Extramural venous invasion: a novel magnetic resonance imaging biomarker for adverse pathology in bladder cancer. Article Swipe
Soroush Bazargani
,
Chandana Lall
,
Dheeraj Reddy Gopireddy
,
Shiguang Liu
,
Ashley Way
,
Mohammed Al-Toubat
,
Ahmed Elshafei
,
Allison H. Feibus
,
Seyed Behzad Jazayeri
,
Uazman Alam
,
Victor Chalfant
,
Jatinder Kumar
,
Robert A. Marino
,
Joseph Costa
,
Hariharan Palayapalayam Ganapathi
,
Shahriar Koochekpour
,
Shiva Gautam
,
K.C. Balaji
,
Mark Bandyk
·
YOU?
·
· 2023
· Open Access
·
YOU?
·
· 2023
· Open Access
·
Extramural venous invasion (EMVI) recognized on magnetic resonance imaging (MRI) is an unequivocal biomarker for detecting adverse outcomes in rectal cancer: however it has not yet been explored in the area of bladder cancer. In this study, we assessed the feasibility of identifying EMVI findings on MRI in patients with bladder cancer and its avail in identifying adverse pathology. In this single-institution retrospective study, the MRI findings inclusive of EMVI was described in patients with bladder cancer that had available imaging between January 2018 and June 2020. Patient demographic and clinical information were retrieved from our electronic medical records system. Histopathologic features frequently associated with poor outcomes including lymphovascular invasion (LVI), variant histology, muscle invasive bladder cancer (MIBC), and extravesical disease (EV) were compared to MRI-EMVI. A total of 38 patients were enrolled in the study, with a median age of 73 years (range 50-101), 76% were male and 23% were females. EMVI was identified in 23 (62%) patients. There was a significant association between EMVI and MIBC (OR = 5.30, CI = 1.11-25.36; P = 0.036), and extravesical disease (OR = 17.77, CI = 2.37-133; P = 0.005). We found a higher probability of presence of LVI and histologic variant in patients with EMVI. EMVI had a sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of 90%, 73%, 94% and 63% respectively in detecting extravesical disease. Our study suggests, EMVI may be a useful biomarker in bladder cancer imaging, is associated with adverse pathology, and could be potentially integrated in the standard of care with regards to MRI reporting systems. A larger study sample size is further warranted to assess feasibility and applicability.
Related Topics
Concepts
Medicine
Lymphovascular invasion
Magnetic resonance imaging
Bladder cancer
Biomarker
Pathology
Radiology
Cancer
Internal medicine
Metastasis
Biology
Biochemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/37168940
- OA Status
- green
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4376224607
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4376224607Canonical identifier for this work in OpenAlex
- Title
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Extramural venous invasion: a novel magnetic resonance imaging biomarker for adverse pathology in bladder cancer.Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
Soroush Bazargani, Chandana Lall, Dheeraj Reddy Gopireddy, Shiguang Liu, Ashley Way, Mohammed Al-Toubat, Ahmed Elshafei, Allison H. Feibus, Seyed Behzad Jazayeri, Uazman Alam, Victor Chalfant, Jatinder Kumar, Robert A. Marino, Joseph Costa, Hariharan Palayapalayam Ganapathi, Shahriar Koochekpour, Shiva Gautam, K.C. Balaji, Mark BandykList of authors in order
- Landing page
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https://pubmed.ncbi.nlm.nih.gov/37168940Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10165227/pdf/ajceu0011-0185.pdfDirect OA link when available
- Concepts
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Medicine, Lymphovascular invasion, Magnetic resonance imaging, Bladder cancer, Biomarker, Pathology, Radiology, Cancer, Internal medicine, Metastasis, Biology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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