The time sensitive and dose-responsive association between parental corporal punishment and sleep disturbances in preschoolers: A prospective cohort study.

BACKGROUND: To examine whether parental corporal punishment is associated with increased risk of concurrent and later sleep disturbances among preschoolers, and whether the association is time-sensitive or dose-responsive. METHODS: This 3-year prospective cohort study used data from the Shanghai Children's Health, Education and Lifestyle Evaluation, Preschool(SCHEDULE-P). Participants were newly enrolled preschoolers in November 2016(wave 1) and followed up in April 2018(wave 2) and April 2019(wave 3). Parents reported the children's corporal punishment experiences and sleep disturbances at each wave survey. Children's risk of sleep disturbances in relation to corporal punishment was examined using logistic regression, adjusting for children's age, gender, emotional/behavioral problems, family annual income, and maternal educational level. RESULTS: The participants of 19,668 children included 9436(47.98 %) females, with a mean age of 3.73(SD = 0.29) years at wave 1. Exposure to corporal punishment was associated with increased odds of concurrent sleep disturbances at wave 1, 2, and 3 (aOR,1.57; 95 % CI, 1.40-1.75; P < .001; aOR,1.60; 95 % CI, 1.43-1.80; P < .001; aOR,1.74; 95 % CI, 1.54-1.95; P < .001), respectively. Exposure to corporal punishment at any wave of preschool was associated with increased odds of sleep disturbances at wave 3, and the risks were greater for proximal and accumulative corporal punishment exposure. CONCLUSION: There is a time-sensitive and dose-responsive association between corporal punishment and sleep disturbance among preschoolers, with greater risk of sleep disturbances for proximal and accumulative exposure of corporal punishment. Promoting positive parenting strategies and avoiding corporal punishment can be a promising strategy to prevent and intervene sleep disturbances in preschoolers.

Choosing the Adaptive Cardiac Phase for Assessing Cardiac Dimensions Using Cardiac Computed Tomography for Heart Disease.

Background: Cardiac chamber dimensions and left ventricle (LV) wall thickness change with the cardiac cycle, in which researchers have set different time points for systole and diastole. OBJECTIVE: This study aimed to provide characteristics of normal heart and choose the correct cardiac cycle to measure maximum cardiac parameters for cardiovascular disease. METHODS: The parameters of left atrium (LA), LV, right atrium (RA), and right ventricle (RV), as well as the wall thickness of LV, were measured in different cardiac phases using cardiac computed tomography (CT). Then, their differences in different phases and the correlation between these parameters and traditional risk factors were analyzed. In addition, receiver operator characteristic curve (ROC) analyses was performed to estimate LA enlargement. RESULTS: The dimensions of LA and RA as well as the wall thickness of LV reached the maximum at the phase of 35% - 45%, while the dimensions of LV and RV reached the maximum at 95% - 5%. However, the changes of LA-B (antero-posterior diameter), LV-D1 (basal dimension), RA-B (minor dimension), and RV-D2 (mid cavity dimension) were relatively more stable than other diameters during the cardiac cycle. The maximum LA-B diameter, LV-D1 diameter, RA-B diameter, and RV-D2 diameter as well as the maximum interventricular septum thickness were acquired. Heart rate (HR) and smoking were potential indicators of LV-D2 (mid cavity dimension), while HR and LV myocardial mass were potential indicators of LV-D3 (apical-basal dimension). In phase 45%, the cut-off value of LA-B was 37.12 mm, with high sensitivity for predicting LA enlargement. CONCLUSION: Choosing the adaptive cardiac phase for evaluating cardiac chamber dimensions and wall thickness obtained by cardiac CT could provide a more accurate clinical measurement of the heart.

Insufficient Sleep is Associated With Increasing Trends in Adolescent Suicidal Behaviors.

