[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-338553-105":3,"detail-sidebar-cat-0-en-105":85,"doc-detail-338553-en":134},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":78,"head_meta":80,"extra_data":82,"updated_unix":84},105,"en","cancer-detection-in-patients-with-prostate-specific-antigen-levels-within-the-grey-zone-can-synthetic-magnetic-resonance-imaging-aid-in-the-differentiation-between-prostate-cancer-and-noncancerous-lesions","Cancer detection in patients with prostate-specific antigen levels within the grey zone - can synthetic magnetic resonance imaging aid in the differentiation between prostate cancer and noncancerous lesions?","","The detection of prostate cancer (PCa) in patients whose prostate-specific antigen (PSA) falls within the grey zone (4–10 ng/mL) remains difficult using conventional MRI. This retrospective study assessed whether synthetic MRI can distinguish PCa lesions from noncancerous lesions. Quantitative parameters (T1, T2, PD, and ADC) were measured from manually defined regions of interest, with diagnostic performance evaluated via statistical tests and ROC analyses. ADC showed the best discrimination, and combining parameters with ADC did not improve over ADC 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PSA range defines the “grey zone” in this study?","Question",{"text":63,"@type":64},"The study focuses on patients with PSA levels between 4 and 10 ng/mL.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which synthetic MRI quantitative parameters were evaluated?",{"text":68,"@type":64},"The parameters measured were longitudinal relaxation time (T1), transverse relaxation time (T2), proton density (PD), and apparent diffusion coefficient (ADC).",{"name":70,"@type":61,"acceptedAnswer":71},"How did ADC perform compared with the other parameters?",{"text":72,"@type":64},"ADC demonstrated the superior diagnostic performance, with AUC 0.854, outperforming T1, T2, and PD.",{"name":74,"@type":61,"acceptedAnswer":75},"Did combining T1, T2, PD with ADC improve diagnostic accuracy?",{"text":76,"@type":64},"No. The combined model did not significantly improve diagnostic performance compared with ADC alone (P=0.982).","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},338553,1790457021,{"code":4,"msg":86,"data":87},"success",[88,92,96,100,105,109,113,118,123,126,130],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & 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imaging aid in the differentiation between prostate cancer and noncancerous lesions?  \nWenxin Cao1\\#, Jinhua Lin2\\#, Yanling Chen1\\#, Jian Ling3, Tiebao Meng4, Zhihua Wen1, Chuanmiao Xie4, Long Qian5, Yan Guo1, Weijing Zhang4, Huanjun Wang1  \n1Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; 2Department of Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; 3Department of Radiology, The Eastern Hospital of The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; 4Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China; 5Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China  \nContributions: (I) Conception and design: W Cao, J Lin, Y Chen; (II) Administrative support: Y Guo, W Zhang, H Wang; (III) Provision of study materials or patients: J Ling, T Meng, Z Wen, C Xie, L Qian, Y Guo, W Zhang, H Wang; (IV) Collection and assembly of data: W Cao, J Lin, Y Chen, J Ling, Z Wen, L Qian; (V) Data analysis and interpretation: W Cao, J Lin, Y Chen, J Ling; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.  \n\\#These authors contributed equally to this work as co-first authors.  \nCorrespondence to: Yan Guo, MD, PhD. Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou 510080, [China. Email: gyan@mail.sysu.edu.cn](China. Email: gyan@mail.sysu.edu.cn); Weijing Zhang, MD, PhD. Department of Radiology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou 510060, China. Email: [zhangwj@sysucc.org.cn](zhangwj@sysucc.org.cn); Huanjun Wang, MD, PhD. Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou 510080, China. Email: [wanghj45@mail.sysu.edu.cn](wanghj45@mail.sysu.edu.cn).  \nBackground: The detection of prostate cancer (PCa) via conventional magnetic resonance imaging (MRI) in patients with prostate-specific antigen (PSA) levels within the grey zone remains challenging. Whether synthetic MRI can provide supplementary benefits for the accurate diagnosis of PCa in this specific population is still unknown. This study aims to investigate the diagnostic performance of synthetic MRI for differentiating  \nPCa lesions from noncancerous lesions in patients with PSA levels within the grey zone (4–10 ng/mL) .  \nMethods: Clinical and MRI data, including synthetic MRI data of patients suspected of having PCa between August 2020 and August 2022, were retrospectively collected from The First Affiliated Hospital of Sun Yat-sen University and Sun Yat-sen University Cancer Center. Patients with PSA levels ranging from 4–10 ng/mL were enrolled. Pathology was obtained either from transrectal ultrasound-guided biopsy or radical prostatectomy. Regions of interest were manually drawn by two independent radiologists, and the values of quantitative parameters, including longitudinal relaxation time (T1), transverse relaxation time (T2), proton density (PD), and apparent diffusion coefficient (ADC), were separately measured. Interobserver agreement was evaluated using the interclass correlation coefficient (ICC) . The differences in quantitative parameter values between PCa and noncancerous lesions were assessed using an independent sample t-test or the Mann-Whitney U test. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of each parameter (T1, T2, PD, and ADC values), as well as their combination.  \nP\u003C0.05 indicated statistical significance.  \nResults: A total of 130 patients were enrolled in this study, with a mean age of 67.32±8.87 years. The interobserver agreement of all the T1, T2, PD, and ADC values was classified as good or above (IC","cbCaiaLnFeu7GYCx","https://ap.wps.com/l/cbCaiaLnFeu7GYCx","pdf",1068492,12,"English","# Introduction\n# Methods\n# Results\n# Conclusions","[{\"question\":\"What PSA range defines the “grey zone” in this study?\",\"answer\":\"The study focuses on patients with PSA levels between 4 and 10 ng/mL.\"},{\"question\":\"Which synthetic MRI quantitative parameters were evaluated?\",\"answer\":\"The parameters measured were longitudinal relaxation time (T1), transverse relaxation time (T2), proton density (PD), and apparent diffusion coefficient (ADC).\"},{\"question\":\"How did ADC perform compared with the other parameters?\",\"answer\":\"ADC demonstrated the superior diagnostic performance, with AUC 0.854, outperforming T1, T2, and PD.\"},{\"question\":\"Did combining T1, T2, PD with ADC improve diagnostic accuracy?\",\"answer\":\"No. The combined model did not significantly improve diagnostic performance compared with ADC alone (P=0.982).\"}]","Cancer detection in patients with prostate-specific antigen levels within the grey zone - can synthetic magnetic resonance imaging aid in the differentiation between prostate cancer and noncancerous lesions? | PDF",1790024212]