Combined T2 SPAIR, Dynamic Enhancement and DW Imaging Reliably Detect T Staging and Grading of Bladder Cancer With 3.0T MRI

Yuan, Lihua; Li, Danyan; Mu, Dan; Zhang, Xuebin; Kong, Weidong; Cheng, Lei; Shu, Xiaoyan; Zhang, Bing; Wang, Zhishun

doi:10.3389/fonc.2020.582532

Cited by 9 publications

(20 citation statements)

References 29 publications

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“…The phase of enhancement of the submucosal tissue is usually earlier than that of the cancer component in Ta cancer; however, the cancer component usually enhances as strongly as the submucosal tissue in T1 cancer on DCE imaging. 33 Additionally, difference in the Ta to T1 tumors can also be related to the size of the tumor in contact with the bladder wall. 33 T2WI has limited application in post-therapy evaluation of BCa due to presence of inflammation and fibrosis.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

“…33 Additionally, difference in the Ta to T1 tumors can also be related to the size of the tumor in contact with the bladder wall. 33 T2WI has limited application in post-therapy evaluation of BCa due to presence of inflammation and fibrosis. DWI has higher specificity and sensitivity compared with T2WI and DCE for accurately predicting histopathological response.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

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Imaging Recommendations for Diagnosis, Staging, and Management of Bladder and Urethral Malignancies

Majithia

Prakash

Thakur

et al. 2023

Indian J Med Paediatr Oncol

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Bladder cancer (BCa) is a leading cause of cancer worldwide with high incidence and mortality across all ages. Early diagnosis and treatment can lead to significantly improved survival rate and overall prognosis. Smoking is the biggest contributing factor for the development of BCa. Urothelial carcinoma is the most common histological subtype. Commonly implemented imaging techniques include computed tomography urography (CTU) and multiparametric magnetic resonance imaging (mpMRI). CTU is the investigation of choice for muscle invasive bladder cancer (MIBC) and is best utilized for local assessment and staging of larger and higher staged tumors, that is, T3b and T4. mpMRI encompasses T2-weighted imaging, diffusion-weighted imaging, and dynamic contrast-enhanced imaging. It can differentiate ≤T1 and ≥T2 tumors based on the Vesicle Imaging-Reporting and Data System (VI-RADS) assessment as well as differentiate Ta from T1 tumors, and is useful in post-therapy response assessment of BCa. Positron emission tomography/computed tomography is used in selected patients of MIBC for metastatic evaluation, particularly those with deranged renal function. A synoptic reporting template should be used to have standardization of data. Primary urethral cancer (UCa) is a rare and aggressive malignancy, accounting for less than 1% of all malignancies. MRI is the investigation of choice for UCa.

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Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Imaging Recommendations for Diagnosis, Staging, and Management of Bladder and Urethral Malignancies

Majithia

Prakash

Thakur

et al. 2023

Indian J Med Paediatr Oncol

View full text Add to dashboard Cite

show abstract

“…MRI may be insufficient to detect microscopic extravesical spread, but its sensitivity in the staging of bladder cancers exists between 75-92% [10]. Average rate of accurate staging was 92%, and the rate of distinguishing patients with and without muscle invasion was found to be 85-95% by multiparametric use of T2 Weighted imaging(T2W)-Diffusion-weighted imaging (DWI) and Dynamic MRI [11][12][13]. According to these results, CT and MRI are more valuable, especially in identifying the patients over T2b stage [2,5,11].…”

Section: M Distant Metastasismentioning

confidence: 99%

Current CT and MRI Applications in the Diagnosis of Bladder Cancer: A Review

Aydın¹,

Bilgin²,

Özdemir³

et al. 2023

COR

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Most common urinary system cancer is the Bladder cancer(BC), more common in men (M/F: 3), is associated with both genetic and environmental factors.,two most well-known environmental factors are smoking and occupational exposures.Smoking is associated with 25-65% of BC cases, %50 average. Urothelial cancers are common in occupations that use paint, textiles, rubber and petroleum products. Among the chemical substances; O-toluidine, 2-naphthylamine, benzidine, 4-amino-biphenyl and nitrosamines are particularly related with the BC. Our objective in this systematic review is to indicate the value and aid of CT and MRI in the diagnosis of bladder cancer.

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“…Radiomics leverages medical imaging to analyze the relationship between phenotypic image features (radiomics biomarkers) and tumor diagnosis, thereby refining patient risk stratification and treatment decisions. Among the array of imaging modalities, MRI shines with its ability to offer multi-sequence imaging, high-resolution soft tissue visualization, and multi-level structural and functional information [17][18][19]. When combined with the Vesical Imaging Reporting and Data System (VI-RADS), MRI facilitates a comprehensive assessment of image classification and muscular infiltration [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics

Yang,

Bai,

Hao

et al. 2024

Insights Imaging

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Objective We aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in bladder cancer (BCa) patients and assess its superiority over clinical models. Methods A retrospective cohort of 229 BCa patients with preoperative multi-sequence MRI was divided into a training set (n = 160) and a validation set (n = 69). Radiomics features were extracted from T2-weighted images, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced images. Effective features were identified using the least absolute shrinkage and selection operator (LASSO) method. Clinical risk factors were determined via univariate and multivariate Cox analysis, leading to the creation of a radiomics-clinical nomogram. Kaplan-Meier analysis and log-rank tests assessed the relationship between radiomics features and RFS. We calculated the net reclassification improvement (NRI) to evaluate the added value of the radiomics signature and used decision curve analysis (DCA) to assess the nomogram’s clinical validity. Results Radiomics features significantly correlated with RFS (log-rank p < 0.001) and were independent of clinical factors (p < 0.001). The combined model, incorporating radiomics features and clinical data, demonstrated the best prognostic value, with C-index values of 0.853 in the training set and 0.832 in the validation set. Compared to the clinical model, the radiomics-clinical nomogram exhibited superior calibration and classification (NRI: 0.6768, 95% CI: 0.5549-0.7987, p < 0.001). Conclusion The radiomics-clinical nomogram, based on multi-sequence MRI, effectively assesses the BCa recurrence risk. It outperforms both the radiomics model and the clinical model in predicting BCa recurrence risk. Critical relevance statement The radiomics-clinical nomogram, utilizing multi-sequence MRI, holds promise for predicting bladder cancer recurrence, enhancing individualized clinical treatment, and performing tumor surveillance. Key points • Radiomics plays a vital role in predicting bladder cancer recurrence. • Precise prediction of tumor recurrence risk is crucial for clinical management. • MRI-based radiomics models excel in predicting bladder cancer recurrence. Graphical Abstract

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Combined T2 SPAIR, Dynamic Enhancement and DW Imaging Reliably Detect T Staging and Grading of Bladder Cancer With 3.0T MRI

Cited by 9 publications

References 29 publications

Imaging Recommendations for Diagnosis, Staging, and Management of Bladder and Urethral Malignancies

Imaging Recommendations for Diagnosis, Staging, and Management of Bladder and Urethral Malignancies

Current CT and MRI Applications in the Diagnosis of Bladder Cancer: A Review

Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics

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