ReviewTranslational lung cancer research2026
Lung cancer associated with cystic airspaces in the perioperative immunotherapy era: radiologic and pathologic pitfalls, surgical extent, and management implications.
Review in Translational lung cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07066813 (T-Staging Strategies and Their Prognostic and Therapeutic Significance in Lung Cancer With Cystic Airspaces), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
T-Staging Strategies and Their Prognostic and Therapeutic Significance in Lung Cancer With Cystic Airspaces: A Retrospective Cohort Study
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With expanded use of screening and the rise of perioperative immunotherapy, early-stage non-small cell lung cancer management increasingly hinges on precise radiologic and pathologic staging. Lung cancer associated with cystic airspaces (LCCA) presents distinct challenges because its cystic architecture can distort measurement, complicate T-staging and influence therapeutic decision-making. We review current evidence on LCCA, including morphological classification (thin-walled, thick-walled, mural nodule, mixed), imaging-pathologic discrepancies, and prognostic implications of cyst-wall composition and mural nodules. We highlight key clinical questions: how to define and measure the "functional diameter", whether standard surgical and perioperative guidelines are applicable to LCCA, and when to suspect intrapulmonary metastasis in multifocal cystic lesions. Drawing on our ongoing prospective registry of over 300 computed tomography (CT)-defined LCCA cases (NCT07066813), we outline a research agenda focusing on radiologic-pathologic correlation, subtype-specific trials, and radiomics/artificial intelligence (AI)-based classification. Accurate staging and biologically informed treatment strategies in LCCA will support individualized care and improve outcomes in early-stage lung cancer.
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