Glomus tumors are well recongnized and well documented lesions which usually present as painful dermal nodules in the fingers. A glomus consists of arteriovenous anastomosis which may be enclosed by a connective tissue capsule. They are described occuring in the skin and subcutaneous tissue on the flexor surfaces of the fingers and toes and in the nailbeds; but they also occur elsewhere in the corium. Approximately one-third of glomus tumor occur in the nail bed. These tumors may occur at any age. This paper reports a glomus tumor occuring in the subcutaneous tissue of the right cubital fossa of a 24 years old female. Despite extreme pain and tenderness with a slight touch, there was 7 years delay in the diagnosis but complete recovery followed excision of the tumor.
Arteriovenous Anastomosis ; Connective Tissue ; Dermis ; Diagnosis ; Female ; Fingers ; Glomus Tumor ; Humans ; Skin ; Subcutaneous Tissue ; Toes

This paper records the observation of one remarkable instance of osteoid osteoma, in a single tibia presenteng a double nidus separately. X ray film checked on three years ago revealed of no abnormal findings when this patient was 17 years old. This case is 20 years oId female who complained of severe pain in her right tibia especially at night which was relieved by aspirin. Recently Lichtenstein reported two cases of osteoid osteoma with multicentrc nidus in a single bone in one sclierotic area, but in this case the nidus was about three inches apart in its own sclerotic area.
Aspirin ; Female ; Humans ; Osteoma, Osteoid ; Tibia ; X-Ray Film

No abstract available.
Tachycardia, Supraventricular*

A 6-year-old girl visited us with a 4-week history of inflammatory, pustular, tender patches and plaques on the scalp, and a 3-day history of multiple, erythematous, indurated, tender, subcutaneous nodules on both pretibial areas. A swab was taken from the scalp lesion and colonies of Tiichophyton mentagrophytes grew on culture. The histopathological findings of the leg nodule were consistent with erythema nodosum. The patient was treated with oral itraconazole and deflazacort, combined with topical potassium permanganate solution. Erythema nodosum regressed two weeks later and the kerion of the scalp regressed six weeks after starting the treatment, leaving residual scarring alopecia. The patient was diagnosed as erythema nodosum probably induced by kerion celsi, that has not been reported in the Korean literature.
Alopecia ; Child ; Cicatrix ; Erythema Nodosum* ; Erythema* ; Female ; Humans ; Itraconazole ; Leg ; Potassium Permanganate ; Scalp ; Tinea Capitis*

Objective To observe effects of chitosan on proliferation and differentiation of human periodontal ligament cells( PDLC). Methods The human periodontal ligament cells were isolated and cultured.The effects of chitosan on proliferative ability of human PDLCs were evaluated with MTT method, and alkaline phosphatase activity and the secretion of osteocalcin of human PDLCs were measured with spectrophotometric assay and radioimmunological method. Results Compared with control group, the proliferative ability of human PDLCs in Chi(0.05g?L~ -1) group and Chi(0.1g?L~ -1) group at 3,5,7 day was considerably increased (P

AIM: To investigate the clinicopathological features of orbit primary liposarcoma. METHODS: By means of histological, ultrastructural and immunohistochemical studies, the clinical and pathological features of two cases of orbit primary liposarcoma were analyzed and compared with 6 cases of primary retroperitoneum liposarcoma. RESULTS: Two cases of orbit primary liposarcoma were young persons. The majority of cases of primary retroperitoneum liposarcoma were aged over 40 years. The tumors were located at the retrobulbar region, and involved the wall of eyeball and optic nerve. The tumor cells of case 1 were round, with abundant eosinophilic granules in the cytoplasm, and there were lipoblasts in the tumor cells of two cases. Local recurrence following excision occurred in case 2.Immunohistochemical expression of S100 protein was positive in all cases, and CK (AE1/AE3), desmin, MyoD1, melanoma were negative. Ultrastructure observation showed lipid drops in the tumor cells in case 2 of orbit primary liposarcoma. CONCLUSION: Primary liposarcoma of the orbit may recur.The diagnosis was based on histological,ultrastruc-tural observation and immunohistochemical staining.

