Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29719
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dc.contributor.authorKrstev, Tonien_US
dc.contributor.authorStojanoski, Ivicaen_US
dc.contributor.authorIlievski, Lazaren_US
dc.contributor.authorTufekchioski, Nerhimen_US
dc.contributor.authorPrgova Veljanova, Biljanaen_US
dc.contributor.authorKostova, Mashaen_US
dc.contributor.authorStojcheva Taneva, Oliveraen_US
dc.contributor.authorTrojachanec, Jasminaen_US
dc.contributor.authorMilenkovski, Stefanen_US
dc.date.accessioned2024-03-07T11:53:28Z-
dc.date.available2024-03-07T11:53:28Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/29719-
dc.description.abstractTo evaluate the values of PHI and PI-RADS findings in the early detection and prediction of prostate cancer, as well as their application in clinical trials, especially when values of PSA are in the „ grey zone„ with negative DRE. The 100 patients, men aged 50 years or older with prostate-specific antigen 4 to 10 ng/ml („gray zone„) and normal digital rectal examinationwith suspected prostate cancer were examined, who had undergone biopsy and were divided in two groups. A group with no evidence of PCa (non PCa) and the group with PCa. The performance of PHI and mpMRI PI-RADS score was compared to predict biopsy results and, specifically, the presence of clinically significant prostate cancer (csPCa) using multiple criteria. Among 100 subjects, 21 (21.0%) were diagnosed with PC, including 13 (61.95%) with csPC (Gleason≥7). By the threshold of PHI≥36, the sensitivity, specificity, PPV, and NPV to predict PCa were 100%, 68.35%, 45.65%, and 100%, respectively. The best cut-off (PHI) was 42.8% with sensitivity 85.7% and specificity 86.1%. The area under the receiver operator characteristic curve (AUC) of combining PHI and mpMRI was greater than that of PHI alone (0.993 vs. 0.954, p=0.002) and mpMRI alone (0.993 vs. 0.976, p=0.025). Comparing the performance in the identification of clinically significant prostate cancer (csPCa), we found that PHI ≥ 73.04 and PI-RADS score ≥ 4 were able to identify csPCa (Gleason score ≥ 7 (3 + 4)) both alone and added to a base model including age, PSA, fPSA-to-tPSA ratio and prostate volume. If biopsy was restricted to patients with PI-RADS 5 as well as PI-RADS 3 or 4 and PHI≥36.0, 50% of biopsy could be avoided with one csPCa patient being missed. The analyzed correlation between PHI and PI-RADS score was statistically significant (p<0.0001). According to the value of Spearman's coefficient, R=0.748, the correlation is positive, i.e. direct, and they showed that with an increase in the value of the prostatic health index, (PHI) the PI-RADS score increases, and vice versa. The combination of PHI and mpMRI had higher accuracy for detection of csPC compared with PHI or mpMRI alone.en_US
dc.language.isoenen_US
dc.publisherMacedonian Association of Anatomists and Morphologistsen_US
dc.relation.ispartofJMS = Journal of Morphological Sciencesen_US
dc.subjectProstate health indexen_US
dc.subjectmpMRI PI-RADSen_US
dc.subjectdetection of prostate canceren_US
dc.titleCOMBINING PROSTATE HEALTH INDEX AND ampMRI DATA (MRI SPECTROSCOPY) TO MANAGE PI-RADS LESIONS AND REDUCE EXCESSIVE BIOPSY, A SINGLE CENTER STUDYen_US
dc.typeArticleen_US
dc.identifier.doi10.55302/jms2363203k-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
Appears in Collections:Faculty of Medicine: Journal Articles
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