{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T02:35:36Z","timestamp":1791599736854,"version":"4.3.4"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:00:00Z","timestamp":1766793600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:00:00Z","timestamp":1766793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971669"],"award-info":[{"award-number":["81971669"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-025-05358-0","type":"journal-article","created":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T13:33:14Z","timestamp":1766842394000},"page":"3980-3990","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Application of computed diffusion-weighted imaging in vesical imaging reporting and data system assessment for bladder cancer"],"prefix":"10.1007","volume":"51","author":[{"given":"Minglei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingwen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenji","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhanlong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,27]]},"reference":[{"issue":"1","key":"5358_CR1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3322\/caac.21871","volume":"75","author":"RL Siegel","year":"2025","unstructured":"Siegel, R.L., T.B. Kratzer, A.N. Giaquinto, H. Sung, A. Jemal. (2025). Cancer statistics, 2025. CA A Cancer J Clinicians. 75(1):10\u201345. https:\/\/doi.org\/10.3322\/caac.21871.","journal-title":"CA A Cancer J Clinicians."},{"issue":"4","key":"5358_CR2","doi-asserted-by":"publisher","first-page":"308","DOI":"10.3322\/caac.70011","volume":"75","author":"NS Wagle","year":"2025","unstructured":"Wagle, N.S., L. Nogueira, T.P. Devasia, et al. (2025). Cancer treatment and survivorship statistics, 2025. CA Cancer J Clin. 75(4):308\u2013340. https:\/\/doi.org\/10.3322\/caac.70011.","journal-title":"CA Cancer J Clin."},{"issue":"5","key":"5358_CR3","doi-asserted-by":"publisher","first-page":"409","DOI":"10.3322\/caac.21731","volume":"72","author":"KD Miller","year":"2022","unstructured":"Miller, K.D., L. Nogueira, T. Devasia, et al. (2022). Cancer treatment and survivorship statistics, 2022. CA Cancer J Clin. 72(5):409\u2013436. https:\/\/doi.org\/10.3322\/caac.21731.","journal-title":"CA Cancer J Clin."},{"issue":"4","key":"5358_CR4","doi-asserted-by":"publisher","first-page":"216","DOI":"10.6004\/jnccn.2024.0024","volume":"22","author":"TW Flaig","year":"2024","unstructured":"Flaig, T.W., P.E. Spiess, M. Abern, et al. (2024). Bladder cancer, version 3.2024: Featured updates to the NCCN guidelines. J Natl Compr Canc Netw. 22(4):216\u2013225. https:\/\/doi.org\/10.6004\/jnccn.2024.0024.","journal-title":"J Natl Compr Canc Netw."},{"issue":"4","key":"5358_CR5","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1097\/JU.0000000000003846","volume":"211","author":"JM Holzbeierlein","year":"2024","unstructured":"Holzbeierlein, J.M., B.R. Bixler, D.I. Buckley, et al. (2024). Diagnosis and treatment of non-muscle invasive bladder cancer: AUA\/SUO guideline: 2024 amendment. J Urol. 211(4):533\u2013538. https:\/\/doi.org\/10.1097\/JU.0000000000003846.","journal-title":"J Urol."},{"issue":"3","key":"5358_CR6","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.eururo.2018.04.029","volume":"74","author":"V Panebianco","year":"2018","unstructured":"Panebianco, V., Y. Narumi, E. Altun, et al. (2018). Multiparametric magnetic resonance imaging for bladder cancer: Development of VI-RADS (vesical imaging-reporting and data system). European Urology. 74(3):294\u2013306. https:\/\/doi.org\/10.1016\/j.eururo.2018.04.029.","journal-title":"European Urology."