Abstract
Background: Klippel-Trénaunay-Syndrome (KTS) is characterized by a triad of varicose veins, port-wine stain and soft tissue or bony hypertrophy, and the diagnosis of KTS can be made if any two of these three features are present. Hemangiomas in various locations, e.g., skull, brain, epidural and vertebral hemangioma, mediastinal, colonic hemangioma, intraneural/intramuscular hemangiomas, are reported with KTS.
Case Presentation: Benign vascular tumors may rarely develop malignant transformation as Bugarin- Estrada et al. reported breast angiosarcoma in a patient diagnosed as Klippel-Trenaunay-Syndrome. We reported a case of a 40-year-old female with a known case of Klipple-Trenaunay-Syndrome with left leg varicosities, cutaneous nevus, as well as unfortunate development of deep venous thrombosis and markedly enlarged right breast hemangioma. Due to low incidence or lack of early detection of breast hemangioma, its diagnosis is challenging.
Conclusion: The history of the patient and multi-modality imaging utilization can help in early and accurate diagnosis of diseases leading to better prognosis.
Keywords: Klippel-trenaunay-syndrome, deep venous thrombosis, breast hemangioma, mammogram, sonomammogram, magnetic resonance imaging.
[http://dx.doi.org/10.1186/s13256-017-1413-1] [PMID: 28823249]
[http://dx.doi.org/10.1007/BF02384987] [PMID: 9306589]
[http://dx.doi.org/10.4103/0975-2870.186069]
[http://dx.doi.org/10.1111/exd.12826] [PMID: 26268729]
[http://dx.doi.org/10.5999/aps.2015.42.5.552] [PMID: 26430625]
[http://dx.doi.org/10.4076/1757-1626-2-8852] [PMID: 19918405]
[http://dx.doi.org/10.1148/rg.256055042]
[http://dx.doi.org/10.18203/2349-3291.ijcp20164624]
[http://dx.doi.org/10.5603/AA.2019.0009]
[http://dx.doi.org/10.7759/cureus.8023] [PMID: 32528762]
[http://dx.doi.org/10.1007/s00701-016-3012-0] [PMID: 27822901]
[http://dx.doi.org/10.3171/jns.1978.48.5.081]
[http://dx.doi.org/10.24875/CIRU.18000306]
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
23
1