[Study on liver tissue derived-extracellular vesicles regulating the osteogenic differentiation ability of mesenchymal stem cells and promoting the healing of jaw bone defects]

Objective: To explore the biological process of liver tissue-derived extracellular vesicle (LT-EV) in promoting osteogenic differentiation of mesenchymal stem cells and healing of jaw defects to provide a feasible treatment method for the clinical treatment of jaw bone defects. Methods: Enzymatic hydrolysis and differential centrifugation were used to extract LT-EV, scanning electron microscopy, Western blotting, and nanoparticle tracking analyzers were used to identify and characterize LT-EV, and further to explore the biological functions of LT-EV through proteomics and Kyoto Encyclopedia of Genes and Genomes. Flow cytometry was used to detect LT-EV plasma concentration and to calculate the plasma half-life of LT-EV. Small animal in vivo imaging system was used to detect the biological distribution of LT-EV 24 hours after injection. Six C57BL/6 mice were divided into control group and LT-EV group (3 mice in each group) by simple random sampling method. All mice underwent jaw bone defect surgery and tail vein injection every 7 days (the control group was injected with phosphoric buffer saline, LT-EV group was injected with LT-EV), micro-CT was used to evaluate the degree of mouse jaw bone healing 28 days after surgery, HE staining was used to analyze the multi-organ biosafety of LT-EV, and immunofluorescence staining was used to detect the jaw bone expression of osteogenic marker proteins in the defect area. Human jaw bone mesenchymal stem cells (hJBMSC) induced by osteogenic differentiation were treated with LT-EV (obtained from orthognathic surgery patients provided by the Department of Traumatology and Orthognathic Surgery of School of Stomatology of The Fourth Military Medical University resected normal jaw bone fragments), and the difference in osteogenic differentiation ability between the hJBMSC group and the control group (phosphate buffer saline treatment) was compared, and the in vitro bone differentiation promoting effect of LT-EV was verified through alkaline phosphatase (ALP) staining and real-time fluorescence quantitative PCR. Results: The yield of LT-EV was high, and proteomics and Kyoto Encyclopedia of Genes and Genomes showed that LT-EV contained a series of proteins that regulated cell biological functions. LT-EV injected into the tail vein could reach the mouse jaw bone defect area and promote the regeneration and repair of the jaw bone defect [the bone volume fractions of the LT-EV group and the control group were (36.06±4.20)% and (18.58±5.61)%, respectively; t=4.32, P=0.013], and had good biosafety. LT-EV could promote osteogenic differentiation of hJBMSC in vitro. Compared to the control group, ALP staining and osteogenic gene expression levels were significantly enhanced after osteogenic differentiation of hJBMSC (P<0.05). Conclusions: LT-EV exhibits a high yield, ease of acquisition, high biological safety, and excellent bone-promoting effects. It holds promise as a novel cell-free therapy strategy for regenerating craniofacial bone defects.

Psychosocial Adjustment as a Mediator in the Relationship between Childhood Exposure to Maternal Depression and Subsequent BMI and Overweight Risk

OBJECTIVES

This study investigated the correlation between early exposure to maternal depression (from 1 month to Grade 3) and the body mass index (BMI) and potential for overweight in adolescents at age 15. It further examined if the pathway of this correlation was influenced by psychosocial adjustment during mid-childhood (Grade 3 to Grade 6), specifically through internalizing and externalizing behaviors.

METHODS

Our study utilized data from 844 participants in the NICHD Study of Early Child Care and Youth Development (SECCYD) to assess the effects of maternal depression, observed from when the children were one month old to Grade 3, on BMI and the likelihood of overweight or obesity in adolescents aged 15. We also explored whether the average scores of internalizing and externalizing behaviors between Grades 3 and 6 mediated the impact of early maternal depressive symptoms on subsequent health outcomes. The analysis was adjusted for demographic and socioeconomic factors.

RESULTS

Findings revealed that internalizing and externalizing behavioral issues significantly mediated the relationship between prolonged maternal depression exposure and subsequent BMI, as well as the risk of overweight or obesity, in adolescents at age 15. Notably, this mediating effect was predominantly evident in girls.

CONCLUSIONS

Our research demonstrated that the correlation between prolonged exposure to maternal depressive symptoms in childhood and increased BMI and overweight risk in adolescence was significantly mediated through psychosocial adjustment behaviors. We advocate for further exploration of additional mediating factors in future studies.

Investigating the role of imaging factors in the variability of CT-based texture analysis metrics

OBJECTIVE

This study assesses the robustness of first-order radiomic texture features namely interquartile range (IQR), coefficient of variation (CV) and standard deviation (SD) derived from computed tomography (CT) images by varying dose, reconstruction algorithms and slice thickness using scans of a uniform water phantom, a commercial anthropomorphic liver phantom, and a human liver in-vivo.

MATERIALS AND METHODS

Scans were acquired on a 16 cm detector GE Revolution Apex Edition CT scanner with variations across three different nominal slice thicknesses: 0.625, 1.25, and 2.5 mm, three different dose levels: CTDIvol of 13.86 mGy for the standard dose, 40% reduced dose and 60% reduced dose and two different reconstruction algorithms: a deep learning image reconstruction (DLIR-high) algorithm and a hybrid iterative reconstruction (IR) algorithm ASiR-V50% (AV50) were explored, varying one at a time. To assess the effect of non-linear modifications of images by AV50 and DLIR-high, images of the water phantom were also reconstructed using filtered back projection (FBP). Quantitative measures of IQR, CV and SD were extracted from twelve pre-selected, circular (1 cm diameter) regions of interest (ROIs) capturing different texture patterns across all scans.

RESULTS

Across all scans, imaging, and reconstruction settings, CV, IQR and SD were observed to increase with reduction in dose and slice thickness. An exception to this observation was found when using FBP reconstruction. Lower values of CV, IQR and SD were observed in DLIR-high reconstructions compared to AV50 and FBP. The Poisson statistics were more stringently noted in FBP than DLIR-high and AV50, due to the non-linear nature of the latter two algorithms.

CONCLUSION

Variation in image noise due to dose reduction algorithms, tube current, and slice thickness show a consistent trend across phantom and patient scans. Prospective evaluation across multiple centers, scanners and imaging protocols is needed for establishing quality assurance standards of radiomics.

Technical and clinical considerations of a physical liver phantom for CT radiomics analysis

OBJECTIVE

This study identifies key characteristics to help build a physical liver computed tomography (CT) phantom for radiomics harmonization; particularly, the higher-order texture metrics.

MATERIALS AND METHODS

CT scans of a radiomics phantom comprising of 18 novel 3D printed inserts with varying size, shape, and material combinations were acquired on a 64-slice CT scanner (Brilliance 64, Philips Healthcare). The images were acquired at 120 kV, 250 mAs, CTDIvol of 16.36 mGy, 2 mm slice thickness, and iterative noise-reduction reconstruction (iDose, Philips Healthcare, Andover, MA). Radiomics analysis was performed using the Cancer Imaging Phenomics Toolkit (CaPTk), following automated segmentation of 3D regions of interest (ROI) of the 18 inserts. The findings were compared to three additional ROI obtained of an anthropomorphic liver phantom, a patient liver CT scan, and a water phantom, at comparable imaging settings. Percentage difference in radiomic metrics values between phantom and tissue was used to assess the biological equivalency and <10% was used to claim equivalent.

RESULTS

The HU for all 18 ROI from the phantom ranged from -30 to 120 which is within clinically observed HU range of the liver, showing that our phantom material (T3-6B) is representative of biological CT tissue densities (liver) with >50% radiomic features having <10% difference from liver tissue. Based on the assessment of the Neighborhood Gray Tone Difference Matrix (NGTDM) metrics it is evident that the water phantom ROI show extreme values compared to the ROIs from the phantom. This result may further reinforce the difference between a structureless quantity such as water HU values and tissue HU values found in liver.

CONCLUSION

The 3-D printed patterns of the constructed radiomics phantom cover a wide span of liver tissue textures seen in CT images. Using our results, texture metrics can be selectively harmonized to establish clinically relevant and reliable radiomics panels.

Pseudocirrhosis: A Case Series with Clinical and Radiographic Correlation and Review of the Literature

BACKGROUND AND AIMS

Pseudocirrhosis is a poorly understood acquired morphologic change of the liver that occurs in the setting of metastatic malignancy and radiographically resembles cirrhosis. Pseudocirrhosis has been primarily described in metastatic breast carcinoma, with few case reports arising from other primary malignancies. We present 29 cases of pseudocirrhosis, including several cases from primary malignancies not previously described.

