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Practical Guide to VI-RADS: MRI Protocols, Lesion Characterization, and Pitfalls.
Fávero Prietto Dos Santos, Jônatas; Ghezzi, Caroline Lorenzoni Almeida; Pedrollo, Ivan Morzoletto; Cruz, Ítalo Ribeiro; Orozco, Oscar Fernando Ghattas; Zapparoli, Maurício; Schuch, Alice; Muglia, Valdair Francisco.
Afiliação
  • Fávero Prietto Dos Santos J; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Ghezzi CLA; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Pedrollo IM; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Cruz ÍR; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Orozco OFG; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Zapparoli M; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Schuch A; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
  • Muglia VF; From the Department of Radiology, Division of Body Imaging, Hospital Moinhos de Vento, 910 Ramiro Barcelos St, Porto Alegre, RS 90035-000, Brazil, and Program in Pneumology Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil (J.F.P.d.S.); Department of Radiology, Division of Ab
Radiographics ; 44(3): e230149, 2024 03.
Article em En | MEDLINE | ID: mdl-38421912
ABSTRACT
Urothelial carcinoma is the most common type of bladder cancer (BC), accounting for approximately 90% of all cases. Evaluating the depth of tumor invasion in the bladder wall (tumor staging) is essential for determining the treatment and prognosis in patients with BC. Neoadjuvant therapy followed by radical cystectomy is the most common treatment of localized muscle-invasive BC (MIBC). Therefore, it is vital to differentiate non-MIBC from MIBC. Transurethral resection of bladder tumor (TURBT) is the reference standard to determine the extent of tumor invasion into the bladder wall through tissue sampling. However, this diagnostic and therapeutic method may not adequately sample the muscularis propria, leading to a higher risk of residual disease, early recurrence, and tumor understaging in approximately 50% of patients during the initial TURBT. Multiparametric MRI can overcome some of the limitations of TURBT when evaluating BC, particularly regarding tumor staging. In this context, the Vesical Imaging Reporting and Data System (VI-RADS) classification was developed to establish standards for bladder multiparametric MRI and interpretation. It uses a 5-point scale to assess the likelihood of detrusor muscle invasion. T2-weighted MR images are particularly useful as an initial guide, especially for categories 1-3, while the presence of muscular invasion is determined with diffusion-weighted and dynamic contrast-enhanced sequences. Diffusion-weighted imaging takes precedence as the dominant method when optimal image quality is achieved. The presence of a stalk or a thickened inner layer and no evidence of interruption of the signal intensity of the muscular layer are central for predicting a low likelihood of muscle invasion. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Hoegger in this issue.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição Limite: Humans Idioma: En Revista: Radiographics Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Bexiga Urinária / Carcinoma de Células de Transição Limite: Humans Idioma: En Revista: Radiographics Ano de publicação: 2024 Tipo de documento: Article