Assessment of prostate imaging reporting and data system version 2.1 false-positive category 4 and 5 lesions in clinically significant prostate cancer
Purpose To determine the incidence and false-positive rates of clinically significant prostate cancer (CSPC) in prostate imaging reporting and data system (PI-RADS) category 4 and 5 lesions using PI-RADS v2.1. Methods One hundred and eighty-two lesions in 169 subjects with a PI-RADS score of 4 or 5...
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| Vydané v: | Abdominal imaging Ročník 46; číslo 7; s. 3410 - 3417 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York
Springer US
01.07.2021
Springer Nature B.V |
| Predmet: | |
| ISSN: | 2366-004X, 2366-0058, 2366-0058 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Purpose
To determine the incidence and false-positive rates of clinically significant prostate cancer (CSPC) in prostate imaging reporting and data system (PI-RADS) category 4 and 5 lesions using PI-RADS v2.1.
Methods
One hundred and eighty-two lesions in 169 subjects with a PI-RADS score of 4 or 5 were included in our study. Lesions with clinically insignificant prostate cancer (CIPC) or benign pathologic findings were reviewed and categorized by a radiologist. The initial comparison of demographic and clinical data was performed by
t
-test and
χ
2
test, and then the logistic regression model was used to determine factors associated with CIPC or benign pathological findings.
Results
Of the 182 PI-RADS category 4 and 5 lesions, 84.6% (154/182) were prostate cancer (PCa), 73.1% (133/182) were CSPC, and 26.9% (49/182) were CIPC or benign pathologic findings. The false-positive cases included 44.9% (22/49) with inflammation, 42.9% (21/49) with CIPC, 8.2% (4/49) with BPH nodules and 4.1% (2/49) with normal anatomy cases. In multivariate analysis, factors associated with CIPC or benign features included those in both the peripheral zone (PZ) and central gland (CG) (odds ratio [OR] 0.062;
p
= 0.003) and a low prostate-specific antigen density (PSAD) (OR 0.34;
p
= 0.012).
Conclusion
The integration of clinical information (PSAD and lesion location) into mpMRI to identify lesions helps with obtaining a clinically significant diagnosis and decision-making. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 2366-004X 2366-0058 2366-0058 |
| DOI: | 10.1007/s00261-021-03023-w |