OBJECTIVE: To evaluate the impact of high-intensity focused ultrasound (HIFU) ablation on the histopathological features of locally recurrent fibroids tissue.
METHODS: Patients who underwent transabdominal hysterectomy or myomectomy for uterine fibroids from January 1, 2021 to July 1, 2023 at a teaching hospital in China were enrolled in this prospective study. The patients who underwent surgery for local recurrence of uterine fibroids after HIFU ablation were categorized as the HIFU group, and patients who had not undergone HIFU ablation for uterine fibroids were the control group. Hematoxylin-eosin (HE) staining, Masson staining, and immunohistochemical staining were performed to analyze the counts of smooth muscle cells (SMCs), collagen content, microvascular count, and the expression levels of estrogen receptor (ER) and progesterone receptor (PR) in the fibroid tissue specimens.
RESULTS: The mean SMC counts in the HIFU and control groups were 337.68/field and 328.52/field respectively. The mean collagen content in the HIFU group and control group were 46.06% and 41.69% respectively. The mean microvessel counts in the HIFU group and control group were 13.66/field and 14.08/field respectively. The mean ER scores in the HIFU and control groups were 6.9 and 7.47 respectively, and the mean PR scores were 7.3 and 7.56 respectively. Overall, there were no significant differences in the SMC counts, collagen content, microvascular counts, and the ER and PR expression levels between the HIFU group and control group (p > 0.05).
CONCLUSIONS: HIFU ablation has no effect on the pathological characteristics of local recurrent fibroid tissue, and is an ideal non-invasive treatment option.

Sporotrichosis is a subacute or chronic infectious disease caused by sporothrix. It is mainly caused by Sporothrix inoculation after accidental skin injury during human labor. The clinical manifestations of sporotrichosis are variable, ranging from nodules, plaques, ulcers, verrucous lesions, and subcutaneous masses. Some reports indicate that sporotrichosis can mimic psoriasis-like lesions. We herein report a case of sporotrichosis mimicking rosacea lesions. In addition, the patient had a history of nasal trauma, and we believe that the patient was inoculated with Sporothrix after the nasal skin was damaged during labor activities. The patient was given itraconazole 200 mg orally daily for 3 months, which effectively resolved the rash.

Oncocytoma is a benign tumor of the salivary gland. Its incidence is very low and very seldom documen-ted in literature. Clear-cell dominant oncocytoma is even less common. The tumor\'s clinical symptoms and imaging results are nonspecific, so distinguishing other salivary gland tumors (such as oncocytic carcinoma) from clear-cell renal carcinoma is difficult, possibly leading to misdiagnosis and maltreatment. Here, a case of clear-cell dominant oncocytoma was presented, and the relevant literature was evaluated to investigate the diagnosis and management of clear-cell dominant oncocytoma.
腮腺嗜酸细胞腺瘤是一种涎腺良性肿瘤，其发病率低，既往文献少有报道，而以透明细胞为主型的嗜酸细胞腺瘤病例报道更为少见。该肿瘤临床表现及影像学检查无特异性，在诊疗中与涎腺其他肿瘤如嗜酸细胞癌以及转移性肾透明细胞癌鉴别困难，易导致误诊误治。为探讨涎腺透明细胞为主型嗜酸细胞腺瘤的诊断和治疗，提高对该肿瘤的临床病理组织学特征的认识，现报告1例腮腺透明细胞为主型嗜酸细胞腺瘤病例，并对以往相关文献进行回顾复习。.

Background: Adenoidal hypertrophy (AH) is one of the most common causes of upper airway obstruction in children. Drug and surgical treatment are the typical treatment of AH. The study on the inflammatory mechanism of AH in children provides a new idea for preoperative intervention and non-surgical treatment with anti-inflammatory drugs such as montelukast sodium (a cysteine leukotriene receptor antagonist). The aim of this study is to evaluate the effect of montelukast sodium on adenoidal lymphoid tissue pathology in children with AH under light microscope. Objective: To study whether there is any change in pathology of the adenoidal lymphoid tissue under the light microscope compared with the control group in children with moderate to severe simple AH treated with montelukast sodium for 1 month before operation. Materials and methods: Twenty patients (8 males, 12 females, 3-8 years old) with moderate to severe AH who were prepared for surgical treatment were selected. All the patients were examined by Nasopharyngeal CT and hemocyte analysis before operation. 20 subjects were randomly divided into two groups: One group was given montelukast chewable tablets 5 mg/d, qn, for 4 weeks; The control group was given placebo 5 mg/d, qn, for 4 weeks. After 4 weeks, the adenoids were removed and examined histopathology. Results: Compared with the control group, the number of lymphocytes in the blood cell analysis of the study group was significantly reduced, with a statistically significant difference (p < 0.05). And the number of germinal centers in adenoid tissue of the study group was relatively reduced, no small cyst was found in the epithelium, and the degree of inflammatory cell infiltration was reduced, with a statistically significant difference (p < 0.05). Conclusion: Montelukast can reduce the number of reactive cells, the number of lymphocytes in blood cells and blood vessels in adenoid lymphoid tissue, which can provide a new idea for preoperative intervention and non-surgical treatment of adenoid hypertrophy in children. However, this is only a pilot study and a longer treatment period is needed to assess the long-term effects of montelukast sodium on adenoid lymphoid tissue. Clinical Trial Registration: www.Chictr.org.cn, identifier ChiCTR2300075040.