METHODS

Radiologic, clinical, demographic, and biomedical data were collected retrospectively and analyzed. We compared clinical and radiologic characteristics and outcomes between patients with pseudocirrhosis arising in metastatic breast cancer and non-breast primary malignancies.

RESULTS

Among the 29 patients, 14 had breast cancer and 15 had non-breast primaries including previously never reported primaries associated with pseudocirrhosis, melanoma, renal cell carcinoma, appendiceal carcinoid, and cholangiocarcinoma. Median time from cancer diagnosis to development of pseudocirrhosis was 80.8 months for patients with primary breast cancer and 29.8 months for non-breast primary (p = 0.02). Among all patients, 15 (52%) had radiographic features of portal hypertension. Radiographic evidence of portal hypertension was identified in 28.6% of breast cancer patients, compared to 73.3% of those with non-breast malignancies (p = 0.03).

CONCLUSION

Pseudocirrhosis has most commonly been described in the setting of metastatic breast cancer but occurs in any metastatic disease to the liver. Our study suggests that portal hypertensive complications are more common in the setting of non-breast primary cancers than in metastatic breast cancer. Prior exposure to multiple chemotherapeutic agents, and agents known to cause sinusoidal injury, is a common feature but not essential for the development of pseudocirrhosis.

Diversity in Renal Mass Data Cohorts: Implications for Urology AI Researchers

Objective We examine the heterogeneity and distribution of the cohort populations in two publicly used radiological image cohorts, Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCIA TCGA KIRC) collection and 2019 MICCAI Kidney Tumor Segmentation Challenge (KiTS19), and deviations in real world population renal cancer data from National Cancer Database (NCDB) Participant User Data File (PUF) and tertiary center data. PUF data is used as an anchor for prevalence rate bias assessment. Specific gene expression and therefore biology of RCC differ by self-reported race especially between the African American and Caucasian population. AI algorithms learn from datasets, but if the dataset misrepresents the population, reinforcing bias may occur. Ignoring these demographic features may lead to inaccurate downstream effects, thereby limiting the translation of these analyses to clinical practice. Consciousness of model training biases is vital to patient care decisions when using models in clinical settings. Method Data evaluated included the gender, demographic and reported pathologic grading and cancer staging. American Urological Association risk levels were used. Poisson regression was used to estimate the population-based and sample specific estimation for prevalence rate and corresponding 95% confidence interval. SAS 9.4 was used for data analysis. Result Compared to PUF, KiTS19 and TCGA KIRC over sampled Caucasian by 9.5% (95% CI, -3.7% to 22.7%) and 15.1% (95% CI, 1.5% to 28.8%), under sampled African American by -6.7% (95% CI, -10% to -3.3%), -5.5% (95% CI, -9.3% to -1.8%). Tertiary also under sampled African American by -6.6% (95% CI, -8.7% to -4.6%). The tertiary cohort largely under sampled aggressive cancers by -14.7% (95% CI, -20.9% to -8.4%). No statistically significant difference was found among PUF, TCGA, and KiTS19 in aggressive rate, however heterogeneities in risk are notable. Conclusion Heterogeneities between cohorts need to be considered in future AI training and cross-validation for renal masses.

Exploration of gastric carcinogenesis from the relationship between bile acids and intestinal metaplasia and intragastric microorganisms (H. pylori and non-H. pylori)

Gastric cancer (GC) is a prevalent form of cancer, with Helicobacter pylori (H. pylori) infection being the most common risk factor. Recent studies have highlighted the role of long-term irritation of the gastric mucosa caused by bile reflux in the development of cancer. Bile acids (BAs), which are a significant component in bile reflux, have the potential to promote gastric carcinogenesis through various mechanisms. These mechanisms include the induction of intestinal metaplasia (IM), inhibition of H. pylori activity, modification of H. pylori colonization, and alteration of the abundance and composition of microorganisms in the stomach. Defining the mechanism of bile acid-induced gastric carcinogenesis could potentially be an effective approach to prevent GC. Hence, this paper aims to review the mechanism of bile acid-induced IM, the association between BAs and H. pylori infection as well as microorganisms in the stomach, and the correlation between BAs and gastric carcinogenesis. The ultimate goal is to elucidate the role of BAs in the development of GC.

Sarcopenia and body fat change as risk factors for radiologic incisional hernia following robotic nephrectomy

OBJECTIVE

To assess the effect of body muscle and fat metrics on the development of radiologic incisional hernia (IH) following robotic nephrectomy.

MATERIALS AND METHODS

We retrospectively reviewed the records of patients who underwent robotic nephrectomy for kidney tumors between 2011 and 2017. All pre- and postoperative CTs were re-reviewed by experienced radiologists for detection of radiologic IH and calculation of the following metrics using Synapse 3D software: cross-sectional psoas muscle mass at the level of L3 and L4 as well as subcutaneous and visceral fat areas. Sarcopenia was defined as psoas muscle index below the lowest quartile. Cox proportional hazard model was constructed to examine the association between muscle and fat metrics and the risk of developing radiologic IH.

RESULTS

A total of 236 patients with a median (IQR) age of 64 (54-70) years were included in this study. In a median (IQR) follow-up of 23 (14-38) months, 62 (26%) patients developed radiologic IH. On Cox proportional hazard model, we were unable to detect an association between sarcopenia and risk of IH development. In terms of subcutaneous fat change from pre-op, both lower and higher values were associated with IH development (HR (95% CI) 2.1 (1.2-3.4), p = 0.01 and 2.4 (1.4-4.1), p < 0.01 for < Q1 and ≥ Q3, respectively). Similar trend was found for visceral fat area changes from pre-op with a HR of 2.8 for < Q1 and 1.8 for ≥ Q3.

CONCLUSION

Both excessive body fat gain and loss are associated with development of radiologic IH in patients undergoing robotic nephrectomy.

[Management of menopausal syndrome in women with dyslipidemia]

The prevalence of dyslipidemia is increased in postmenopausal women due to dysregulation of lipid metabolism and deficiency of estrogen levels. At the same time, some postmenopausal women also have menopausal syndromes such as vasomotor symptoms, physical physiology, mental psychology, and urogenital tract atrophy. Menopausal hormone therapy is the most effective measure to alleviate menopausal syndrome. And initiating MHT in early menopause can reduce cardiovascular damage. However, menopausal hormone therapy can also bring the risk of thromboembolic diseases such as venous embolism, myocardial infarction and stroke. Different drug regimens have different effects on lipid metabolism. Women with menopausal syndrome should take individualized treatment plans for different types of dyslipidemia. Therefore, this article reviews the management and treatment of menopausal syndrome in women with dyslipidemia, so as to provide a reference for personalized management of dyslipidemia in postmenopausal women.

Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell Carcinoma

INTRODUCTION

Renal cell carcinoma (RCC) is the ninth most common cancer worldwide, with clear cell RCC (ccRCC) being the most frequent histological subtype. The tumor immune microenvironment (TIME) of ccRCC is an important factor to guide treatment, but current assessments are tissue-based, which can be time-consuming and resource-intensive. In this study, we used radiomics extracted from clinically performed computed tomography (CT) as a noninvasive surrogate for CD68 tumor-associated macrophages (TAMs), a significant component of ccRCC TIME.

METHODS

TAM population was measured by CD68+/PanCK+ ratio and tumor-TAM clustering was measured by normalized K function calculated from multiplex immunofluorescence (mIF). A total of 1,076 regions on mIF slides from 78 patients were included. Radiomic features were extracted from multiphase CT of the ccRCC tumor. Statistical machine learning models, including random forest, Adaptive Boosting, and ElasticNet, were used to predict TAM population and tumor-TAM clustering.

RESULTS

The best models achieved an area under the ROC curve of 0.81 (95% CI: [0.69, 0.92]) for TAM population and 0.77 (95% CI: [0.66, 0.88]) for tumor-TAM clustering, respectively.

CONCLUSION

Our study demonstrates the potential of using CT radiomics-derived imaging markers as a surrogate for assessment of TAM in ccRCC for real-time treatment response monitoring and patient selection for targeted therapies and immunotherapies.

Investigating Canadian Public Attitudes Toward COVID-19 Vaccine Mandates with a Nested Analysis Framework

BACKGROUND

Social media is an important medium for studying public attitudes toward COVID-19 vaccine mandates in Canada, and Reddit network communities are a good source for this.

METHODS

This study applied a "nested analysis" framework. We collected 20378 Reddit comments via the Pushshift API and developed a BERT-based binary classification model to screen for relevance to COVID-19 vaccine mandates. We then used a Guided Latent Dirichlet Allocation (LDA) model on relevant comments to extract key topics and assign each comment to its most relevant topic.

