en Radiation Biology Radiation Biology تحقيق بديع Original Research <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">To analyze the diagnostic efficiency of DCE-MRI combined with DWI for breast cancer and the relationship between imaging characteristics and molecular biological markers. </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"> A total of 120 patients with suspected breast lesions in the hospital were enrolled between January 2021 and October 2023, all underwent MRI examination to obtain DCE-MRI and DWI data. Taking results of pathological diagnosis as the golden standard, diagnostic efficiency of DCE-MRI combined with DWI for breast cancer was analyzed by Kappa consistency test. The expressions of ER, PR, HER-2 and Ki-67 in cancer tissues was detected by immunohistochemistry. The relationship between DCE-MRI, DWI characteristics and molecular biological markers was analyzed. </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">The consistency Kappa value between MRI and pathology 0.817, and its sensitivity, specificity and accuracy were 96.05%, 84.09% and 91.67%, respectively. In patients with breast cancer, tumor diameter was significantly correlated with the expressions of ER, HER-2 and Ki-67 in cancer tissues, tumor morphology was significantly correlated with the expressions of ER, PR, HER-2 and Ki-67, tumor margin was significantly correlated with the expressions of ER and PR, TIC type was significantly correlated with Ki-67 expression, EPER was significantly correlated with HER-2 expression, TTP was significantly correlated with Ki-67 expression, ADC value was significantly correlated with Ki-67 expression, and the above differences were statistically significant (P<0.05). </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">DCE-MRI combined with DWI has high diagnostic efficiency for breast cancer, and their imaging characteristics are related to molecular biological markers to some extent. Imaging examination can further reflect biological behaviors of breast cancer indirectly.</span></span></span></span></span></span></span></span></span></div> Breast cancer, dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, molecular biology, marker. 955 961 http://ijrr.com/browse.php?a_code=A-10-1-1263&slc_lang=en&sid=1 F. Guo 7900319475328460028629 7900319475328460028629 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China L. Zhu 7900319475328460028630 7900319475328460028630 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China C. Ma 7900319475328460028631 7900319475328460028631 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China M. Zou 7900319475328460028632 7900319475328460028632 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China Y. Gao 7900319475328460028633 7900319475328460028633 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China N. Lv 7900319475328460028634 7900319475328460028634 No Department of Radiology, the First Affiliated Hospital of Bengbu Medical University, Bengbu, China Q. Qi qq233003@163.com 7900319475328460028635 7900319475328460028635 Yes School of Basic Medicine, Bengbu Medical University, Bengbu, China