Diagnostic accuracy of frozen sections for intraoperative detection of spread through air spaces in early-stage lung cancer: Systematic review and meta-analysis.

H Hamza Hameed (2Sheikh Zayed Medical College/Hospital, Rahim Yar Khan, Pakistan) H Hanzala Jehangir (Sheikh Zayed Medical College, Bahawalpur , Pakistan) M Muhammad Arham (Sheikh Zayed Medical College, Multan, Pakistan) M Manahil Shafique (Sheikh Zayed Medical College, Rahim Yar Khan, Pakistan) A Abdullah Jehangir (Quaid e Azam Medical College, Bahawalpur, Pakistan) A Aquiles De Leon Javier (Trinitas Comprehensive Cancer Center-Rutgers Health, Elizabeth, NJ) M Muhammad Uzair D Deevyashali Parekh (2SUNY Upstate University, Department of Internal Medicine, Syracuse, United States) A Abdel-Azez Abu-Samak (Henry Ford Cancer Institute, Detroit, MI) M Manas Pustake (2Texas Tech University El Paso, El Paso, United States) G Gerardo Capo (7Trinitas Comprehensive Cancer Center, Elizabeth, United States)

Abstract

e20062 Background: Tumor spread through air spaces (STAS) is an independent predictor of recurrence and lung cancer–specific mortality in early-stage lung cancer. Intraoperative detection of STAS using frozen section analysis may aid surgical decision-making by guiding appropriate selection between lobectomy and sub-lobar resection. Methods: We systematically searched five databases from inception to October 2025 to identify PICO-concordant studies evaluating the diagnostic accuracy of intraoperative frozen section analysis for detecting STAS, using permanent paraffin sections as the reference standard. Pooled sensitivity, specificity, SROC curves, and diagnostic odds ratios were estimated using Bayesian bivariate hierarchical and random-effects models. Heterogeneity, sensitivity analyses, and publication bias were assessed in R (v2024.12.0+467) using the meta and mada packages. Results: Using a Bayesian bivariate hierarchical model, frozen section analysis demonstrated a pooled sensitivity of 0.66 (95% credible interval [CrI], 0.51–0.79) and specificity of 0.87 (95% CrI, 0.68–0.95), with a diagnostic odds ratio (DOR) of 12.74 (95% CrI, 1.86–23.63). Substantial heterogeneity was observed (I²E sensitivity: 0.82 [0.74–0.89]; I²E specificity: 0.72 [0.47–0.96]), with between-study variance estimates of 0.74 for logit sensitivity and 2.80 for logit specificity. In univariate analyses, pooled sensitivity was 0.60 (95% CI, 0.49–0.70; I² = 65.6%) and specificity was 0.87 (95% CI, 0.65–0.96; I² = 93.5%), yielding a DOR of 13.90 (95% CI, 5.95–32.49; I² = 88.6%). Heterogeneity remained stable on leave-one-out and subgroup analyses. Deeks’ funnel plot showed no evidence of publication bias (p = 0.62). Conclusions: Frozen section analysis demonstrates relatively high specificity but moderate sensitivity for STAS detection, making it more suitable as a rule-in rather than a rule-out test. Positive intraoperative findings may support escalation to lobectomy, whereas negative results should be interpreted with caution.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (11)

H

Hamza Hameed

2Sheikh Zayed Medical College/Hospital, Rahim Yar Khan, Pakistan

H

Hanzala Jehangir

Sheikh Zayed Medical College, Bahawalpur , Pakistan

M

Muhammad Arham

Sheikh Zayed Medical College, Multan, Pakistan

M

Manahil Shafique

Sheikh Zayed Medical College, Rahim Yar Khan, Pakistan

A

Abdullah Jehangir

Quaid e Azam Medical College, Bahawalpur, Pakistan

A

Aquiles De Leon Javier

Trinitas Comprehensive Cancer Center-Rutgers Health, Elizabeth, NJ

M

Muhammad Uzair

D

Deevyashali Parekh

2SUNY Upstate University, Department of Internal Medicine, Syracuse, United States

A

Abdel-Azez Abu-Samak

Henry Ford Cancer Institute, Detroit, MI

M

Manas Pustake

2Texas Tech University El Paso, El Paso, United States

G

Gerardo Capo

7Trinitas Comprehensive Cancer Center, Elizabeth, United States