RESULTS

There were 3179 (15.6%) relevant and 17199 (84.4%) irrelevant comments. Our BERT-based model achieved 91% accuracy trained with 300 Reddit comments after 60 epochs. The Guided LDA model had an optimal coherence score of 0.471 with four topics: travel, government, certification, and institutions. Human evaluation of the Guided LDA model showed an 83% accuracy in assigning samples to their topic groups.

CONCLUSION

We develop a screening tool for filtering and analyzing Reddit comments on COVID-19 vaccine mandates through topic modelling. Future research could develop more effective seed word-choosing and evaluation methods to reduce the need for human judgment.

Preparation and In Vitro and In Vivo Evaluation of Rectal In Situ Gel of Meloxicam Hydroxypropyl-β-cyclodextrin Inclusion Complex

Meloxicam (MLX) is one of the most effective NSAIDs, but its poor water solubility and low bioavailability limit its clinical application. In this study, we designed a thermosensitive in situ gel of the hydroxypropyl-β-cyclodextrin inclusion complex (MLX/HP-β-CD-ISG) for rectal delivery to improve bioavailability. The best method for preparing MLX/HP-β-CD was the saturated aqueous solution method. The optimal inclusion prescription was optimized using an orthogonal test, and the inclusion complex was evaluated via PXRD, SEM, FTIR and DSC. Then, MLX/HP-β-CD-ISG was characterized regarding the gel properties, release in vitro, and pharmacokinetics in vivo. The inclusion rate of the inclusion complex obtained via the optimal preparation process was 90.32 ± 3.81%. The above four detection methods show that MLX is completely embedded in the HP-β-CD cavity. The developed MLX/HP-β-CD-ISG formulation has a suitable gelation temperature of 33.40 ± 0.17 °C, a gelation time of 57.33 ± 5.13 s, pH of 7.12 ± 0.05, good gelling ability and meets the requirements of rectal preparations. More importantly, MLX/HP-β-CD-ISG significantly improved the absorption and bioavailability of MLX in rats, prolonging the rectal residence time without causing rectal irritation. This study suggests that the MLX/HP-β-CD-ISG can have a wide application prospect with superior therapeutic benefits.

Radiogenomic associations clear cell renal cell carcinoma: an exploratory study

OBJECTIVES

This study investigates how quantitative texture analysis can be used to non-invasively identify novel radiogenomic correlations with Clear Cell Renal Cell Carcinoma (ccRCC) biomarkers.

METHODS

The Cancer Genome Atlas-Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) open-source database was used to identify 190 sets of patient genomic data that had corresponding multiphase contrast-enhanced CT images in The Cancer Imaging Archive (TCIA-KIRC). 2824 radiomic features spanning fifteen texture families were extracted from CT images using a custom-built MATLAB software package. Robust radiomic features with strong inter-scanner reproducibility were selected. Random Forest (RF), AdaBoost, and Elastic Net machine learning (ML) algorithms evaluated the ability of the selected radiomic features to predict the presence of 12 clinically relevant molecular biomarkers identified from literature. ML analysis was repeated with cases stratified by stage (I/II vs. III/IV) and grade (1/2 vs. 3/4). 10-fold cross validation was used to evaluate model performance.

RESULTS

Before stratification by tumor grade and stage, radiomics predicted the presence of several biomarkers with weak discrimination (AUC 0.60-0.68). Once stratified, radiomics predicted KDM5C, SETD2, PBRM1, and mTOR mutation status with acceptable to excellent predictive discrimination (AUC ranges from 0.70 to 0.86).

CONCLUSIONS

Radiomic texture analysis can potentially identify a variety of clinically relevant biomarkers in patients with ccRCC and may have a prognostic implication.

Work-Life Experience of Academic Radiologists: Food for Thought

RATIONALE AND OBJECTIVES

Work-life experience of physicians is a driver of work engagement vs. burnout. We aimed to determine individual and institutional factors affecting work-life experience of the clinical faculty at a large tertiary care academic medical center.

MATERIALS AND METHODS

The Department of Radiology clinical faculty (n = 62) were surveyed electronically in October 2022. Twenty-three questions, consisting of multiple choice, Yes/No, and Likert scale ratings were administered to obtain demographic information and data for life outside of work, life at work, and work-life integration for the prior 12 months. Work engagements in terms of clinical, research, administrative, and education; work practices including engagement in extra work and remote work; life responsibilities; and utilization of work-life balance strategies were analyzed for percentages and differences in seniority levels and genders. Ratings of faculty work engagement and life integration strategies were assessed utilizing a 1-5 Likert scale. Descriptive statistics were utilized to report mean, standard deviation, median, Q1 and Q3 for continuous measurements, while count and percentage for categories measurements. Comparisons between seniority and gender categories were conducted using independent t-test or Wilcoxon rank sum test depending on data normality assessed through histogram analysis. Chi-square test was used to make comparisons for categorical data. When encountered with small cell (category with <5 count), Fisher's exact test was used for 2 × 2 table analysis and Freeman-Halton test was used for comparisons with more than two categories. SAS 9.4 was used for the data analysis.

RESULTS

Twenty-eight faculty (M:F = 17:11) responded to the survey (survey response rate 45%). The vast majority of faculty reported working extra hours, with 40% working at least 10 hours extra per week. Total of 42.9% reported performing clinical work in the extra hours worked. Total 70.4% of faculty had caregiver responsibilities and 64.3% reported other individual stresses (e.g., financial, family/social, health-related), which required consistent demand of time and effort. A total of 35.7% of faculty reported not being able to balance competing life and work demands. A total of 21.4% respondents reported not utilizing any individual healthy lifestyle choices on a consistent basis over the prior 12 months. Protected time off work and remote work were perceived as effective strategies to provide adequate work-life balance; however, remote work engagement was relatively minor and 35.7% bought back vacation. Total 53.6% respondents reported a level 4 (out of 5) rating for work being meaningful and being positively engaged in their work.

CONCLUSION

Institutions should invest in providing the infrastructure for physician work-life balance and in facilitating healthy lifestyle choices for physicians.

Early Awake Prone Position Combined with High-Flow Nasal Oxygen Therapy in Severe COVID-19: A Case Series

Background

Awake prone positioning has been used for non-intubated patients with COVID-19-related acute hypoxaemic respiratory failure, but the results are contradictory. We aimed to highlight the role of awake prone positioning combined with high-flow nasal oxygen therapy in severe COVID-19 patients infected with the Delta variant of SARS-CoV-2.

Methods

From June 12 to December 7, 2021, we successfully performed prone position(PP) combined with high-flow nasal oxygen(HFNO) therapy on two patients infected with the delta variant of SARS-CoV-2. HFNO was prescribed to reach SpO₂ ≥ 92%. PP was proposed to patients with PaO₂/FiO₂(P/F) < 150 mmHg. Arterial blood gas (ABG) and hemodynamic were monitored before and after PP sessions. The target time of PP was more than 12 h per day and could be appropriately shortened according to the patient's tolerance. Relevant clinical data, HFNO parameters, PICCO parameters, P/F ratio and PP duration were obtained from medical records.

Results

A total of 23 PP sessions and 6 PP sessions combined with HFNO were performed in case 1 and case 2, respectively. Compared with values before PP, GEDI, ELWI and Qs/Qt decreased significantly (GEDI: 869.50 ± 60.50 ml/m² vs. 756.86 ± 88.25 ml/m²; ELWI: 13.64 ± 2.82 ml/kg vs. 12.43 ± 2.50 ml/kg; Qs/Qt: 15.32 ± 6.52% vs. 12.24 ± 5.39%; all p < 0.05), Meanwhile, the oxygenation improved significantly (P/F: 184.50 ± 51.92 mmHg vs. 234.21 ± 88.84 mmHg, p < 0.05), The chest CT revealed the lung infiltrates improved significantly after PP. Both cases were discharged to a dedicated COVID-19 ward without requiring intubation.

Conclusions

Combining PP with HFNO could be a useful treatment strategy for avoiding intubation in severe COVID-19 patients infected with the Delta variant of SARS-CoV-2 to improve pulmonary vascular involvement, improve oxygenation and avoid intubation, but further studies are needed to validate our approach.

