Purpose: Unnecessary prostate biopsies for detecting prostate cancer (PCa) should be minimized. Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. Materials and Methods: We retrospectively analyzed clinical data from 928 patients who underwent prostate biopsies at Kangwon National University Hospital between May 2013 and May 2023. Of these, 377 (41.6%) were diagnosed with PCa, and 551 (59.4%) did not have cancer. For external validation, clinical data from 385 patients aged 48–89 years who underwent prostate biopsies from September 2005 to September 2023 at Wonju Severance Christian Hospital were also included. Twenty-two clinical features were used to develop an ML model to predict PCa. Features were selected based on their contributions to model performance, leading to the inclusion of 15 features. A meta-learner was constructed using logistic regression to predict the probability of PCa, and the classifier was trained and validated on randomly extracted training and test sets at an 8:2 ratio. Results: The prostate health index, prostate volume, age, nodule on digital rectal examination, and prostate-specific antigen were the top 5 features for predicting PCa. The area under the receiver operating characteristic curve (AUC) of the meta-learner logistic regression model was 0.89, and the accuracy, sensitivity, and specificity were 0.828, 0.711, and 0.909, respectively. Our model also showed excellent prediction performance for high-grade PCa, with a Gleason score of 7 or higher and an AUC of 0.903. Furthermore, we evaluated the performance of the model using external cohort clinical data and achieved an AUC of 0.863. Conclusions Our ML model excelled in predicting PCa, specifically clinically significant PCa. Although extensive cross-validation in other clinical cohorts is needed, this ML model is a promising option for future diagnostics.

Purpose: Unnecessary prostate biopsies for detecting prostate cancer (PCa) should be minimized. Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. Materials and Methods: We retrospectively analyzed clinical data from 928 patients who underwent prostate biopsies at Kangwon National University Hospital between May 2013 and May 2023. Of these, 377 (41.6%) were diagnosed with PCa, and 551 (59.4%) did not have cancer. For external validation, clinical data from 385 patients aged 48–89 years who underwent prostate biopsies from September 2005 to September 2023 at Wonju Severance Christian Hospital were also included. Twenty-two clinical features were used to develop an ML model to predict PCa. Features were selected based on their contributions to model performance, leading to the inclusion of 15 features. A meta-learner was constructed using logistic regression to predict the probability of PCa, and the classifier was trained and validated on randomly extracted training and test sets at an 8:2 ratio. Results: The prostate health index, prostate volume, age, nodule on digital rectal examination, and prostate-specific antigen were the top 5 features for predicting PCa. The area under the receiver operating characteristic curve (AUC) of the meta-learner logistic regression model was 0.89, and the accuracy, sensitivity, and specificity were 0.828, 0.711, and 0.909, respectively. Our model also showed excellent prediction performance for high-grade PCa, with a Gleason score of 7 or higher and an AUC of 0.903. Furthermore, we evaluated the performance of the model using external cohort clinical data and achieved an AUC of 0.863. Conclusions Our ML model excelled in predicting PCa, specifically clinically significant PCa. Although extensive cross-validation in other clinical cohorts is needed, this ML model is a promising option for future diagnostics.

Purpose: Unnecessary prostate biopsies for detecting prostate cancer (PCa) should be minimized. Therefore, this study developed a machine learning (ML) model to predict PCa in Korean men and evaluated its usability. Materials and Methods: We retrospectively analyzed clinical data from 928 patients who underwent prostate biopsies at Kangwon National University Hospital between May 2013 and May 2023. Of these, 377 (41.6%) were diagnosed with PCa, and 551 (59.4%) did not have cancer. For external validation, clinical data from 385 patients aged 48–89 years who underwent prostate biopsies from September 2005 to September 2023 at Wonju Severance Christian Hospital were also included. Twenty-two clinical features were used to develop an ML model to predict PCa. Features were selected based on their contributions to model performance, leading to the inclusion of 15 features. A meta-learner was constructed using logistic regression to predict the probability of PCa, and the classifier was trained and validated on randomly extracted training and test sets at an 8:2 ratio. Results: The prostate health index, prostate volume, age, nodule on digital rectal examination, and prostate-specific antigen were the top 5 features for predicting PCa. The area under the receiver operating characteristic curve (AUC) of the meta-learner logistic regression model was 0.89, and the accuracy, sensitivity, and specificity were 0.828, 0.711, and 0.909, respectively. Our model also showed excellent prediction performance for high-grade PCa, with a Gleason score of 7 or higher and an AUC of 0.903. Furthermore, we evaluated the performance of the model using external cohort clinical data and achieved an AUC of 0.863. Conclusions Our ML model excelled in predicting PCa, specifically clinically significant PCa. Although extensive cross-validation in other clinical cohorts is needed, this ML model is a promising option for future diagnostics.