},{"issue":"1","key":"5358_CR7","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.eururo.2019.03.012","volume":"76","author":"Y Ueno","year":"2019","unstructured":"Ueno, Y., M. Takeuchi, T. Tamada, et al. (2019). Diagnostic accuracy and interobserver agreement for the vesical imaging-reporting and data system for muscle-invasive bladder cancer: A multireader validation study. Eur Urol. 76(1):54\u201356. https:\/\/doi.org\/10.1016\/j.eururo.2019.03.012.","journal-title":"Eur Urol."},{"issue":"10","key":"5358_CR8","doi-asserted-by":"publisher","first-page":"5498","DOI":"10.1007\/s00330-019-06117-8","volume":"29","author":"G Barchetti","year":"2019","unstructured":"Barchetti, G., G. Simone, I. Ceravolo, et al. (2019). Multiparametric MRI of the bladder: Inter-observer agreement and accuracy with the vesical imaging-reporting and data system (VI-RADS) at a single reference center. Eur Radio. 29(10):5498\u20135506. https:\/\/doi.org\/10.1007\/s00330-019-06117-8.","journal-title":"Eur Radio."},{"issue":"3","key":"5358_CR9","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1148\/radiol.2019182506","volume":"291","author":"H Wang","year":"2019","unstructured":"Wang, H., C. Luo, F. Zhang, et al. (2019). Multiparametric MRI for bladder cancer: Validation of VI-RADS for the detection of detrusor muscle invasion. Radiology. 291(3):668\u2013674. https:\/\/doi.org\/10.1148\/radiol.2019182506.","journal-title":"Radiology."},{"issue":"1","key":"5358_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.eururo.2019.09.029","volume":"77","author":"F Del Giudice","year":"2020","unstructured":"Del Giudice, F., G. Barchetti, E. De Berardinis, et al. (2020). Prospective assessment of vesical imaging reporting and data system (VI-RADS) and its clinical impact on the management of high-risk non\u2013muscle-invasive bladder cancer patients candidate for repeated transurethral resection. Eur Urol. 77(1):101\u2013109. https:\/\/doi.org\/10.1016\/j.eururo.2019.09.029.","journal-title":"Eur Urol."},{"issue":"4","key":"5358_CR11","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1002\/jmri.27141","volume":"52","author":"SB Hong","year":"2020","unstructured":"Hong, S.B., N.K. Lee, S. Kim, et al. (2020). Vesical imaging\u2013reporting and data system for multiparametric MRI to predict the presence of muscle invasion for bladder cancer. J Magn Reson Imaging. 52(4):1249\u20131256. https:\/\/doi.org\/10.1002\/jmri.27141.","journal-title":"J Magn Reson Imaging."},{"key":"5358_CR12","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.clinimag.2021.02.026","volume":"77","author":"A Akcay","year":"2021","unstructured":"Akcay, A., A.B. Yagci, S. Celen, Y. Ozlulerden, N.S. Turk, F. Ufuk. (2021). VI-RADS score and tumor contact length in MRI: A potential method for the detection of muscle invasion in bladder cancer. Clin Imaging. 77:25\u201336. https:\/\/doi.org\/10.1016\/j.clinimag.2021.02.026.","journal-title":"Clin Imaging."},{"issue":"3","key":"5358_CR13","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1111\/1754-9485.13317","volume":"66","author":"S Huang","year":"2022","unstructured":"Huang, S., J. Bain, T.W. Yiu, et al. (2022). Accuracy of the vesical imaging\u2013reporting and data system (VIRADS) for pre-treatment staging of blad. J Med Imaging Radiat Oncol. 66(3):370\u2013376. https:\/\/doi.org\/10.1111\/1754-9485.13317.","journal-title":"J Med Imaging Radiat Oncol"},{"issue":"1","key":"5358_CR14","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1002\/jmri.27361","volume":"55","author":"V Panebianco","year":"2022","unstructured":"Panebianco, V., M. Pecoraro, F. Del Giudice, et al. (2022). VI-RADS<\/span\u2009>\u2009for bladder cancer: current applications and future developments. J Magn Reson Imaging. 55(1):23\u201336. https:\/\/doi.org\/10.1002\/jmri.27361.","journal-title":"J Magn Reson Imaging."},{"issue":"4","key":"5358_CR15","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1002\/jmri.26294","volume":"48","author":"CB Van Der Pol","year":"2018","unstructured":"Van Der Pol, C.B., A. Chung, C. Lim, et al. (2018). Update on multiparametric MRI of urinary bladder cancer. J Magn Reson Imaging. 