Preparation, In Vitro and In Vivo Evaluation of Nanoemulsion In Situ Gel for Transnasal Delivery of Traditional Chinese Medicine Volatile Oil from Ligusticum sinense Oliv.cv. Chaxiong

Ischemic stroke is a difficult-to-treat brain disease that may be attributed to a limited therapeutic time window and lack of effective clinical drugs. Nasal-brain administration is characterized by low systemic toxicity and is a direct and non-invasive brain targeting route. Preliminary studies have shown that the volatile oil of Chaxiong (VOC) has an obvious anti-ischemic stroke effect. In this work, we designed a nanoemulsion thermosensitive in situ gel (VOC-NE-ISG) loaded with volatile oil of Chaxiong for ischemia via intranasal delivery to rat brain treatment of cerebral ischemic stroke. The developed VOC-NE-ISG formulation has a suitable particle size of 21.02 ± 0.25 nm and a zeta potential of -20.4 ± 1.47 mV, with good gelling ability and prolonged release of the five components of VOC. The results of in vivo pharmacokinetic studies and brain targeting studies showed that intranasal administration of VOC-NE-ISG could significantly improve the bioavailability and had excellent brain-targeting efficacy of nasal-to-brain delivery. In addition, the results of pharmacodynamics experiments showed that both VOC-NE and VOC-NE-ISG could reduce the neurological deficit score of model rats, reducing the size of cerebral infarction, with a significant effect on improving ischemic stroke. Overall, VOC-NE-ISG may be a promising intranasal nanomedicine for the effective treatment of ischemic stroke.

Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma

Objectives

To identify computed tomography (CT)-based radiomic signatures of cluster of differentiation 8 (CD8)-T cell infiltration and programmed cell death ligand 1 (PD-L1) expression levels in patients with clear-cell renal cell carcinoma (ccRCC).

Methods

Seventy-eight patients with pathologically confirmed localized ccRCC, preoperative multiphase CT and tumor resection specimens were enrolled in this retrospective study. Regions of interest (ROI) of the ccRCC volume were manually segmented from the CT images and processed using a radiomics panel comprising of 1708 metrics. The extracted metrics were used as inputs to three machine learning classifiers: Random Forest, AdaBoost, and ElasticNet to create radiomic signatures for CD8-T cell infiltration and PD-L1 expression, respectively.

Results

Using a cut-off of 80 lymphocytes per high power field, 59 % were classified to CD8 highly infiltrated tumors and 41 % were CD8 non highly infiltrated tumors, respectively. An ElasticNet classifier discriminated between these two groups of CD8-T cells with an AUC of 0.68 (95 % CI, 0.55-0.80). In addition, based on tumor proportion score with a cut-off of > 1 % tumor cells expressing PD-L1, 76 % were PD-L1 positive and 24 % were PD-L1 negative. An Adaboost classifier discriminated between PD-L1 positive and PD-L1 negative tumors with an AUC of 0.8 95 % CI: (0.66, 0.95). 3D radiomics metrics of graylevel co-occurrence matrix (GLCM) and graylevel run-length matrix (GLRLM) metrics drove the performance for CD8-Tcell and PD-L1 classification, respectively.

Conclusions

CT-radiomic signatures can differentiate tumors with high CD8-T cell infiltration with moderate accuracy and positive PD-L1 expression with good accuracy in ccRCC.

Radiomics quality score in renal masses: a systematic assessment on current literature

OBJECTIVE

To perform a systematic assessment and analyze the quality of radiomics methodology in current literature in the evaluation of renal masses using the Radiomics Quality Score (RQS) approach.

METHODS

We systematically reviewed recent radiomics literature in renal masses published in PubMed, EMBASE, Elsevier, and Web of Science. Two reviewers blinded by each other's scores evaluated the quality of radiomics methodology in studies published from 2015 to August 2021 using the RQS approach. Owing to the diversity in the imaging modalities and radiomics applications, a meta-analysis could not be performed.

RESULTS

Based on our inclusion/exclusion criteria, a total of 87 published studies were included in our study. The highest RQS was noted in three categories: reporting of clinical utility, gold standard, and feature reduction. The average RQS of the two reviewers ranged from 5 ≤ RQS≤19, with the maximum attainable RQS being 36. Very few (7/87 i.e., 8%) studies received an average RQS that ranged from 17 < RQS≤19, which represents studies with the highest RQS in our study. Many (39/87 i.e., 45%) studies received an average RQS that ranged from 13 < RQS≤15. No significant interreviewer scoring differences were observed.

CONCLUSIONS

We report that the overall scientific quality and reporting of radiomics studies in renal masses is suboptimal, and subsequent studies should bolster current deficiencies to improve reporting of radiomics methodologies.

ADVANCES IN KNOWLEDGE

The RQS approach is a meaningful quantitative scoring system to assess radiomics methodology quality and supports a comprehensive evaluation of the radiomics approach before its incorporation into clinical practice.

POS0195 PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS HAVE AN INCREASED RISK OF MORTALITY, MECHANICAL VENTILATION, AND HOSPITALIZATION FROM COVID-19

Background

Patients with systemic lupus erythematosus (SLE) may have an increased risk of mortality from COVID-19 due to underlying immunosuppression, comorbidities, and abnormalities in the innate immune system. Studies have shown that autoimmune diseases and some immunosuppressive agents are risk factors for hospitalization, ventilation, and mortality from COVID-19.

Objectives

To compare the outcomes of patients with or without SLE who were diagnosed with COVID-19 and to identify the factors associated with 30-day hospitalization, mechanical ventilation, and mortality. We hypothesized that patients with SLE had a higher risk of adverse outcomes.

Methods

This retrospective cohort study used the deidentified Optum COVID-19 electronic health record dataset to identify adult patients with COVID-19 diagnosis from 1/1/2020 – 12/31/2020. The SLE cohort was defined as patients who had two or more international classification of diseases (ICD) 9 or 10 diagnosis codes of 710.0 or M32.xx but not M32.0 within one year before COVID-19 diagnosis and were on either antimalarial or immunosuppressive therapy. The general cohort excluded patients with SLE. We matched SLE cases with controls at a ratio of 1:10 by age, sex, race and ethnicity, and month of COVID-19 diagnosis via a propensity score matching with exact matching for the latter three variables. Outcomes included 30-day mortality, hospitalization, and mechanical ventilation after COVID-19 diagnosis. We performed multivariable logistic regression models to estimate the odds of 30-day mortality, hospitalization, and mechanical ventilation after adjusting for age, sex, race and ethnicity, COVID-19 diagnosis quarter, insurance, region, severe obesity, smoking status, and comorbidities.

Results

We included 687 SLE cases matched with 6,870 controls. After matching, the 30-day mortality for SLE and control was 3.6% and 1.8% (p <0.001), the 30-day mechanical ventilation was 6.0% and 2.5% (p <0.001), and 30-day hospitalization was 31.0% and 17.7% (p <0.001). After multivariable adjustment (Table 1) for age, sex, race, COVID-19 diagnosis quarter, insurance, region, severe obesity, and smoking status, patients with SLE had higher odds of death (Odds Ratio (OR)=2.09; 95% CI 1.31-3.32), mechanical ventilation (OR=2.43; 95% CI 1.67-3.54) and hospitalization (OR=2.06; 95% CI 1.71-2.49). After additionally adjusting for comorbidities, the OR decreased to 1.39 (95%CI 0.79-2.44), 1.81 (95%CI 1.16-2.82), and 1.32 (95%CI 1.05-1.65) for mortality, mechanical ventilation, and hospitalization respectively. Older age, male sex, Hispanic ethnicity or Black race, severe obesity, and smoking had increased risk of adverse outcomes.

Table 1.

Multivariable logistic regression model of 30-day mortality, 30-day mechanical ventilation, and 30-day hospitalization on matched cohort adjusting for demographic and comorbidity score

VariablesModel 1*Odds Ratio (95% CI)Model 2**Odds Ratio (95% CI)MortalityControl11SLE2.09 (1.31 to 3.32)1.39 (0.79 to 2.44)30-day mechanical ventilationControl11SLE2.43 (95% CI 1.67 to 3.54)1.81 (1.16 to 2.82)HospitalizationControl11SLE2.06 (1.71 to 2.49)1.32 (1.05 to 1.65)

SLE: systemic lupus erythematosus; CI: confidence interval.

*Model 1 includes adjustments for age, sex, race, COVID-19 diagnosis date (by quarter), insurance, region, severe obesity, smoking status, and skilled nursing facility stay three months before COVID-19 diagnosis.

**Model 2 includes adjustments from model 1 and comorbidities (excluding SLE).

Conclusion

Patients with SLE have an increased risks of mortality, mechanical ventilation, and hospitalization within 30 days of COVID-19 diagnosis. The risks decreased after adjustment for comorbidities but remained statistically significant for mechanical ventilation and hospitalization.

