An unusual case of eccrine porocarcinoma on the axilla with nodal involvement: A case report.

Ecrrine porocarcinoma, a rare aggressive skin tumor, develops from sweat glands located in lower limbs, followed by the head and neck, trunk, and upper limbs. The incidence represents only about 0.005% of all cutaneous malignant tumors. The most common site is the lower extremities in elderly patients. As it has a high chance of metastases and recurrence after surgery, mainstay of treatment modality is wide local excision or Mohs (micrographically oriented histographic surgery) micrographic surgery. Mohs micrographic surgery (MMS) is a more effective treatment modality for tumors located in cosmetically and functionally important areas of the head and neck. We present a 56-years-old male patient with a large fungating eccrine tumor on the left axilla with ipsilateral nodal involvement on histomorphological grounds supported with immunohistochemical studies.

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.

The purpose of this manuscript is to provide an overview of the technical specifications and architecture of the Cancer imaging Phenomics Toolkit (CaPTk www.cbica.upenn.edu/captk), a cross-platform, open-source, easy-to-use, and extensible software platform for analyzing 2D and 3D images, currently focusing on radiographic scans of brain, breast, and lung cancer. The primary aim of this platform is to enable swift and efficient translation of cutting-edge academic research into clinically useful tools relating to clinical quantification, analysis, predictive modeling, decision-making, and reporting workflow. CaPTk builds upon established open-source software toolkits, such as the Insight Toolkit (ITK) and OpenCV, to bring together advanced computational functionality. This functionality describes specialized, as well as general-purpose, image analysis algorithms developed during active multi-disciplinary collaborative research studies to address real clinical requirements. The target audience of CaPTk consists of both computational scientists and clinical experts. For the former it provides i) an efficient image viewer offering the ability of integrating new algorithms, and ii) a library of readily-available clinically-relevant algorithms, allowing batch-processing of multiple subjects. For the latter it facilitates the use of complex algorithms for clinically-relevant studies through a user-friendly interface, eliminating the prerequisite of a substantial computational background. CaPTk's long-term goal is to provide widely-used technology to make use of advanced quantitative imaging analytics in cancer prediction, diagnosis and prognosis, leading toward a better understanding of the biological mechanisms of cancer development.