Prediction of true-negative lymph node metastasis in clinical IA non-small cell lung cancer by measuring standardized uptake values on positron emission tomography

Tomoyoshi Takenaka, Tokujiro Yano, Yosuke Morodomi, Kensaku Ito, Naoko Miura, Daigo Kawano, Fumihiro Shoji, Shingo Baba, Koichiro Abe, Hiroshi Honda, Yoshihiko Maehara

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Purpose We developed a method for predicting truenegative lymph node metastases in clinical IA non-small lung cancer (NSCLC) by the combined evaluation of computed tomography (CT), 2-[18F]-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) findings and the maximum standardized uptake value (SUVmax) of primary tumors. Methods The subjects of this study were 94 patients with clinical stage IA NSCLC who underwent both preoperative CT and FDG-PET. We analyzed the relationship between the SUVmax of primary tumors and various clinicopathological factors to find the best method available for assessing true-negative lymph node metastasis. Results The pathological stages were IA (n = 80), IB (n = 4), IIA (n = 5), IIIA (n = 4), and IV (n = 1). Pathologic lymph node metastasis was recognized in nine patients and the SUVmax of these tumors ranged from 3.3 to 20.3. A SUVmax of 3.0 was defined as the cut-off point and patients were dichotomized according to this point. Tumors with SUVmax of 3.0 or less were associated with a significantly lower incidence of pleural and vascular invasion and were characterized by the degree of differentiation. Conclusion The SUVmax of primary tumors reflects the grade of malignancy; therefore, the combined evaluation of FDG-PET/CT findings with the SUVmax of primary tumors may help predict lymph node metastasis negativity.

Original languageEnglish
Pages (from-to)934-939
Number of pages6
JournalSurgery today
Volume42
Issue number10
DOIs
Publication statusPublished - Oct 2012

All Science Journal Classification (ASJC) codes

  • Surgery

Fingerprint Dive into the research topics of 'Prediction of true-negative lymph node metastasis in clinical IA non-small cell lung cancer by measuring standardized uptake values on positron emission tomography'. Together they form a unique fingerprint.

Cite this