Disclosure of Interests

Sebastian Bruera: None declared, Xiudong Lei: None declared, Hui Zhao: None declared, Jinoos Yazdany Consultant of: She has performed consulting for Aurinia, Astra Zeneca, and Pfizer, unrelated to this work., Grant/research support from: Dr. Yazdany has research grants from Astra Zeneca, Gilead and the Bristol Myers Squibb Foundation unrelated to this work., Mariana Chavez-Macgregor: None declared, Sharon Giordano: None declared, Maria Suarez-Almazor Consultant of: Dr, Suarez-Almazor has been a consultant for Pfizer, Eli Lilly, Chemosentryx, Bristol Myers Squibb.

All unrelated to the topic of this study.

Educational, psychosocial, and clinical impact of SARS-CoV-2 (COVID-19) pandemic on medical students in the United States

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic altered education, exams, and residency applications for United States medical students.

AIM

To determine the specific impact of the pandemic on US medical students and its correlation to their anxiety levels.

METHODS

An 81-question survey was distributed via email, Facebook and social media groups using REDCap^TM. To investigate risk factors associated with elevated anxiety level, we dichotomized the 1-10 anxiety score into low (≤ 5) and high (≥ 6). This cut point represents the 25^th percentile. There were 90 (29%) shown as low anxiety and 219 (71%) as high anxiety. For descriptive analyses, we used contingency tables by anxiety categories for categorical measurements with chi square test, or mean ± STD for continuous measurements followed by t-test or Wilcoxson rank sum test depending on data normality. Least Absolute Shrinkage and Selection Operator was used to select important predictors for the final multivariate model. Hierarchical Poisson regression model was used to fit the final multivariate model by considering the nested data structure of students clustered within State.

RESULTS

397 medical students from 29 states were analyzed. Approximately half of respondents reported feeling depressed since the pandemic onset. 62% of participants rated 7 or higher out of 10 when asked about anxiety levels. Stressors correlated with higher anxiety scores included “concern about being unable to complete exams or rotations if contracting COVID-19” (RR 1.34; 95%CI: 1.05-1.72, P = 0.02) and the use of mental health services such as a “psychiatrist” (RR 1.18; 95%CI: 1.01-1.3, P = 0.04). However, those students living in cities that limited restaurant operations to exclusively takeout or delivery as the only measure of implementing social distancing (RR 0.64; 95%CI: 0.49-0.82, P < 0.01) and those who selected “does not apply” for financial assistance available if needed (RR 0.83; 95%CI: 0.66-0.98, P = 0.03) were less likely to have a high anxiety.

CONCLUSION

COVID-19 significantly impacted medical students in numerous ways. Medical student education and clinical readiness were reduced, and anxiety levels increased. It is vital that medical students receive support as they become physicians. Further research should be conducted on training medical students in telemedicine to better prepare students in the future for pandemic planning and virtual healthcare.

Loneliness and cravings for sugar-sweetened beverages among adolescents

PURPOSE

The consumption of sugar-sweetened beverages (SSBs) is associated with weight gain in both children and adults. In addition to environmental factors, such as food availability, psychological variables, including mood states, also impact intake. In the current study, we focus on momentary associations between feelings of loneliness and craving for SSBs among adolescents and explore the moderating role of family functioning. Loneliness has been associated with a wide range of health outcomes, but to date, few studies have examined its association with cravings for SSBs.

METHODS

Using an ecological-momentary assessment design, data were collected on 158 (males = 68, mean age = 15.13 ± 2.27 years) participants. Multilevel mixed-effects models were used to examine the relations between the main and interactive effects of loneliness and family functioning on cravings for SSBs, independent of other negative emotions.

RESULTS

Results suggest that loneliness in adolescents was associated with a small increase in craving for SSBs. Importantly, the relationship held after controlling for negative emotions, suggesting the unique role of loneliness. However, positive family functioning did not mitigate the relations between loneliness and craving for SSBs.

CONCLUSIONS

Loneliness uniquely contributes to cravings for SSBs. At the same time, family functioning did not buffer the influence of loneliness on cravings for SSBs among adolescents.

Evaluation of the Accuracy of Six Simple Screening Tools for Sarcopenia in Schizophrenic Patients

OBJECTIVES

Our objective was to evaluate if SARC-F, SARC-CalF, SARC-F-EBM, calf circumference (CC), mid-upper-arm circumference (MUAC) and Ishii test can be used to accurately screen for sarcopenia in schizophrenic patients.

METHOD

We enrolled schizophrenic patients aged 50 or older, who were regularly taking antipsychotic medications, at two mental health centres. Bioimpedance-based muscle-mass was analysed with an InBody 770 instrument, while muscle strength was measured with a digital grip-strength dynamometer. The physical performance of the patients was gauged from their gait speed over 6 m. Standard AWGS2019 diagnostic criteria were used, and the accuracies of the six screening methods were indicated by the sensitivity, negative predictive value (NPV), and area under receiver operating characteristic curve (AUC).

RESULTS

A total of 339 stable schizophrenic patients were enrolled. The overall prevalence of sarcopenia was 53.1%, and the prevalence was 55.6% and 47.66%, respectively, for males and females. The prevalence of sarcopenia obesity in the total population was 16.22%, and that of males and females was 18.97% and 10.28%, respectively. The SARC-F, SARC-CalF, SARC-F-EBM, CC, MUAC and Ishii test sensitivity/NPV in screening for sarcopenia were 41.86%/0.52, 79.07%/0.7, 28.68%/0.51, 78.3%/0.71, 76.74%/0.7, 89.92%/0.84, respectively, in males and 45.1%/0.59, 94.12%/0.91, 54.9%/0.7, 92.16%/60.91, 74.51%/0.77, 96.08%/0.94, respectively, in females. In males, the AUCs of the SARC-F, SARC-CalF, SARC-F-EBM, CC, MUAC and Ishii test were 0.601 (95%CI, 0.528-0.673), 0.754 (95%CI,0.69-0.817), 0.657 (95%CI,0.588-0.727), 0.8 (95%CI, 0.744-0.856), 0.781 (95%CI, 0.721-0.84) and 0.88 (95%CI, 0.837-0.922), respectively, and in females, they were 0.587(95%CI,0.479-0.696), 0.794 (95%CI,0.709-0.878), 0.799 (95%CI,0.71-0.888), 0.893 (95%CI, 0.833-0.953), 0.843 (95%CI, 0.772-0.915) and 0.855 (95%CI, 0.784-0.926), respectively.

CONCLUSION

The prevalence of sarcopenia in schizophrenic patients is high. Clinical doctors should screen for sarcopenia in schizophrenic patients and provide timely interventions to reduce the occurrence of adverse events. The above six tools can be used as screening tools, and the Ishii test is the most suitable for screening.

Association between the Severity of Sarcopenia and Pneumonia in Patients with Stable Schizophrenia: A Prospective Study

OBJECTIVES

This study investigates the associations between the severity of sarcopenia and pneumonia in patients with stable schizophrenia.

MATERIALS AND METHODS

This is a prospective study that includes patients from the rehabilitation wards of two mental health centres in western China, who were diagnosed with stable schizophrenia. Baseline data were collected from these patients between September 1 and September 30, 2020, while patients' data associated with pneumonia, diagnosed and treated by clinicians, were collected between October 2020 and October 2021. The severity of sarcopenia was diagnosed according to the diagnostic criteria defined by the Asian Working Group for Sarcopenia (AWGS) 2019. The association between the severity of sarcopenia and pneumonia in patients with schizophrenia was analyzed with the use of logistic regression analysis.

RESULTS

Three hundred and thirty-five patients with stable schizophrenia were enrolled in the prospective study, among whom 242 (72.24%) were≥60 years old, and 229 (68.36%) were males. Among the patients with stable schizophrenia, 130 (38.8%) were diagnosed with non-severe sarcopenia, whereas 47 (14.0%) had severe sarcopenia. Eighty-two (24.5%) of patients with schizophrenia fought pneumonia. Our study showed that the severe sarcopenia group had the highest incidence of pneumonia, followed by the non-severe sarcopenia group (severe sarcopenia vs. non-severe sarcopenia vs. normal, 38.3% vs. 28.46% vs. 17.09%, p=0.005). Compared with the normal group, the non-severe sarcopenia group (OR=1.93, 95%CI: 1.1-3.389) and the severe sarcopenia group (OR=3.011, 95%CI: 1.467-6.183) had a higher risk of pneumonia. We further adjusted the potential confounders such as sex, smoking history, chronic obstructive pulmonary disease (COPD), Patient Health Questionnaire (PHQ-9) score, and benzhexol and confirmed that only the severe sarcopenia group had an increased risk of pneumonia (OR=2.366, 95%CI: 1.078-5.191).

CONCLUSIONS

We have demonstrated that severe sarcopenia was associated with pneumonia in patients diagnosed with stable schizophrenia.

CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma

OBJECTIVES

To evaluate the utility of CT-based radiomics signatures in discriminating low-grade (grades 1-2) clear cell renal cell carcinomas (ccRCC) from high-grade (grades 3-4) and low TNM stage (stages I-II) ccRCC from high TNM stage (stages III-IV).

METHODS

A total of 587 subjects (mean age 60.2 years ± 12.2; range 22-88.7 years) with ccRCC were included. A total of 255 tumors were high grade and 153 were high stage. For each subject, one dominant tumor was delineated as the region of interest (ROI). Our institutional radiomics pipeline was then used to extract 2824 radiomics features across 12 texture families from the manually segmented volumes of interest. Separate iterations of the machine learning models using all extracted features (full model) as well as only a subset of previously identified robust metrics (robust model) were developed. Variable of importance (VOI) analysis was performed using the out-of-bag Gini index to identify the top 10 radiomics metrics driving each classifier. Model performance was reported using area under the receiver operating curve (AUC).

RESULTS

The highest AUC to distinguish between low- and high-grade ccRCC was 0.70 (95% CI 0.62-0.78) and the highest AUC to distinguish between low- and high-stage ccRCC was 0.80 (95% CI 0.74-0.86). Comparable AUCs of 0.73 (95% CI 0.65-0.8) and 0.77 (95% CI 0.7-0.84) were reported using the robust model for grade and stage classification, respectively. VOI analysis revealed the importance of neighborhood operation-based methods, including GLCM, GLDM, and GLRLM, in driving the performance of the robust models for both grade and stage classification.

CONCLUSION

Post-validation, CT-based radiomics signatures may prove to be useful tools to assess ccRCC grade and stage and could potentially add to current prognostic models. Multiphase CT-based radiomics signatures have potential to serve as a non-invasive stratification schema for distinguishing between low- and high-grade as well as low- and high-stage ccRCC.

KEY POINTS

• Radiomics signatures derived from clinical multiphase CT images were able to stratify low- from high-grade ccRCC, with an AUC of 0.70 (95% CI 0.62-0.78). • Radiomics signatures derived from multiphase CT images yielded discriminative power to stratify low from high TNM stage in ccRCC, with an AUC of 0.80 (95% CI 0.74-0.86). • Models created using only robust radiomics features achieved comparable AUCs of 0.73 (95% CI 0.65-0.80) and 0.77 (95% CI 0.70-0.84) to the model with all radiomics features in classifying ccRCC grade and stage, respectively.

Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis

The image biomarkers standardization initiative (IBSI) was formed to address the standardization of extraction of quantifiable imaging metrics. Despite its effort, there remains a lack of consensus or established guidelines regarding radiomic feature terminology, the underlying mathematics and their implementation across various software programs. This creates a scenario where features extracted using different toolboxes cannot be used to build or validate the same model leading to a non-generalization of radiomic results. In this study, IBSI-established phantom and benchmark values were used to compare the variation of the radiomic features while using 6 publicly available software programs and 1 in-house radiomics pipeline. All IBSI-standardized features (11 classes, 173 in total) were extracted. The relative differences between the extracted feature values from the different software programs and the IBSI benchmark values were calculated to measure the inter-software agreement. To better understand the variations, features are further grouped into 3 categories according to their properties: 1) morphology, 2) statistic/histogram and 3)texture features. While a good agreement was observed for a majority of radiomics features across the various tested programs, relatively poor agreement was observed for morphology features. Significant differences were also found in programs that use different gray-level discretization approaches. Since these software programs do not include all IBSI features, the level of quantitative assessment for each category was analyzed using Venn and UpSet diagrams and quantified using two ad hoc metrics. Morphology features earned lowest scores for both metrics, indicating that morphological features are not consistently evaluated among software programs. We conclude that radiomic features calculated using different software programs may not be interchangeable. Further studies are needed to standardize the workflow of radiomic feature extraction.

Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs

Objectives

For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the feasibility of chest X-ray (CXR)-based radiomics metrics to develop machine-learning algorithms for predicting patients with poor outcomes.

Methods

In this Institutional Review Board (IRB) approved, Health Insurance Portability and Accountability Act (HIPAA) compliant, retrospective study, we evaluated CXRs performed around the time of admission from 167 COVID-19 patients. Of the 167 patients, 68 (40.72%) required intensive care during their stay, 45 (26.95%) required intubation, and 25 (14.97%) died. Lung opacities were manually segmented using ITK-SNAP (open-source software). CaPTk (open-source software) was used to perform 2D radiomics analysis.

Results

Of all the algorithms considered, the AdaBoost classifier performed the best with AUC = 0.72 to predict the need for intubation, AUC = 0.71 to predict death, and AUC = 0.61 to predict the need for admission to the intensive care unit (ICU). AdaBoost had similar performance with ElasticNet in predicting the need for admission to ICU. Analysis of the key radiomic metrics that drive model prediction and performance showed the importance of first-order texture metrics compared to other radiomics panel metrics. Using a Venn-diagram analysis, two first-order texture metrics and one second-order texture metric that consistently played an important role in driving model performance in all three outcome predictions were identified.

Conclusions:

Considering the quantitative nature and reliability of radiomic metrics, they can be used prospectively as prognostic markers to individualize treatment plans for COVID-19 patients and also assist with healthcare resource management.

Advances in knowledge

We report on the performance of CXR-based imaging metrics extracted from RT-PCR positive COVID-19 patients at admission to develop machine-learning algorithms for predicting the need for ICU, the need for intubation, and mortality, respectively.

Accuracy of contrast-enhanced spectral mammography compared with MRI for invasive breast cancers: Prospective study in population of predominantly underrepresented minorities

OBJECTIVES

This prospective study compares contrast-enhanced spectral mammography (CESM) with contrast-enhanced breast MRI in assessing the extent of newly diagnosed breast cancer in a multiethnic cohort.

METHODS

This study includes 41 patients with invasive breast cancer detected by mammography or conventional ultrasound imaging from May 2017 to March 2020. CESM and MRI scans were performed prior to any treatment. Results are compared with each other and to histopathology. Detection of the malignant lesion was assessed by sensitivity, specificity, PPV, NPV. Consistency of malignant tumor size measurement was compared between modalities using Intraclass Correlation Coefficient (ICC).

RESULTS

In a multiethnic cohort with over 65% Hispanic and African-American women, the sensitivity of detecting malignant lesions for CESM is 93.1% (77.23%, 99.15%) and MRI is 96.55% (82.24%, 99.91%). The PPV for CESM 96.43% (81.65%, 99.91%) is better compared to MRI 82.35% (65.47%, 93.24%). CESM is as effective as MRI in evaluating index cancers and multifocal/multicentric/contralateral disease. CESM has greater specificity and PPV since MRI tends to overcall benign lesions. There is a good agreement of tumor size between CESM to surgery and MRI to surgery with ICC of 0.85 (95% CI 0.69, 0.93) and 0.87 (95% CI 0.74, 0.94), respectively. There is good agreement of malignancy detection between CESM and MRI with Kappa of 0.74 (95% CI 0.52, 0.95).

CONCLUSIONS

CESM is an effective imaging modality for evaluating the extent of disease in newly diagnosed invasive breast cancers and a good alternative to MRI in a multiethnic population.

Adolescents' Depressive Symptom Experience Mediates the Impact of Long-Term Exposure to Maternal Depression Symptoms on Adolescents' Body Mass Index

BACKGROUND

Obesity is a cardiovascular disease risk factor and affects approximately 13.7 million U.S. children and adolescents between the ages 2 and 19 years old in 2015-2016.

PURPOSE

To determine the relationship between children's average long-term exposure to maternal depressive symptoms age 1 month to Grade 6 and adolescents' body mass index (BMI) z-score at age 15 mediated by the adolescents' depressive symptom experience.

METHODS

A total of 1,364 infants and their families from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Study of Early Child Care and Youth Development were recruited.

RESULTS

Mediation analyses revealed a significant relationship between children's average long-term exposure to maternal depressive symptoms from age 1 month to Grade 6 and adolescents' BMI z-score at age 15 (total effect = 0.015, p = .013, 95% confidence interval (CI): 0.0032, 0.027). The adolescents' experience of depressive symptoms significantly mediated this relationship (indirect effect = 0.0021, bias-corrected bootstrapped 95% CI: 0.0004, 0.0044), with this mediated relationship more pronounced in girls.

CONCLUSIONS

Findings indicate the possible existence of a mediating role of adolescents' depressive symptoms experience in the pathway from average long-term exposure to maternal depressive symptoms during children's early life to adolescents' elevated BMI.

