J Cancer 2023; 14(16):3108-3116. doi:10.7150/jca.88367 This issue Cite

Research Paper

Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients

Wenxiu Guo1#, Binglin Lv2, Tao Yang3, Mimi Tian1,3, MengXiao Liu4, XiangTao Lin1,3✉, Peng Zhao1,3✉

1. Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 250021, China.
2. Department of Radiology, QiLu Hospital of Shandong University, Jinan, Shandong Province, 250012, China.
3. Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong Province, 250021, China.
4. MR Scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd., Shanghai, 200126, China.
#Wenxiu Guo is the first author of this study.

Citation:
Guo W, Lv B, Yang T, Tian M, Liu M, Lin X, Zhao P. Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients. J Cancer 2023; 14(16):3108-3116. doi:10.7150/jca.88367. https://www.jcancer.org/v14p3108.htm
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Abstract

Graphic abstract

Objective: The aim of this study is to determine whether dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-based quantitative parameters and the extracellular volume fraction (ECV) can differentiate small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC), squamous-cell carcinoma (SCC) from adenocarcinoma (Adeno-Ca), and NSCLC with lymph node metastasis from NSCLC without lymph node metastasis.

Materials and methods: We prospectively enrolled patients with lung cancer (41 Adeno-Ca, 29 SCC, and 23 SCLC) who underwent DCE-MRI and enhanced T1 mapping prior to histopathological confirmation. Quantitative parameters based on DCE-MRI and ECV based on T1 mapping were compared between SCLC and NSCLC patients, between SCC and Adeno-Ca patients, and between NSCLC patients with and without lymph node metastasis. The area under the receiver-operating characteristic curve (AUC) was used to evaluate the diagnostic performance of each parameter. Spearman rank correlation was used to clarify the associations between ECV and DCE-MRI-derived parameters.

Results: Ktrans, Kep, Ve, and ECV all performed well in differentiating SCLC from NSCLC (AUC > 0.729). Ktrans showed the best performance in differentiating SCC from Adeno-Ca (AUC = 0.836). ECV could differentiate NSCLCs with and without lymph node metastases (AUC = 0.764). ECV showed a significant positive correlation with both Ktrans and Ve.

Conclusions: Ktrans is the most promising imaging parameter to differentiate SCLC from NSCLC, and Adeno-Ca from SCC. ECV was helpful in detecting lymph node metastasis in NSCLC. These imaging parameters may help guide the selection of lung cancer treatment.

Keywords: Lung cancer, Dynamic contrast-enhanced MRI, Extracellular volume fraction, Lymph node


Citation styles

APA
Guo, W., Lv, B., Yang, T., Tian, M., Liu, M., Lin, X., Zhao, P. (2023). Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients. Journal of Cancer, 14(16), 3108-3116. https://doi.org/10.7150/jca.88367.

ACS
Guo, W.; Lv, B.; Yang, T.; Tian, M.; Liu, M.; Lin, X.; Zhao, P. Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients. J. Cancer 2023, 14 (16), 3108-3116. DOI: 10.7150/jca.88367.

NLM
Guo W, Lv B, Yang T, Tian M, Liu M, Lin X, Zhao P. Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients. J Cancer 2023; 14(16):3108-3116. doi:10.7150/jca.88367. https://www.jcancer.org/v14p3108.htm

CSE
Guo W, Lv B, Yang T, Tian M, Liu M, Lin X, Zhao P. 2023. Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameters and Extracellular Volume Fraction as Predictors of Lung Cancer Subtypes and Lymph Node Status in Non-Small-Cell Lung Cancer Patients. J Cancer. 14(16):3108-3116.

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