{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T22:16:25Z","timestamp":1773008185702,"version":"3.50.1"},"reference-count":42,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Electric properties tomography (EPT) enables noninvasive quantification of tissue electrical conductivity (\n                    <jats:italic>\u03c3<\/jats:italic>\n                    ), offering potential biomarkers for tissue characterization. However, the technical feasibility and diagnostic utility of phase\u2010based EPT in thoracic applications remain limited. This study presents a comprehensive evaluation of phase\u2010based EPT for thoracic lesion characterization. Twenty patients with focal lung or mediastinal lesions underwent 1.5T MRI including sagittal two\u2010dimensional steady\u2010state free precession imaging for EPT reconstruction and diffusion\u2010weighted imaging for comparison.\n                    <jats:italic>\u03c3<\/jats:italic>\n                    maps were successfully reconstructed using phase\u2010based methods, with histogram and texture analysis performed to extract quantitative features. Following multicollinearity assessment using variance inflation factor analysis, five independent predictors were identified: three\n                    <jats:italic>\u03c3<\/jats:italic>\n                    \u2010derived features (entropy, kurtosis, and joint energy) and two apparent diffusion coefficient (ADC)\u2010derived features (10th percentile and contrast). The\n                    <jats:italic>\u03c3<\/jats:italic>\n                    \u2010based and ADC\u2010based diagnostic indices achieved comparable performance with area under the curve (AUC) values of 0.869 (95% confidence interval [CI]: 0.650\u20131) and 0.893 (95% CI: 0.742\u20131), respectively. Two\u2010dimensional clustering analysis revealed that adenocarcinoma demonstrated significantly higher complexity in the combined\n                    <jats:italic>\u03c3<\/jats:italic>\n                    \u2010ADC parameter space [cluster number: 10.5 (6.8\u201313.3)] compared with squamous cell carcinoma [4.5 (4.0\u20135.8);\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.003] and benign lesions [6.5 (6.0\u20137.0);\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.014]. These findings demonstrate that\n                    <jats:italic>\u03c3<\/jats:italic>\n                    measurements provide complementary information to ADC for lesion characterization. Importantly,\n                    <jats:italic>\u03c3<\/jats:italic>\n                    measurements showed robustness to lesion anatomical location, indicating the technical reliability of the phase\u2010based EPT approach in thoracic imaging.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70218","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T03:06:32Z","timestamp":1766545592000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Noninvasive Electrical Conductivity Mapping by MRI: Its Diagnostic Potential in Distinguishing Thoracic Lesions"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9345-2388","authenticated-orcid":false,"given":"Jincheng","family":"Wang","sequence":"first","affiliation":[{"name":"Laboratory for Biomarker Imaging Science, Graduate School of Biomedical Science and Engineering Hokkaido University  Sapporo 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