Exploring the Evolution of the Topics and Emerging Trends of MRI in Breast Cancer: A Bibliometric Analysis From 2000 to 2021

Objective: This study aims to provide a systematic and complete knowledge map for research trend and collaboration status within the field of magnetic resonance imaging (MRI) and breast cancer. Methods: : Using the WOS database, 6640 articles were obtained through search strategies which were published from 2000 to 2021 in the field of MRI and breast cancer. The exported data were analyzed utilizing specific parameters with the help of bibliometric and science mapping software: VOSviewer and Gephi. Results: : The publication output in the field of MRI and breast cancer growth steadily over the past two decades and it varied from different countries with the USA being far ahead of other countries. The paper output and international collaboration are mainly distributed in some countries like the USA, China and Germany. The Memorial Sloan Kettering Cancer Center, University of California San Francisco and MD Anderson Cancer Center have high academic influence in the field of MRI and breast cancer. Keywords mining reveals that deep learning, radiomics, convolutional neural network, artificial intelligence, nomogram, machine learning and radiogenomics are the research hotspots in the MRI and breast cancer related literature in recent years. Conclusion: This bibliometric study used a massive volume of bibliographic data to decipher the develop status, research collaboration, along with the research frontier and hotspot in the field of MRI and breast cancer. In this way, we provide insights into overall landscape of the literature and locate pertinent information for research interests of related scholars.