Methods: This single-center study included 130 patients with osteoporotic vertebral fractures who underwent BKP and preoperative computed tomography and magnetic resonance imaging. After propensity score matching for age; sex; body mass index; fracture level; use of steroids, teriparatide, or osteoporosis medication; and previous AVF, patients were classified into the AVF (−) and AVF (+) groups, each of which included 34 patients. Bone strength was assessed using the L1 HU, L1–4 HU (mean HU of L1–L4), L1 VBQ, and L1–4 VBQ. Group differences were analyzed, and the predictive accuracy for AVF was evaluated using area under the receiver operating characteristic curve (AUC). Results: L1 HU was significantly lower in the AVF (+) group than in the AVF (−) group (92.1±29.4 vs. 71.6±21.4, p =0.013). No significant differences between the groups were observed for L1–4 HU, L1 VBQ, and L1–4 VBQ. L1 HU had the highest AUC (0.657), compared with those for L1–4 HU (0.625), L1 VBQ (0.524), and L1–4 VBQ (0.523). The predictive accuracy of L1 was superior to that of L1–4 for both HU and VBQ scores. Conclusions HU was superior to VBQ in predicting AVF risk after BKP, with L1 HU being the most effective indicator of bone strength and AVF risk.

The indications for endoscopic resection (ER) and the criteria for the curability of early gastric cancer (EGC) have been expanding. Among Korea, Japan, and Europe, Korea has the most strictly defined indication for ER, followed by Europe and Japan, whereas the curability criteria are relatively similar. Additional surgery is the standard treatment after noncurative resection; however, it is not frequently performed in older patients in clinical practice. Several risk-scoring systems have been developed to further stratify the risk of lymph node metastasis after noncurative resection, and they may help refine the indications for ER and curability assessment in older patients. Nevertheless, the current evidence remains insufficient to establish recommendations specific to this population. In older patients, most deaths are attributable to non-gastric cancer-related causes, regardless of the post-resection treatment strategy. Therefore, in addition to gastric cancer-specific mortality, non-gastric cancer-related mortality and quality of life should be considered.Endoscopic submucosal dissection (ESD) techniques continue to evolve. Traction methods and multibending endoscopes are useful for achieving safe and reliable ESD in selected cases.Although no intervention has been proven effective in reducing delayed bleeding after gastric ESD in randomized controlled trials, several closure methods have shown promising results in retrospective or phase II studies. Furthermore, novel image-enhanced endoscopies may help improve the technical success of gastric ESD. This review provides an evidence-based perspective that may guide optimal management of patients with EGC.

Methods: Lateral radiographs were obtained from 100 healthy adults in standing and seated postures at 25°, 35°, and 45° recline angles. Spinal parameters (cervical lordosis, thoracic kyphosis, thoracolumbar kyphosis, lumbar lordosis, sacral slope, pelvic tilt, and T1 spinopelvic inclination) and seat belt metrics (X-value, Z-value, and lap belt angle) were measured. Multivariate regression was used to assess associations with sex, age, height, and body mass index (BMI). Results: Reclining reduced cervical/lumbar lordosis and sacral slope, while thoracic kyphosis and pelvic tilt increased. Higher BMI was associated with a cranially shifted and more horizontal lap belt. Taller individuals showed greater T1 spinopelvic inclination and pelvic parameters. Females exhibited more pronounced thoracic kyphosis and pelvic retroversion across reclining angles. Conclusions Car seat recline significantly alters spinal alignment and seat belt positioning, with changes influenced by age, height, and BMI. These findings support ergonomic improvements in seat design and may inform surgical planning for ASD.

