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Cytologic diagnosis of fumarate hydratase-deficient renal cell carcinoma: A single-institutional experience.
Cancer Cytopathol
February 2025
Department of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Background: Fumarate hydratase-deficient renal cell carcinoma (FHRCC) is an aggressive carcinoma that typically presents as advanced-stage disease. Prompt recognition of FHRCC is critical for appropriate clinical care and genetic counseling for patients and family members. However, diagnosing FHRCC from cytology specimens is challenging, with limited characterization and no reports describing prospectively identified cases.
View Article and Find Full Text PDFA rare perspective: fine-needle aspiration cytologic features of hyaline vascular type of Castleman disease: A case report.
Medicine (Baltimore)
December 2024
Departments of Pathology, Qianjiang Central Hospital, Qianjiang, Hubei, China.
Rationale: Castleman disease, also known as Castleman syndrome, is a rare, nonmalignant lymphoproliferative disorder. The localized subtype of this disease is primarily the hyaline vascular type of Castleman disease (HVCD). Although this disease is a benign lesion, the histologic features are similar to those of some malignant lymphomas, so an accurate diagnosis of the disease is required.
View Article and Find Full Text PDFA rapid turnaround time workflow for a cytological liquid biopsy assay using FNA supernatant specimens.
Cancer Cytopathol
January 2025
The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Article Synopsis
- Genomic profiling is critical for managing non-small cell lung cancer, but challenges include limited tissue availability and long turnaround times for sequencing.
- A study compared a rapid automated nucleic acid extraction method using the Genexus system to a manual method, analyzing samples from 50 patients.
- Results showed both methods had similar quality control metrics, but the automated approach significantly reduced processing time and achieved a 24-hour turnaround for sequencing, facilitating quicker clinical decisions.
[Artificial intelligence in ultrasound diagnosis of thyroid nodules].
Khirurgiia (Mosk)
December 2024
Petrovsky National Research Center of Surgery, Moscow, Russia.
Objective: To analyze the efficacy of the S-Detect AI system of the Samsung RS85 ultrasound scanner (South Korea) in stratifying thyroid nodules compared to data obtained by specialist of ultrasound diagnostics.
Material And Methods: In 2024, we analyzed ultrasound data of 80 patients with thyroid nodules who required fine-needle aspiration biopsy (FNAB). Patients underwent thyroid ultrasound with nodule assessment according to the EU TI-RADS classification (GE Voluson E8 scanner, USA).
Background: Adiposity may be associated with thyroid nodularity. However, its impact on the number of nodules and the risk of malignancy is unclear.
Aim: To evaluate the impact of adiposity on thyroid nodules using body mass index (BMI), ultrasonographic (US) data and cytological data.
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