Diagnostic Usefulness of Diffusion-Weighted MRI for Axillary Lymph Node Evaluation in Patients with Breast Cancer.
Pyeonghwa ChoChang Suk ParkGa Eun ParkSung-Hun KimHyeon Sook KimSe Jeong OhPublished in: Diagnostics (Basel, Switzerland) (2023)
This study aimed to determine whether apparent diffusion coefficient (ADC) and morphological features on diffusion-weighted MRI (DW-MRI) can discriminate metastatic axillary lymph nodes (ALNs) from benign in patients with breast cancer. Two radiologists measured ADC, long and short diameters, long-to-short diameter ratio, and cortical thickness and assessed eccentric cortical thickening, loss of fatty hilum, irregular margin, asymmetry in shape or number, and rim sign of ALNs on DW-MRI and categorized them into benign or suspicious ALNs. Pathologic reports were used as a reference standard. Statistical analysis was performed using the Mann-Whitney U test and chi-square test. Overall sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of DW-MRI were calculated. The ADC of metastatic ALNs was 0.905 × 10 -3 mm 2 /s, and that of benign ALNs was 0.991 × 10 -3 mm 2 /s ( p = 0.243). All morphologic features showed significant difference between the two groups. The sensitivity, specificity, PPV, NPV, and diagnostic accuracy of the final categorization on DW-MRI were 77.1%, 93.3%, 79.4%, 92.5%, and 86.2%, respectively. Our results suggest that morphologic evaluation of ALNs on DWI can discriminate metastatic ALNs from benign. The ADC value of metastatic ALNs was lower than that of benign nodes, but the difference was not statistically significant.
Keyphrases
- contrast enhanced
- diffusion weighted
- diffusion weighted imaging
- lymph node
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- squamous cell carcinoma
- neoadjuvant chemotherapy
- small cell lung cancer
- sentinel lymph node
- machine learning
- optical coherence tomography
- artificial intelligence
- resistance training