Automated Author ProfilePhutsapong Srisawat
Phutsapong Srisawat
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Objective: In this study, we purpose to study the diagnostic accuracy and other diagnostic values (diagnostic yield, error, complication) of CNB without real-time image-guidance in out-patient clinic by comparing with open incisional biopsy in musculoskeletal sarcoma patients. Methods: We retrospectively reviewed the biopsy cases of sarcoma patients since 2002-2011 from medical records and histopathology database. The diagnostic accuracy in 4 aspects of histopathology: nature (benign or malignant), specific diagnosis, histological type, and histological grade between 2 methods were compared statistically, the gold standard were the histopathology from resected specimens while definite surgery and information of clinicoradiographic/laboratory by clinical course. The other diagnostic values (diagnostic yield, error, complication) were also compared between both methods. Results: There were 200 cases (open incisional biopsy 105 cases and CNB 95 cases). The diagnostic accuracies of open incisional biopsy were 97.14% for nature, 89.52% for specific diagnosis, 89.52% for histological type, 88.57% for histological grade and the diagnostic accuracies of CNB were 96.84%, 89.47%, 88.42%, 86.32% respectively. There were no statistically significant different between 2 methods in all histological aspects (nature; P-value = 0.901 95%CI = -0.432 to 0.380, specific diagnosis; P-value = 0.991 95%CI = -0.227 to 0.224, histological type P- value = 0.803 95%CI = -0.250 to 0.193, and histological grade; P-value = 0.63 95%CI = -0.261 to 0.158). The diagnostic yields of both methods were 98.13% for open incisional biopsy, 97.94% for CNB. It was no statistically significant different also as shown in table 6 (P-value = 0.919 95%CI = -0.469 to 0.520). There were 6 cases (3%) for overall major errors, 3 cases (2.86%) for open incisional biopsy and 3 cases (3.16%) for CNB. There were 18 cases (9%) for minor errors, 9 cases (8.57%) for open incisional biopsy and 9 cases (9.47%) for CNB. There was no related biopsy complication in both methods. Conclusion: The office-based CNB for diagnosis musculoskeletal sarcoma can achieve the acceptable high diagnostic accuracy rates comparing with the open incisional biopsy.
Authors
- Phutsapong Srisawat