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Research progress of diffusion-weighted magnetic resonance imaging technology in the diagnosis and treatment of lung cancer
DONG Ziyan  LI Yuxuan  SHI Xinying  ZHENG Wenjing  LIU Xiaoqin  LUO Xin  CAO Jinfeng 

DOI:10.12015/issn.1674-8034.2025.08.032.


[Abstract] As one of the most threatening malignant tumors in the world, lung cancer has a very high incidence rate and mortality, and poses a serious threat to human health. Its early diagnosis and treatment can help improve the survival rate of patients. Traditional chest computed tomography (CT) is still the main imaging examination method for lung cancer diagnosis, but CT scanning has certain radiation and can only provide morphological features of the tumor. With the continuous development of magnetic resonance imaging (MRI) technology, diffusion-weighted magnetic resonance imaging technology has gradually been applied to lung cancer. It can not only provide morphological features of tumors but also functional features, greatly improving the diagnostic performance of lung cancer. This article will review various magnetic resonance diffusion-weighted imaging techniques in the differential diagnosis, pathological classification, gene mutation prediction, and treatment efficacy evaluation of lung cancer, and summarize the limitations of current research and point out future research directions,in order to provide new ideas for the diagnosis and treatment of lung cancer in the future, and promote the development of diffusion-weighted imaging technology in the diagnosis and treatment of lung cancer.
[Keywords] lung cancer；diffusion-weighted magnetic resonance imaging technology；differential diagnosis；pathological typing；treatment efficacy

DONG Ziyan1, 2   LI Yuxuan1, 2   SHI Xinying2, 3   ZHENG Wenjing2, 3   LIU Xiaoqin2, 3   LUO Xin2   CAO Jinfeng2*  

1 School of Medical Imaging, Shandong Second Medical University, Weifang 261053, China

2 Department of Radiology, Zibo Central Hospital, Zibo 255000, China

3 School of Medical Imaging, Binzhou Medical University, Yantai 264003, China

Corresponding author: CAO J F, E-mail: cjf19810629@163.com

Conflicts of interest   None.

Received  2025-05-14
Accepted  2025-08-08
DOI: 10.12015/issn.1674-8034.2025.08.032
DOI:10.12015/issn.1674-8034.2025.08.032.

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