| Autor: |
Shiying Wu, Ying Liu, Yingna Chen, Chengdang Xu, Panpan Chen, Mengjiao Zhang, Wanli Ye, Denglong Wu, Shengsong Huang, Qian Cheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Photoacoustics, Vol 25, Iss , Pp 100327- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2213-5979 |
| DOI: |
10.1016/j.pacs.2021.100327 |
| Popis: |
Pathology is currently the gold standard for grading prostate cancer (PCa). However, pathology takes considerable time to provide a final result and is significantly dependent on subjective judgment. In this study, wavelet transform-based photoacoustic power spectrum analysis (WT-PASA) was used for grading PCa with different Gleason scores (GSs). The tumor region was accurately identified via wavelet transform time-frequency analysis. Then, a linear fitting was conducted on the photoacoustic power spectrum curve of the tumor region to obtain the quantified spectral parameter slope. The results showed that high GSs have small glandular cavity structures and higher heterogeneity, and consequently, the slopes at both 1210 nm and 1310 nm were high (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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