scholarly journals Diffusion-weighted magnetic resonance imaging for the detection of metastatic lymph nodes in patients with lung cancer: A meta-analysis

2017 ◽  
Vol 6 (3) ◽  
pp. 344-354 ◽  
Author(s):  
Guang-Xiang Chen ◽  
Mao-Hua Wang ◽  
Ting Zheng ◽  
Guang-Cai Tang ◽  
Fu-Gang Han ◽  
...  
2020 ◽  
Vol 61 (11) ◽  
pp. 1580-1586
Author(s):  
Arvin Arian ◽  
Ahmed Mohamedbaqer Easa ◽  
Mehran Arab-Ahmadi

Background Researchers have recently focused on assessing the accuracy of diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting pelvic lymph node metastases in gynecological malignancies. Purpose To evaluate the diagnostic value of DW-MRI in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer patients. Material and Methods This retrospective database study was conducted with 33 women aged 30–84 years with pathologically proven endometrial cancer that had been assessed by DW-MRI before their first treatment initiation at our referral hospital from March 2016 to April 2019. The diffusion technique (b = 50, 400, and 1000 mm2/s) was used in the imaging, and continuous apparent diffusion coefficient (ADC) metrics (ADCmin, ADCmax, ADCmean, ADCSD, and rADC) were compared between the metastatic and non-metastatic lymph nodes. Results In total, 48 lymph nodes from 33 patients were assessed. All metastatic lymph nodes were restricted, while among the non-metastatic lymph nodes, only 19.3% were restricted. Considering pathological reports of metastatic and non-metastatic lymph nodes as the gold standard, DWI-related restricted and non-restricted features had a sensitivity of 80.6%, a specificity of 100%, and an accuracy of 87.5% to discriminate between a metastatic and non-metastatic pattern. ADC metrics of ADCmin, ADCmax, ADCmean, ADCSD, and rADC showed high values enabling differentiation between metastatic and non-metastatic lymph nodes. The best cut-off values were 0.7 × 10−3, 1.2 × 10−3, 1.01 × 10−3, 123, and 0.78, respectively. Conclusion DW-MRI is a useful quantitative tool for differentiating between metastatic and benign lymph nodes in endometrial cancer patients.


2021 ◽  
Vol 54 (4) ◽  
pp. 225-231
Author(s):  
Francisco de Souza Santos ◽  
Nupur Verma ◽  
Guilherme Watte ◽  
Edson Marchiori ◽  
Tan-Lucien H. Mohammed ◽  
...  

Abstract Objective: To establish the diagnostic performance of diffusion-weighted magnetic resonance imaging (DWI) in discriminating malignant from non-malignant thoracic lymph nodes. Materials and Methods: This was a meta-analysis involving systematic searches of the MEDLINE, EMBASE, and Web of Science databases up through April 2020. Studies reporting thoracic DWI and lymph node evaluation were included. The pooled sensitivity, specificity, diagnostic odds ratio, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC) were calculated. Results: We evaluated six studies, involving a collective total of 356 mediastinal lymph nodes in 214 patients. Thoracic DWI had a pooled sensitivity and specificity of 92% (95% confidence interval [95% CI]: 71-98%) and 93% (95% CI: 79-98%), respectively. The positive and negative likelihood ratios were 13.2 (95% CI: 4.0-43.8) and 0.09 (95% CI: 0.02-0.36), respectively. The diagnostic odds ratio was 149 (95% CI: 18-1,243), and the AUC was 0.97 (95% CI: 0.95-0.98). Conclusion: DWI is a reproducible technique and has demonstrated high accuracy for differentiating between malignant and benign states in thoracic lymph nodes.


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