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Xuefei Yu

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    P1.05 - Interventional Diagnostics/Pulmonology (Not CME Accredited Session) (ID 937)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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      P1.05-09 - Dielectric Property Test for the Rapid Differential Diagnosis of Lung Nodules/Mass (ID 13075)

      16:45 - 18:00  |  Author(s): Xuefei Yu

      • Abstract
      • Slides


      Developing new methods for rapid diagnosis for lung nodules/mass has always been one of the most attractive topics. And it has been found that the dielectric property, including permittivity and conductivity, varies from benign tissues to malignancies. However, no studies comparing the dielectric property between lung benign tumors to malignancies has been reported and whether dielectric property test could be used for differential diagnosis remains uncertain.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      Patients with lung nodules/mass who received surgical resection were included for permittivity and conductivity test right after the occupying lesions were removed and before sent for pathological examination. The informed consents were obtained before surgery. Independent-samples T Test and multiple variables for ROC curve analysis were used.

      4c3880bb027f159e801041b1021e88e8 Result

      More than 250 lesions were expected to be tested for calculating the differential diagnosing cutoff value. For each lesion, 4000 datasets of permittivity and conductivity at different frequencies from 1MHz to 4000MHz were collected. By far, 73 patients with 74 lung occupying lesions were enrolled for dielectric property test, including 19 lung benign tumors and 55 malignancies. Though the differences of mean permittivity and conductivity between the 2 groups were not statistically significant (p>0.05), there might be a tendency to distinguish the 2 groups. And the mean values of permittivity and conductivity and their independent values at frequency 1MHz, 500MHz, 1000MHz, 1500MHz, 2000MHz, 2500MHz, 3000MHz, 3500MHz, 4000MHz were chosen as multiple variables for ROC curve analysis. With the false positive rate of 10%, the cutoff value Pcutoff was 0.8588 and the logistic regression formula for differential diagnosis were shown as followed, of which the area under the ROC curve was 0.905.



      The study was supported by the Presidential Foundation of Nanfang Hospital, Southern Medical University (2016B018).

      8eea62084ca7e541d918e823422bd82e Conclusion

      With more data collected, dielectric property test might become another rapid way of distinguishing lung malignancies from benign tumors.


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