Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Dudeck, O; Zeile, M; Andreou, D; Schnapauff, D; Pech, M; Wieners, G; Ricke, J; Reichardt, P; Tunn, PU.
Computed tomographic criteria for the discrimination of subcentimeter lung nodules in patients with soft-tissue sarcomas.
Clin Imaging. 2011; 35(3): 174-9.
Doi: 10.1016/j.clinimag.2010.06.005
Web of Science
PubMed
FullText
FullText_MUG
- Co-authors Med Uni Graz
- Andreou Dimosthenis
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- The aim of this study was to identify criteria for nodule characterization on chest computed tomography in patients with soft tissue sarcomas. In 195 patients, a total of 194 benign and 117 malignant subcentimeter lung nodules were retrospectively analyzed according to lesion size, shape, margins, density, and localization. Benign lesions more frequently displayed complex shape and were of ground-glass density (P<.0001, respectively). In contrast, round shape and solid density were more frequently found in malignant lesions (P<.0001, respectively).
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms - administration & dosage
- Female - administration & dosage
- Humans - administration & dosage
- Male - administration & dosage
- Middle Aged - administration & dosage
- Pattern Recognition, Automated - methods
- Radiographic Image Enhancement - methods
- Radiographic Image Interpretation, Computer-Assisted - methods
- Reproducibility of Results - administration & dosage
- Sarcoma - diagnostic imaging
- Sensitivity and Specificity - administration & dosage
- Solitary Pulmonary Nodule - diagnostic imaging
- Tomography, X-Ray Computed - methods
- Find related publications in this database (Keywords)
- Characterization
- Computed tomography
- Lung nodules
- Soft tissue sarcomas
- Subcentimeter