PURPOSE: Youth suicide has been increasing and became a public health concern worldwide. Identifying insufficient sleep as the potential risk factor is critical to reducing suicide risk and increasing trends. This study aimed to determine whether insufficient sleep is associated with increasing trends in suicidal behaviors and disparities by sex, age, and race/ethnicity among school adolescents. METHODS: The present study used biennial data from the US nationally representative Youth Risk Behavior Survey from 2007 to 2019. Joinpoint regression models were used to estimate biennial percent changes (BPCs) and average BPCs (ABPCs) of suicidal behaviors by sleep duration. Logistic regression models were used to examine the association between insufficient sleep and suicidal behaviors. RESULTS: Of 73,356 adolescent students included (mean [standard deviation] age, 16.11 [1.23] years), 50.03% were female. Suicidal ideation and suicide plan among insufficient sleep group increased from 2007 to 2019 (BPC = 2.88% [95% confidence interval {CI}: 1.65%, 4.13%]; BPC = 3.42% [95% CI: 2.09%, 4.77%]), but were nonsignificant among sufficient sleep group. Trends in suicidal ideation (ABPC = 3.03% [95% CI: 1.35%, 4.73%]) and suicide plan (ABPC = 4.03% [95% CI: 2.47%, 5.62%]) among female adolescents with insufficient sleep increased, but nonsignificant among male adolescents with insufficient sleep. Suicidal ideation (ABPC = 1.73% [95% CI: 0.51%, 2.97%]) and suicide plan (ABPC = 2.31% [95% CI: 0.70%, 3.95%]) increased among younger adolescents only with insufficient sleep, whereas suicide trends by sleep duration were similar among older adolescents. Suicide plan among insufficient sleep group increased across the four racial groups, with BPC highest for the White (BPC = 3.48% [95% CI: 1.31%, 5.69%]), and lowest for the Hispanic/Latino (BPC = 1.18% [95% CI: 0.15%, 2.23%]), but were nonsignificant among sufficient sleep group except for the White (BPC = 2.83% [95% CI: 0.62%, 5.09%]). DISCUSSION: Insufficient sleep was disproportionately associated with increasing trends in suicidal behaviors among female, younger, and non-White adolescent students. Ensuring sufficient sleep can potentially reduce suicide among school adolescents.

Trends in gynaecologic cancer mortality and the impact of the COVID-19 pandemic in the United States.

OBJECTIVES: Our aim was to assess the trend in gynaecologic cancer (GC) mortality in the period from 2010 to 2022 in the United States, with focus on the impact of the pandemic on increased deaths. METHODS: GC mortality data were extracted from the Center for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) platform. We analysed mortality trends and evaluated observed vs. predicted mortality for the period from 2020 to 2022 with joinpoint regression and prediction modelling analyses. RESULTS: A total of 334,382 deaths among adults aged 25 years and older with gynaecologic cancer were documented from 2010 to 2022. The overall age-standardised mortality rate (ASMR, per 100,000 persons) for ovarian cancer-related death decreased gradually from 7.189 in 2010 to 5.517 in 2019, yielding an APC (annual percentage change) of -2.8%. However, the decrease in ovarian cancer-related mortality slowed down by more than 4-fold during the pandemic. Cervical cancer -related mortality decreased slightly prior to the pandemic and increased during the pandemic with an APC of 0.6%, resulting in excess mortality of 4.92%, 9.73% and 2.03% in 2020, 2021 and 2022, respectively. For uterine corpus cancer, the ASMR increased from 1.905 in 2010 to 2.787 in 2019, and increased sharply to 3.079 in 2021 and 3.211 in 2022. The ASMR rose steadily between 2013 and 2022, yielding an APC of 6.9%. CONCLUSIONS: Overall, we found that GC-related mortality increased during the COVID-19 pandemic, and this increase was not specific to age, race, or ethnicity.

Superbinder based phosphoproteomic landscape revealed PRKCD_pY313 mediates the activation of Src and p38 MAPK to promote TNBC progression.

