, Lihua Chen, Xuequan Huang, Wei Chu, Daihong Liu, Jian Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Oncology
medicine.medical_specialty Receiver operating characteristic business.industry diffusion-weighted imaging Subgroup analysis Publication bias medicine.disease Likelihood ratios in diagnostic testing Confidence interval 030218 nuclear medicine & medical imaging 03 medical and health sciences breast cancer 0302 clinical medicine Breast cancer 030220 oncology & carcinogenesis Internal medicine Meta-analysis medicine Diagnostic odds ratio magnetic resonance imaging business Meta-Analysis neoadjuvant chemotherapy |
| Zdroj: | Oncotarget |
| ISSN: | 1949-2553 |
| Popis: | // Wei Chu 1, * , Weiwei Jin 2, * , Daihong Liu 3 , Jian Wang 3 , Chengjun Geng 4 , Lihua Chen 4 and Xuequan Huang 3 1 Department of Radiology, Wuxi Huishan District People’s Hospital, Jiangsu Province, 214187, China 2 Department of Radiology, Wuxi Second Traditional Chinese Medicine Hospital, Jiangsu Province, 214121, China 3 Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China 4 Department of Radiology, PLA No.101 Hospital, Wuxi, Jiangsu Province, 214044, China * These authors contributed equally to this work Correspondence to: Xuequan Huang, email: hxuequan@163.com Lihua Chen, email: clhaaa2002@163.com Keywords: magnetic resonance imaging; diffusion-weighted imaging; neoadjuvant chemotherapy; breast cancer; meta-analysis Received: October 27, 2017 Accepted: December 01, 2017 Published: December 11, 2017 ABSTRACT Background: Diffusion-weighted imaging (DWI) is increasingly used to identify pathological complete responses (pCRs) to neoadjuvant chemotherapy (NAC) in breast cancer. The aim of the present study was to assess the utility of DWI using a pooled analysis. Materials and Methods: Literature databases were searched prior to July 2017. Fifteen studies with a total of 1181 patients were included. The data were extracted to perform pooled analysis, heterogeneity testing, threshold effect testing, sensitivity analysis, publication bias analysis and subgroup analyses. Result: The methodological quality was moderate. Remarkable heterogeneity was detected, primarily due to a threshold effect. The pooled weighted values were a sensitivity of 0.88 (95% confidence interval (CI): 0.81, 0.92), a specificity of 0.79 (95% CI: 0.70, 0.86), a positive likelihood ratio of 4.1 (95% CI: 2.9, 5.9), a negative likelihood ratio of 0.16 (95% CI: 0.10, 0.24), and a diagnostic odds ratio of 26 (95% CI: 15, 46). The area under the receiver operator characteristic curve was 0.91 (95% CI: 0.88, 0.93). In the subgroup analysis, the pooled specificity of change in the apparent diffusion coefficient (ADC) subgroup was higher than that in the pre-treatment ADC subgroup (0.80 [95% CI: 0.71, 087] vs. 0.63 [95% CI: 0.52, 0.73], P = 0.027). Conclusions: DWI may be an accurate and nonradioactive imaging technique for identifying pCRs to NAC in breast cancer. Nonetheless, there are a variety of issues when assessing DWI techniques for estimating breast cancer responses to NAC, and large scale and well-designed clinical trials are needed to assess the technique’s diagnostic value. |
| Databáze: | OpenAIRE |
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