In this report, we introduce an undetermined fibrous tumor with calcification occurring in the cerebellopontine angle (CPA). A 51-year-old woman was admitted with a short history of dizziness. Computed tomography and magnetic resonance images revealed a 2x2x2 cm sized mass at the left CPA which was round and calcified. There was no dura or internal auditory canal involvement. At surgery, the tumor was located at the exit of 7th and 8th cranial nerve complex. It was very firm, bright yellow and well encapsulated. Histologic findings revealed that the tumor was predominantly composed of fibrous component, scant spindle cells and dystrophic calcification. Immunohistochemical staining demonstrated positive for vimentin and negative for epithelial membrane antigen (EMA), S-100 protein, CD34, factor XIIIa and smooth muscle actin. The diagnosis was not compatible with meningioma, schwannoma, metastatic brain tumors, and other fibrous tumors. Although the tumor was resected in total, long term follow-up monitoring is necessary due to the possibility of recurrence.
Actins ; Brain Neoplasms ; Cerebellopontine Angle ; Cranial Nerves ; Dizziness ; Factor XIIIa ; Female ; Follow-Up Studies ; Humans ; Immunohistochemistry ; Magnetic Resonance Spectroscopy ; Meningioma ; Middle Aged ; Mucin-1 ; Muscle, Smooth ; Neurilemmoma ; Recurrence ; S100 Proteins ; Vimentin

Degenerative disc disease of the lumbar spine caused leg pain with associated calf weakness and atrophy. However, an unusual case of leg pain and calf atrophy due to neural compression is reported. We reported a rare case of a Baker's cyst causing common peroneal nerve and tibial nerve entrapment neuropathy. Initially, after arthroscopic menisectomy and cyst decompression, Baker's cyst was recurred and then open excision was done. Until 1 year after surgery, the cyst was not recurred, increased muscle bulk was noted and EMG showed improved findings. But she continued to complain of lower leg weakness and sole paresthesia owing to delayed diagnosis and cyst decompression.
Atrophy ; Decompression ; Delayed Diagnosis ; Leg ; Paresthesia ; Peroneal Nerve* ; Popliteal Cyst* ; Spine ; Tibial Nerve*

Carcinoma of the thyroid usually presents as a palpable thyroid mass. However, in rare cases patients with thyroid cancer present with metastases of the cervical lymph node as the initial manifestation. The metastatic papillary tumor in cervical lymph nodes stained positive for thyroglobulin indicates the presence of a thyroid carcinoma, usually in the ipsilateral lobe. We herein report a case of multiple metastases in papillary thyroid carcinoma arising in the lateral aberrant thyroid with no evidence of thyroid carcinoma in the thyroid lobe.
Humans ; Lymph Nodes ; Neoplasm Metastasis* ; Thyroglobulin ; Thyroid Gland* ; Thyroid Neoplasms*

Patients with acromegaly have high incidence of benign or malignant neoplasia than general population and many investigators suggest the stimulatory effect of GH and IGF-1 on mesenchymal cells. Both normal thyroid tissue and thyroid cancer cells express IGF-1 receptor and thyroid cancer cells have more than 3 times. We present a case of acromegaly in patient with mixed papillary-follicular thyroid carcinoma, suggesting the possible carcinogenic role of GH and IGF-1.
Acromegaly* ; Humans ; Incidence ; Insulin-Like Growth Factor I ; Receptor, IGF Type 1 ; Research Personnel ; Thyroid Gland* ; Thyroid Neoplasms*

Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988–0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618– 0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988–0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618– 0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

