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Quantitative CT analysis for predicting the behavior of part-solid nodules with solid components less than 6 mm: Size, density and shape descriptors
- Source :
- Applied Sciences, Vol 9, Iss 16, p 3428 (2019), Applied Sciences, Volume 9, Issue 16
- Publication Year :
- 2019
-
Abstract
- Persistent part-solid nodules (PSNs) with a solid component &lt<br />6 mm usually represent minimally invasive adenocarcinomas and are significantly less aggressive than PSNs with a solid component &ge<br />6 mm. However, not all PSNs with a small solid component behave in the same way: some nodules exhibit an indolent course, whereas others exhibit more aggressive behavior. Thus, predicting the future behavior of this subtype of PSN remains a complex and fascinating diagnostic challenge. The main purpose of this study was to apply open-source software to investigate which quantitative computed tomography (CT) features may be useful for predicting the behavior of a select group of PSNs. We retrospectively selected 50 patients with a single PSN with a solid component &lt<br />6 mm and diameter &lt<br />15 mm. Computerized analysis was performed using ImageJ software for each PSN and various quantitative features were calculated from the baseline CT images. The area, perimeter, mean Feret diameter, linear mass density, circularity and solidity were significantly related to nodule growth (p &le<br />0.031). Therefore, quantitative CT analysis was helpful for predicting the future behavior of a select group of PSNs with a solid component &lt<br />15 mm.
- Subjects :
- Materials science
Solitary pulmonary nodule
Follow-up studies
lcsh:Technology
030218 nuclear medicine & medical imaging
lcsh:Chemistry
Perimeter
Multidetector computed tomography
03 medical and health sciences
0302 clinical medicine
Computer-assisted
Image processing
Part-solid nodule
medicine
General Materials Science
Quantitative computed tomography
lcsh:QH301-705.5
Instrumentation
Fluid Flow and Transfer Processes
medicine.diagnostic_test
lcsh:T
Process Chemistry and Technology
Computerized analysis
General Engineering
Ct analysis
Feret diameter
Nodule (medicine)
medicine.disease
lcsh:QC1-999
Solid component
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
030220 oncology & carcinogenesis
medicine.symptom
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Biomedical engineering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Applied Sciences, Vol 9, Iss 16, p 3428 (2019), Applied Sciences, Volume 9, Issue 16
- Accession number :
- edsair.doi.dedup.....0cb7f9cbefc32b32b173c245230c61f1