Ultrastructural Diagnosis of Soft Tissue Tumors: Avoiding Pitfalls

Ultrastructure as an Important Component in Diagnosis of Pediatric Soft Tissue Tumors: Avoiding Pitfalls

Diagnostic pitfalls in the diagnosis of soft tissue bladder tumors in pediatric patients.

This is a case report of a low-grade leiomyosarcoma of the bladder in a four-year-old girl. The pitfalls in diagnosing a soft tissue tumor of the bladder in pediatric patients are discussed. This case is particularly instructive because the differential diagnosis was broad, difficult, and of serious consequence. This report discusses the process by which histologic, immunohistologic and ultrast...

Evaluation of Soft Tissue Tumors by Fine Needle Aspiration Cytology and Its Correlation with Histopathology: A Retrospective Study in a Tertiary Care Center

Background and objectives: Soft tissue is a non-epithelial extraskeletal tissue of the body. Soft tissue tumors (STTs) are the most commonly diagnosed neoplasms. Fine needle aspiration cytology (FNAC) is minimally invasive, quick, and a definitive diagnostic modality. Biopsy for histopathology is the gold standard method for diagnosis but is invasive. The aims of this study were to determine th...

Prevalence of Malignant Soft Tissue Tumors inExtremities: An Epidemiological Study in Syria

Background:   Although the majority of soft tissue masses are benign, it is important to consider malignancy in differential diagnoses. Because most soft tissue sarcomas present as a painless mass, clinicians must watch for signs suggestive of malignancy, including large size, rapid growth, and site deep into the deep fascia.The purpose of this study was to determine the relative prevalence acc...

Soft Tissue Modeling Using ANFIS for Training Diagnosis of Breast Cancer in Haptic Simulator

Soft tissue modeling for the creation of a haptic simulator for training medical skills has been the focus of many attempts up to now. In soft tissue modeling the most important parameter considered is its being real-time, as well as its accuracy and sensitivity. In this paper, ANFIS approach is used to present a nonlinear model for soft tissue. The required data for training the neuro-fuzzy mo...