What's New on Quantitative CT Analysis as a Tool to Predict Growth in Persistent Pulmonary Subsolid Nodules? A Literature Review.
computer-assisted image analysis
ground-glass nodule
multidetector computed tomography
non-solid nodule
part-solid nodule
pulmonary nodule
subsolid nodule
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
21 Jan 2020
21 Jan 2020
Historique:
received:
27
12
2019
revised:
16
01
2020
accepted:
19
01
2020
entrez:
25
1
2020
pubmed:
25
1
2020
medline:
25
1
2020
Statut:
epublish
Résumé
Pulmonary subsolid nodules (SSNs) are observed not infrequently on thin-section chest computed tomography (CT) images. SSNs persisting after a follow-up period of three to six months have a high likelihood of being pre-malignant or malignant lesions. Malignant SSNs usually represent the histologic spectrum of pulmonary adenocarcinomas, and pulmonary adenocarcinomas presenting as SSNs exhibit quite heterogeneous behavior. In fact, while most lesions show an indolent course and may grow very slowly or remain stable for many years, others may exhibit significant growth in a relatively short time. Therefore, it is not yet clear which persistent SSNs should be surgically removed and for how many years stable SSNs should be monitored. In order to solve these two open issues, the use of quantitative analysis has been proposed to define the "tailored" management of persistent SSNs. The main purpose of this review was to summarize recent results about quantitative CT analysis as a diagnostic tool for predicting the behavior of persistent SSNs. Thus, a literature search was conducted in PubMed/MEDLINE, Scopus, and Web of Science databases to find original articles published from January 2014 to October 2019. The results of the selected studies are presented and compared in a narrative way.
Identifiants
pubmed: 31973010
pii: diagnostics10020055
doi: 10.3390/diagnostics10020055
pmc: PMC7168253
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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