MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach
Between 1983 and 2002, the incidence of solid renal tumors increased from 7.1 to 10.8 cases per 100,000. This is in large part due to the increase in the volume of ultrasound and cross-sectional imaging, although a majority of solid renal tumors are still found incidentally. Ultrasound and computed...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/15/10/2799 |
| _version_ | 1797600748129746944 |
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| author | Stephane Chartier Hina Arif-Tiwari |
| author_facet | Stephane Chartier Hina Arif-Tiwari |
| author_sort | Stephane Chartier |
| collection | DOAJ |
| description | Between 1983 and 2002, the incidence of solid renal tumors increased from 7.1 to 10.8 cases per 100,000. This is in large part due to the increase in the volume of ultrasound and cross-sectional imaging, although a majority of solid renal tumors are still found incidentally. Ultrasound and computed tomography (CT) have been the mainstay of renal mass screening and diagnosis but recent advances in magnetic resonance (MR) technology have made this the optimal choice when diagnosing and staging renal tumors. Our purpose in writing this review is to survey the modern MR imaging approach to benign and malignant solid renal tumors, consolidate the various imaging findings into an easy-to-read reference, and provide an imaging-based, algorithmic approach to renal mass characterization for clinicians. MR is at the forefront of renal mass characterization, surpassing ultrasound and CT in its ability to describe multiple tissue parameters and predict tumor biology. Cutting-edge MR protocols and the integration of diagnostic algorithms can improve patient outcomes, allowing the imager to narrow the differential and better guide oncologic and surgical management. |
| first_indexed | 2024-03-11T03:52:17Z |
| format | Article |
| id | doaj.art-fb50850837a84471b327060034c4b424 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-11T03:52:17Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-fb50850837a84471b327060034c4b4242023-11-18T00:49:09ZengMDPI AGCancers2072-66942023-05-011510279910.3390/cancers15102799MR Virtual Biopsy of Solid Renal Masses: An Algorithmic ApproachStephane Chartier0Hina Arif-Tiwari1Department of Medical Imaging, College of Medicine, The University of Arizona, Tucson, AZ 85724, USADepartment of Medical Imaging, College of Medicine, The University of Arizona, Tucson, AZ 85724, USABetween 1983 and 2002, the incidence of solid renal tumors increased from 7.1 to 10.8 cases per 100,000. This is in large part due to the increase in the volume of ultrasound and cross-sectional imaging, although a majority of solid renal tumors are still found incidentally. Ultrasound and computed tomography (CT) have been the mainstay of renal mass screening and diagnosis but recent advances in magnetic resonance (MR) technology have made this the optimal choice when diagnosing and staging renal tumors. Our purpose in writing this review is to survey the modern MR imaging approach to benign and malignant solid renal tumors, consolidate the various imaging findings into an easy-to-read reference, and provide an imaging-based, algorithmic approach to renal mass characterization for clinicians. MR is at the forefront of renal mass characterization, surpassing ultrasound and CT in its ability to describe multiple tissue parameters and predict tumor biology. Cutting-edge MR protocols and the integration of diagnostic algorithms can improve patient outcomes, allowing the imager to narrow the differential and better guide oncologic and surgical management.https://www.mdpi.com/2072-6694/15/10/2799MRIimage-guided biopsysolid renal massoncocytomaangiomyolipomarenal cell carcinoma |
| spellingShingle | Stephane Chartier Hina Arif-Tiwari MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach Cancers MRI image-guided biopsy solid renal mass oncocytoma angiomyolipoma renal cell carcinoma |
| title | MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach |
| title_full | MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach |
| title_fullStr | MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach |
| title_full_unstemmed | MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach |
| title_short | MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach |
| title_sort | mr virtual biopsy of solid renal masses an algorithmic approach |
| topic | MRI image-guided biopsy solid renal mass oncocytoma angiomyolipoma renal cell carcinoma |
| url | https://www.mdpi.com/2072-6694/15/10/2799 |
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