48(4):882\u2013896. https:\/\/doi.org\/10.1002\/jmri.26294.","journal-title":"J Magn Reson Imaging."},{"issue":"6","key":"5358_CR16","doi-asserted-by":"publisher","first-page":"3874","DOI":"10.1007\/s00330-020-07473-6","volume":"31","author":"A Delli Pizzi","year":"2021","unstructured":"Delli Pizzi, A., D. Mastrodicasa, M. Marchioni, et al. (2021). Bladder cancer: Do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach. Eur Radio. 31(6):3874\u20133883. https:\/\/doi.org\/10.1007\/s00330-020-07473-6.","journal-title":"Eur Radio."},{"issue":"1","key":"5358_CR17","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1186\/s12880-025-01595-3","volume":"25","author":"P Liu","year":"2025","unstructured":"Liu, P., L. Cai, L. Jiang, et al. (2025). Comparative diagnostic performance of VI-RADS based on biparametric and multiparametric MRI in predicting muscle invasion in bladder cancer. BMC Med Imaging. 25(1):60. https:\/\/doi.org\/10.1186\/s12880-025-01595-3.","journal-title":"BMC Med Imaging."},{"issue":"2","key":"5358_CR18","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1016\/j.acra.2024.09.056","volume":"32","author":"X Zhang","year":"2025","unstructured":"Zhang, X., Y. Yun, S. Wang, et al. (2025). The value of multi-directional high b-value DWI in the assessment of muscular invasion in bladder urothelial carcinoma: In comparison with VI-RADS. Acad Radiol. 32(2):844\u2013854. https:\/\/doi.org\/10.1016\/j.acra.2024.09.056.","journal-title":"Acad Radiol"},{"issue":"11","key":"5358_CR19","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1016\/j.crad.2014.07.013","volume":"69","author":"X Wang","year":"2014","unstructured":"Wang, X., Y. Qian, B. Liu, et al. (2014). High-b-value diffusion-weighted MRI for the detection of prostate cancer at 3 T. Clin Radiol. 69(11):1165\u20131170. https:\/\/doi.org\/10.1016\/j.crad.2014.07.013.","journal-title":"Clin Radiol"},{"issue":"2","key":"5358_CR20","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1007\/s00330-021-08203-2","volume":"32","author":"C Feng","year":"2022","unstructured":"Feng, C., Y. Wang, G. Dan, et al. (2022). Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma. Eur Radio. 32(2):890\u2013900. https:\/\/doi.org\/10.1007\/s00330-021-08203-2.","journal-title":"Eur Radio."},{"issue":"3","key":"5358_CR21","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ucl.2018.03.003","volume":"45","author":"MH Maurer","year":"2018","unstructured":"Maurer, M.H., K.H. H\u00e4rm\u00e4, H. Thoeny. (2018). Diffusion-weighted genitourinary imaging. Urol Clin North Am. 45(3):407\u2013425. https:\/\/doi.org\/10.1016\/j.ucl.2018.03.003.","journal-title":"Urol Clin North Am"},{"issue":"1","key":"5358_CR22","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1002\/jmri.28766","volume":"59","author":"Y Xia","year":"2024","unstructured":"Xia, Y., L. Zhu, G. Cai, et al. (2024). Computed diffusion-weighted images of rectal cancer: Image quality, restaging, and treatment response after neoadjuvant therapy. J Magn Reson Imaging. 59(1):297\u2013308. https:\/\/doi.org\/10.1002\/jmri.28766.","journal-title":"J Magn Reson Imaging."},{"issue":"2","key":"5358_CR23","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1148\/radiol.11101919","volume":"261","author":"MD Blackledge","year":"2011","unstructured":"Blackledge, M.D., M.O. Leach, D.J. Collins, D.-M. Koh. (2011). Computed diffusion-weighted MR imaging may improve tumor detection. Radiology. 261(2):573\u2013581. https:\/\/doi.org\/10.1148\/radiol.11101919.","journal-title":"Radiology."