Endomyocardial biopsy (EMB) is one of the reliable methods for the diagnosis of various cardiac diseases. However, EMB can cause various complications. The purpose of this study is to evaluate the complication of transfemoral EMB with both fluoroscopic and two-dimensional (2-D) echocardiographic guidance. A total of 228 patients (148 men; 46.0+/-14.6 yr-old) who underwent EMB at Kyungpook National University Hospital from January 2002 to June 2012 were included. EMB was performed via the right femoral approach with the guidance of both echocardiography and fluoroscopy. Overall, EMB-related complications occurred in 21 patients (9.2%) including one case (0.4%) with cardiac tamponade requiring emergent pericardiocentesis, four cases (1.8%) with small pericardial effusion without pericardiocentesis, two cases (0.9%) with hemodynamically unstable ventricular tachycardia (VT), one case (0.4%) with nonsustained VT, one case (0.4%) with tricuspid regurgitation, twelve cases (5.3%) with right bundle branch block. There was no occurrence of either EMB-related death or cardiac surgery. Left ventricular ejection fraction was significantly lower (32.0+/-18.7% vs 42.0+/-19.1%, P=0.023) and left ventricular end-diastolic dimension was larger (60.0+/-10.0 mm vs 54.2+/-10.2 mm, P=0.013) in patients with EMB related complications than in those without. It is concluded that transfemoral EMB with fluoroscopic and 2-D echocardiographic guidance is a safe procedure with low complication rate.
Adult ; Biopsy/*adverse effects ; Cardiac Tamponade/etiology ; Echocardiography/*adverse effects ; Endocardium/*ultrasonography ; Female ; Fluoroscopy/*adverse effects ; Heart Diseases/*pathology ; Heart Ventricles/metabolism ; Humans ; Male ; Middle Aged ; Pericardial Effusion/etiology ; Tachycardia, Ventricular/etiology ; Ventricular Function

Flow cytometrically determined nuclear DNA content has been measured on 74 formalin-fixed, paraffin embedded specimens of non-small cell carcinoma of the lung. Of the 60 tumors that were successfully analyzed, 32 (53%) were diploid and 28 (47%) were aneuploid. The mean DNA index of aneuploid tumor was 1.5 +/- 0.25, ranging from 1.1 to 2.0. There was no significant correlation between DNA ploidy and the patient's clinical characteristics, histology of tumor, nodal status or tumor stage. Tumor ploidy was not found as a prognostic determinant in non-small cell carcinoma of the lung in this study.
Adult ; Aged ; Carcinoma, Non-Small-Cell Lung/*genetics ; DNA/*genetics ; Female ; *Flow Cytometry ; Human ; Korea ; Lung Neoplasms/*genetics ; Male ; Middle Age ; *Ploidies

On page 370, Article Title has been incorrectly marked Etiologies and Predictors of ST-Segment Elevation Myocardial Infarction. The correct title is Etiologies and Predictors of False-Positive Diagnosis of ST-Segment Elevation Myocardial Infarction.

PURPOSE: Recent studies have shown a 7~15% lymph node (LN) metastasis rate in submucosal invasive colorectal cancer (SICC). Identification of risk factors for LN metastasis is crucial in the choice of therapeutic modalities for SICC. The present study was performed to assess the possibility of LN metastasis and to determine the risk factors of LN metastasis in SICC. METHODS: A retrospective study of 168 patients with SICC who underwent a curative resection between June 1989 and December 2004 at Asan Medical Center was conducted. The level of submucosal invasion was classified into upper third (sm1), middle third (sm2), and lower third (sm3) according to the submucosal depth of invasion. The following carcinoma-related variables were assessed: tumor size, tumor location, level of submucosal invasion, cell differentiation, lymphovascular invasion, neural invasion, and tumor cell dissociation (TCD). RESULTS: The overall LN metastasis rate was 14.3%. According to the level of submucosal invasion, LN metastasis was seen as follows: sm1, n=4 (4.2%), sm2, n= 10 (21.3%), and sm3, n=10 (38.5%) (P=0.039). According to cell differentiation, LN metastasis was observed as follows: well-differentiated, n=4 (4.9%), moderately differentiated, n=19 (22.9%), and poorly differentiated, n=1 (25.0%) (P=0.028). Nineteen of the 66 cases (28.8%) with TCD had significantly higher risk of LN metastasis as did 5 of the 102 cases (4.9%) without TCD (P=0.045). No statistical difference was observed in the risk of LN metastasis with regard to tumor location, tumor size, neural invasion, or lymphovascular invasion. CONCLUSIONS: Submucosal invasion, cell differentiation, and tumor cell dissociation were significant pathologic predictors of LN metastasis in SICC. As SICC has considerable risk of LN metastasis, local excision should be reserved to highly selective sm1 cancers.
Cell Differentiation ; Chungcheongnam-do ; Colorectal Neoplasms* ; Humans ; Lymph Nodes* ; Neoplasm Metastasis* ; Retrospective Studies ; Risk Factors*