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K. Kadota



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    O17 - Anatomical Pathology I (ID 128)

    • Event: WCLC 2013
    • Type: Oral Abstract Session
    • Track: Pathology
    • Presentations: 1
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      O17.05 - Accuracy and Interobserver Agreement in Identifying Histologic Subtypes in Stage I Lung Adenocarcinomas ≤3 cm Using Frozen Section (ID 2590)

      11:15 - 11:25  |  Author(s): K. Kadota

      • Abstract
      • Presentation
      • Slides

      Background
      The new IASLC/ATS/ERS classification of lung adenocarcinoma (ADC) histologic subtypes is now recommended for prognostic stratification. The ability to determine histologic subtype accurately by frozen section (FS) may help surgeons to choose limited resection versus anatomic resection in the management of lung ADC. The aim of this study is to investigate the accuracy and interobserver agreement of FS for predicting histologic subtype.

      Methods
      FS and permanent section slides from 361 surgically resected stage I lung ADCs ≤3 cm were reviewed for predominant histologic subtype and presence or absence of lepidic, acinar, papillary, micropapillary, and solid patterns. To determine interobserver agreement, 50 cases were additionally reviewed by 3 pathologists. To test the accuracy of FS in determining degree of invasion in cases with predominantly lepidic growth pattern, 5 pathologists reviewed FS slides from 35 patients and attempted to discriminate between adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and lepidic predominant adenocarcinoma (LPA).

      Results

      Parameter Accuracy, % (95% CI) Sensitivity, % (95% CI) Specificity, % (95% CI) κ
      Predominant histologic subtype
      Overall 68 (63–73) Not applicable Not applicable 0.565
      Lepidic 90 (86–92) 75 (64–84) 93 (90–96) 0.681
      Acinar 76 (71-80) 70 (61–77) 79 (73–84) 0.481
      Papillary 85 (81-88) 62 (50–72) 91 (87–94) 0.527
      Micropapillary 94 (91-96) 21 (9–40) 99 (97–100) 0.277
      Solid 91 (88-94) 79 (67–87) 94 (90–96) 0.700
      Presence or absence of each histologic pattern
      Lepidic 80 (76–84) 75 (69–80) 91 (84–96) 0.588
      Acinar 89 (85–92) 90 (86–93) 67 (35–90) 0.252
      Papillary 72 (67–77) 70 (64–75) 79 (69–87) 0.397
      Micropapillary 67 (62–72) 37 (30–45) 94 (89–97) 0.321
      Solid 84 (80–88) 69 (61–76) 96 (92–98) 0.670
      The accuracy of FS for predicting histologic subtype is shown in the Table. There was moderate agreement on the predominant histologic subtype between FS diagnosis and final diagnosis (κ=0.565). FS had high specificity for micropapillary and solid patterns (94% and 96%, respectively), but sensitivity was low (37% and 69%, respectively). The interobserver agreement was satisfactory (κ > 0.6, except for acinar pattern). All cases of AIS were correctly diagnosed using FS. For MIA, only 41.3% of FS diagnoses were correct, and 52% were overdiagnosed as LPA; for cases of LPA, 79% of FS diagnoses were correct.

      Conclusion
      FS can provide information on the presence of aggressive histologic patterns—micropapillary and solid—with high specificity but low sensitivity. FS is not suitable for determining the predominant pattern or degree of invasion. Although FS can be helpful in diagnosing AIS, it has poor accuracy in distinguishing MIA from LPA.

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