We developed a deep learning framework to accurately predict the lymph node status of patients with cervical cancer based on hematoxylin and eosin-stained pathological sections of the primary tumor. In total, 1524 hematoxylin and eosin-stained whole slide images (WSIs) of primary cervical tumors from 564 patients were used in this retrospective, proof-of-concept study. Primary tumor sections (1161 WSIs) were obtained from 405 patients who underwent radical cervical cancer surgery at the Fudan University Shanghai Cancer Center (FUSCC) between 2008 and 2014; 165 and 240 patients were negative and positive for lymph node metastasis, respectively (including 166 with positive pelvic lymph nodes alone and 74 with positive pelvic and para-aortic lymph nodes). We constructed and trained a multi-instance deep convolutional neural network based on a multiscale attention mechanism, in which an internal independent test set (100 patients, 228 WSIs) from the FUSCC cohort and an external independent test set (159 patients, 363 WSIs) from the Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma cohort of the Cancer Genome Atlas program database were used to evaluate the predictive performance of the network. In predicting the occurrence of lymph node metastasis, our network achieved areas under the receiver operating characteristic curve of 0.87 in the cross-validation set, 0.84 in the internal independent test set of the FUSCC cohort, and 0.75 in the external test set of the Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma cohort of the Cancer Genome Atlas program. For patients with positive pelvic lymph node metastases, we retrained the network to predict whether they also had para-aortic lymph node metastases. Our network achieved areas under the receiver operating characteristic curve of 0.91 in the cross-validation set and 0.88 in the test set of the FUSCC cohort. Deep learning analysis based on pathological images of primary foci is very likely to provide new ideas for preoperatively assessing cervical cancer lymph node status; its true value must be validated with cervical biopsy specimens and large multicenter datasets.

Lymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed with cervical cancer, as it is closely linked to disease recurrence and mortality, thereby impacting therapeutic schedule choices for patients. However, accurately predicting LNM prior to treatment remains challenging. Consequently, this study seeks to utilize digital pathological features extracted from histopathological slides of primary cervical cancer patients to preoperatively predict the presence of LNM.
A deep learning (DL) model was trained using the Vision transformer (ViT) and recurrent neural network (RNN) frameworks to predict LNM. This prediction was based on the analysis of 554 histopathological whole-slide images (WSIs) obtained from Qilu Hospital of Shandong University. To validate the model\'s performance, an external test was conducted using 336 WSIs from four other hospitals. Additionally, the efficiency of the DL model was evaluated using 190 cervical biopsies WSIs in a prospective set.
In the internal test set, our DL model achieved an area under the curve (AUC) of 0.919, with sensitivity and specificity values of 0.923 and 0.905, respectively, and an accuracy (ACC) of 0.909. The performance of the DL model remained strong in the external test set. In the prospective cohort, the AUC was 0.91, and the ACC was 0.895. Additionally, the DL model exhibited higher accuracy compared to imaging examination in the evaluation of LNM. By utilizing the transformer visualization method, we generated a heatmap that illustrates the local pathological features in primary lesions relevant to LNM.
DL-based image analysis has demonstrated efficiency in predicting LNM in early operable cervical cancer through the utilization of biopsies WSI. This approach has the potential to enhance therapeutic decision-making for patients diagnosed with cervical cancer.

