en Radiation Biology Radiation Biology مقاله مروری Review article <div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">The Breast dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is utilized for screening breast cancer (BC) in women with a total lifetime BC risk of greater than 20-25%. This study aimed to assess the DCE-MRI value in predicting response to neoadjuvant chemotherapy (NAC) in BC patients. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Materials and Methods:</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">&nbsp; International databases, including Medline, PubMed, Embase, and Science Direct, were searched with appropriate keywords. Using the binomial distribution formula, the variance of each study was calculated, and the data were analyzed using Stata 14. Finally, the results of the studies were inputted into the random-effect meta-analysis. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Results:</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US"> Sixteen studies, with no recognized publication bias by Begg&rsquo;s test, comprising 1868 patients were involved in this study. The sensitivity of DCE-MRI was 0.693, whereas its specificity was 0.754, with 95% confidence intervals (CI) of 0.560-0.826 and 0.605-0.903, respectively. Based on the random-effect model, the results revealed a pooled positive and negative predictive value of 0.458 and 0.901, with 95% CI of 0.339-0.577 and 0.829-0.972, respectively. The pooled DCE-MRI accuracy in predicting pathologic complete response to NAC was 0.768 (95% CI: 0.720-0.817). Finally, a meta-analysis of 10 reports, revealed a pooled AUC 0.779 (95% CI: 0.702-0.856). </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Conclusion:</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">&nbsp;Overall, the findings of our study revealed that the DCE-MRI is a sensitive and specific method with an acceptable NPV for predicting response to NAC in BC cases.</span></span></span></span></span></span></span></span></span></div> Early prediction, DCE-MRI, Neoadjuvant chemotherapy, Breast cancer. 749 755 http://ijrr.com/browse.php?a_code=A-10-1-1235&slc_lang=en&sid=1 H. Abed Dakhil 7900319475328460028100 7900319475328460028100 No Medical Imaging Techniques, Department of Radiology Technologies, College of Health & Medical Technology, Al-Ayen Iraqi University, Thi-Qar, Iraq A. Arian 7900319475328460028101 7900319475328460028101 No Radiology-TUMS (Cancer Institute-ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran N. Ahmadinejad nahmadinejad@TUMS.ac.ir 7900319475328460028102 7900319475328460028102 Yes Radiology-Medical Imaging Center, Cancer Research Institute, Imam Khomeini Hospital Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran R.A. Bustan Bustan 7900319475328460028103 7900319475328460028103 No Medical Imaging Techniques, Department of Radiology Technologies, College of Health & Medical Technology, Al-Ayen Iraqi University, Thi-Qar, Iraq M.A. Sahib 7900319475328460028104 7900319475328460028104 No Medical Imaging Techniques, Department of Radiology Technologies, College of Health & Medical Technology, Al-Ayen Iraqi University, Thi-Qar, Iraq M. Anjomrooz 7900319475328460028105 7900319475328460028105 No Radiology Department, Shariati Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran