Publications by authors named "J Jebastin Thangaiah"
Article Synopsis
- Angioleiomyomas are benign tumors that develop from the smooth muscle of blood vessels and can occur in various body regions, though they are commonly found in the head, neck, and uterus.
- A study examined 191 patients with trunk or extremity angioleiomyomas, finding that a high percentage experienced pain, with most tumors located in the lower extremities; imaging revealed non-specific soft tissue masses and specific characteristics on ultrasound and cross-sectional imaging.
- Key imaging features to identify angioleiomyomas include a soft tissue mass near blood vessels, hypoechoic nature with internal vascularity on ultrasound, and certain MRI characteristics, which can help differentiate them from other conditions.
Sclerosing epithelioid fibrosarcoma (SEF) was originally described as a peculiar variant of fibrosarcoma in 1995. Subsequent studies showed that conventional SEF was associated with both immunohistochemical expression of MUC4 and EWSR1/FUS gene rearrangements with CREB3L1 as the predominant fusion partner. Since then, a distinct group of fibrous tumors characterized by YAP1::KMT2A and KMT2A::YAP1 gene rearrangements and SEF-like morphology has been described.
View Article and Find Full Text PDFArticle Synopsis
- In a study of six EAPDC cases, histological features were similar to axial PDC, showing malignant cell characteristics, and genetic analysis revealed common loss of the SMARCB1 gene.
- Follow-up revealed significant clinical challenges, including local recurrences and metastasis within months of surgery, highlighting the aggressive nature and poor prognosis of these rare tumors.
An amplicon-based targeted next-generation sequencing (NGS) assay for the detection of gene fusions in sarcomas was developed, validated, and implemented. This assay can detect fusions in targeted regions of 138 genes and BCOR internal tandem duplications. This study reviews our experience with testing on the first 652 patients analyzed.
View Article and Find Full Text PDFBackground: The authors previously developed an artificial intelligence (AI) to assist cytologists in the evaluation of digital whole-slide images (WSIs) generated from bile duct brushing specimens. The aim of this trial was to assess the efficiency and accuracy of cytologists using a novel application with this AI tool.
Methods: Consecutive bile duct brushing WSIs from indeterminate strictures were obtained.