Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT. Issue 5 (4th February 2022)

• Record Type: Journal Article
• Authors: Park, Ki Seong; Seon, Hyun Ju; Yun, Ju-Sik; Yoo, Su Woong; Lee, Changho; Kang, Sae-Ryung; Kim, Jahae; Cho, Sang-Geon; Song, Ho-Chun; Bom, Hee-Seung; Min, Jung-Joon; Kwon, Seong Young
• Other Names: Lalwani. Neeraj section editor.
• Is Part Of: Medicine. Volume 101:Issue 5(2022)
• Publication Date: 2022-02-04
• Subjects: F-18 FDG -- Hounsfield unit -- lung cancer -- solitary pulmonary nodule -- tumor shadow disappearance rate; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000028764
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: We aimed to characterize solitary pulmonary nodule (SPN) using imaging parameters for F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) or enhanced CT corrected by tumor shadow disappearance rate (TDR) to reflect the tissue density. We enrolled 51 patients with an SPN who underwent PET/CT and chest CT with enhancement. The FDG uptake of SPN was evaluated using maximum standardized uptake value (SUVmax) on PET/CT. The mean Hounsfield unit (HU) for each SPN was evaluated over the region of interest on nonenhanced and enhanced CT images. The change in mean HU (HUpeak-pre) was quantified by subtracting the mean HU of the preenhanced CT from that of the post-enhanced CT. TDR was defined as the ratio of the tumor area, which disappears at a mediastinal window, to the tumor area of the lung window. We investigated which parameters (SUVmax or HUpeak-pre) could contribute to the characterization of SPN classified by TDR value and whether diagnostic performance could be improved using TDR-corrected imaging parameters. For SPN with higher tissue density (TDR <42%, n = 22), high value of SUVmax (≥3.1) was a significant factor to predict malignancy ( P = .006). High value of HUpeak-pre (≥38) was a significant factor to characterize SPN ( P = .002) with lower tissue density (TDR ≥42%, n = 29). The combined approach using TDR-corrected parameters had better predictive performance to characterize SPN than SUVmax only ( P = .031). Applying imaging parameters such as SUVmax or HUpeak-pre in consideration of tissue density calculated with TDR could contribute to accurate characterization of SPN.