Accurate identification of lung cancer subtypes in medical images is of great significance for the diagnosis and treatment of lung cancer. Despite substantial progress in existing methods, they remain challenging due to limited annotated datasets, large intra-class differences, and high inter-class similarities.
To address these challenges, we propose a Frequency Domain Transformer Model (FDTrans) to identify patients\' lung cancer subtypes using the TCGA lung cancer dataset. We add a pre-processing process to transfer histopathological images to the frequency domain using a block-based discrete cosine transform and design a coordinate Coordinate-Spatial Attention Module (CSAM) to obtain critical detail information by reassigning weights to the location information and channel information of different frequency vectors. Then, a Cross-Domain Transformer Block (CDTB) is designed for Y, Cb, and Cr channel features, capturing the long-term dependencies and global contextual connections between different component features. At the same time, feature extraction is performed on the genomic data to obtain specific features. Finally, the image branch and the gene branch are fused, and the classification result is output through the fully connected layer.
In 10-fold cross-validation, the method achieves an AUC of 93.16% and overall accuracy of 92.33%, which is better than similar current lung cancer subtypes classification detection methods.
This method can help physicians diagnose the subtypes classification of lung cancer in patients and can benefit from both spatial and frequency domain information.

UNASSIGNED: Gorham-Stout disease (GSD) is a rare osteolytic disease with unknown etiology, varied clinical manifestations and unpredictable prognosis. This disease is characterized by progressive massive local osteolysis and resorption caused by intraosseous lymphatic vessel structure and thin-walled vascular proliferation. The diagnosis of GSD has not yet formed a uniform standard, but the combination of clinical manifestations, radiological features and unique histopathological examinations and excluding other diseases contribute to early diagnosis. Although medical therapy, radiotherapy and surgical interventions or combinations have been used for the treatment of GSD, there is currently still no recommended standardized treatment regimen.
UNASSIGNED: This paper presents a case of a previously healthy 70-year-old man presented with a 10-year history of severe right hip pain and progressive walking disorder of the lower limbs. Based on the patient\'s clear clinical presentation, unique radiological features, and histological findings, a diagnosis of GSD was made with the exclusion of other potential diseases. The patient was treated with bisphosphonates to slow the progression of the disease followed by total hip arthroplasty to help restore walking function. At the 3-year follow-up, the patient returned to normal walking and no recurrence was observed.
UNASSIGNED: Bisphosphonates combined with total hip arthroplasty may be an effective method for the treatment of severe GSD in the hip joint.

Pholiota adiposa is a valuable edible and medicinal fungus. In this research, Ergosta-4, 6, 8(14), 22-tetraen-3-one (ETO) was obtained from Pholiota adiposa which is the first time to study the anti-diabetic and related mechanism.
Ergosta-4, 6, 8 (14), 22-tetraen-3-one (ETO) was defined by IR and NMR. Relevant biochemical indicators were detected by ELISA assay, hematoxylin-eosin staining (H & E), fasting glucose levels (FBG), oral glucose tolerance test (OGTT), tissue homogenate biochemical measurements, immunohistochemical staining and western blot.
In this research, the ETO treatment groups exhibited a significant reduction in fasting blood glucose (FBG) levels, the High dose group (HD) was about 10 mmol/L lower than the diabetic control group (DC), and increase in body weight, the HD group weighed about 5 g more than the DC group on average. Also, the levels of triacylglycerol (TG), total cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) were found to be decreased, while the levels of high-density superoxide dismutase (SOD), lipoproteincholesterol (HDL-C), catalase (CAT), and glutathione peroxidase (GSH-Px) were increased in the ETO treatment groups. The pancreatic and liver sections of diabetic control group (DC) exhibited several histopathological changes, but the ETO treatment groups exhibited improvements. ETO treatment led to the significant restoration of islet morphology and function. Moreover, the results of the western blot analysis indicate that ETO could be used for the treatment of diabetes, since it modifies part of the IRS1 / PI3K / AKT signaling pathway.

To describe a rare case of spindle cell tumor in the nasal cavity of a young female, along with its successful surgical management using a low-temperature plasma knife. A 38-year-old female patient presented with a 6-month history of nasal blockage, hyposmia, and local tenderness. The patient denied a history of definite diagnosis or special treatment. A preoperative magnetic resonance imaging scan revealed the size and extent of the tumor in her nasal cavity. She underwent endoscopic surgery for the sinus using a low-temperature plasma knife. The procedure was performed without complications, and her symptoms resolved within 1 month. The postoperative pathology report suggested a spindle cell tumor in her nasal cavity. Nasal spindle cell tumor is rare and usually presents with no specific clinical symptoms, which should be taken into consideration during diagnosis. In this case, we demonstrate that the effectiveness and safety of sinus surgery can be improved and aided by a low-temperature plasma knife and nasal endoscopy.