Prolapsed Uterine Smooth Muscle Tumor of Uncertain Malignant Potential: A Case Report and Review of Radiologic Findings.

INTRODUCTION: Uterine smooth muscle tumor of uncertain malignant potential (STUMP) is a rare tumor that arises in the myometrium of the uterus. It is regarded as an intermediate malignant tumor according to the recent World Health Organization classification. Few studies have reported the radiologic findings of STUMP, and the differentiation of STUMP from leiomyoma remains controversial. CASE DESCRIPTION: A 42-year-old nulliparous female presented at our institution with massive vaginal bleeding. Radiological studies, including ultrasonography, computed tomography (CT), and magnetic resonance imaging, revealed an oval-shaped mass with well-defined margins in the uterus protruding into the vagina. The patient underwent a total abdominal hysterectomy, and the final pathology was confirmed as STUMP. CONCLUSION: Distinguishing STUMP from leiomyomas based solely on radiological findings can be challenging. However, if the uterine mass appears as a single mass lacking acoustic shadowing on ultrasound and demonstrates diffusion restriction with high T2 signal intensity on magnetic resonance imaging, consideration of STUMP may be necessary for proper patient management, given the poor prognosis associated with this tumor.

Huge Primary Clear Cell Hepatocellular Carcinoma: a Case Report and Review of Radiologic Findings.

INTRODUCTION: Clear cell hepatocellular carcinoma (HCC) is a rare subtype of HCC. Histologically, clear cell HCC is characterized by the cytoplasmic accumulation of glycogen with a clear cell appearance, constituting > 80% of tumor cells. Radiologically, clear cell HCC demonstrates early enhancement and washout similar to conventional HCC. Occasionally, enhancing capsule and intratumoral fat are accompanied by clear cell HCC. CASE DESCRIPTION: A 57-year-old male presented to our hospital with right upper quadrant abdominal pain. Ultrasonography, computed tomography, and magnetic resonance imaging revealed a large mass with a well-defined margin in the right hemiliver. The patient underwent a right hemihepatectomy, and the final histopathology revealed clear cell-type HCC. CONCLUSION: Distinguishing clear cell types from other types of HCC solely based on radiological findings is challenging. If hepatic tumors exhibit encapsulated margins, enhancing rims, intratumoral fat, and arterial phase hyperenhancement/washout pattern despite their large size, consideration of clear cell subtypes in the differential diagnosis list will aid patient management, implying better prognosis than not-otherwise-specified HCC.

Comparison of microbial molecular diagnosis efficiency within unstable template metagenomic DNA samples between qRT-PCR and chip-based digital PCR platforms.

Accurate and efficient microbial diagnosis is crucial for effective molecular diagnostics, especially in the field of human healthcare. The gold standard equipment widely employed for detecting specific microorganisms in molecular diagnosis is quantitative real-time polymerase chain reaction (qRT-PCR). However, its limitations in low metagenomic DNA yield samples necessitate exploring alternative approaches. Digital PCR, by quantifying the number of copies of the target sequence, provides absolute quantification results for the bacterial strain. In this study, we compared the diagnostic efficiency of qRT-PCR and digital PCR in detecting a particular bacterial strain (Staphylococcus aureus), focusing on skin-derived DNA samples. Experimentally, specific primer for S. aureus were designed at transcription elongation factor (greA) gene and the target amplicon were cloned and sequenced to validate efficiency of specificity to the greA gene of S. aureus. To quantify the absolute amount of microorganisms present on the skin, the variable region 5 (V5) of the 16S rRNA gene was used, and primers for S. aureus identification were used to relative their amount in the subject's skin. The findings demonstrate the absolute convenience and efficiency of digital PCR in microbial diagnostics. We suggest that the high sensitivity and precise quantification provided by digital PCR could be a promising tool for detecting specific microorganisms, especially in skin-derived DNA samples with low metagenomic DNA yields, and that further research and implementation is needed to improve medical practice and diagnosis.

Effective microbial molecular diagnosis of periodontitis-related pathogen Porphyromonas gingivalis from salivary samples using rgpA gene.

Importance of accurate molecular diagnosis and quantification of particular disease-related pathogenic microorganisms is highlighted as an introductory step to prevent and care for diseases. In this study, we designed a primer/probe set for quantitative real-time polymerase chain reaction (qRT-PCR) targeting rgpA gene, known as the specific virulence factor of periodontitis-related pathogenic bacteria 'Porphyromonas gingivalis', and evaluated its diagnostic efficiency by detecting and quantifying relative bacterial load of P. gingivalis within saliva samples collected from clinical subjects. As a result of qRT-PCR, we confirmed that relative bacterial load of P. gingivalis was detected and quantified within all samples of positive control and periodontitis groups. On the contrary, negative results were confirmed in both negative control and healthy groups. Additionally, as a result of comparison with next-generation sequencing (NGS)-based 16S metagenome profiling data, we confirmed relative bacterial load of P. gingivalis, which was not identified on bacterial classification table created through 16S microbiome analysis, in qRT-PCR results. It showed that an approach to quantifying specific microorganisms by applying qRT-PCR method could solve microbial misclassification issues at species level of an NGS-based 16S microbiome study. In this respect, we suggest that P. gingivalis-specific primer/probe set introduced in present study has efficient applicability in various oral healthcare industries, including periodontitis-related microbial molecular diagnosis field.