Fibroma-like PEComa: a newly recognized soft tissue neoplasm in tuberous sclerosis patients—imaging features and review of literature

2021 ◽  
Author(s):  
Gitanjali Bajaj ◽  
Matthew R. Lindberg ◽  
Winson Chee ◽  
Debopam Samanta ◽  
Avneesh Chhabra
Keyword(s):  
Soft Tissue ◽  
Tuberous Sclerosis ◽  
Imaging Features ◽  
Review Of Literature ◽  
Soft Tissue Neoplasm

Unusual presentation of lipoma on the tongue

2020 ◽  
Vol 13 (4) ◽  
pp. e232485
Author(s):  
Beena R Varma ◽  
Krishna Santhosh Kumar ◽  
Rhea Susan Verghese ◽  
Mahija Janardhanan
Keyword(s):  
Case Report ◽  
Soft Tissue ◽  
Neck Region ◽  
Review Of Literature ◽  
Diagnostic Features ◽  
Soft Tissue Neoplasm ◽  
Head And Neck Region ◽  
Physiological Processes ◽  
Large Size ◽  
Slow Growing

Lipomas are benign soft tissue neoplasm which rarely occur in the oral cavity. Of the total reported cases of lipoma, only about 15% to 20% of cases have occurred in the head and neck region and the tongue is an even rarer site with only about 4% of the reported cases occurring in that region. They are slow growing and usually asymptomatic in nature. When it grows to a large size, it can hinder the physiological processes that are associated with the area. This case report describes the diagnostic features of tongue lipoma with a brief review of literature.

scholarly journals Imaging features of foreign body granuloma in the lower extremities mimicking a soft tissue neoplasm

2009 ◽  
Vol 114 (1) ◽  
pp. 46-51 ◽  
Author(s):  
Akira Ando ◽  
Masahito Hatori ◽  
Yoshihiro Hagiwara ◽  
Shuji Isefuku ◽  
Eiji Itoi
Keyword(s):  
Foreign Body ◽  
Soft Tissue ◽  
Lower Extremities ◽  
Foreign Body Granuloma ◽  
Imaging Features ◽  
Soft Tissue Neoplasm

Myxofibrosarcoma: clinical and prognostic value of MRI features

2020 ◽  
Vol 16 ◽  
Author(s):  
Paolo Spinnato ◽  
Andrea Sambri ◽  
Tomohiro Fujiwara ◽  
Luca Ceccarelli ◽  
Roberta Clinca ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Local Recurrence ◽  
Contrast Enhancement ◽  
Imaging Modality ◽  
Soft Tissue Sarcomas ◽  
The Elderly ◽  
High Rate ◽  
Imaging Features ◽  
High Grade ◽  
Mri Features

: Myxofibrosarcoma is one of the most common soft tissue sarcomas in the elderly. It is characterized by an extremely high rate of local recurrence, higher than other soft tissue tumors, and a relatively low risk of distant metastases.Magnetic resonance imaging (MRI) is the imaging modality of choice for the assessment of myxofibrosarcoma and plays a key role in the preoperative setting of these patients.MRI features associated with high risk of local recurrence are: high myxoid matrix content (water-like appearance of the lesions), high grade of contrast enhancement, presence of an infiltrative pattern (“tail sign”). On the other hand, MRI features associated with worse sarcoma specific survival are: large size of the lesion, deep location, high grade of contrast enhancement. Recognizing the above-mentioned imaging features of myxofibrosarcoma may be helpful to stratify the risk for local recurrence and disease-specific survival. Moreover, the surgical planning should be adjusted according to the MRI features

Imaging Features of Primary Tumors of the Hand

2020 ◽  
Vol 16 ◽  
Author(s):  
Filippo Boriani ◽  
Edoardo Raposio ◽  
Costantino Errani
Keyword(s):  
Soft Tissue ◽  
Soft Tissues ◽  
Epithelioid Sarcoma ◽  
Case Series ◽  
Malignant Neoplasm ◽  
Benign Tumors ◽  
Imaging Features ◽  
Primary Tumors ◽  
Therapeutic Decisions ◽  
Tumors Of The Hand

: Musculoskeletal tumors of the hand are a rare entity and are divided into skeletal and soft tissue tumors. Either category comprises benign and malignant or even intermediate tumors. Basic radiology allows an optimal resolution of bone and related soft tissue areas, ultrasound and more sophisticated radiologic tools such as scintigraphy, CT and MRI allow a more accurate evaluation of tumor extent. Enchondroma is the most common benign tumor affecting bone, whereas chondrosarcoma is the most commonly represented malignant neoplasm localized to hand bones. In the soft tissues ganglions are the most common benign tumors and epithelioid sarcoma is the most frequently represented malignant tumor targeting hand soft tissues. The knowledge regarding diagnostic and therapeutic management of these tumors is often deriving from small case series, retrospective studies or even case reports. Evidences from prospective studies or controlled trials are limited and for this lack of clear and supported evidences data from the medical literature on the topic are controversial, in terms of demographics, clinical presentation, diagnosis prognosis and therapy.The correct recognition of the specific subtype and extension of the tumor through first line and second line radiology is essential for the surgeon, in order to effectively direct the therapeutic decisions.

