Predictive value of dual-time 18F-FDG PET/CT to distinguish primary lung and metastatic adenocarcinoma in solitary pulmonary nodule

Author:

Pahk Kisoo1,Chung Jae Ho2,Kim Sungeun1,Lee Sung Ho2

Affiliation:

1. Department of Nuclear Medicine, Korea University Anam Hospital, Seoul, Korea

2. Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul, Korea

Abstract

Aims and background: Distinction between primary lung adenocarcinoma and metastatic adenocarcinoma from extrapulmonary origin in solitary pulmonary nodule (SPN) is crucial for cancer treatment. We investigated the predictive role of dual-time-point 18F-FDG PET/CT to distinguish primary and metastatic lung adenocarcinoma in SPN. Methods: A total of 96 consecutive patients with newly diagnosed SPN and biopsy-proven adenocarcinoma were enrolled in this study, retrospectively (54 male; 42 female; age 59.68 ± 8.2 years). They all underwent dual-time-point 18F-FDG PET/CT at 60 minutes (early) for whole body and 120 minutes (delayed) for chest region after FDG injection. Maximum standardized uptake values (early SUVmax and delayed SUVmax) and retention index (RI) were acquired for analysis. Final pathology results were confirmed by surgical specimens. Results: Metastatic adenocarcinoma showed significantly higher early SUVmax, delayed SUVmax, and RI compared to primary lung adenocarcinoma. Delayed SUVmax and RI presented superior diagnostic performance for prediction of metastatic adenocarcinoma than early 18F-FDG PET/CT. Among metastatic adenocarcinoma, metastasis from colorectal origin showed significantly higher RI than from other origins. In addition, RI significantly predicted metastatic adenocarcinoma from colorectal cancer than early or delayed SUVmax. Conclusions: Dual-timepoint 18F-FDG PET/CT can be useful to distinguish primary and metastatic lung adenocarcinoma in SPN. Furthermore, it may also be useful to predict metastatic adenocarcinoma from colorectal origin.

Publisher

SAGE Publications

Subject

Cancer Research,Oncology,General Medicine

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