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This study evaluates whether ultrahigh b-value diffusion-weighted imaging (DWI) in 3T MRI can non-invasively predict Gleason score using quantitative apparent diffusion coefficient (ADC) measurements. Seventy-eight patients underwent T2WI, conventional DWI, and ultrahigh b-value DWI with b=2,000 and 3,000 s/mm², with biopsy as the reference standard. Ultrahigh b-values showed significant ADC separation between cancerous and noncancer tissues, strong inverse correlations with Gleason scores, improved ROC performance at b=3,000, and distinct ADC values for low- versus intermediate/high-risk groups.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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diffusion-weighted imaging (DWI) in 3T MRI as a non-invasive predictor for Gleason score in prostate cancer  \nKun Zhang1*, Zhengming Chen1\\#, Chen Zhang1\\#, Meifeng Wang1, Yonggui Fu1, Yun Zhang2, Yingying Hu2, Yanguang Shen3*, Huiyi Ye4*  \n1Department of Radiology, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China; 2Department of Radiology, Peking University International Hospital, Beijing, China; 3Department of Radiology, Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China; 4Department of Radiology, Chinese PLA General Hospital, Beijing, China  \nContributions: (I) Conception and design: K Zhang, Y Shen, H Ye; (II) Administrative support: K Zhang, Y Shen, H Ye; (III) Provision of study materials or patients: K Zhang, Z Chen, C Zhang, M Wang, Y Fu; (IV) Collection and assembly of data: K Zhang, Z Chen, C Zhang, Y Fu, Y Zhang, Y Hu; (V) Data analysis and interpretation: K Zhang, Z Chen, C Zhang, M Wang, Y Fu; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.  \n\\#These authors contributed equally to this work as co-first authors.  \n*These authors contributed equally to this work.  \nCorrespondence to: Kun Zhang, MD. Department of Radiology, The Sixth Medical Center of Chinese PLA General Hospital, 6 Fucheng Rd, Haidian District, Beijing 100048, China. Email: [zkbeir@163.com](zkbeir@163.com); Yanguang Shen, MD. Department of Radiology, Beijing University of Chinese Medicine Third Affiliated Hospital, 51 Anwai Xiaoguan St, Chaoyang District, Beijing 100080, China. Email: [shenyanguang@163.com](shenyanguang@163.com); Huiyi Ye, MD. Department of Radiology, Chinese PLA General Hospital, 28 Fuxing Rd, Haidian District, Beijing 100080, [China. Email: hyi_ye@163.com](China. Email: hyi_ye@163.com).  \nBackground: Accurate risk stratification of prostate cancer (PCa) is crucial for clinical management.  \nAlthough diffusion-weighted imaging (DWI) is widely used in PCa evaluation, the value of high and ultrahigh b-values remains under investigation. This study aimed to explore the predictive value of ultrahigh  \nb-value DWI for the Gleason score of PCa patients.  \nMethods: This study gathered a total of 78 patients and acquired T2-weighted imaging (T2WI), conventional DWI (0, 1,000 s/mm2), and ultrahigh b-value DWI (0, 2,000, and 3,000 s/mm2) from each patient. Using reference biopsy as the gold standard, the apparent diffusion coefficient (ADC) of DWI images at different b-values was analyzed. On the basis of regression analysis at various b-values and receiver operating characteristic (ROC) curves, the 3,000 s/mm2 ultrahigh b-value DWI demonstrated greater  \ndiagnostic performance in assessing the differentiation of PCa.  \nResults: A total of 154 biopsy-confirmed lesions (102 cancerous lesions and 52 noncancer lesions) were analyzed. Ultrahigh b-value DWI (b=2,000 and 3,000 s/mm2) demonstrated significant differences in ADC values between PCa and noncancerous tissues (P\u003C0 .05): at b=2,000 s/mm2, the PCa ADC was 0. 740±0 .173 ×10−3 mm2/s vs. the non-PCa ADC was 0. 949±0 .176 ×10−3 mm2/s, whereas at b=3,000 s/mm2, the PCa ADC decreased to 0. 581±0 .130 vs. the non-PCa ADC was 0. 748±0 .179 ×10−3 mm2/s, with no overlap between groups. Both b-values showed inverse correlations between the ADC values and Gleason scores (b=2,000: r=−0 .401, R2=0 . 161; b=3,000: r=−0 .489, R2=0 .240), with stronger linearity at higher b-values.  \nRisk stratification revealed distinct ADC values between the low-risk (0 .926±0 .125 ×10−3 mm2/s at b=2,000;  \n0. 726±0 .097 ×10−3 mm2/s at b=3,000) and intermediate/high-risk groups (P\u003C0 .05), although no significant differences existed between the intermediate-and high-risk groups (P>0.05). ROC analysis for differentiating Gleason \u003C7 vs. ≥7 lesions revealed greater diagnostic accuracy at b=3,000 [area under the curve (AUC)  \n© A","cbCaitab1wYXAelj","https://ap.wps.com/l/cbCaitab1wYXAelj","pdf",1569305,12,"English","# Background\n# Methods\n## Imaging and ADC evaluation\n## Reference standard and statistical analysis\n# Results\n## Lesion-based ADC comparisons\n## Correlation with Gleason score\n## Risk stratification and ROC performance\n# Conclusions","[{\"question\":\"What was the purpose of the study?\",\"answer\":\"To assess whether ultrahigh b-value DWI-derived ADC values can predict the Gleason score of prostate cancer non-invasively.\"},{\"question\":\"How was the ADC measured in the imaging protocol?\",\"answer\":\"Patients underwent T2WI, conventional DWI, and ultrahigh b-value DWI, and ADC values were analyzed across different b-values using biopsy as the reference standard.\"},{\"question\":\"Which b-value performed best for differentiating Gleason \\u003c7 vs ≥7 lesions?\",\"answer\":\"b=3,000 s/mm² showed greater diagnostic accuracy than b=2,000 s/mm² based on ROC analysis.\"}]","Objective value of the apparent diffusion coefficient (ADC) map from ultrahigh b-value diffusion-weighted imaging (DWI) in 3T MRI as a non-invasive predictor for Gleason score in prostate cancer | PDF",1790081147]