The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Renal angiomyolipoma: a radiological classification and update on recent developments in diagnosis and management
Open accessAbstract
Angiomyolipoma is the most common benign solid renal neoplasm observed in clinical practice. Once thought to be a hamartoma and almost always diagnosed by the imaged-based detection of fat, angiomyolipomas are now known to consist of a heterogeneous group of neoplasms. Although all are considered perivascular epithelioid cell tumors, many display different pathology, imaging features, and clinical behavior. The importance of understanding this group of neoplasms is emphasized by the fact that many types of angiomyolipoma contain little to no fat, and despite being benign, sometimes escape a pre-operative diagnosis. These types of angiomyolipomas can all be considered when encountering a renal mass that is both hyperattenuating relative to renal parenchyma on unenhanced CT and T2-hypointense, features that reflect their predominant smooth muscle component. We review recent developments and provide a radiological classification of angiomyolipomas that helps physicians understand the various types and learn how to both diagnose and manage them.
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Cites
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Metadata
- Authors
- Jinzaki, M., Silverman, S. G., Akita, H., Nagashima, Y., Mikami, S., & Oya, M.
- Venue
- Abdominal Imaging
- Published
- 2014-02-07
- Volume
- 39
- Issue
- 3
- Pages
- 588-604
- ISSN
- 0942-8925 (ISSN-L)
- 1432-0509
- OpenAlex
- W2086445289
- Cited by
- 332
- References
- 28
- FWCI
- 17.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Jinzaki, M., Silverman, S. G., Akita, H., Nagashima, Y., Mikami, S., & Oya, M. (2014). Renal angiomyolipoma: a radiological classification and update on recent developments in diagnosis and management. Abdominal Imaging. https://doi.org/10.1007/s00261-014-0083-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
