Lung ultrasonography to assess pulmonary complications after head and neck cancer surgery.

J Stomatol Oral Maxillofac SurgFeb 5, 2026 (epub)

Ling Gao, Likuan Wang, Xudong Yang et al.

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In 30 seconds

This randomized controlled trial assessed whether daily lung ultrasonography (LUS), added to clinical evaluation with chest X-ray when indicated, improves detection of postoperative pulmonary complications (PPCs). It enrolled 196 adults at intermediate or high risk undergoing head and neck cancer surgery with free-flap reconstruction. The routine LUS strategy detected more clinically relevant PPCs than the current strategy (92.3% vs. 66.7%, p = 0.035), with higher diagnostic accuracy and earlier detection. Hospital stay and mortality did not differ significantly between groups.

Key findings

  • Clinically relevant PPC detection was 92.3% with daily LUS plus usual assessment versus 66.7% with usual assessment alone (p = 0.035).
  • Diagnostic accuracy was higher with the routine LUS strategy (AUC: 91.9% vs. 80.4%, p = 0.035).
  • PPCs were detected earlier with routine LUS: median postoperative day 2 versus 3 (p = 0.042).
  • Hospital stay and mortality showed no significant differences between strategies.

Why it matters

PPCs are common after major head and neck cancer surgery, and earlier recognition may inform postoperative assessment. This trial suggests that adding daily bedside LUS can improve detection compared with clinical evaluation and on-demand chest X-ray, while showing no significant short-term outcome differences.

What to keep in mind

The trial included adults at intermediate or high PPC risk undergoing head and neck cancer surgery with free-flap reconstruction; applicability to other surgical populations is uncertain. No significant differences in hospital stay or mortality were observed.

Source

Published in J Stomatol Oral Maxillofac Surg. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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