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Thoracic Temporal Subtraction Three Dimensional Computed Tomography (3D-CT): Screening for Vertebral Metastases of Primary Lung Cancers
- Source :
- PLoS ONE, PLoS ONE, Vol 12, Iss 1, p e0170309 (2017)
- Publication Year :
- 2016
-
Abstract
- Purpose We developed an original, computer-aided diagnosis (CAD) software that subtracts the initial thoracic vertebral three-dimensional computed tomography (3D-CT) image from the follow-up 3D-CT image. The aim of this study was to investigate the efficacy of this CAD software during screening for vertebral metastases on follow-up CT images of primary lung cancer patients. Materials and Methods The interpretation experiment included 30 sets of follow-up CT scans in primary lung cancer patients and was performed by two readers (readers A and B), who each had 2.5 years’ experience reading CT images. In 395 vertebrae from C6 to L3, 46 vertebral metastases were identified as follows: osteolytic metastases (n = 17), osteoblastic metastases (n = 14), combined osteolytic and osteoblastic metastases (n = 6), and pathological fractures (n = 9). Thirty-six lesions were in the anterior component (vertebral body), and 10 lesions were in the posterior component (vertebral arch, transverse process, and spinous process). The area under the curve (AUC) by receiver operating characteristic (ROC) curve analysis and the sensitivity and specificity for detecting vertebral metastases were compared with and without CAD for each observer. Results Reader A detected 47 abnormalities on CT images without CAD, and 33 of them were true-positive metastatic lesions. Using CAD, reader A detected 57 abnormalities, and 38 were true positives. The sensitivity increased from 0.717 to 0.826, and on ROC curve analysis, AUC with CAD was significantly higher than that without CAD (0.849 vs. 0.902, p = 0.021). Reader B detected 40 abnormalities on CT images without CAD, and 36 of them were true-positive metastatic lesions. Using CAD, reader B detected 44 abnormalities, and 39 were true positives. The sensitivity increased from 0.783 to 0.848, and AUC with CAD was nonsignificantly higher than that without CAD (0.889 vs. 0.910, p = 0.341). Both readers detected more osteolytic and osteoblastic metastases with CAD than without CAD. Conclusion Our temporal 3D-CT subtraction CAD software easily detected vertebral metastases on the follow-up CT images of lung cancer patients regardless of the osteolytic or osteoblastic nature of the lesions.
- Subjects :
- Male
Lung Neoplasms
Vertebrae
Radiography
lcsh:Medicine
CAD
Pathology and Laboratory Medicine
Lung and Intrathoracic Tumors
030218 nuclear medicine & medical imaging
Metastasis
Diagnostic Radiology
0302 clinical medicine
Basic Cancer Research
Medicine and Health Sciences
lcsh:Science
Tomography
Musculoskeletal System
Aged, 80 and over
Multidisciplinary
medicine.diagnostic_test
Radiology and Imaging
Subtraction
Middle Aged
Magnetic Resonance Imaging
Pulmonary Imaging
Oncology
030220 oncology & carcinogenesis
Carcinoma, Squamous Cell
Radiographic Image Interpretation, Computer-Assisted
Female
Radiography, Thoracic
Radiology
Anatomy
Research Article
Adult
medicine.medical_specialty
Imaging Techniques
Bone Neoplasms
Neuroimaging
Adenocarcinoma
Research and Analysis Methods
03 medical and health sciences
Imaging, Three-Dimensional
Signs and Symptoms
Diagnostic Medicine
medicine
Humans
Lung cancer
Aged
Retrospective Studies
Receiver operating characteristic
business.industry
lcsh:R
Biology and Life Sciences
Cancers and Neoplasms
Magnetic resonance imaging
medicine.disease
Small Cell Lung Carcinoma
Spine
Computed Axial Tomography
ROC Curve
Lesions
lcsh:Q
business
Tomography, X-Ray Computed
Software
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....f8844aefe32cac70d3af9627b867d74a