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Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules
- Source :
- European Radiology, European Radiology, 27, 4672-4679, European Radiology, 27, 11, pp. 4672-4679
- Publication Year :
- 2016
-
Abstract
- Contains fulltext : 181940.pdf (Publisher’s version ) (Open Access) PURPOSE: Lung-RADS proposes malignancy probabilities for categories 2 (15%). The purpose of this study was to quantify and compare malignancy rates for Lung-RADS 2 and 4B subsolid nodules (SSNs) on a nodule base. METHODS: We identified all baseline SSNs eligible for Lung-RADS 2 and 4B in the National Lung Screening Trial (NLST) database. Solid cores and nodule locations were annotated using in-house software. Malignant SSNs were identified by an experienced radiologist using NLST information. Malignancy rates and percentages of persistence were calculated. RESULTS: Of the Lung-RADS 2SSNs, 94.3% (1790/1897) could be located on chest CTs. Likewise, 95.1% (331/348) of part-solid nodules >/=6 mm in diameter could be located. Of these, 120 had a solid core >/=8 mm, corresponding to category 4B. Category 2 SSNs showed a malignancy rate of 2.5%, exceeding slightly the proposed rate of
- Subjects :
- medicine.medical_specialty
Lung Neoplasms
Databases, Factual
Vascular damage Radboud Institute for Health Sciences [Radboudumc 16]
Malignancy
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine
Humans
Radiology, Nuclear Medicine and imaging
Neoplasm Invasiveness
Lung cancer
Early Detection of Cancer
Neuroradiology
Probability
Multiple Pulmonary Nodules
Lung
medicine.diagnostic_test
business.industry
Nodule (medicine)
Interventional radiology
General Medicine
Middle Aged
medicine.disease
Management
medicine.anatomical_structure
030220 oncology & carcinogenesis
Chest
Screening
Radiographic Image Interpretation, Computer-Assisted
National Lung Screening Trial
Female
Radiology
medicine.symptom
Subsolid
business
Nuclear medicine
Tomography, X-Ray Computed
Software
Rare cancers Radboud Institute for Health Sciences [Radboudumc 9]
Pulmonary nodules
Subjects
Details
- ISSN :
- 14321084 and 09387994
- Volume :
- 27
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- European radiology
- Accession number :
- edsair.doi.dedup.....a45c9fe69466e65b9318777b1a3bd6e9