Methods: This study included 62 patients with Lenke type 2 AIS who underwent posterior correction and fusion surgeries. The patients were categorized into the PSI and non-PSI groups based on their radiographic shoulder height 2 years after surgery. Radiographic parameters, lower end vertebra (LEV), lower instrumented vertebra (LIV), sagittal stable vertebra (SSV), postoperative DA and DJK, and Scoliosis Research Society 22 scores were compared between the two groups using unpaired t -tests or Pearson’s chi-square tests. Results: Twenty-eight patients in the PSI group and 34 in the non-PSI group were evaluated. Three patients had DA in the PSI group and 10 with DA and four with DJK in the non-PSI group. LIV–LEV was higher in the PSI group than in the non-PSI group. Although the LIV–SSV was not significantly different between the two groups, among the three patients with DJK, two had LIV–SSV of −3, one had −1, and one had 0. No significant differences in other examinations were noted between the two groups. Conclusions Although more proximal LIV selection might lead to stable DA and DJK, the LIV selection should not be extended distally to prevent DA and DJK because favorable shoulder balance and clinical outcome can still be achieved.

Purpose: We evaluated differences in global and language-local networks in post-stroke aphasia associated with aging using diffusion tensor imaging (DTI)-based connectivity. Materials and Methods: Global and local metrics were extracted from deterministic tractography in fluent (n = 19; median age 60.0 years [interquartile range, IQR, 53.0– 68.0]) and non-fluent (n = 38; median age 61.0 years [IQR, 50.0–64.8]) aphasia patients.Brain-age estimation was performed using a pre-trained deep learning model from T13D data. Chronological age and brain-age estimation were used as control factors to find the distinct patterns of network characteristics between the groups, along with other factors such as sex, time from onset, total intracranial and gray matter volume. Results: Brain structure age estimation was 66.66 years (IQR, 62.74–70.13) for fluent and 72.14 years (IQR, 66.99–76.85) for non-fluent aphasia patients. There are no significant differences in chronological age (p = 0.859), but significant differences in brain-age estimation (p = 0.004 < 0.05). Our study revealed distinct network patterns between the groups. Regarding global metrics, higher clustering coefficient values were found in fluent (median 0.0113 [IQR, 0.0101–0.0123]) compared to non-fluent individuals (median 0.0094 [IQR, 0.0090–0.0106]) with family-wise error (FWE) p-value (pFWE) < 0.05.These differences were not retained when adjusting for brain-age (pFWE > 0.05). For local metrics, there was a lower clustering coefficient at right superior temporal gyrus (STG-R) and a higher degree at left STG (STG-L) in the fluent compared to the non-fluent group (pFWE < 0.05). These differences are more pronounced when incorporating age, brain-age, and multiple comparison corrections. Conclusion We observed the central hub role of STG-L, along with signs of neurological compensation reflected in the distribution of the STG-R in aphasia. The significant difference remained robust after correction for multiple comparisons and adjustment for age and brain-age, highlighting these nodes as a key discriminator between fluent and non-fluent aphasia.

Background: This study aimed to reveal demographic data for care-dependent older adults receiving home medical care and to evaluate whether potentially inappropriate medication (PIM) prescriptions were associated with hospitalization and death. Methods: Data of healthcare and long-term care (LTC) insurance claims of older adults aged ≥65 years receiving home medical care in Kure city, Japan, in April 2017 were obtained. They included age, sex, recorded diagnosis on medical claims, level of LTC needs, and medication profile. Hospital admissions and deaths were identified between April 2017 and April 2019. Factors associated with hospitalization/death and PIM (≥1 PIM) defined by the Screening Tool of Older Persons' potentially inappropriate Prescriptions for Japanese were analyzed statistically. Results: A total of 2,052 participants (mean age 86.5±7.4 years, female 71.7%) were included. The mean number of prescribed medications was 6.6±4.3. PIM increased as LTC level became severe (8.7% for support level 1&2; 22.6% for care level 1&2; 26.0% for care level 3–5). Among PIM, H2 receptor antagonists were the most common medication (29.0%), followed by antiplatelet agents (22.6%), magnesium oxide (19.4%), non-benzodiazepine sedatives (17.7%), and benzodiazepines (16.8%). On logistic regression analysis, the number of medications, PIM, and care level 1&2 were associated with a higher likelihood of hospital admission. There was no significant correlation between each PIM and hospital admissions. Regarding death, while age was associated with a higher likelihood, female sex and severe level of disability were associated with a lower likelihood. Conclusion PIM was prevalent among homebound older adults, suggesting that careful medication review should be conducted, especially in those with disability.

