Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients
BackgroundProstate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans.PurposeThe aim of this study is to verify the diagnostic efficacy of tumo...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1327046/full |
| _version_ | 1797291901589651456 |
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| author | Xiaoyan Qin Jian Lv Jianmei Zhang Ronghua Mu Wei Zheng Fuzhen Liu Bingqin Huang Bingqin Huang Xin Li Peng Yang Kan Deng Xiqi Zhu |
| author_facet | Xiaoyan Qin Jian Lv Jianmei Zhang Ronghua Mu Wei Zheng Fuzhen Liu Bingqin Huang Bingqin Huang Xin Li Peng Yang Kan Deng Xiqi Zhu |
| author_sort | Xiaoyan Qin |
| collection | DOAJ |
| description | BackgroundProstate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans.PurposeThe aim of this study is to verify the diagnostic efficacy of tumor size, length of capsular contact (LCC), apparent diffusion coefficient (ADC), and Amide proton transfer (APT) value in predicting EPE. Additionally, the study aims to investigate the potential additional value of APT for predicting EPE.MethodThis study include 47 tumor organ confined patients (age, 64.16 ± 9.18) and 50 EPE patients (age, 61.51 ± 8.82). The difference of tumor size, LCC, ADC and APT value between groups were compared. Binary logistic regression was used to screen the EPE predictors. The receiver operator characteristic curve analysis was performed to assess the diagnostic performance of variables for predicting EPE. The diagnostic efficacy of combined models (model I: ADC+LCC+tumor size; model II: APT+LCC+tumor size; and model III: APT +ADC+LCC+tumor size) were also analyzed.ResultsAPT, ADC, tumor size and the LCC were independent predictors of EPE. The area under the curve (AUC) of APT, ADC, tumor size and the LCC were 0.752, 0.665, 0.700 and 0.756, respectively. The AUC of model I, model II, and model III were 0.803, 0.845 and 0.869, respectively. The cutoff value of APT, ADC, tumor size and the LCC were 3.65%, 0.97×10−3mm2/s, 17.30mm and 10.78mm, respectively. The sensitivity/specificity of APT, ADC, tumor size and the LCC were 76%/89.4.0%, 80%/59.6%, 54%/78.9%, 72%/66%, respectively. The sensitivity/specificity of model I, Model II and Model III were 74%/72.3%, 82%/72.5% and 84%/80.9%, respectively.Data conclusionAmide proton transfer imaging has added value for predicting EPE. The combination model of APT balanced the sensitivity and specificity. |
| first_indexed | 2024-03-07T19:43:30Z |
| format | Article |
| id | doaj.art-76110dec4c0e4c3396f74fb423474bea |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-03-07T19:43:30Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-76110dec4c0e4c3396f74fb423474bea2024-02-29T04:47:29ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-02-011410.3389/fonc.2024.13270461327046Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patientsXiaoyan Qin0Jian Lv1Jianmei Zhang2Ronghua Mu3Wei Zheng4Fuzhen Liu5Bingqin Huang6Bingqin Huang7Xin Li8Peng Yang9Kan Deng10Xiqi Zhu11Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Graduate School of Guilin Medical University, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaDepartment of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, ChinaPhilips (China) Investment Co., Ltd., Guangzhou Branch, Guangzhou, ChinaDepartment of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, ChinaBackgroundProstate cancer invades the capsule is a key factor in selecting appropriate treatment methods. Accurate preoperative prediction of extraprostatic extension (EPE) can help achieve precise selection of treatment plans.PurposeThe aim of this study is to verify the diagnostic efficacy of tumor size, length of capsular contact (LCC), apparent diffusion coefficient (ADC), and Amide proton transfer (APT) value in predicting EPE. Additionally, the study aims to investigate the potential additional value of APT for predicting EPE.MethodThis study include 47 tumor organ confined patients (age, 64.16 ± 9.18) and 50 EPE patients (age, 61.51 ± 8.82). The difference of tumor size, LCC, ADC and APT value between groups were compared. Binary logistic regression was used to screen the EPE predictors. The receiver operator characteristic curve analysis was performed to assess the diagnostic performance of variables for predicting EPE. The diagnostic efficacy of combined models (model I: ADC+LCC+tumor size; model II: APT+LCC+tumor size; and model III: APT +ADC+LCC+tumor size) were also analyzed.ResultsAPT, ADC, tumor size and the LCC were independent predictors of EPE. The area under the curve (AUC) of APT, ADC, tumor size and the LCC were 0.752, 0.665, 0.700 and 0.756, respectively. The AUC of model I, model II, and model III were 0.803, 0.845 and 0.869, respectively. The cutoff value of APT, ADC, tumor size and the LCC were 3.65%, 0.97×10−3mm2/s, 17.30mm and 10.78mm, respectively. The sensitivity/specificity of APT, ADC, tumor size and the LCC were 76%/89.4.0%, 80%/59.6%, 54%/78.9%, 72%/66%, respectively. The sensitivity/specificity of model I, Model II and Model III were 74%/72.3%, 82%/72.5% and 84%/80.9%, respectively.Data conclusionAmide proton transfer imaging has added value for predicting EPE. The combination model of APT balanced the sensitivity and specificity.https://www.frontiersin.org/articles/10.3389/fonc.2024.1327046/fullprostate cancerextraprostatic extensionlength of capsular contactdiffusion weight imagingamide proton transfertumor size |
| spellingShingle | Xiaoyan Qin Jian Lv Jianmei Zhang Ronghua Mu Wei Zheng Fuzhen Liu Bingqin Huang Bingqin Huang Xin Li Peng Yang Kan Deng Xiqi Zhu Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients Frontiers in Oncology prostate cancer extraprostatic extension length of capsular contact diffusion weight imaging amide proton transfer tumor size |
| title | Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| title_full | Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| title_fullStr | Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| title_full_unstemmed | Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| title_short | Amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| title_sort | amide proton transfer imaging has added value for predicting extraprostatic extension in prostate cancer patients |
| topic | prostate cancer extraprostatic extension length of capsular contact diffusion weight imaging amide proton transfer tumor size |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1327046/full |
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