},{"issue":"4","key":"5358_CR24","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1002\/jmri.25044","volume":"43","author":"S Gatidis","year":"2016","unstructured":"Gatidis, S., H. Schmidt, P. Martirosian, K. Nikolaou, N.F. Schwenzer. (2016). Apparent diffusion coefficient-dependent voxelwise computed diffusion-weighted imaging: An approach for improving SNR and reducing T2 shine-through effects: contrast optimization in DWI. J Magn Reson Imaging. 43(4):824\u2013832. https:\/\/doi.org\/10.1002\/jmri.25044.","journal-title":"J Magn Reson Imaging."},{"key":"5358_CR25","doi-asserted-by":"publisher","unstructured":"Maas, M.C., J.J. F\u00fctterer, T.W.J. Scheenen. (2013). Quantitative evaluation of computed high b value diffusion-weighted magnetic resonance imaging of the prostate: Invest Radiol. 48(11):779\u2013786. https:\/\/doi.org\/10.1097\/RLI.0b013e31829705bb.","DOI":"10.1097\/RLI.0b013e31829705bb"},{"issue":"3","key":"5358_CR26","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1097\/rct.0000000000000702","volume":"42","author":"M Akagi","year":"2018","unstructured":"Akagi, M., Y. Nakamura, T. Higaki, et al. (2018). Preliminary results of high-precision computed diffusion weighted imaging for the diagnosis of hepatocellular carcinoma at 3 tesla. J Comput Assisted Tomogr. Ovid Technologies (Wolters Kluwer Health). 42(3):373\u2013379. https:\/\/doi.org\/10.1097\/rct.0000000000000702.","journal-title":"J Comput Assisted Tomogr. Ovid Technologies (Wolters Kluwer Health)."},{"issue":"2","key":"5358_CR27","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/s00261-020-02695-0","volume":"46","author":"S Ichikawa","year":"2021","unstructured":"Ichikawa, S., M.-L. Kromrey, U. Motosugi, H. Onishi. (2021). Optimal target b-value on computed diffusion-weighted magnetic resonance imaging for visualization of pancreatic ductal adenocarcinoma and focal autoimmune pancreatitis. Abdom Radiol. Springer Science and Business Media LLC. 46(2):636\u2013646. https:\/\/doi.org\/10.1007\/s00261-020-02695-0.","journal-title":"Abdom Radiol. Springer Science and Business Media LLC."},{"issue":"10","key":"5358_CR28","doi-asserted-by":"publisher","first-page":"6892","DOI":"10.1007\/s00330-023-09661-6","volume":"33","author":"FN Harder","year":"2023","unstructured":"Harder, F.N., E. Jung, K. Weiss, et al. (2023). Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas. Eur Radio. 33(10):6892\u20136901. https:\/\/doi.org\/10.1007\/s00330-023-09661-6.","journal-title":"Eur Radio."},{"issue":"5","key":"5358_CR29","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.3348\/jksr.2022.0004","volume":"83","author":"YJ Kim","year":"2022","unstructured":"Kim, Y.J., S.H. Kim, T.W. Baek, et al. (2022). Comparison of computed diffusion-weighted imaging b2000 and acquired diffusion-weighted imaging b2000 for detection of prostate cancer. J Korean Soc Radiol. 83(5):1059. https:\/\/doi.org\/10.3348\/jksr.2022.0004.","journal-title":"J Korean Soc Radiol"},{"issue":"7","key":"5358_CR30","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.3390\/jcm11071921","volume":"11","author":"T De Perrot","year":"2022","unstructured":"De Perrot, T., C. Sadjo Zoua, C.G. Glessgen, et al. (2022). Diffusion-weighted MRI in the genitourinary system. J Clin Med. 11(7):1921. https:\/\/doi.org\/10.3390\/jcm11071921.","journal-title":"J Clin Med."},{"issue":"2","key":"5358_CR31","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1007\/s00261-021-03383-3","volume":"47","author":"S Aslan","year":"2022","unstructured":"Aslan, S., I.M. Cakir, U. Oguz, T. Bekci, E. Demirelli. (2022). Comparison of the diagnostic accuracy and validity of biparametric MRI and multiparametric MRI-based VI-RADS scoring in bladder cancer; is contrast material really necessary in detecting muscle invasion? Abdom Radiol. 47(2):771\u2013780. https:\/\/doi.org\/10.1007\/s00261-021-03383-3.","journal-title":"Abdom Radiol."