Objective: Serious bacterial infection (SBI) is a common disease among infants, and it is associated with high morbidity and mortality. Making the diagnosis of SBI is challenging and measurement of various biomarkers is useful. This study examined the utility of lactate at an emergency department for diagnosing SBI patients. Methods: This was a retrospective, observational study of febrile infants less than 90 days old presenting to the emergency department of a tertiary hospital between September 2014 and August 2017. The demographic and laboratory data was collected through a chart review. Results: Laboratory tests such as the white blood cell count, C-reactive protein (CRP), procalcitonin, and lactate showed significant differences on the Student-T test and the Mann Whitney-U test. Multivariabe logistic regression test was done using the variables with significant differences. CRP (P=0.037; odds ratio, 1.01), procalcitonin (P=0.011; odds ratio, 1.02) and lactate (P=0.001; odds ratio, 2.38) shows significant correlation. Conclusion For febrile infants at the emergency department, the measurement of lactate is expected to be a useful tool to diagnose serious bacterial infection.

BACKGROUND/AIMS: This study was performed to evaluate whether the prevalence rates of primary antibiotic resistance in Helicobacter pylori (H. pylori) isolates and the eradication rate of H. pylori could be different between cancer and non-cancer patients. METHODS: H. pylori were isolated from gastric mucosal biopsy specimens obtained from 269 Koreans, who did not have any eradication therapy history and were diagnosed as one of the following diseases; chronic gastritis, benign gastric ulcer, duodenal ulcer or gastric cancer. The susceptibilities of the H. pylori isolates to amoxicillin, clarithromycin, metronidazole, tetracycline, azithromycin, ciprofloxacin, levofloxacin and moxifloxacin were examined with the agar dilution method. In addition, eradication rate of H. pylori was evaluated. RESULTS: There was no significant difference in the primary antibiotic resistance to above eight antibiotics among chronic gastritis, peptic ulcer disease and gastric cancer. Furthermore there was no difference of antibiotic resistance between cancer and non-cancer patients, and there was no difference of eradication rate of H. pylori according to disease. CONCLUSIONS: Primary antibiotic resistance and H. pylori eradication rate were not different between cancer and non-cancer patients.
2-Pyridinylmethylsulfinylbenzimidazoles/therapeutic use ; Adult ; Aged ; Amoxicillin/therapeutic use ; Anti-Bacterial Agents/therapeutic use ; Chronic Disease ; Clarithromycin/therapeutic use ; *Drug Resistance, Bacterial ; Drug Therapy, Combination ; Duodenal Ulcer/complications/microbiology ; Female ; Gastritis/complications/microbiology ; Helicobacter Infections/drug therapy/*epidemiology/microbiology ; Helicobacter pylori/*drug effects/isolation & purification ; Humans ; Male ; Microbial Sensitivity Tests ; Middle Aged ; Omeprazole/therapeutic use ; Peptic Ulcer/complications/microbiology ; Proton Pump Inhibitors/therapeutic use ; Republic of Korea ; Stomach Neoplasms/complications/microbiology

Takotsubo cardiomyopathy is a transient condition characterized by acute left ventricular dysfunction without evidence of significant coronary artery obstruction. Takotsubo cardiomyopathy is not an uncommon complication of subarachnoid hemorrhage or acute cerebral infarction, but acute cerebral infarction is a rare thromboembolic complication in patients with Takotsubo cardiomyopathy. We present a patient with acute cerebral infarction following Takotsubo cardiomyopathy associated with pneumothorax.
Cerebral Infarction ; Coronary Vessels ; Humans ; Pneumothorax ; Subarachnoid Hemorrhage ; Takotsubo Cardiomyopathy ; Ventricular Dysfunction, Left

PURPOSE: Recent literature has shown that lymph node ratio is superior to the absolute number of metastatic lymph nodes in predicting the prognosis in several malignances other than colorectal cancer. The aim of this study was to evaluate the prognostic significance of the lymph node ratio (LNR) in patients with stage III colorectal cancer. METHODS: We included 186 stage III colorectal cancer patients who underwent a curative resection over a 10-year period in one hospital. The cutoff point of LNR was chosen as 0.07 because there was significant survival difference at that LNR. The Kaplan-Meier and the Cox proportional hazard models were used to evaluate the prognostic effect according to LNR. RESULTS: There was statistically significant longer overall survival in the group of LNR > 0.07 than in the group of LNR < or = 7 (P = 0.008). Especially, there was a survival difference for the N1 patients group (LN < 4) according to LNR (5-year survival of N1 patients was lower in the group of LNR > 0.07, P = 0.025), but there was no survival difference for the N2 group (4 > or = LN) according to LNR. The multivariate analysis showed that the LNR is an independent prognostic factor. CONCLUSIONS: LNR can be considered as a more accurate and potent modality for prognostic stratifications in patients with stage III colorectal cancer.
Colorectal Neoplasms ; Humans ; Lymph Nodes ; Multivariate Analysis ; Prognosis ; Proportional Hazards Models

