CT imaging features in the characterization of non-growing solid pulmonary nodules in non-smokers

2016
journal article
article
1
dc.abstract.enBACKGROUND: A disappearing or persistent solid pulmonary nodule is a neglected clinical entity that still poses serious interpretative issues to date. Traditional knowledge deriving from previous reports suggests particular features, such as smooth edges or regular shape, to be significantly associated with benignity. A large number of benign nodules are reported among smokers in lung cancer screening programmes. The aim of this single-center retrospective study was to correlate specific imaging features to verify if traditional knowledge as well as more recent acquisitions regarding benign SPNs can be considered reliable in a current case series of nodules collected in a non-smoker cohort of patients. MATERIAL AND METHODS: Fifty-three solid SPNs proven as non-growing during follow-up imaging were analyzed with regard to their imaging features at thin-section CT, their predicted malignancy risk according to three major risk assessment models, minimum density analysis and contrast enhanced-CT in the relative subgroups of nodules which underwent such tests. RESULTS: Eleven nodules disappeared during follow-up, 29 showed volume loss and 16 had a VDT of 1121 days or higher. There were 48 nodules located peripherally (85.71%). Evaluation of the enhancement after contrast media (n=29) showed mean enhancement ±SD of 25.72±35.03 HU, median of 18 HU, ranging from 0 to 190 HU. Minimum density assessment (n=30) showed mean minimum HU ±SD of –28.27±47.86 HU, median of -25 HU, ranging from -144 to 68 HU. Mean malignancy risk ±SD was 15.05±26.69% for the BIMC model, 17.22±19.00% for the Mayo Clinic model and 19.07±33.16% for the Gurney's model. CONCLUSIONS: Our analysis suggests caution in using traditional knowledge when dealing with current small solid peripheral indeterminate SPNs and highlights how quantitative growth at follow-up should be the cornerstone of characterization.pl
dc.contributor.authorPerandini, Simonepl
dc.contributor.authorSoardi, Gian Albertopl
dc.contributor.authorMotton, Massimilianopl
dc.contributor.authorAugelli, Raffaelepl
dc.contributor.authorZantedeschi, Lisapl
dc.contributor.authorMontemezzi, Stefaniapl
dc.date.accessioned2017-05-05T07:05:42Z
dc.date.available2017-05-05T07:05:42Z
dc.date.issued2016pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. 50pl
dc.description.physical46-50pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume81pl
dc.identifier.doi10.12659/PJR.895307pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/40004
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode*
dc.share.typeotwarte czasopismo
dc.subject.enlung neoplasmspl
dc.subject.enmultidetector computed tomographypl
dc.subject.ensolitary pulmonary nodulepl
dc.subtypeArticlepl
dc.titleCT imaging features in the characterization of non-growing solid pulmonary nodules in non-smokerspl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
BACKGROUND: A disappearing or persistent solid pulmonary nodule is a neglected clinical entity that still poses serious interpretative issues to date. Traditional knowledge deriving from previous reports suggests particular features, such as smooth edges or regular shape, to be significantly associated with benignity. A large number of benign nodules are reported among smokers in lung cancer screening programmes. The aim of this single-center retrospective study was to correlate specific imaging features to verify if traditional knowledge as well as more recent acquisitions regarding benign SPNs can be considered reliable in a current case series of nodules collected in a non-smoker cohort of patients. MATERIAL AND METHODS: Fifty-three solid SPNs proven as non-growing during follow-up imaging were analyzed with regard to their imaging features at thin-section CT, their predicted malignancy risk according to three major risk assessment models, minimum density analysis and contrast enhanced-CT in the relative subgroups of nodules which underwent such tests. RESULTS: Eleven nodules disappeared during follow-up, 29 showed volume loss and 16 had a VDT of 1121 days or higher. There were 48 nodules located peripherally (85.71%). Evaluation of the enhancement after contrast media (n=29) showed mean enhancement ±SD of 25.72±35.03 HU, median of 18 HU, ranging from 0 to 190 HU. Minimum density assessment (n=30) showed mean minimum HU ±SD of –28.27±47.86 HU, median of -25 HU, ranging from -144 to 68 HU. Mean malignancy risk ±SD was 15.05±26.69% for the BIMC model, 17.22±19.00% for the Mayo Clinic model and 19.07±33.16% for the Gurney's model. CONCLUSIONS: Our analysis suggests caution in using traditional knowledge when dealing with current small solid peripheral indeterminate SPNs and highlights how quantitative growth at follow-up should be the cornerstone of characterization.
dc.contributor.authorpl
Perandini, Simone
dc.contributor.authorpl
Soardi, Gian Alberto
dc.contributor.authorpl
Motton, Massimiliano
dc.contributor.authorpl
Augelli, Raffaele
dc.contributor.authorpl
Zantedeschi, Lisa
dc.contributor.authorpl
Montemezzi, Stefania
dc.date.accessioned
2017-05-05T07:05:42Z
dc.date.available
2017-05-05T07:05:42Z
dc.date.issuedpl
2016
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. 50
dc.description.physicalpl
46-50
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
81
dc.identifier.doipl
10.12659/PJR.895307
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/40004
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode
dc.share.type
otwarte czasopismo
dc.subject.enpl
lung neoplasms
dc.subject.enpl
multidetector computed tomography
dc.subject.enpl
solitary pulmonary nodule
dc.subtypepl
Article
dc.titlepl
CT imaging features in the characterization of non-growing solid pulmonary nodules in non-smokers
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
3
Views per month
Views per city
Ashburn
1
San Jose
1
Downloads
perandini_soardi_motton_augelli_zantedeschi_montemezzi_ct_imaging_features_in_the_characterization_2016.pdf
6