Psychosocial adjustment mediates impacts of playmate positive support on body mass index and overweight risk in adolescents

OBJECTIVES

We examined the mediation effects of psychosocial adjustment on the impact of playmate positive support throughout childhood and early adolescence (from age 54 months to 11 years) on later body mass index (BMI) and overweight risk in middle adolescence (age 15 years).

STUDY DESIGN

This was a prospective cohort study.

METHODS

Among 844 children and their families, positive support between child-playmate dyads was repeatedly assessed from child's age 54 months to Grade 5. Long-term positive support between child-playmate dyads throughout childhood and early adolescence was prospectively linked to child's BMI and overweight/obesity status at age 15 years. The average scores of repeated assessments of internalizing and externalizing behavior problems from Grades 3 to 6 were used as mediators.

RESULTS

Significant mediations of internalizing and externalizing behavior problems were observed on pathways from positive support between child-playmate dyads to later BMI and overweight/obesity status at age 15 years. The observed mediations were mainly sustained with pronounced magnitudes in girls, but not in boys.

CONCLUSIONS

Our findings demonstrated a significant mediating role of psychosocial adjustment. Future research efforts are highly encouraged to replicate our findings and further explore this underlying mediation mechanism.

COPB2: a transport protein with multifaceted roles in cancer development and progression

The Coatomer protein complex subunit beta 2 (COPB2) is involved in the formation of the COPI coatomer protein complex and is responsible for the transport of vesicles between the Golgi apparatus and the endoplasmic reticulum. It plays an important role in maintaining the integrity of these cellular organelles, as well as in maintaining cell homeostasis. More importantly, COPB2 plays key roles in embryonic development and tumor progression. COPB2 is regarded as a vital oncogene in several cancer types and has been implicated in tumor cell proliferation, survival, invasion, and metastasis. Here, we summarize the current knowledge on the roles of COPB2 in cancer development and progression in the context of the hallmarks of cancer.

Surgeon Automated Performance Metrics as Predictors of Early Urinary Continence Recovery After Robotic Radical Prostatectomy-A Prospective Bi-institutional Study

Background

During robotic surgeries, kinematic metrics objectively quantify surgeon performance.

Objective

To determine whether clinical factors confound the ability of surgeon performance metrics to anticipate urinary continence recovery after robot-assisted radical prostatectomies (RARPs).

Design, setting, and participants

Clinical data (patient characteristics, continence recovery, and treatment factors) and surgeon data from RARPs performed between July 2016 and November 2018 were prospectively collected. Surgeon data included 40 automated performance metrics (APMs) derived from robot systems (instrument kinematics and events) and summarized over each standardized RARP step. The data were collected from two high-volume robotic centers in the USA and Germany. Surgeons from both institutions performed RARPs. The inclusion criteria were consecutive RARPs having both clinical and surgeon data.

Intervention

RARP with curative intent to treat prostate cancer.

Outcome measurements and statistical analysis

The outcome was 3- and 6-mo urinary continence recovery status. Continence was defined as the use of zero or one safety pad per day. Random forest (SAS HPFOREST) was utilized.

Results and limitations

A total of 193 RARPs performed by 20 surgeons were included. Of the patients, 56.7% (102/180) and 73.3% (129/176) achieved urinary continence by 3 and 6 mo after RARP, respectively. The model anticipated continence recovery (area under the curve = 0.74, 95% confidence interval [CI] 0.66–0.81 for 3-mo, and area under the curve = 0.67, 95% CI 0.58–0.76 for 6 mo). Clinical factors, including pT stage, confounded APMs during prediction of continence recovery at 3 mo after RARP (Δβ median –13.3%, interquartile range [–28.2% to –6.5%]). After adjusting for clinical factors, 11/20 (55%) top-ranking APMs remained significant and independent predictors (ie, velocity and wrist articulation during the vesicourethral anastomosis). Limitations included heterogeneity of surgeon/patient data between institutions, although it was accounted for during multivariate analysis.

Conclusions

Clinical factors confound surgeon performance metrics during the prediction of urinary continence recovery after RARP. Nonetheless, many surgeon factors are still independent predictors of early continence recovery.

Patient summary

Both patient factors and surgeon kinematic metrics, recorded during robotic prostatectomies, impact early urinary continence recovery after robot-assisted radical prostatectomy.

Identification of robust and reproducible CT-texture metrics using a customized 3D-printed texture phantom

OBJECTIVE

The objective of this study was to evaluate the robustness and reproducibility of computed tomography-based texture analysis (CTTA) metrics extracted from CT images of a customized texture phantom built for assessing the association of texture metrics to three-dimensional (3D) printed progressively increasing textural heterogeneity.

MATERIALS AND METHODS

A custom-built 3D-printed texture phantom comprising of six texture patterns was used to evaluate the robustness and reproducibility of a radiomics panel under a variety of routine abdominal imaging protocols. The phantom was scanned on four CT scanners (Philips, Canon, GE, and Siemens) to assess reproducibility. The robustness assessment was conducted by imaging the texture phantom across different CT imaging parameters such as slice thickness, field of view (FOV), tube voltage, and tube current for each scanner. The texture panel comprised of 387 features belonging to 15 subgroups of texture extraction methods (e.g., Gray-level Co-occurrence Matrix: GLCM). Twelve unique image settings were tested on all the four scanners (e.g., FOV125). Interclass correlation two-way mixed with absolute agreement (ICC3) was used to assess the robustness and reproducibility of radiomic features. Linear regression was used to test the association between change in radiomic features and increased texture heterogeneity. Results were summarized in heat maps.

RESULTS

A total of 5612 (23.2%) of 24 090 features showed excellent robustness and reproducibility (ICC ≥ 0.9). Intensity, GLCM 3D, and gray-level run length matrix (GLRLM) 3D features showed best performance. Among imaging variables, changes in slice thickness affected all metrics more intensely compared to other imaging variables in reducing the ICC3. From the analysis of linear trend effect of the CTTA metrics, the top three metrics with high linear correlations across all scanners and scanning settings were from the GLRLM 2D/3D and discrete cosine transform (DCT) texture family.

CONCLUSION

The choice of scanner and imaging protocols affect texture metrics. Furthermore, not all CTTA metrics have a linear association with linearly varying texture patterns.

Daily Ultrasound Imaging for Patients Undergoing Postprostatectomy Radiation Therapy Predicts and Ensures Dosimetric Endpoints

Purpose

Patients who receive radiation therapy (RT) for prostate cancer are routinely positioned through radiographic means. We set out to establish a data-driven process that defines bladder volume required to meet V40/65 constraints using daily bladder ultrasound (US) and comparative cone beam CT (CBCT) before placing a patient on the treatment table.

Methods and Materials

This was a single institution retrospective study of 20 patients (390 CBCT scans) who received postprostatectomy RT. Each patient received a daily US before treatment. CBCT alignment was performed 3 times a week. The bladder and rectum were contoured on each CBCT and a session dose was recorded. A mixed-effect model was used to estimate trajectory slopes of radiation exposure with organs-at-risk volume increase. Slope differences by V40/65 for prostate fossa (PF) and pelvic lymph nodes (PF/pLN) were tested using a 3-way-interaction term with Bonferroni correction.

Results

For the 20 patients, 10 received treatment to PF and 10 received RT to the PF/pLN. Predefined bladder constraints were V65 < 50%, V40 < 70%, and rectal constraints were V65 < 35%, V40 < 55%. The CBCT bladder volume (76-578 cm³) was greater than the pretreatment bladder US (87-466 cm³) due to volume filling between measurements (r = 0.8 ± 0.05). Mixed model detected a statistically significant 3-way interaction (P < .01) for bladder volume and V40/65. Both PF and PF/pLN patients showed improvement in V40/65 with an increase in bladder volume. For PF patients, bladder constraints were met when the US volume was >108 cm³ and for PF/pLN patients when the US bladder volume was >200 cm³. Rectal filling showed no association with CBCT volume.

Conclusions

Daily US of the bladder before postprostatectomy RT allows for dosimetric predictions before daily treatment. This should translate into fewer CBCT for the patient and improved machine throughput. This technique is easy to institute and ensures organs-at-risk volumetric constraints are met based on daily US measurements.

FRI0516 FACTORS ASSOCIATED WITH DECREASED CERVICAL CANCER SCREENING IN WOMEN WITH SYSTEMIC LUPUS ERYTHEMATOSUS

Background:

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that carries an increased risk for both viral illnesses and malignancies, including a greater risk for both human papilloma virus (HPV) infection and cervical cancer. Due to this increased risk, the American Society of Colposcopy and Cervical Pathology guidelines for SLE patients recommend more frequent cervical cancer screening. Few studies have examined patient characteristics associated with decreased cervical cancer screening in patients with autoimmune disease, specifically SLE.

