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Found 5 results

  1. Version 1.0.0

    1 download

    This model is the bilateral thigh skin rendering of a 56 year old male with a pleomorphic leiomyosarcoma of the anterior compartment of the right thigh. The patient underwent neoadjuvant radiotherapy, surgery, and adjuvant chemotherapy treatment and was found to have an intermediate grade lesion at the time of diagnosis. However, the tumor metastasized to his lungs, and the patient died 2.5 years after diagnosis. This is an STL file created from DICOM images of his CT scan which may be used for 3D printing. Leiomyosarcomas are aggressive soft tissue malignancies that are thought to arise from the smooth muscle cells lining small blood vessels. Pleomorphism is the pathologic description of cells and nuclei with variability in size, shape and staining, which is characteristic of a malignant neoplasm. Pleomorphic leiomyosarcoma is an aggressive form of leiomyosarcoma, accounting for approximately 10% of these tumors. The mean age of occurrence is 58 years old, with a range from 31-89 years. These usually occur in the extremities, but may also present in the retroperitoneum/abdominal cavity, chest/abdominal wall, and, occasionally, the scalp. On biopsy, the definition of pleomorphic leiomyosarcoma is the presence of pleomorphic cells in at last two-thirds of the cut section and at least one section of positive staining for smooth muscle. Treatment is early wide resection of the primary lesion and neo-adjuvant or adjuvant chemotherapy and radiation. Tumors may metastasize to the lung. A large primary tumor and presence in the retroperitoneal cavity are poor predictive factors, and about 65% of patients succumb to the disease. This model was created from the file STS_014.

    Free

  2. Version 1.0.0

    2 downloads

    This model is the bilateral thigh muscle rendering of a 56 year old male with a pleomorphic leiomyosarcoma of the anterior compartment of the right thigh. The patient underwent neoadjuvant radiotherapy, surgery, and adjuvant chemotherapy treatment and was found to have an intermediate grade lesion at the time of diagnosis. However, the tumor metastasized to his lungs, and the patient died 2.5 years after diagnosis. This is an STL file created from DICOM images of his CT scan which may be used for 3D printing. Leiomyosarcomas are aggressive soft tissue malignancies that are thought to arise from the smooth muscle cells lining small blood vessels. Pleomorphism is the pathologic description of cells and nuclei with variability in size, shape and staining, which is characteristic of a malignant neoplasm. Pleomorphic leiomyosarcoma is an aggressive form of leiomyosarcoma, accounting for approximately 10% of these tumors. The mean age of occurrence is 58 years old, with a range from 31-89 years. These usually occur in the extremities, but may also present in the retroperitoneum/abdominal cavity, chest/abdominal wall, and, occasionally, the scalp. On biopsy, the definition of pleomorphic leiomyosarcoma is the presence of pleomorphic cells in at last two-thirds of the cut section and at least one section of positive staining for smooth muscle. Treatment is early wide resection of the primary lesion and neo-adjuvant or adjuvant chemotherapy and radiation. Tumors may metastasize to the lung. A large primary tumor and presence in the retroperitoneal cavity are poor predictive factors, and about 65% of patients succumb to the disease. This model was created from the file STS_014.

    Free

  3. Version 1.0.0

    0 downloads

    This is a 3D model of a right thigh soft tissue mass extracted from the ct scan DICOM dataset of a 62-year old female. Histopathological examination revealed the mass to be sclerosing epithelioid fibrosarcoma of intermediate grade. 14 days prior to the pathological examination, MRI was done for this patient and 40 days after the diagnosis a PET scan was done.Her treatment plan was a combination of surgical resection of the mass and radiotherapy. Bone metastasis was confirmed 235 days after the initial diagnosis.The patient died 428 days after the diagnosis of the bone metastasis. (STS-012)

    Free

  4. Version 1.0.0

    3 downloads

    This is a case of 56-year old female patient with right thigh swelling, histo-pathology revealed it to be solitary fibrous tumor of the right thigh with intermediate grade of malignancy. MRI and PET scan were done for this patient after the initial diagnosis by 3 and 36 days respectively. Her treatment plan included radiotherapy and surgical resection of the tumor combined. upon 637 days of follow up , the patient showed no evidence of disease (NED). This STL file had been created from a CT scan DICOM dataset and is availabe for medical 3D printing .

    Free

  5. 72 downloads

    Chest wall tumors are benign or malignant tumors that can interfere with pulmonary function. Primary chest wall tumors account for 5% of all thoracic tumors and 1 to 2% of all primary tumors. Patients with chest wall tumors require chest x-ray, CT, MRI, and sometimes PET–CT to determine the original site and extent of the tumor and whether it is a primary chest wall tumor or a metastasis. Biopsy and histologic evaluation confirm the diagnosis. Prognosis varies by cancer type, cell differentiation, and stage. Sarcomas have been the most well studied, and primary chest wall sarcomas have a reported 5-yr survival of 17%. The models are provided for distribution on embodi3D.com with the permission of the creators Dr. Beth Ripley and Dr. Tatiana. These models are part of the Top 10 Killers 3D printable disease library. James Weaver and Ahmed Hosny also contributed to the project. We thank everyone involved for their contributions to embodi3d.com and their advocacy for better health and education through 3D printing. There are two STL files available for download and 3D bioprinting. One STL file for printing the chest wall mass and the other STL is for bioprinting the ribs. The files have been zipped to save space and speed up downloads. These files are distributed under the Creative Commons license Attribution-NonCommercial-NoDerivs. Please respect the terms of the licensing agreement.

    Free

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