2021
DOI: 10.1177/03000605211019879
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Significance of the prostate central gland and total gland volume ratio in the diagnosis of prostate cancer patients in the prostate specific antigen grey zone

Abstract: Objective To explore the significance of the prostate central gland to total gland volume ratio (PVc/PV) in the diagnosis of prostate cancer (PCa) in patients with prostate specific antigen (PSA) levels in the grey zone (4–10 ng/ml). Methods This retrospective study enrolled patients that had undergone prostate biopsy. The volume of the prostate and the central prostate gland were measured. The differences in PSA, the ratio of free to total PSA (f/tPSA), PSA density (PSAD) and PVc/PV between the PCa and non-PC… Show more

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Cited by 2 publications
(2 citation statements)
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“…[ 38 ] Another possible reason is that in clinical practice, PCa is usually distinguished according to the expression level of PSA, but BPH can also lead to a slight increase in PSA expression level, especially when PSA expression level is in the gray area (4–10 ng/ml), it is more difficult to distinguish the PCa and BPH. [ 39 ]…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…[ 38 ] Another possible reason is that in clinical practice, PCa is usually distinguished according to the expression level of PSA, but BPH can also lead to a slight increase in PSA expression level, especially when PSA expression level is in the gray area (4–10 ng/ml), it is more difficult to distinguish the PCa and BPH. [ 39 ]…”
Section: Resultsmentioning
confidence: 99%
“…[38] Another possible reason is that in clinical practice, PCa is usually distinguished according to the expression level of PSA, but BPH can also lead to a slight increase in PSA expression level, especially when PSA expression level is in the gray area (4-10 ng/ml), it is more difficult to distinguish the PCa and BPH. [39] Here, ROC curve was used to evaluate the diagnostic performance of PCA-LDA diagnostic algorithm in normal, BPH, and PCa. As shown in Figure 4d, the areas under ROC curve of three data sets of normal versus PCa, normal versus BPH, and PCa versus BPH are 0.999, 0.974, and 0.788, respectively.…”
Section: Pca-lda and Pls-svm Statistical Analysismentioning
confidence: 99%