International Journal of General Medicine (Jul 2022)
Diagnostic Value of Multimodal Magnetic Resonance Imaging in Discriminating Between Metastatic and Non-Metastatic Pelvic Lymph Nodes in Cervical Cancer
Abstract
Jian Xu,1,* Yingli Ma,2,* Haibing Mei,1 Qimin Wang1 1Department of Radiology, Ningbo Women & Children’s Hospital, Ningbo, People’s Republic of China; 2Department of Neurology, Ningbo Hospital of Traditional Chinese Medicine, Ningbo, People’s Republic of China*These authors contributed equally to this workCorrespondence: Haibing Mei, Department of Radiology, Ningbo Women & Children’s Hospital, Ningbo, People’s Republic of China, Email [email protected]: The status of pelvic lymph node (PLN) metastasis affects treatment and prognosis plans in patients with cervical cancer. However, it is hard to be diagnosed in clinical practice.Purpose: The present study aimed to evaluate the diagnostic value of multimodal magnetic resonance imaging (MRI) in discriminating between metastatic and non-metastatic pelvic lymph nodes (PLNs) in cervical cancer.Methods: This retrospective study analyzed MRIs of 209 PLNs in 25 women with pathologically proven cervical cancer. All PLNs had been assessed by pre-treatment multimodal MRIs, and their status was finally confirmed by histopathology. In conventional MRI, lymph node characteristics were compared between metastatic and non-metastatic PLNs. Signal intensity, time–intensity curve (TIC) patterns minimal and mean apparent diffusion coefficients (ADC) were compared between them in DWI. In DCE-MRI, quantitative (Ktrans, Kep and Ve) analyses were performed on DCE-MRI sequences, and their predictive values were analyzed by ROC curves.Results: Of 209 PLNs, 22 (10.53%) were metastases and 187 (89.47%) were non-metastases at histopathologic examination. Considering a comparison of lymph node characteristics, the short axis size, the long axis size, and the boundary differed significantly between the two groups (P< 0.05).The differences in ADCmin, TIC types, Ktrans and Ve between metastatic and non-metastatic PLNs were significant as well (P< 0.05). The good diagnostic performance of multimodal MRI was shown in discriminating between metastatic and non-metastatic PLNs, with the sensitivity of 85.0% (17/20), specificity of 97.3% (184/189), and accuracy of 96.2% (201/209). ROC analyses showed that the diagnostic accuracy of ADCmin, Ktrans and Ve for discriminating between metastatic and non-metastatic PLNs in cervical cancer was 83.7%, 91.4%, and 92.4% with the cut-off values of 0.72 × 10− 3mm2/s, 0.52 min− 1, and 0.53 min− 1, respectively.Conclusion: Multimodal MRI showed good diagnostic performance in determining PLN status in cervical cancer.Keywords: multimodal magnetic resonance imaging, cervical cancer, lymphatic metastasis, apparent diffusion coefficient
