Cargando…
Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT
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...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812657/ https://www.ncbi.nlm.nih.gov/pubmed/35119036 http://dx.doi.org/10.1097/MD.0000000000028764 |
_version_ | 1784644700562522112 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Park, Ki Seong |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8812657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-88126572022-02-18 Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT 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 Medicine (Baltimore) 6800 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. Lippincott Williams & Wilkins 2022-02-04 /pmc/articles/PMC8812657/ /pubmed/35119036 http://dx.doi.org/10.1097/MD.0000000000028764 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 6800 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 Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title | Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title_full | Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title_fullStr | Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title_full_unstemmed | Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title_short | Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT |
title_sort | precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected f-18 fdg pet and enhanced ct |
topic | 6800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812657/ https://www.ncbi.nlm.nih.gov/pubmed/35119036 http://dx.doi.org/10.1097/MD.0000000000028764 |
work_keys_str_mv | AT parkkiseong precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT seonhyunju precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT yunjusik precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT yoosuwoong precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT leechangho precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT kangsaeryung precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT kimjahae precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT chosanggeon precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT songhochun precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT bomheeseung precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT minjungjoon precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct AT kwonseongyoung precisecharacterizationofasolitarypulmonarynoduleusingtumorshadowdisappearanceratecorrectedf18fdgpetandenhancedct |