Phosphorylation proteomics is the basis for the study of abnormally activated kinase signaling pathways in breast cancer, which facilitates the discovery of new oncogenic agents and drives the discovery of potential targets for early diagnosis and therapy of breast cancer. In this study, we have explored the aberrantly active kinases in breast cancer development and to elucidate the role of PRKCD_pY313 in triple negative breast cancer (TNBC) progression. We collected 47 pairs of breast cancer and paired far-cancer normal tissues and analyzed phosphorylated tyrosine (pY) peptides by Superbinder resin and further enriched the phosphorylated serine/threonine (pS/pT) peptides using TiO2 columns. We mapped the kinases activity of different subtypes of breast cancer and identified PRKCD_pY313 was upregulated in TNBC cell lines. Gain-of-function assay revealed that PRKCD_pY313 facilitated the proliferation, enhanced invasion, accelerated metastasis, increased the mitochondrial membrane potential and reduced ROS level of TNBC cell lines, while Y313F mutation and low PRKCD_pY313 reversed these effects. Furthermore, PRKCD_pY313 significantly upregulated Src_pY419 and p38_pT180/pY182, while low PRKCD_pY313 and PRKCD_Y313F had opposite effects. Dasatinib significantly inhibited the growth of PRKCD_pY313 overexpression cells, and this effect could be enhanced by Adezmapimod. In nude mice xenograft model, PRKCD_pY313 significantly promoted tumor progression, accompanied by increased levels of Ki-67, Bcl-xl and Vimentin, and decreased levels of Bad, cleaved caspase 3 and ZO1, which was opposite to the trend of Y313F group. Collectively, the heterogeneity of phosphorylation exists in different molecular subtypes of breast cancer. PRKCD_pY313 activates Src and accelerates TNBC progression, which could be inhibited by Dasatinib.

18 F-FDG PET/CT Imaging of Prostatic Epithelioid Hemangioendothelioma.

ABSTRACT: Epithelioid hemangioendothelioma of the prostate is a rare malignant vasogenic tumor. We report a case of epithelioid hemangioendothelioma of the prostate in a 65-year-old man with lymph nodes and lung metastases on 18 F-FDG PET/CT imaging. The patient presented with symptoms of frequent and urgent urination. On 18 F-FDG PET/CT, intense FDG uptake was observed in the prostate mass along with multiple FDG-avid lesions involving the lung and lymph nodes. Histopathological examination confirmed epithelioid hemangioendothelioma in both the prostate mass and lung nodule.

Sleep Disturbances and Emotional and Behavioral Difficulties Among Preschool-Aged Children.

Importance: Sleep disturbances and mental health problems are highly comorbid and bidirectionally correlated across childhood. The association between the natural history of sleep disturbances and the transition of mental health problems has not been quantified. Objective: To examine the association between the natural history of sleep disturbances and resolved and incident emotional and behavioral difficulties (EBDs). Design, Setting, and Participants: This cohort study used data from the Shanghai Children's Health, Education and Lifestyle Evaluation-Preschool (SCHEDULE-P), a prospective and population-based longitudinal cohort study of children enrolled in preschools in Shanghai, China, from November 10 to 24, 2016. A total of 20 324 children aged 3 to 4 years were recruited from the junior class of 191 kindergartens, of whom 17 233 (84.8%) participated in the 2-year follow-up. A multilevel regression model was used to evaluate the association between the development of sleep disturbances and the occurrence of resolved and incident EBDs. The data analysis spanned from August 4, 2021, to October 31, 2023. Exposures: Sleep disturbances were assessed using the Children's Sleep Habit Questionnaire; EBDs were assessed using the Strengths and Difficulties Questionnaire. Main Outcomes and Measures: Occurrence of incident and resolved EBDs at the 2-year follow-up. Results: The cohort included 17 182 participants, with a mean (SD) age of 3.73 (0.29) years at enrollment; 52.0% were boys. The prevalence of EBDs at school entry and graduation years was 27.8% and 18.7%, respectively, while the prevalence of sleep disturbances was 41.3% and 31.5%, respectively. Among those with EBDs at the entry year, 35.0% maintained stability in the graduation year, while sleep disturbances were stable in 50.0% of those with sleep disturbances. After controlling for confounding factors, the odds ratio (OR) for resolved EBDs was lower in the incident sleep disturbance (ISD) group (OR, 0.50 [95% CI, 0.41-0.62]; P < .001) and stable sleep disturbance (SSD) group (OR, 0.47 [95% CI, 0.40-0.56]; P < .001) compared with the group with no sleep disturbances. The ORs for incident EBDs among the ISD group (OR, 2.58 [95% CI, 2.22-3.01]; P < .001) and SSD group (OR, 2.29, [95% CI, 1.98-2.64]; P < .001) were higher than among the group with no sleep disturbances. Conclusions and Relevance: In this prospective cohort study, the natural history of sleep disturbances among preschool-aged children was associated with both resolved and incident EBDs. Routine screening and precise intervention for sleep disturbances may benefit the psychosocial well-being of this population.

