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Erika Matsushiro



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    EP1.01 - Advanced NSCLC (ID 150)

    • Event: WCLC 2019
    • Type: E-Poster Viewing in the Exhibit Hall
    • Track: Advanced NSCLC
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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      EP1.01-50 - Quantitative Assessment of Subsegmental Bronchi on Thin-Section CT for Pulmonary Lymphangitis Carcinomatosa (Now Available) (ID 2290)

      08:00 - 18:00  |  Author(s): Erika Matsushiro

      • Abstract
      • Slides

      Background

      CT is the main modality to measure the of the tumor and/or metastasis of solid malignancies to evaluate the change over time due to conservative therapy, especially in chemotherapy. However, the change of lymphangitis carcinomatosa which appears at advanced stage could be evaluated quantitatively, only. The purpose of this study was to evaluate the availability of CT to quantify the lymphangitis carcinomatosa of lung cancer.

      Method

      Fifteen consecutive patients (12 males, three females; 51-76 y.o.) with pulmonary lung cancer who were diagnosed as lung cancer with lymphangitis carcinomatosa by CT were enrolled retrospectively. Each patient’s lung cancer was diagnosed by using bronchoscope or CT guided biopsy. All patients underwent CT examination before and after the chemotherapy. All CT studies were performed by using MDCT machine (Aquilion Prime or Aquilion Precision; Canon Medical Systems, Otawara, Japan). All CT examinations were performed with 80 or 160-detector row CT scanner with contrast media. CT images were reconstructed with 1mm slice, 1mm interval, 512 x 512 matrix. The long axis diameters of primary tumors were measured on CT before and after the therapy. The wall area of the sub-segmental bronchus affected by lymphangitis carcinomatosa was defined by Synapse Vincent (Fujifilm Medical; Tokyo, Japan) before and after the therapy. The correlation coefficient of tumor reduction rates between the primary tumor diameter and wall area of the affected sub-segmental bronchus was statistically assessed. P value less than 0.05 was considered as significant in statistical analyses.

      Result

      The correlation coefficient of tumor reduction rates between the primary tumor diameter and wall area of the affected sub-segmental bronchus was 0.533 (p = 0.041).

      Conclusion

      The positive correlation of tumor reduction rates was significant between the primary tumor diameter and wall area of the affected sub-segmental bronchus. The measurement of wall area of affected sub-segmental bronchus on thin-slice CT has the availability to evaluate the quantitative change of lymphangitis carcinomatosa of lung cancer patients.

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    EP1.11 - Screening and Early Detection (ID 201)

    • Event: WCLC 2019
    • Type: E-Poster Viewing in the Exhibit Hall
    • Track: Screening and Early Detection
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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      EP1.11-08 - Ultra-High-Resolution CT to Project the Detailed Components in Nodules; Fat Components in Pulmonary Hamartomas (Now Available) (ID 2332)

      08:00 - 18:00  |  Author(s): Erika Matsushiro

      • Abstract
      • Slides

      Background

      The purpose of this study was to evaluate the utility of the detailed matrix of ultra-high-resolution CT (UHRCT) to detect the detailed attenuation heterogeneity in pulmonary hamartoma which contains fat component.

      Method

      Seven consecutive patients (three males, four females; 48-73 y.o.) with pulmonary hamartoma who underwent UHRCT were enrolled retrospectively. Each patient’s hamartoma was diagnosed by using bronchoscope, surgical therapy or follow up study. All CT studies were performed by using ultra-high-resolution CT machine (Aquilion Precision; Canon Medical Systems, Otawara, Japan). All CT examinations were performed with 160-detector row CT scanner; 120kVp, auto-mAs, 1792 channels, collimation 0.25 mm x 160 rows, 1024 matrix. Conventional high-resolution CT (HRCT) images were reconstructed with 1mm slice, 1mm interval, 512 x 512 matrix. Ultra-high- resolution CT (UHRCT) images were reconstructed with 0.25 mm slice, 0.25 mm interval, 1024 x 1024 matrix. The CT densities of each hamartoma were measured by placing ROI at the longest diameter of the nodule on CT image. The lowest densities in the nodule were statistically compared between on HRCT and UHRCT by using paired t-test. P value less than 0.05 was considered to be significant.

      Result

      The average minimum densities of hamartomas on HRCT and UHRCT were -39.1 and -65.0, respectively (p = 0.092).

      Conclusion

      The lowest densities of hamartomas were lower on UHRCT than on HRCT, not significantly. The UHRCT’s smaller voxel may reveal the detailed heterogeneity in the nodule to detect fat component of hamartoma.

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