Breast MRI is the most sensitive imaging modality for detecting breast cancer. However, its widespread use is limited by factors such as extended examination times, need for contrast agents, and susceptibility to motion artifacts. Artificial intelligence (AI) has emerged as a promising solution for these challenges by enhancing the efficiency and accuracy of breast MRI in multiple domains. AI-driven image reconstruction techniques have significantly reduced scan times while preserving image quality. This method outperforms traditional parallel imaging and compressed sensing. AI has also shown great promise for lesion classification and segmentation, with convolutional neural networks and U-Net architectures improving the differentiation between benign and malignant lesions. AI-based segmentation methods enable accurate tumor detection and characterization, thereby aiding personalized treatment planning. An AI triaging system has demonstrated the potential to streamline workflow efficiency by identifying low-suspicion cases and reducing the workload of radiologists. Another promising application is synthetic breast MR image generation, which aims to generate contrast enhanced images from non-contrast sequences, thereby improving accessibility and patient safety. Further research is required to validate AI models across diverse populations and imaging protocols. As AI continues to evolve, it is expected to play an important role in the optimization of breast MRI.

Breast MRI is the most sensitive imaging modality for detecting breast cancer. However, its widespread use is limited by factors such as extended examination times, need for contrast agents, and susceptibility to motion artifacts. Artificial intelligence (AI) has emerged as a promising solution for these challenges by enhancing the efficiency and accuracy of breast MRI in multiple domains. AI-driven image reconstruction techniques have significantly reduced scan times while preserving image quality. This method outperforms traditional parallel imaging and compressed sensing. AI has also shown great promise for lesion classification and segmentation, with convolutional neural networks and U-Net architectures improving the differentiation between benign and malignant lesions. AI-based segmentation methods enable accurate tumor detection and characterization, thereby aiding personalized treatment planning. An AI triaging system has demonstrated the potential to streamline workflow efficiency by identifying low-suspicion cases and reducing the workload of radiologists. Another promising application is synthetic breast MR image generation, which aims to generate contrast enhanced images from non-contrast sequences, thereby improving accessibility and patient safety. Further research is required to validate AI models across diverse populations and imaging protocols. As AI continues to evolve, it is expected to play an important role in the optimization of breast MRI.

Breast MRI is the most sensitive imaging modality for detecting breast cancer. However, its widespread use is limited by factors such as extended examination times, need for contrast agents, and susceptibility to motion artifacts. Artificial intelligence (AI) has emerged as a promising solution for these challenges by enhancing the efficiency and accuracy of breast MRI in multiple domains. AI-driven image reconstruction techniques have significantly reduced scan times while preserving image quality. This method outperforms traditional parallel imaging and compressed sensing. AI has also shown great promise for lesion classification and segmentation, with convolutional neural networks and U-Net architectures improving the differentiation between benign and malignant lesions. AI-based segmentation methods enable accurate tumor detection and characterization, thereby aiding personalized treatment planning. An AI triaging system has demonstrated the potential to streamline workflow efficiency by identifying low-suspicion cases and reducing the workload of radiologists. Another promising application is synthetic breast MR image generation, which aims to generate contrast enhanced images from non-contrast sequences, thereby improving accessibility and patient safety. Further research is required to validate AI models across diverse populations and imaging protocols. As AI continues to evolve, it is expected to play an important role in the optimization of breast MRI.

Glycopyrrolate, a synthetic quarternary ammonium compound, has a similar pharmacologic property to that of scopolamine, a belladonna alkaloid. Since glycopyrrolate, a quarternary ammonium compound, dose not readily cross the blood brain barrier, it has less central effect than that of scopoiamine a tertiary-amine compound. The authors administered a small dose of scopolamine and glycopyrrolate to human volunteers, and examined the effect on the heart rate ofr both drugs. The results were as follows: 1) A small dose of scopolamine(0.1mg) showed significnat decrease in the heart rate. 2) A small dose of gylcopyrrolate(0.1mg) indeced little change in the heart rate. 3) A small dose of gylcopyrrolate(0.1mg), 10minutes after glycopyrrolate(0.1mg), showed marked increase in the heart rate. 4) A small dose of scopolamine(0.1mg), given 10 minutes after glycopyrrolate (0.1mg), showed tendency for decrease in heart kate. 5) A small dose of gylcopyrrolate(0.1mg), 10 minutes afterscopolamine(0.1mg), showed significant increases in the heart rate. 6) Scopolamine induced bradycardia was suppressed by an additional dose of glycopyrrolate and a preceding dose of glycopyrrolate.
Humans