Renal Interstitial Fibrosis Detected on 18F-AlF-NOTA-FAPI-04 PET/CT in a Patient With Multiple Myeloma.

ABSTRACT: 18F-AlF-NOTA-FAPI-04 PET/CT was performed on a 58-year-old woman newly diagnosed with multiple myeloma and acute renal insufficiency. 18F-AlF-NOTA-FAPI-04 PET/CT showed increased FAPI uptake in multiple osteolytic lesions and both kidneys. Subsequent renal aspiration biopsy confirmed renal interstitial fibrosis due to subacute tubular interstitial injury. This case suggests that 18F-AlF-NOTA-FAPI-04 PET/CT may be valuable in the evaluation of renal interstitial fibrosis in patients with multiple myeloma.

Solitary Axillary Lymph Node Metastasis From Bladder Cancer Detected by FDG PET/CT.

ABSTRACT: Solitary axillary lymph node metastasis from bladder cancer is rare. A 65-year-old woman with a history of bladder urothelial carcinoma presented to our hospital with an axillary mass. No abnormal lesion in FDG PET/CT was identified except a solitary soft tissue mass with significant FDG uptake in the right axilla. Puncture pathology of the mass confirmed the metastasis of differentiated urothelial carcinoma.

Artificial Intelligence-Assisted Left Ventricular Diastolic Function Assessment and Grading: Multiview Versus Single View.

BACKGROUND: Clinical assessment and grading of left ventricular diastolic function (LVDF) requires quantification of multiple echocardiographic parameters interpreted according to established guidelines, which depends on experienced clinicians and is time consuming. The aim of this study was to develop an artificial intelligence (AI)-assisted system to facilitate the clinical assessment of LVDF. METHODS: In total, 1,304 studies (33,404 images) were used to develop a view classification model to select six specific views required for LVDF assessment. A total of 2,238 studies (16,794 two-dimensional [2D] images and 2,198 Doppler images) to develop 2D and Doppler segmentation models, respectively, to quantify key metrics of diastolic function. We used 2,150 studies with definite LVDF labels determined by two experts to train single-view classification models by AI interpretation of strain metrics or video. The accuracy and efficiency of these models were tested in an external data set of 388 prospective studies. RESULTS: The view classification model identified views required for LVDF assessment with good sensitivity (>0.9), and view segmentation models successfully outlined key regions of these views with intersection over union > 0.8 in the internal validation data set. In the external test data set of 388 cases, AI quantification of 2D and Doppler images showed narrow limits of agreement compared with the two experts (e.g., left ventricular ejection fraction, -12.02% to 9.17%; E/e' ratio, -3.04 to 2.67). These metrics were used to detect LV diastolic dysfunction (DD) and grade DD with accuracy of 0.9 and 0.92, respectively. Concerning the single-view method, the overall accuracy of DD detection was 0.83 and 0.75 by strain-based and video-based models, and the accuracy of DD grading was 0.85 and 0.8, respectively. These models could achieve diagnosis and grading of LVDD in a few seconds, greatly saving time and labor. CONCLUSION: AI models successfully achieved LVDF assessment and grading that compared favorably with human experts reading according to guideline-based algorithms. Moreover, when Doppler variables were missing, AI models could provide assessment by interpreting 2D strain metrics or videos from a single view. These models have the potential to save labor and cost and to facilitate work flow of clinical LVDF assessment.

