Current Evidence Does Not Warrant Frozen Section Evaluation for the Presence of Tumor Spread Through Alveolar Spaces

Author:

Walts Ann E.1,Marchevsky Alberto M.1

Affiliation:

1. From the Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California.

Abstract

Context.— Tumor spread through alveolar spaces (STAS) has been correlated with unfavorable prognosis in lung adenocarcinomas treated with sublobar resection, but it is unknown whether STAS can be reliably identified in frozen section (FS) to help stratify patients for lobectomy or sublobar resection. Objective.— To evaluate STAS in FS. Design.— Tumor spread through alveolar spaces was evaluated in hematoxylin-eosin–stained FS, FS control slides, and all additional slides with lung tissue adjacent to tumor (AdLT) from 48 pT1–2 adenocarcinomas operated on using video-assisted thoracotomy (n = 25) or open thoracotomy (n = 23). The samples included lobectomies (n = 27) and sublobar resections (n = 21). The STAS incidences were compared by FS versus FS control versus AdLT, video-assisted thoracotomy versus open thoracotomy, and lobectomy versus sublobar resection. Sensitivity, specificity, and positive and negative predictive values of STAS+ findings were calculated. The literature was queried for best evidence regarding incidence and predictive value of STAS in FS. Results.— Tumor spread through alveolar spaces positivity was identified in 46 of 48 cases (95.8%), including 23 FS (47.9%), 32 FS control (66.7%), and 43 AdLT (89.6%). The STAS incidence was significantly higher in AdLT than in FS or FS control. Only 2 of the 25 cases that were STAS− in FS were true negatives. Frozen section sensitivity to detect STAS positivity was 50%, with a 100% positive predictive value and 8% negative predictive value. Systematic literature review identified no evidence regarding STAS identification in FS. Conclusions.— The sensitivity and negative predictive value of FS for STAS detection are unacceptably low. There are insufficient data to support intraoperative detection of STAS as a useful predictive feature to help stratify patients for lobectomy or sublobar resections.

Publisher

Archives of Pathology and Laboratory Medicine

Subject

Medical Laboratory Technology,General Medicine,Pathology and Forensic Medicine

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