Multiparametric MRI Radiomics for the Prediction of Histologic Grade in Bladder Cancer

Siegel RL, Miller KD, Wagle NS, Jemal A (2023) Cancer statistics, 2023. CA Cancer J Clin 73:17–48

PubMed  Google Scholar 

Aldousari S, Kassouf W (2010) Update on the management of non-muscle invasive bladder cancer. Can Urol Assoc J 4:56–64

PubMed  PubMed Central  Google Scholar 

Babjuk M, Burger M, Comperat EM et al (2019) European association of urology guidelines on non-muscle-invasive bladder cancer (TaT1 and carcinoma in situ) - 2019 update. Eur Urol 76:639–657

CAS  PubMed  Google Scholar 

Flaig TW, Spiess PE, Abern M et al (2024) Bladder cancer, Version 3.2024: featured updates to the nccn guidelines. J Natl Compr Cancer Netw 22(4):216–25

Kim LHC, Patel MI (2020) Transurethral resection of bladder tumor (TURBT). Transl Androl Urol 9:3056–3072

PubMed  PubMed Central  Google Scholar 

Lai AL, Law YM (2023) VI-rads in bladder cancer: overview, pearls and pitfalls. Eur J Radiol 160:110666

PubMed  Google Scholar 

Verma S, Rajesh A, Prasad SR et al (2012) Urinary bladder cancer: role of MR imaging. Radiographics 32:371–387

PubMed  Google Scholar 

Panebianco V, Narumi Y, Altun E et al (2018) Multiparametric magnetic resonance imaging for bladder cancer: development of VI-RADS (vesical imaging-reporting and data system). Eur Urol 74:294–306

PubMed  PubMed Central  Google Scholar 

Pecoraro M, Takeuchi M, Vargas HA et al (2020) Overview of VI-RADS in bladder cancer. AJR Am J Roentgenol 214:1259–1268

PubMed  Google Scholar 

Wang H, Luo C, Zhang F et al (2019) Multiparametric MRI for bladder cancer: validation of VI-RADS for the detection of detrusor muscle invasion. Radiology 291:668–674

PubMed  Google Scholar 

Ueno Y, Tamada T, Takeuchi M et al (2021) VI-RADS: Multiinstitutional multireader diagnostic accuracy and interobserver agreement study. AJR Am J Roentgenol 216:1257–1266

PubMed  Google Scholar 

Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278:563–577

PubMed  Google Scholar 

Shur JD, Doran SJ, Kumar S et al (2021) Radiomics in oncology: a practical guide. Radiographics 41:1717–1732

PubMed  Google Scholar 

Dwivedi DK, Xi Y, Kapur P et al (2021) Magnetic resonance imaging radiomics analyses for prediction of high-grade histology and necrosis in clear cell renal cell carcinoma: preliminary experience. Clin Genitourin Cancer 19(12–21):e11

Google Scholar 

Zwanenburg A, Vallieres M, Abdalah MA et al (2020) The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology 295:328–338

PubMed  Google Scholar 

Li L, Zhang J, Zhe X et al (2023) An MRI-based radiomics nomogram in predicting histologic grade of non-muscle-invasive bladder cancer. Front Oncol 13:1025972

PubMed  PubMed Central  Google Scholar 

Tong Y, Udupa JK, Wang C et al (2018) Radiomics-guided therapy for bladder cancer: Using an optimal biomarker approach to determine extent of bladder cancer invasion from T2-weighted magnetic resonance images. Adv Radiat Oncol 3:331–338

PubMed  PubMed Central  Google Scholar 

Wu S, Zheng J, Li Y et al (2018) Development and validation of an MRI-based radiomics signature for the preoperative prediction of lymph node metastasis in bladder cancer. EBioMedicine 34:76–84

PubMed  PubMed Central  Google Scholar 

van Griethuysen JJM, Fedorov A, Parmar C et al (2017) Computational radiomics system to decode the radiographic phenotype. Cancer Res 77:e104–e107

PubMed  PubMed Central  Google Scholar 

Fedorov A, Beichel R, Kalpathy-Cramer J et al (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30:1323–1341

PubMed  PubMed Central  Google Scholar 

Zheng Z, Gu Z, Xu F et al (2021) Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer. Cancer Imaging 21:65

PubMed  PubMed Central  Google Scholar 

van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B (2020) Radiomics in medical imaging-“how-to” guide and critical reflection. Insights Imaging 11:91

PubMed  PubMed Central  Google Scholar 

Comments (0)

No login
gif