Estimates of bladder cancer burden attributable to high fasting plasma glucose: Findings of the Global Burden of Disease Study 2019.

BACKGROUND: High fasting plasma glucose (FPG) has been listed as one of the risk factors for bladder cancer. We here estimated the global, regional, and national levels of bladder cancer burden attributable to high FPG from 1990 to 2019. METHODS: Bladder cancer data attributable to high FPG were extracted from the Global Burden of Disease Study 2019, and analyzed by age, sex, year, and location. Age-standardized rates were utilized to evaluate the burden between different populations. The temporal trend of the burden was estimated through the Joinpoint analysis. RESULTS: In 2019, high FPG contributed to 22,823.33 (95% uncertainty interval [UI], 4694.88-48,962.26) deaths and 399,654.91 (95% UI, 81,609.35-865,890.95) disability-adjusted life years (DALYs) of bladder cancer globally. Since 1990, the global age-standardized death and DALY rates of bladder cancer attributable to high FPG increased apparently by 39.18% and 41.48%, respectively. During the last 30 years, high FPG-related age-standardized death and DALY rates of bladder cancer have increased in all countries. In 2019, Central Europe showed the greatest high FPG-related age-standardized death and DALY rates of bladder cancer, but Andean Latin America had the lowest rates. Nationally, Lebanon showed the greatest high FPG-related age-standardized death and DALY rates of bladder cancer in 2019. High FPG-attributable deaths and DALYs of bladder cancer were more considerable among males and older people. Countries with high SDI showed higher levels of age-standardized death and DALY rates of bladder cancer due to high FPG and presented remarkable upward trends in rates in the last 30 years. CONCLUSIONS: Globally, the high FPG-associated bladder cancer burden has remarkably increased in all countries, and showed a higher level among countries with higher SDI. Monitoring FPG levels among patients with bladder cancer is critical to lower the corresponding burden.

False-Positive Radioactive Iodine Uptake Caused by Cervical Myofascitis in a Patient With Differentiated Thyroid Carcinoma.

ABSTRACT: A 31-year-old woman with a history of papillary thyroid cancer underwent ablative 131I therapy. Posttherapeutic whole-body 131I scintigraphy revealed abnormally increased activity in the neck. Additional SPECT/CT images localized the activity in the bilateral peripheral fascia of the platysma.

Echocardiography-based AI for detection and quantification of atrial septal defect.

Objectives: We developed and tested a deep learning (DL) framework applicable to color Doppler echocardiography for automatic detection and quantification of atrial septal defects (ASDs). Background: Color Doppler echocardiography is the most commonly used non-invasive imaging tool for detection of ASDs. While prior studies have used DL to detect the presence of ASDs from standard 2D echocardiographic views, no study has yet reported automatic interpretation of color Doppler videos for detection and quantification of ASD. Methods: A total of 821 examinations from two tertiary care hospitals were collected as the training and external testing dataset. We developed DL models to automatically process color Doppler echocardiograms, including view selection, ASD detection and identification of the endpoints of the atrial septum and of the defect to quantify the size of defect and the residual rim. Results: The view selection model achieved an average accuracy of 99% in identifying four standard views required for evaluating ASD. In the external testing dataset, the ASD detection model achieved an area under the curve (AUC) of 0.92 with 88% sensitivity and 89% specificity. The final model automatically measured the size of defect and residual rim, with the mean biases of 1.9 mm and 2.2 mm, respectively. Conclusion: We demonstrated the feasibility of using a deep learning model for automated detection and quantification of ASD from color Doppler echocardiography. This model has the potential to improve the accuracy and efficiency of using color Doppler in clinical practice for screening and quantification of ASDs, that are required for clinical decision making.

