Role of Arrival Time Difference Between Lesions and Lung Tissue on Contrast‐Enhanced Sonography in the Differential Diagnosis of Subpleural Pulmonary Lesions
Adult
Male
Lung Neoplasms
Contrast Media
Reproducibility of Results
Middle Aged
Image Enhancement
Sensitivity and Specificity
Time
3. Good health
Diagnosis, Differential
03 medical and health sciences
0302 clinical medicine
ROC Curve
Humans
Female
Lung
Aged
Ultrasonography
DOI:
10.7863/ultra.15.08022
Publication Date:
2016-06-01T00:47:55Z
AUTHORS (8)
ABSTRACT
ObjectivesThe purpose of this study was to explore the diagnostic value of the arrival time difference between lesions and surrounding lung tissue on contrast‐enhanced sonography of subpleural pulmonary lesions.MethodsA total of 110 patients with subpleural pulmonary lesions who underwent both conventional and contrast‐enhanced sonography and had a definite diagnosis were enrolled. After contrast agent injection, the arrival times in the lesion, lung, and chest wall were recorded. The arrival time differences between various tissues were also calculated.ResultsStatistical analysis showed a significant difference in the lesion arrival time, the arrival time difference between the lesion and lung, and the arrival time difference between the chest wall and lesion (all P < .001) for benign and malignant lesions. Receiver operating characteristic curve analysis revealed that the optimal diagnostic criterion was the arrival time difference between the lesion and lung, and that the best cutoff point was 2.5 seconds (later arrival signified malignancy). This new diagnostic criterion showed superior diagnostic accuracy (97.1%) compared to conventional diagnostic criteria.ConclusionsThe individualized diagnostic method based on an arrival time comparison using contrast‐enhanced sonography had high diagnostic accuracy (97.1%) with good feasibility and could provide useful diagnostic information for subpleural pulmonary lesions.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (20)
CITATIONS (23)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....