},{"issue":"10","key":"5358_CR32","doi-asserted-by":"publisher","first-page":"3174","DOI":"10.1007\/s00261-023-03979-x","volume":"48","author":"U Eryuruk","year":"2023","unstructured":"Eryuruk, U., M.N. Tasdemir, S. Aslan. (2023). Comparison of the diagnostic performance of biparametric and multiparametric MRI in detecting muscle invasion of bladder cancer located at the ureteral orifice. Abdom Radiol. 48(10):3174\u20133182. https:\/\/doi.org\/10.1007\/s00261-023-03979-x.","journal-title":"Abdom Radiol."},{"issue":"2","key":"5358_CR33","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1038\/pcan.2015.5","volume":"18","author":"S Feuerlein","year":"2015","unstructured":"Feuerlein, S., M.S. Davenport, A. Krishnaraj, E.M. Merkle, R.T. Gupta. (2015). Computed high b-value diffusion-weighted imaging improves lesion contrast and conspicuity in prostate cancer. Prostate Cancer Prostatic Dis. 18(2):155\u2013160. https:\/\/doi.org\/10.1038\/pcan.2015.5.","journal-title":"Prostate Cancer Prostatic Dis."},{"issue":"11","key":"5358_CR34","doi-asserted-by":"publisher","first-page":"3595","DOI":"10.1007\/s00261-019-02177-y","volume":"44","author":"A Delli Pizzi","year":"2019","unstructured":"Delli Pizzi, A., D. Caposiena, D. Mastrodicasa, et al. (2019). Tumor detectability and conspicuity comparison of standard b1000 and ultrahigh b2000 diffusion-weighted imaging in rectal cancer. Abdom Radiol. 44(11):3595\u20133605. https:\/\/doi.org\/10.1007\/s00261-019-02177-y.","journal-title":"Abdom Radiol."},{"key":"5358_CR35","doi-asserted-by":"publisher","first-page":"109581","DOI":"10.1016\/j.ejrad.2021.109581","volume":"137","author":"Y Arita","year":"2021","unstructured":"Arita, Y., S. Yoshida, Y. Waseda, et al. (2021). Diagnostic value of computed high b-value whole-body diffusion-weighted imaging for primary prostate cancer. Eur J Radiol. 137:109581. https:\/\/doi.org\/10.1016\/j.ejrad.2021.109581.","journal-title":"Eur J Radiol"},{"issue":"1","key":"5358_CR36","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s00330-024-10958-3","volume":"35","author":"Y Hao","year":"2024","unstructured":"Hao, Y., J. Zheng, W. Li, et al. (2024). Ultra-high b-value DWI in rectal cancer: Image quality assessment and regional lymph node prediction based on radiomics. Eur Radio. 35(1):49\u201360. https:\/\/doi.org\/10.1007\/s00330-024-10958-3.","journal-title":"Eur Radio."},{"issue":"3","key":"5358_CR37","doi-asserted-by":"publisher","first-page":"470","DOI":"10.3390\/cancers14030470","volume":"14","author":"FN Harder","year":"2022","unstructured":"Harder, F.N., E. Jung, S. McTavish, et al. (2022). High-resolution, high b-value computed diffusion-weighted imaging improves detection of pancreatic ductal adenocarcinoma. Cancers. 14(3):470. https:\/\/doi.org\/10.3390\/cancers14030470.","journal-title":"Cancers."},{"issue":"1048","key":"5358_CR38","doi-asserted-by":"publisher","first-page":"20140738","DOI":"10.1259\/bjr.20140738","volume":"88","author":"Y Ueno","year":"2015","unstructured":"Ueno, Y., S. Takahashi, Y. Ohno, et al. (2015). Computed diffusion-weighted MRI for prostate cancer detection: the influence of the combinations of b -values. Br J Radiol. 88(1048):20140738. https:\/\/doi.org\/10.1259\/bjr.20140738.","journal-title":"Br J Radiol"},{"key":"5358_CR39","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.ejro.2018.07.004","volume":"5","author":"F Seith","year":"2018","unstructured":"Seith, F., P. Martirosian, K. Nikolaou, C. La Foug\u00e8re, N. Schwenzer, H. Schmidt. (2018). Computed diffusion weighted imaging (cDWI) and voxelwise-computed diffusion weighted imaging (vcDWI) for oncologic liver imaging: a pilot study. Eur J Radiol Open. 5:108\u2013113. https:\/\/doi.org\/10.1016\/j.ejro.2018.07.004.","journal-title":"Eur J Radiol Open."