Incidental Detection of Ilium Langerhans Cell Histiocytosis on 99m Tc-DTPA Renal Dynamic Scintigraphy.

ABSTRACT: We report the case of a 24-year-old man who underwent 99m Tc-DTPA scintigraphy for the evaluation the renal function. This scan incidentally showed an abnormal uptake of 99m Tc-DTPA in the left lower abdominal region. SPECT/CT fusion images showed osteolytic bone destruction in the left ilium associated with soft tissue mass and elevated DTPA uptake. Biopsy pathology of the ilium lesion demonstrated Langerhans cell histiocytosis.

Values of new ultrasonic imaging methods for the diagnosis of apical Takotsubo syndrome.

Background: Takotsubo syndrome (TTS) is a multifactorial disease contributed to by several pathological factors. It is characterized by transient left ventricular dysfunction, and patients with TTS can spontaneously recover within days or weeks. This study's objective was to investigate the ultrasonic characteristics of TTS during different periods and assess the clinical application value of real-time 3-dimensional echocardiography (RT-3DE) and speckle tracking imaging (STI) in TTS. Methods: In this prospective cohort study, the patients with apical TTS were evaluated by echocardiography on admission (within 1-3 days) and after 4 and 8 weeks. RT-3DE was performed to observe the structure and function of the left ventricle (LV). LV end-diastolic volume (LVEDV), end-systolic volume (LVESV), stroke volume (LVSV), and ejection fraction (LVEF) were calculated. The longitudinal peak systolic strain (LPSS) of all LV myocardial segments was acquired by 2D STI. For comparison, 20 healthy individuals were included as normal controls. Results: A total of 16 patients with TTS were included. Their LV was characterized as an "octopus pot" in morphology with obvious hypokinesis on admission. The LVEDV, LVESV, LVSV, and LVEF were 84.23±10.67, 55.94±8.51, 28.31±8.06 mL, and 33.59%±4.12%, respectively, in patients with TTS on admission with a significant difference from those of the controls (P=0.005, P<0.001, P<0.001, and P<0.001, respectively). A definite improvement was found upon follow-up, with these parameters even returning to normal morphology after 8 weeks. The LVEDV, LVESV, LVSV, and LVEF were 75.79±6.86, 28.05±4.33, 47.81±3.57 mL, and 63.02%±3.92%, respectively, in TTS patients after 8 weeks with no significant difference from those of the controls (P=0.907, P=0.235, P=0.162, and P=0.052, respectively). A significant decrease in LPSS was also found in patients with TTS on admission. In the eighth week of follow-up, the LPSS of the apical and middle segments in TTS patients remained significantly decreased compared with that of the normal controls (-18.54%±4.69% vs. -24.29%±3.46%, P<0.001; -19.38%±2.88% vs. -22.36%±3.23%, P<0.001), but that of the basal segments in TTS patients returned to normal and there was no significant differences from the normal controls (-20.75%±2.91% vs. -21.51%±2.85%; P=0.055). Conclusions: RT-3DE and STI played an indispensable role in visually and quantitatively inspecting the abnormalities of patients with TTS, including in diagnosis and follow-up.

A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection.