A 27-year-old woman suffered a sudden visual disturbance in the right eye. The right eye had a visual acuity of 0.02 and a relative afferent pupillary defect. A visual-field examination revealed an inferotemporal field defect in the right eye. A fundus examination revealed no abnormalities that were responsible for the visual-field defect. Multifocal electroretinography showed decreased responses in the right eye at the corresponding area with the visual-field defect. She was diagnosed as acute zonal occult outer retinopathy.
Adult ; Electroretinography ; Eye ; Female ; Fluconazole ; Humans ; Optic Neuritis ; Pupil Disorders ; Scotoma ; Visual Acuity

Phenolic compounds affect intracellular free Ca2+ concentration ([Ca2+]i) signaling. The study examined whether the simple phenolic compound octyl gallate affects ATP-induced Ca2+ signaling in PC12 cells using fura-2-based digital Ca2+ imaging and whole-cell patch clamping. Treatment with ATP (100 micrometer) for 90 s induced increases in [Ca2+]i in PC12 cells. Pretreatment with octyl gallate (100 nM to 20 micrometer) for 10 min inhibited the ATP-induced [Ca2+]i response in a concentration-dependent manner (IC50=2.84 micrometer). Treatment with octyl gallate (3 micrometer) for 10 min significantly inhibited the ATP-induced response following the removal of extracellular Ca2+ with nominally Ca2+-free HEPES HBSS or depletion of intracellular Ca2+ stores with thapsigargin (1 micrometer). Treatment for 10 min with the L-type Ca2+ channel antagonist nimodipine (1 micrometer) significantly inhibited the ATP-induced [Ca2+]i increase, and treatment with octyl gallate further inhibited the ATP-induced response. Treatment with octyl gallate significantly inhibited the [Ca2+]i increase induced by 50 mM KCl. Pretreatment with protein kinase C inhibitors staurosporin (100 nM) and GF109203X (300 nM), or the tyrosine kinase inhibitor genistein (50 micrometer) did not significantly affect the inhibitory effects of octyl gallate on the ATP-induced response. Treatment with octyl gallate markedly inhibited the ATP-induced currents. Therefore, we conclude that octyl gallate inhibits ATP-induced [Ca2+]i increase in PC12 cells by inhibiting both non-selective P2X receptor-mediated influx of Ca2+ from extracellular space and P2Y receptor-induced release of Ca2+ from intracellular stores in protein kinase-independent manner. In addition, octyl gallate inhibits the ATP-induced Ca2+ responses by inhibiting the secondary activation of voltage-gated Ca2+ channels.
Adenosine Triphosphate ; Animals ; Calcium ; Constriction ; Extracellular Space ; Gallic Acid ; Genistein ; HEPES ; Indoles ; Maleimides ; Nimodipine ; PC12 Cells ; Phenol ; Protein Kinase C ; Protein-Tyrosine Kinases ; Thapsigargin

The basic route and mechanism for diapedesis has not yet to be fully defined. Here we present evidence that "cell-cell separation" between endothelial cells (ECs) may provide a route for leukocyte diapedesis. We unexpectedly found that extensive interaction between peripheral blood leukocytes and ECs that were activated by TNF-alpha induced the opening of EC contacts and, surprisingly, resulted in cell-cell separation. This event was specific to the intercellular adhesion molecules-1 (ICAM-1)/leukocyte function-associated antigen-1 interaction, as demonstrated by the following: (1) ICAM-1 expression correlated with increased EC contraction; and (2) the blocking of ICAM-1 selectively inhibited EC separation. Thus, we suggest that "cell-cell separation" could be a mechanism for diapedesis in situations that may require massive leukocyte infiltration.
Cell Movement ; Cells, Cultured ; Endothelial Cells/*cytology/metabolism ; Flow Cytometry ; Fluorescent Antibody Technique ; Humans ; Intercellular Adhesion Molecule-1/*metabolism ; Leukocytes/cytology/*immunology ; Lymphocyte Function-Associated Antigen-1/*metabolism