},{"issue":"2","key":"5358_CR40","doi-asserted-by":"publisher","first-page":"119","DOI":"10.2463\/mrms.mp.2018-0011","volume":"18","author":"T Tamura","year":"2019","unstructured":"Tamura, T., M. Takasu, T. Higaki, et al. (2019). How to improve the conspicuity of breast tumors on computed high b-value diffusion-weighted imaging. MRMS. Japanese Society for Magnetic Resonance in Medicine. 18(2):119\u2013125. https:\/\/doi.org\/10.2463\/mrms.mp.2018-0011.","journal-title":"MRMS. Japanese Society for Magnetic Resonance in Medicine."},{"issue":"2","key":"5358_CR41","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.acra.2018.04.016","volume":"26","author":"Y Wang","year":"2019","unstructured":"Wang, Y., D. Hu, H. Yu, et al. (2019). Comparison of the diagnostic value of monoexponential, biexponential, and stretched exponential diffusion-weighted MRI in differentiating tumor stage and histological grade of bladder cancer. Acad Radiol. 26(2):239\u2013246. https:\/\/doi.org\/10.1016\/j.acra.2018.04.016.","journal-title":"Acad Radiol."},{"key":"5358_CR42","doi-asserted-by":"publisher","first-page":"109522","DOI":"10.1016\/j.ejrad.2021.109522","volume":"136","author":"Q Li","year":"2021","unstructured":"Li, Q., B. Cao, Q. Tan, K. Liu, S. Jiang, J. Zhou. (2021). Prediction of muscle invasion of bladder cancer: a comparison between DKI and conventional DWI. Eur J Radiol. 136:109522. https:\/\/doi.org\/10.1016\/j.ejrad.2021.109522.","journal-title":"Eur J Radiol"},{"issue":"4","key":"5358_CR43","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/s10334-021-00957-6","volume":"35","author":"T Tamada","year":"2021","unstructured":"Tamada, T., Y. Ueda, Y. Ueno, Y. Kojima, A. Kido, A. Yamamoto. (2021). Diffusion-weighted imaging in prostate cancer. Magn Reson Mater Phys, Biol Med. 35(4):533\u2013547. https:\/\/doi.org\/10.1007\/s10334-021-00957-6.","journal-title":"Magn Reson Mater Phys, Biol Med"},{"issue":"4","key":"5358_CR44","doi-asserted-by":"publisher","first-page":"237","DOI":"10.3233\/BLC-170110","volume":"3","author":"HT Nguyen","year":"2017","unstructured":"Nguyen, H.T., A. Mortazavi, K.S. Pohar, et al. (2017). Quantitative assessment of heterogeneity in bladder tumor MRI diffusivity: Can response be predicted prior to neoadjuvant chemotherapy? Bladder Cancer. 3(4):237\u2013244. https:\/\/doi.org\/10.3233\/BLC-170110.","journal-title":"Bladder Cancer"},{"issue":"8","key":"5358_CR45","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1007\/s11547-022-01513-5","volume":"127","author":"M Bicchetti","year":"2022","unstructured":"Bicchetti, M., G. Simone, G. Giannarini, et al. (2022). A novel pathway to detect muscle-invasive bladder cancer based on integrated clinical features and VI-RADS score on MRI: Results of a prospective multicenter study. Radiol Med. 127(8):881\u2013890. https:\/\/doi.org\/10.1007\/s11547-022-01513-5.","journal-title":"Radiol Med."},{"issue":"13","key":"5358_CR46","doi-asserted-by":"publisher","first-page":"3181","DOI":"10.3390\/cancers14133181","volume":"14","author":"X Hu","year":"2022","unstructured":"Hu, X., G. Li, S. Wu. (2022). Advances in diagnosis and therapy for bladder cancer. Cancers. 14(13):3181. https:\/\/doi.org\/10.3390\/cancers14133181.","journal-title":"Cancers."}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-05358-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-025-05358-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-05358-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:45:57Z","timestamp":1784609157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-025-05358-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,27]]},"references-count":46,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["5358"],"URL":"https:\/\/doi.org\/10.1007\/s00261-025-05358-0","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,27]]},"assertion":[{"value":"17 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}