Echocardiography is the first-line diagnostic technique for heart diseases. Although artificial intelligence techniques have made great improvements in the analysis of echocardiography, the major limitations remain to be the built neural networks are normally adapted to a few diseases and specific equipment. Here, we present an end-to-end deep learning framework named AIEchoDx that differentiates four common cardiovascular diseases (Atrial Septal Defect, Dilated Cardiomyopathy, Hypertrophic Cardiomyopathy, prior Myocardial Infarction) from normal subjects with performance comparable to that of consensus of three senior cardiologists in AUCs (99.50% vs 99.26%, 98.75% vs 92.75%, 99.57% vs 97.21%, 98.52% vs 84.20%, and 98.70% vs 89.41%), respectively. Meanwhile, AIEchoDx accurately recognizes critical lesion regions of interest along with each disease by visualizing the decision-making process. Furthermore, our analysis indicates that heterogeneous diseases, like dilated cardiomyopathy, could be classified into two phenogroups with distinct clinical characteristics. Finally, AIEchoDx performs efficiently as an anomaly detection tool when applying handheld device-produced videos. Together, AIEchoDx provides a potential diagnostic assistant tool in either cart-based echocardiography equipment or handheld echocardiography device for primary and point-of-care medical personnel with high diagnostic performance, and the application of lesion region identification and heterogeneous disease phenogrouping, which may broaden the application of artificial intelligence in echocardiography.

Umbilical Endometriosis Mimicking Malignancy on 18 F-FDG PET/CT.

ABSTRACT: Umbilical endometriosis is a rare event. A 44-year-old woman complained of a palpable abdominal mass with bloody secretion and chronic abdominal pain for 2 months. 18 F-FDG PET/CT images demonstrated multiple foci of increased tracer uptake indicating malignant tumor with metastases in the region of umbilicus and lower segment of the esophagus. Unexpectedly, the subsequent histology and immunohistochemistry of the umbilical lesion demonstrated endometriosis.

The effects of maternal prenatal depression on child mental health: The moderating role of maternal childhood trauma.

BACKGROUND: There is a large body of evidence suggesting that maternal prenatal depression significantly predicts mental health problems in children. However, little is known about the role of maternal childhood trauma within this effect. METHODS: The current study utilized a sample of 187 mother-child dyads (51.3 % boys) from the Shanghai Sleep Birth Cohort (SSBC), a six-year prospective longitudinal study. The effects of maternal depression at late pregnancy (Center for Epidemiological Survey-Depression Scale) on the child mental health at six years old (Strengths and Difficulties Questionnaire) were analyzed, with different types of maternal childhood trauma (Childhood Trauma Questionnaire) being examined as moderators. RESULTS: The results showed that maternal prenatal depression positively predicted child mental health problems (ß = 0.13, p < .05) and there was a significant moderating effect of maternal childhood emotional abuse (ß = -0.05, p < .05); that is, in mothers with high childhood emotional abuse, child mental health problems remained high regardless of maternal prenatal depression (ß = -0.02, p = .78), while in mothers with low childhood emotional abuse, maternal prenatal depression significantly predicted child behavioral and emotional problems (ß = 0.20, p < .05). LIMITATIONS: Relatively high socio-economic status samples, retrospective reports of maternal childhood trauma and the single reporter were the limitations of this study. CONCLUSIONS: The findings provided new insights into the impact of maternal prenatal depression on child mental health, highlighting the importance of intervention efforts targeting mothers with prenatal depression and childhood trauma history.

Primary Neuroendocrine Carcinoma of Pineal Gland With Extensive Meningeal Metastasis Detected by 18F-NOTATATE PET/CT.

ABSTRACT: Primary neuroendocrine tumor of the pineal gland is a rare disease. A 44-year-old woman with right cerebellopontine angle metastatic small cell neuroendocrine carcinoma underwent 18F-FDG and 18F-NOTATATE PET/CT scans. 18F-NOTATATE PET/CT showed intense uptake in the pineal gland lesions and multiple foci of intense focus of uptake in the intracranial leptomeningeal and whole spinal canal. However, the lesions are less impressive on 18F-FDG PET/CT.