Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters
AbstractThis study aimed to investigate the independent clinical, pathological, and radiological factors associated with extracapsular extension in radical prostatectomy specimens and to improve the accuracy of predicting extracapsular extension of prostate cancer before surgery.MethodsFrom August 2...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1229552/full |
| _version_ | 1797751661509214208 |
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| author | Jun-guang Wang Bin-tian Huang Li Huang Xia Zhang Pei-pei He Jun-bo Chen |
| author_facet | Jun-guang Wang Bin-tian Huang Li Huang Xia Zhang Pei-pei He Jun-bo Chen |
| author_sort | Jun-guang Wang |
| collection | DOAJ |
| description | AbstractThis study aimed to investigate the independent clinical, pathological, and radiological factors associated with extracapsular extension in radical prostatectomy specimens and to improve the accuracy of predicting extracapsular extension of prostate cancer before surgery.MethodsFrom August 2018 to June 2023, the clinical and pathological data of 229 patients with confirmed prostate cancer underwent radical prostatectomy from The Second Hospital of Yinzhou. The patients’ multiparametric magnetic resonance imaging data were graded using the Likert scale. The chi-square or independent-sample T-test was used to analyze the related factors for an extracapsular extension. Multivariate analysis was used to identify independent factors associated with extracapsular extension in prostate cancer. Additionally, receiver operating characteristic curve analysis was used to calculate the area under the curve and assess the diagnostic performance of our model. The clinical decision curve was used to analyze the clinical net income of Likert scale, biopsy positive rate, biopsy GG, and combined mode.ResultsOf the 229 patients, 52 had an extracapsular extension, and 177 did not. Multivariate analysis showed that the Likert scale score, biopsy grade group and biopsy positive rate were independent risk factors for extracapsular extension in prostate cancer. The area under the curves for the Likert scale score, biopsy grade group, and biopsy positive rate were 0.802, 0.762, and 0.796, respectively. Furthermore, there was no significant difference in the diagnostic efficiency for extracapsular extension (P>0.05). However, when these three factors were combined, the diagnostic efficiency was significantly improved, and the area under the curve increased to 0.905 (P<0.05). In the analysis of the decision curve, The clinical net income of the combined model is obviously higher than that of Likert scale, biopsy positive rate, and biopsy GG.ConclusionThe Likert scale, biopsy grade group and biopsy positive rate are independent risk factors for extracapsular extension in prostate cancer, and their combination can significantly improve the diagnostic efficiency for an extracapsular extension. |
| first_indexed | 2024-03-12T16:51:47Z |
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| id | doaj.art-8c71d45c2ce34dbc9a4e5e5bc746c2b9 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-12T16:51:47Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-8c71d45c2ce34dbc9a4e5e5bc746c2b92023-08-08T11:08:34ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-08-011310.3389/fonc.2023.12295521229552Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parametersJun-guang WangBin-tian HuangLi HuangXia ZhangPei-pei HeJun-bo ChenAbstractThis study aimed to investigate the independent clinical, pathological, and radiological factors associated with extracapsular extension in radical prostatectomy specimens and to improve the accuracy of predicting extracapsular extension of prostate cancer before surgery.MethodsFrom August 2018 to June 2023, the clinical and pathological data of 229 patients with confirmed prostate cancer underwent radical prostatectomy from The Second Hospital of Yinzhou. The patients’ multiparametric magnetic resonance imaging data were graded using the Likert scale. The chi-square or independent-sample T-test was used to analyze the related factors for an extracapsular extension. Multivariate analysis was used to identify independent factors associated with extracapsular extension in prostate cancer. Additionally, receiver operating characteristic curve analysis was used to calculate the area under the curve and assess the diagnostic performance of our model. The clinical decision curve was used to analyze the clinical net income of Likert scale, biopsy positive rate, biopsy GG, and combined mode.ResultsOf the 229 patients, 52 had an extracapsular extension, and 177 did not. Multivariate analysis showed that the Likert scale score, biopsy grade group and biopsy positive rate were independent risk factors for extracapsular extension in prostate cancer. The area under the curves for the Likert scale score, biopsy grade group, and biopsy positive rate were 0.802, 0.762, and 0.796, respectively. Furthermore, there was no significant difference in the diagnostic efficiency for extracapsular extension (P>0.05). However, when these three factors were combined, the diagnostic efficiency was significantly improved, and the area under the curve increased to 0.905 (P<0.05). In the analysis of the decision curve, The clinical net income of the combined model is obviously higher than that of Likert scale, biopsy positive rate, and biopsy GG.ConclusionThe Likert scale, biopsy grade group and biopsy positive rate are independent risk factors for extracapsular extension in prostate cancer, and their combination can significantly improve the diagnostic efficiency for an extracapsular extension.https://www.frontiersin.org/articles/10.3389/fonc.2023.1229552/fullprostate cancerprostate-specific antigenbiopsy grade groupextracapsular extensionmagnetic resonance imaging |
| spellingShingle | Jun-guang Wang Bin-tian Huang Li Huang Xia Zhang Pei-pei He Jun-bo Chen Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters Frontiers in Oncology prostate cancer prostate-specific antigen biopsy grade group extracapsular extension magnetic resonance imaging |
| title | Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters |
| title_full | Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters |
| title_fullStr | Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters |
| title_full_unstemmed | Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters |
| title_short | Prediction of extracapsular extension in prostate cancer using the Likert scale combined with clinical and pathological parameters |
| title_sort | prediction of extracapsular extension in prostate cancer using the likert scale combined with clinical and pathological parameters |
| topic | prostate cancer prostate-specific antigen biopsy grade group extracapsular extension magnetic resonance imaging |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1229552/full |
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