scholarly journals Head and neck osteosarcoma: CT and MR imaging features

2020 ◽  
Vol 49 (2) ◽  
pp. 20190202
Author(s):  
Zhendong Luo ◽  
Weiguo Chen ◽  
Xinping Shen ◽  
Genggeng Qin ◽  
Jianxiang Yuan ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Head And Neck ◽  
Giant Cell ◽  
High Signal ◽  
Imaging Features ◽  
Matrix Mineralization ◽  
Imaging Characteristics ◽  
Mri Features ◽  
Signal Intensities ◽  
Ct And Mri

Objective: This study aims to assess the CT and MRI features of head and neck osteosarcoma (HNO). Methods: 37 HNOs were identified, and the following imaging characteristics were reviewed on CT and MRI. Results: A total of 37 patients(age 41.5 ± 15.0 years old; 16 males, 21 females) were included in the study. Tumours occurred in the maxilla (16, 43.2%), mandible (8, 21.6%), skull base (6, 16.2%), calvarium (5, 13.5%), paranasal sinuses (1, 2.7%) and cervical soft tissue (1, 2.7%). 16 patients received radiotherapy for nasopharyngeal carcinoma. Three patients (8.1%) developed osteosarcomas related to a primary bone disease. 16 of the (43.2%) tumours demonstrated lytic density on CT scans, followed by 13 (35.1%) showing mixed density and 7 (18.9%) with sclerotic density. Matrix mineralization was present in 32 (86.5%). 3 out of 24 (12.5%) tumours showed lamellar periosteal reactions, 21 out of 24 (87.5%) showed spiculated periosteal reactions. 12 tumours showed low signal intensities on T1WI, with 16 having heterogeneous signal intensities. 10 tumours showed high signal intensities on T2WI, and 18 showed heterogeneous signal intensities. With contrast-enhanced images, 3 tumours showed homogeneous enhancement (2 osteoblastic and 1 giant cell-rich), 18 tumours showed heterogeneous enhancement (13 osteoblastic, 4 fibroblastic and 1 giant cell-rich), and 7 tumours showed peripheral enhancement (6 chondroblastic and 1 osteoblastic). These tumours were characterized by soft tissue masses with a diameter of 5.6 ± 1.8 cm. Conclusions: HNO is a rare condition and is commonly associated with previous radiation exposure. This study provides age, sex distribution, location, CT and MRI features of HNO.

scholarly journals Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1929
Author(s):  
Jan C. Peeken ◽  
Jan Neumann ◽  
Rebecca Asadpour ◽  
Yannik Leonhardt ◽  
Joao R. Moreira ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Treatment Decision ◽  
Staging System ◽  
Predictive Performance ◽  
Machine Learning Techniques ◽  
Clinical Staging ◽  
Imaging Features ◽  
Prognostic Assessment ◽  
Selection Operator

Background: In patients with soft-tissue sarcomas of the extremities, the treatment decision is currently regularly based on tumor grading and size. The imaging-based analysis may pose an alternative way to stratify patients’ risk. In this work, we compared the value of MRI-based radiomics with expert-derived semantic imaging features for the prediction of overall survival (OS). Methods: Fat-saturated T2-weighted sequences (T2FS) and contrast-enhanced T1-weighted fat-saturated (T1FSGd) sequences were collected from two independent retrospective cohorts (training: 108 patients; testing: 71 patients). After preprocessing, 105 radiomic features were extracted. Semantic imaging features were determined by three independent radiologists. Three machine learning techniques (elastic net regression (ENR), least absolute shrinkage and selection operator, and random survival forest) were compared to predict OS. Results: ENR models achieved the best predictive performance. Histologies and clinical staging differed significantly between both cohorts. The semantic prognostic model achieved a predictive performance with a C-index of 0.58 within the test set. This was worse compared to a clinical staging system (C-index: 0.61) and the radiomic models (C-indices: T1FSGd: 0.64, T2FS: 0.63). Both radiomic models achieved significant patient stratification. Conclusions: T2FS and T1FSGd-based radiomic models outperformed semantic imaging features for prognostic assessment.

scholarly journals Primary Malignant Melanoma of the Vagina without Metastasis: A Rare Case and Review of Literature

2020 ◽  
Author(s):  
Wilson Bizimana ◽  
Gloria Akimana ◽  
Arthur Semedo Insumbo ◽  
Hounayda Jerguigue ◽  
Rachida Latib ◽  
...  
Keyword(s):  
Malignant Melanoma ◽  
Patient Survival ◽  
Rare Condition ◽  
Primary Malignant Melanoma ◽  
Imaging Features ◽  
Review Of Literature ◽  
Pelvic Magnetic Resonance Imaging ◽  
Improve Patient Survival ◽  
Appropriate Treatment ◽  
Improve Patient

AbstractMalignant melanoma of vagina is a rare condition. Its histogenesis has been debated and the positive diagnosis is based on immunohistochemistry. Pelvic magnetic resonance imaging remains the gold standard for assessing locoregional extension status and post-treatment surveillance of melanoma of vagina. The observation concerned a 53-year-old woman with no specific history who presented a primary malignant melanoma of vagina without secondary locations. To date, the case is the second one reported in the literature. Early diagnosis of the malignant melanoma of vagina may improve patient survival because late diagnoses are punctuated by poor prognosis. We have presented epidemiological with etiopathogenic characteristics and described all imaging features to stage the tumor and to conduct the appropriate treatment.

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