Objective: To investigate whether breast tissue composition on preoperative automated breast ultrasound (ABUS) is associated with the accuracy of cancer multiplicity evaluation and postoperative recurrence-free survival (RFS) in patients with early-stage breast cancer. Materials and Methods: This retrospective analysis included women with early-stage breast cancer (clinical Tis, T1–2/N0) who underwent ABUS and digital mammography (DM) between October 2019 and April 2021. Tissue composition on ABUS was assessed using the Breast Imaging Reporting and Data System background echotexture (BE) (homogeneous-fat, homogeneous-fibroglandular, or heterogeneous). In a subgroup of patients with mammographically dense breasts, the glandular tissue component (GTC) on ABUS were further stratified into high (moderate or marked) or low (minimal or mild).Multivariable logistic and Cox regression analyses were used to identify factors associated with accurate cancer multiplicity categorization (unifocal, multifocal/multicentric, or bilateral) using ABUS + DM, and with RFS, respectively. Results: Among 409 women (mean age ± standard deviation, 50.2 ± 8.7 years), ABUS combined with DM yielded accurate cancer multiplicity categorization in 368 patients (90.0%). Neither BE nor GTC on ABUS affected the accuracy of categorization when ABUS was combined with DM. Over a median postoperative follow-up of 3.5 years, 11 recurrences occurred. Heterogeneous BE on ABUS (hazard ratio [HR] 11.24 [95% confidence interval [CI]: 2.82–44.92]; P = 0.001), BRCA mutation (HR 15.94 [2.47–102.97]; P = 0.004), and pathologic index cancer size (HR per 1-cm increase 1.91 [1.13–3.23];P = 0.02) was independently associated with RFS. In patients with dense breasts, heterogeneous BE (HR 14.17 [95% CI:2.69–74.60]; P = 0.002) and high GTC (HR 10.32 [2.35–45.28]; P = 0.002) on ABUS, BRCA mutation (HR 24.34 [2.75– 215.06]; P = 0.004), and pathologic cancer size (HR per 1-cm increase 2.62 [1.50–4.59]; P = 0.001) was independently associated with RFS. Conclusion In patients with early-stage breast cancer, heterogeneous BE and high GTC on preoperative ABUS, along with larger cancer size and BRCA mutation, was associated with worse RFS. However, BE and GTC did not affect cancer multiplicity evaluation when ABUS was used in combination with DM.

Background: Left bundle branch block (LBBB) significantly increases the risk of left ventricular systolic dysfunction (LVSD) due to cardiac dyssynchrony. Although artificial intelligence–enabled electrocardiography (AI-ECG) mod‑ els show promise in detecting LVSD, their performance in LBBB patients remains underexplored. We hypothesized that an AI-ECG model clinically validated for detecting LVSD would accurately detect LVSD and predict future clinical outcomes in LBBB patients. Methods: In this retrospective multicenter study, 5,689 expert-validated LBBB ECGs collected from 2,813 patients between 2016 and 2024 were analyzed using a previously developed and validated AI-ECG model. LVSD was defined as an ejection fraction of ≤ 40%. Model performance was assessed using the area under the receiver operating char‑ acteristic curve (AUROC), the area under the precision-recall curve (AUPRC), sensitivity, and specificity. Patients were stratified into high- and low-risk groups based on a threshold that achieved 90% sensitivity. A Kaplan–Meier analysis was used to compare clinical outcomes. Results: Among the 2,813 LBBB patients (mean age, 70.7 years; male sex, 43.7%), hypertension and a history of heart failure were common. The AiTiALVSD model showed strong diagnostic performance for LVSD (AUROC, 0.930 [95% CI, 0.924–0.937]; AUPRC, 0.913 [95% CI, 0.902–0.923]; sensitivity, 0.979; specificity, 0.473). During the mean follow-up of 4.1 years, high-risk patients had significantly higher hazards than low-risk patients for all-cause mortality (adjusted hazard ratio [HR], 1.87; 95% CI, 1.53–2.28), implantable cardioverter defibrillator/cardiac resynchronization therapy implantation (adjusted HR, 15.2; 95% CI, 7.51–30.77), and cardiovascular hospitalization (adjusted HR, 1.11; 95% CI, 0.96–1.28). Conclusions AiTiALVSD effectively detects LVSD and stratifies long-term cardiovascular risk in LBBB patients, support‑ ing its clinical utility for early detection and patient management.

Background: Alcoholic liver disease (ALD) includes a wide clinical spectrum from acute alcoholic hepatitis to severe cirrhosis and/or hepatocellular carcinoma. Until now, there has been no report revealing the bleeding tendency of ALD compared to other diseases in liver transplantation (LT). Thus, we analyzed blood loss and transfusion amounts during operation according to the etiologies of liver disease and model for end-stage liver disease (MELD) score. Methods: Out of 874 recipients who underwent LT, a total of 146 patients were excluded by our exclusion criteria. We compared 728 recipients’ baseline characteristics, operation time, blood loss, and transfusion amounts between ALD and nonALD according to MELD score. Results: The number of patients in the ALD group was 130 (17.9%), and 598 (82.1%) in the non-ALD group. The ALD group showed younger age, higher MELD score, and a higher proportion of deceased donor LT than the non-ALD group. Intraoperative blood loss and transfusions of red blood cells (RBCs), fresh frozen plasma, and platelets were significantly higher in the ALD group. When stratified by MELD score (cut-off: 20), ALD patients in both high and low MELD subgroups demonstrated greater blood loss and RBC transfusion requirements, even when international normalized ratio and platelet counts were similar. In multivariate logistic regression analysis, ALD was a significant risk factor for massive transfusion (odds ratio 1.813, 95% confidence interval 1.158–2.840, p=0.009). Conclusion The ALD group showed increased bleeding tendency than the non-ALD group during LT, irrespective of MELD score. This suggests that transplant surgeons should anticipate greater blood loss and ensure adequate transfusion resources during LT for ALD patients.

