Aims: We report an unusual case of epithelioid angiosarcoma (AS) mimicking an epithelioid hemangioma (EH) and analyze mutational patterns in EHs and ASs.
Methods And Results: A 58-year-old woman presented with a finger lump and metastatic lung nodules. Initial needle biopsies showed an EH, with only focal atypical histologic features. The patient underwent finger amputation and resection of lung nodules. The amputation specimen and lung nodules revealed features of AS. Fluorescence in situ hybridization for FOS and FOSB gene rearrangements were negative in the primary tumor as well as in the lung metastasis. Intrigued by the unique morphologic features of an AS masquerading as an EH, we expanded our study by analyzing mutations in EHs versus ASs using a targeted next-generation sequencing of 50 cancer-related genes. Seven EHs and 6 ASs including the present case were subjected to mutation analysis using the Ion AmpliSeq Cancer Hotspot Panel v2 assay of 50 cancer-related genes. The present case lacked mutation. Novel somatic variants were detected in 2 of 7 EHs and 1 of 6 ASs. Sorting intolerant from tolerant and polymorphism phenotyping analysis revealed benign/tolerated and deleterious variants in both tumor types. Deleterious variants TP53 c.707T>C (p.Tyr236Cys), FLT3 c.1995C>T (p.Met665Ile), and SMO c.1919C>T (p.Thr640Ile) were detected in EH, while AS revealed deleterious variant PTPN11 c.226G>A (p.Glu76Lys).
Conclusions: We present an epithelioid AS mimicking EH. We report novel somatic variants in EHs and AS. Benign variants may not be associated with development of these tumors. Whereas, deleterious variants, especially PTPN11 c.226G>A, may be linked to tumorigenesis of AS.
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http://dx.doi.org/10.1097/PAI.0000000000000551 | DOI Listing |
Radiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
View Article and Find Full Text PDFIntroduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFPhysiol Meas
January 2025
Chair of Measurements and Sensor Technology, Technische Universitat Chemnitz, Reichenhainerstrasse 70, Chemnitz, 09111, GERMANY.
Objective: Electrical Impedance Tomography (EIT) is a non-invasive technique used for lung imaging. A significant challenge in EIT is reconstructing images of deeper thoracic regions due to the low sensitivity of boundary voltages to internal conductivity variations. The current injection pattern is decisive as it influences the current path, boundary voltages, and their sensitivity to tissue changes.
View Article and Find Full Text PDFJ Am Coll Surg
January 2025
Department of Thoracic Surgery. Vanderbilt University Medical Center, 1313 21st Avenue South, Nashville, TN 37232.
Background: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.
Study Design: All computed tomography (CT) scans performed at a single tertiary care center in the outpatient or emergency room setting between 20-Feb-2024 and 20-March-2024 were processed by the AI natural language processing algorithm.
Computerized chest tomography (CT)-guided screening in populations at risk for lung cancer has increased the detection of preinvasive subsolid nodules, which progress to solid invasive adenocarcinoma. Despite the clinical significance, there is a lack of effective therapies for intercepting the progression of preinvasive to invasive adenocarcinoma. To uncover determinants of early disease emergence and progression, we used integrated single-cell approaches, including scRNA-seq, multiplexed imaging mass cytometry and spatial transcriptomics, to construct the first high-resolution map of the composition, lineage/functional states, developmental trajectories and multicellular crosstalk networks from microdissected non-solid (preinvasive) and solid compartments (invasive) of individual part-solid nodules.
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