{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:16:17Z","timestamp":1780586177510,"version":"3.54.1"},"reference-count":38,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T00:00:00Z","timestamp":1676246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background: To assess the diagnostic performance of diffusion-weighted (DW) magnetic resonance imaging (MRI) in the characterization of mediastinal lymph nodes and compare them with morphological parameters. Methods: A total of 43 untreated patients with mediastinal lymphadenopathy underwent DW and T2 weighted MRI followed by pathological examination in the period from January 2015 to June 2016. The presence of diffusion restriction, apparent diffusion coefficient (ADC) value, short axis dimensions (SAD), and T2 heterogeneous signal intensity of the lymph nodes were evaluated using receiver operating characteristic curve (ROC) and forward step-wise multivariate logistic regression analysis. Results: The ADC of malignant lymphadenopathy was significantly lower (0.873 \u00b1 0.109 \u00d7 10\u22123 mm2\/s) than that of benign lymphadenopathy (1.663 \u00b1 0.311 \u00d7 10\u22123 mm2\/s) (p = 0.001). When an ADC of 1.0955 \u00d7 10\u22123 mm2\/s was used as a threshold value for differentiating malignant from benign nodes, the best results were obtained with a sensitivity of 94%, a specificity of 96%, and an area under the curve (AUC) of 0.996. A model combining the other three MRI criteria showed less sensitivity (88.9%) and specificity (92%) compared to the ADC-only model. Conclusion: The ADC was the strongest independent predictor of malignancy. The addition of other parameters failed to show any increase in sensitivity and specificity.<\/jats:p>","DOI":"10.3390\/diagnostics13040706","type":"journal-article","created":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T02:41:56Z","timestamp":1676342516000},"page":"706","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Role of Diffusion-Weighted Magnetic Resonance Imaging for Characterization of Mediastinal Lymphadenopathy"],"prefix":"10.3390","volume":"13","author":[{"given":"Eniyavel","family":"Ramamoorthy","sequence":"first","affiliation":[{"name":"Department of Radio Diagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4714-6299","authenticated-orcid":false,"given":"Mandeep","family":"Garg","sequence":"additional","affiliation":[{"name":"Department of Radio Diagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paramjeet","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Radio Diagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashutosh N.","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Department of Pulmonary Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nalini","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Cytology, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"050","DOI":"10.1055\/s-0033-1363451","article-title":"Integrated Cardiothoracic Imaging with Computed Tomography","volume":"35","author":"Geyer","year":"2014","journal-title":"Semin. 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