Since the cortico-cortical evoked potential (CCEP) was first introduced in 2004, CCEP monitoring has been utilized in various types of brain surgery to achieve maximal safe resection (MSR). MSR is the primary goal in improving the prognosis of glioma; however, this is particularly challenging when the tumor is located around eloquent areas. Since the complexity of the language network system makes it more difficult to achieve MSR, language area mapping is essential when tumors are located around these areas. Awake surgery has been the gold standard for intraoperative language area mapping.However, awake craniotomy is not always feasible due to various clinical and patient-related factors.CCEP monitoring has emerged as a promising alternative for intraoperative language function assessment under general anesthesia to overcome the limitations of awake surgery. This review aims to summarize the current evidence on CCEP-guided surgery, focusing on its effectiveness in preserving language function.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

Background: Shortage of organ donors in the Republic of Korea has become a major problem. To address this, it has been questioned whether heart transplant (HTx) allocation should be modified to reduce priority of older patients. We aimed to evaluate post-HTx outcomes according to recipient age and specific pre-HTx conditions using a nationwide prospective cohort. Methods: We analyzed clinical characteristics of 628 patients from the Korean Organ Transplant Registry who received HTx from January 2015 to December 2020. Enrolled recipients were divided into three groups according to age. We also included comorbidities including ambulatory status. Non-ambulatory status was defined as pre-HTx support with either extracorporeal membrane oxygenation, continuous renal replacement therapy, or mechanical ventilation. Results: Of the 628 patients, 195 were < 50 years, 322 were 50–64 years and 111 were ≥ 65years at transplant. Four hundred nine (65.1%) were ambulatory and 219 (34.9%) were nonambulatory. Older recipients tended to have more comorbidities, ischemic cardiomyopathy, and received older donors. Post-HTx survival was significantly lower in older recipients (P = 0.025) and recipients with non-ambulatory status (P < 0.001). However, in contrast to non-ambulatory recipients who showed significant survival differences according to the recipient’s age (P = 0.004), ambulatory recipients showed comparable outcomes (P = 0.465). Conclusion Our results do not support use of age alone as an allocation criterion. Transplant candidate age in combination with some comorbidities such as non-ambulatory status may identify patients at a sufficiently elevated risk at which suitability of HTx should be reconsidered.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.

Background: Shortage of organ donors in the Republic of Korea has become a major problem. To address this, it has been questioned whether heart transplant (HTx) allocation should be modified to reduce priority of older patients. We aimed to evaluate post-HTx outcomes according to recipient age and specific pre-HTx conditions using a nationwide prospective cohort. Methods: We analyzed clinical characteristics of 628 patients from the Korean Organ Transplant Registry who received HTx from January 2015 to December 2020. Enrolled recipients were divided into three groups according to age. We also included comorbidities including ambulatory status. Non-ambulatory status was defined as pre-HTx support with either extracorporeal membrane oxygenation, continuous renal replacement therapy, or mechanical ventilation. Results: Of the 628 patients, 195 were < 50 years, 322 were 50–64 years and 111 were ≥ 65years at transplant. Four hundred nine (65.1%) were ambulatory and 219 (34.9%) were nonambulatory. Older recipients tended to have more comorbidities, ischemic cardiomyopathy, and received older donors. Post-HTx survival was significantly lower in older recipients (P = 0.025) and recipients with non-ambulatory status (P < 0.001). However, in contrast to non-ambulatory recipients who showed significant survival differences according to the recipient’s age (P = 0.004), ambulatory recipients showed comparable outcomes (P = 0.465). Conclusion Our results do not support use of age alone as an allocation criterion. Transplant candidate age in combination with some comorbidities such as non-ambulatory status may identify patients at a sufficiently elevated risk at which suitability of HTx should be reconsidered.

This study examined the potential moderating effects of insulin resistance and dietary inflammatory index (DII) on the relationship between body mass index (BMI) and peak postprandial glucose levels in patients with prediabetes and type 2 diabetes. Methods: A retrospective analysis was conducted, using integrated nutritional data from a diabetes management program for patients with prediabetes and type 2 diabetes who used continuous glucose monitoring (CGM). Data from 17 patients, including 408 meal records, were analyzed. The energy-adjusted DII (E-DII) was calculated, and peak postprandial glucose was matched for each meal. Statistical tests analyzed differences and relationships between variables. Hayes' SPSS PROCESS macro version 4.0 was used to identify the moderating effects. Results: Peak postprandial glucose levels varied significantly among E-DII subgroups (p < .026) and were positively correlated with insulin resistance (rho = .30, p = < .001) and E-DII (rho = .14, p = .004). Insulin resistance and E-DII had a multiple additive moderating effect on the relationship between BMI and peak postprandial glucose levels in glucose-controlled patients (F = 12.22, p < .001), explaining 21.6% of the variance. Conclusion: Higher E-DII scores, which indicated a more pro-inflammatory diet, were associated with increased glucose levels, especially for patients who were overweight and mildly obese. Patients with obesity who received insulin therapy had varied postprandial glucose levels depending on their insulin resistance status. These findings highlight the importance of tailored dietary interventions, inflammation management, and CGM to improve obesity-related glucose regulation.