ArticleEuropean radiology2025
Improving prediction of lymph node response to neoadjuvant chemoimmunotherapy in resectable non-small cell lung cancer via dynamic [
Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesAccurately predicting the pathological response of lymph nodes to neoadjuvant chemoimmunotherapy in non-small cell lung cancer (NSCLC) remains a challenge. This study aimed to evaluate the effectiveness of [ MATERIALS AND
methodsA total of 86 patients with stage IIB-IIIB NSCLC were enrolled. [
resultsThe metabolism composite index, which combines changes in SUVmax of the primary tumor and post-treatment SUVmax of lymph nodes, significantly improved lymph node response prediction, with an AUC of 0.852 (95% CI: 0.772, 0.932), sensitivity of 0.783, and specificity of 0.811. Patients without a pathological complete response (pCR) had shorter median EFS in the non-pCR/PET (N+) group compared to the non-pCR/PET (N-) group (17 months vs 42 months, p < 0.001).
conclusionIntegrating dynamic metabolic changes in the primary tumor with post-treatment lymph node metabolic status is highly effective in predicting lymph node response to neoadjuvant chemoimmunotherapy. This method also helps identify patients with less favorable prognoses within the non-pCR group. KEY POINTS: Question How effective is [
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