Nomograms Combining PHI and PI-RADS in Detecting Prostate Cancer: A Multicenter Prospective Study Article Swipe
Yongheng Zhou
,
Qiang Fu
,
Zhiqiang Shao
,
Keqin Zhang
,
Wenqiang Qi
,
Shangzhen Geng
,
Wenfu Wang
,
Jianfeng Cui
,
Xin Jiang
,
Rongyang Li
,
Yaofeng Zhu
,
Shouzhen Chen
,
Benkang Shi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/jcm12010339
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/jcm12010339
(1) Background: The study aimed to construct nomograms to improve the detection rates of prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in the Asian population. (2) Methods: This multicenter prospective study included a group of 293 patients from three hospitals. Univariable and multivariable logistic regression analysis was performed to identify potential risk factors and construct nomograms. Discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. The web-based dynamic nomograms were subsequently built based on multivariable logistic analysis. (3) Results: A total of 293 patients were included in our study with 201 negative and 92 positive results in PCa. Four independent predictive factors (age, prostate health index (PHI), prostate volume, and prostate imaging reporting and data system score (PI-RADS)) for PCa were included, and four factors (age, PHI, PI-RADS, and Log PSA Density) for CSPCa were included. The area under the ROC curve (AUC) for PCa was 0.902 in the training cohort and 0.869 in the validation cohort. The AUC for CSPCa was 0.896 in the training cohort and 0.890 in the validation cohort. (4) Conclusions: The combined diagnosis of PHI and PI-RADS can avoid more unnecessary biopsies and improve the detection rate of PCa and CSPCa. The nomogram with the combination of age, PHI, PV, and PI-RADS could improve the detection of PCa, and the nomogram with the combination of age, PHI, PI-RADS, and Log PSAD could improve the detection of CSPCa.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm12010339
- https://www.mdpi.com/2077-0383/12/1/339/pdf?version=1672567765
- OA Status
- gold
- Cited By
- 10
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313472624
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313472624Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/jcm12010339Digital Object Identifier
- Title
-
Nomograms Combining PHI and PI-RADS in Detecting Prostate Cancer: A Multicenter Prospective StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Yongheng Zhou, Qiang Fu, Zhiqiang Shao, Keqin Zhang, Wenqiang Qi, Shangzhen Geng, Wenfu Wang, Jianfeng Cui, Xin Jiang, Rongyang Li, Yaofeng Zhu, Shouzhen Chen, Benkang ShiList of authors in order
- Landing page
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https://doi.org/10.3390/jcm12010339Publisher landing page
- PDF URL
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https://www.mdpi.com/2077-0383/12/1/339/pdf?version=1672567765Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2077-0383/12/1/339/pdf?version=1672567765Direct OA link when available
- Concepts
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Nomogram, Medicine, Prostate cancer, Logistic regression, Receiver operating characteristic, Prospective cohort study, Cohort, Prostate, Urology, Internal medicine, Oncology, CancerTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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