4.6 Article

Prognostic Significance of Intratumoral Metabolic Heterogeneity on 18F-FDG PET/CT in Pathological N0 Non-Small Cell Lung Cancer

Journal

CLINICAL NUCLEAR MEDICINE
Volume 40, Issue 9, Pages 708-714

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/RLU.0000000000000867

Keywords

non-small-cell lung cancer; heterogeneity; pathological N0; recurrence; F-18-FDG PET; CT

Funding

  1. Medical Cluster R&D Support Project of Daegu Gyeongbuk Medical Innovation Foundation, Republic of Korea [HT13C0002]
  2. Korea Health Technology R&D Project, Ministry of Health & Welfare, Republic of KOREA [A111345]
  3. National Nuclear R&D Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2012M2A2A7014020]
  4. National Research Foundation of Korea (NRF) - Korea government (MEST) [2009-0078222, 2009-0078234]
  5. Korea Health Technology R&D Project through the Korea Health Industry Development Institute - Ministry of Health & Welfare, Republic of Korea [HI15C0001]

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Purpose The aim of the study was to evaluate the prognostic significance of intratumoral metabolic heterogeneity on pretreatment F-18-FDG PET/CT in patients with lung cancer who were pathologically N0 (pN0) after curative surgical resection. Methods We examined 119 patients (M/F = 79/40; mean age, 64.6 9.0 years) who had undergone pretreatment F-18-FDG PET/CT and were diagnosed as pN0 after curative surgery for adenocarcinoma (ADC; n = 67) or squamous cell carcinoma (SQCC; n = 52). Heterogeneity factor (HF) and other metabolic parameters (SUVmax, metabolic tumor volume [MTV] and total lesion glycolysis [TLG]) for the primary lesions were measured, and the results were analyzed for recurrence. The HF, defined as the derivative of the volume-threshold function from 20% to 80%, was computed for primary lesions. Univariate and multivariate analyses for recurrence were performed using the Kaplan-Meier method and using the Cox proportional hazards model. Results SUVmax, MTV, TLG, and HF were statistically different between patients with ADC and SQCC. Forty-one (34.5%) of 119 patients experienced recurrence (ADC, 25/67 = 37.3% vs. SQCC, 16/52 = 30.8%). Results of univariate analysis indicate that SUVmax, MTV, TLG, and HF in ADC and TLG and HF in SQCC were predictors for recurrence. After adjusting for sex, age, and histological grade in multivariate analysis, high SUVmax, MTV, TLG, and HF in ADC exhibited an association with increased risk of recurrence. Conclusions Metabolic parameters and heterogeneity of primary tumor on pretreatment F-18-FDG PET/CT can predict recurrence in pN0 NSCLC patients of ADC type who have undergone curative surgery but not in patients of SQCC type.

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