Objective: DUO-E/GOG-3041/ENGOT-EN10 (NCT04269200) demonstrated statistically significant and clinically meaningful progression-free survival (PFS) improvement with durvalumab plus carboplatin/paclitaxel, followed by durvalumab with or without olaparib, vs. carboplatin/paclitaxel alone (intention-to-treat [ITT] population) in patients with newly diagnosed advanced or recurrent endometrial cancer. We evaluated efficacy and safety in the Japan subset of DUO-E. Methods: Patients with newly diagnosed International Federation of Gynecology and Obstetrics stage III/IV or recurrent endometrial cancer were randomized 1:1:1 to control arm (carboplatin/paclitaxel + durvalumab placebo [6 cycles] followed by durvalumab placebo + olaparib placebo), durvalumab arm (carboplatin/paclitaxel + durvalumab [1,120 mg every 3 weeks] [6 cycles] followed by durvalumab [1,500 mg every 4 weeks] + olaparib placebo), or durvalumab + olaparib arm (carboplatin/paclitaxel + durvalumab [6 cycles] followed by durvalumab + olaparib [300 mg twice a day]). Dual primary endpoints were investigatorassessed PFS for durvalumab and durvalumab + olaparib arms vs. control. This prespecified exploratory analysis evaluated PFS and safety in the Japan subset. Results: In the Japan subset (n=88) PFS favored durvalumab (hazard ratio=0.61, 95% confidence interval [CI]=0.32–1.12) and durvalumab + olaparib (0.44, 95% CI=0.22–0.85) vs. control; median PFS was 9.9 and 15.1 vs. 9.5 months, and the 18-month PFS rate was 37.0% and 42.1% vs. 22.2%, respectively. The safety profile in the Japan subset was generally consistent with the full safety analysis set and the established profiles of the individual agents. Conclusion Efficacy and safety in the Japan subset were generally consistent with outcomes in the DUO-E ITT population. This Japanese subset analysis of DUO-E supports carboplatin/ paclitaxel + durvalumab followed by durvalumab with or without olaparib as new treatment options in patients with advanced or recurrent endometrial cancer and is the first to report on these regimens in Japanese patients alone.

Objective: In the differential diagnosis between uterine fibroids and uterine sarcomas, realworld magnetic resonance imaging (MRI) diagnostic information is scarce; furthermore, high diagnostic sensitivity is important in clinical practice. We previously developed a diagnostic algorithm to detect uterine sarcoma with high sensitivity using simple MRI images and serum lactate dehydrogenase (LDH) levels. In this multicenter study, we investigated the preoperative diagnosis of sarcoma in the real world and further validated the usefulness of our diagnostic algorithm. Methods: Of 154 uterine sarcomas and 154 uterine fibroids treated at 15 centers between January 2006 and December 2020, 139 sarcomas (16 smooth muscle tumors of uncertain malignant potential) and 141 fibroids with diffusion-weighted imaging information were included in the analysis. The diagnostic algorithm was validated by 3 radiologists who were blinded to the clinical information and pathologic diagnoses and who read the MRIs. Results: The sensitivity/specificity of preoperative diagnosis was 77.7%/92.9% for the preoperative report; 92.1%/72.3% for algorithm A; and 82.0%/85.8% for algorithm B (McNemar’s test p<0.05). Comparison of overall survival rates among 3 groups (Group 1: negative A, Group 2: positive A and negative B; Group 3: positive B) using algorithms A and B showed p=0.012. On multivariate analysis, stage, and serum LDH level were independent prognostic factors. Conclusion MRI is useful for preoperative diagnosis of uterine sarcoma, and the sarcoma diagnostic algorithm presented in this study is an option for diagnosing sarcoma with greater sensitivity. This information should be shared with patients.