Objectives:

To estimate cervical cancer screening rates in women with recently diagnosed SLE, and to identify characteristics associated with decreased screening.

Methods:

We identified women with an initial diagnosis of SLE in the United States MarketScan Commercial Claims and Encounter (CCAE, age 18-64) administrative claims database. We included patients with at least three claims with a lupus diagnosis (first and last at least >90 days apart), no lupus claims within the year before initial claim, and who had been on antimalarial drugs for at least 90 days. We excluded all patients with a previous claim for hysterectomy.

Cervical cancer screening was ascertained using diagnosis and procedure codes within 1 year before and 2 years after the first SLE claim. Our covariates included the year of first SLE claim (2001-2014), age at first SLE claim, comorbidity score, insurance type, geographical region, and prescriptions for multiple types of corticosteroids. Control patients included age-matched females without autoimmune disease. Univariate comparison and multivariate logistic regression models were built to evaluate determinants of screening.

Results:

We included 4,316 SLE patients (median age 45) and 86,544 control patients. The screening rate in SLE patients was 73.4% vs 58.5% in the controls (P < 0.001). The screening rate was 71% in 2001, increased to 75% in 2004, then decreased to 70% in 2014 (trend P =0.005). In the multivariate model the following factors were associated with decreased cervical cancer screening: year of first SLE claim 2012-2014 versus 2001-2005 (odds ratio (OR) 0.67, 95% confidence interval (CI) 0.53 – 0.84, P < 0.001); older age 61-64 versus 21-30 (OR 0.27, 95% CI 0.19 – 0.39, P < 0.001); comorbidity score of ≥2 versus <2 (OR 0.71, 95% CI 0.6 – 0.83, P < 0.001); and use of corticosteroids for ≥ 90 days versus <90 days (OR 0.73, 95% CI 0.59 – 0.9, P = 0.003). Insurance type and geographical region were not associated with cervical cancer screening.

Conclusion:

About three quarters of women with SLE underwent cervical cancer screening within 3 years of their first lupus claim, at higher rates than controls. However, there was a concerning downward trend in screening rates in recent years. In addition, higher risk populations for cervical cancer (older age, increased comorbidities, and longer duration of corticosteroids) had lower screening rates. These findings highlight the need to enhance education for healthcare providers to improve utilization of screening in women with SLE at high risk of cervical cancer.

Disclosure of Interests:

Sebastian Bruera: None declared, Richard Zogala: None declared, Xiudong Lei: None declared, Xerxes Pundole: None declared, Hui Zhao: None declared, Sharon Giordano: None declared, Jessica Hwang Grant/research support from: MERCK grant funding unrelated to SLE., Maria Suarez-Almazor: None declared

[Efficacy comparison between robot-assisted and laparoscopic surgery for mid-low rectal cancer: a prospective randomized controlled trial]

Objective: To compare the short- and long-term outcomes of robot-assisted and laparoscopic radical resection for mid-low rectal cancer. Methods: A prospective randomized controlled trial was conducted. A total of 130 patients with mid-low rectal cancer (inclusion criteria: age > 18 or ≤80 years old; pathological diagnosis of rectal adenocarcinoma by colonoscopy; distance from tumor to the anal verge ≤12 cm; no distant metastasis; cT1-3N0-1 or ycT1-3 after neoadjuvant radiotherapy and chemotherapy; suitable for laparoscopic and robotic surgery) at the Department of Colorectal Surgery of the First Affiliated Hospital of Nanchang University from October 2016 to September 2018 were prospectively enrolled. According to computer-generated random number method, patients were randomly divided into the robot group (n=66) and laparoscopy group (n=64), and underwent robot-assisted surgery or laparoscopic surgery respectively. Clinicopathological data of all the patients were collected and analyzed. The demographic parameters, short- and long-term outcomes were compared between two groups. Results: One patient in robot group whose postoperative sample was diagnosed as rectal adenoma by pathology was excluded. There were no statistically significant differences in age, sex, BMI, ASA classification, distance from tumor to the anal verge, serum CEA level, CA199 level between two groups (all P>0.05). Operations were successfully performed in all the patients without conversion to open operation. Robotic surgery was found to be associated with less intraoperative blood loss than laparoscopic surgery [(73.4±49.7) ml vs. (119.1±65.7) ml, t=-4.461, P<0.001], while there were no statistically significant differences in surgical procedures, operation time, time to first flatus, time to first liquid intake, time to removal of catheter or postoperative hospital stay between two groups (all P>0.05). Besides, there was no significant difference in the morbidity of postoperative complication between two groups [10.8% (7/65) vs. 12.5 (8/64), χ(2)=4.342, P=0.720]. The median number of harvested lymph node in the robot group and the laparoscopy group was 15.7±6.2 and 13.8±6.1 (t=1.724, P=0.087). There were no significant differences between two groups in tumor sample length, distance between proximal and distal resection margin, integrity grade of TME specimen, number of positive lymph nodes, postoperative pathological stage and tumor differentiation (all P>0.05). The distal resection margin of samples in two groups was all negative. One case in the robot group was found to have positive circumferential resection margin. The median follow up was 24 (9 to 31) months. In the robot group and the laparoscopy group, the 2-year overall survival rate was 95.4% and 90.6% respectively; the 2-year disease-free survival rate was 90.8% and 85.9% respectively, whose differences were not significant (both P>0.05). Conclusion: Robot-assisted radical resection for mid-low rectal cancer can achieve similar short-term and long-term outcomes of laparoscopic resection, while robot-assisted surgery can decrease blood loss during operation, leading to more precise practice in minimally invasive surgery.

[The clinical significance of serum autoantibodies and HLA-B(27) molecule testing in Uygur patients with human immunodeficiency virus infection]

Objective: To explore the clinical value of serum autoantibodies and human leukocyte antigen (HLA-B(27)) molecular testing in Uygur patients with human immunodeficiency virus (HIV) infection. Method: A total of 727 HIV-infected Uygur patients who visited Kuche infectious diseases hospital during May 2016 to March 2017 were include in this study. The other 390 healthy people were enrolled as controls. Serum antinuclear antibodies (ANA), anti-cyclic citrullinated peptide (CCP) antibody, anti-extractable nuclear antigen (ENAs) antibody and HLA-B(27) molecule were tested. Result: Among 727 HIV-infected Uygur patients, 317 were males and 410 were females with mean age (35.52±13.44) years old. The mean duration of disease was (6.34±3.05) years. There were 697 (95.87%) patients receiving highly active antiretroviral therapy (HAART) with mean duration of treatment (5.52±3.47) years. The mean CD4(+)T cell count was (520±271) cells/μl in 202 HIV-infected patients, and mean virus load was (108 139±20 498) copies/ml in 20 HIV-infected patients. Rheumatic manifestations were recorded in 238 (32.74%) HIV-infected Uygur patients, mainly with dry mouth and dry eye (15.41%) , alopecia (9.90%) , arthralgia (8.94%) , ect. Compared with the health controls, positive ANA was more common in HIV infected Uygur patients (33.43% vs. 17.43%, P<0.001) with low titers (ANA titer:1∶100) . HIV-infected Uygur patients had higher positive anti-u1-RNP antibodies positive rate (1.10%), but lower anti-SSA antibodies positive rate (0.14%) and anti-CCP antibodies positive rate (0.28%). Patients with positive ANA in HAART group were significantly less than that in non-treatment group (32.71% vs. 50.00%, P=0.049). There were no correlations between ANA and duration of HAART, CD4(+)T cell counts and virus load (r values 0.061, 0.047, 0.121, respectively. P>0.05). Only one female patient was HLA-B(27) positive (0.14%), which was significantly lower than that in healthy controls (3.08%) (P<0.001). Also, only one patient was diagnosed with rheumatoid arthritis (RA). Conclusion: Autoimmune manifestations are common in HIV-infected Uygur patients. Several autoantibodies are positive, but the coincidence of rheumatic diseases is rare. It's noted that patients with autoimmune manifestations should be considered as a differential diagnosis of HIV infection.

Toll-like receptors and radiation protection

Exposure to ionizing radiation (IR) causes severe injuries to the human body, and normal tissue toxicity also limits the further application of cancer radiotherapy. However, current clinically used radioprotective agents are difficult to produce satisfactory effects. Toll-Like receptor (TLR) is a kind of pattern recognition receptor (PRR) that has been extensively studied for radioprotection in recent years. Several TLR family members are closely related to radioprotection. In cultured cells, TLR2, TLR5 or TLR9 agonist was proved to inhibit radiation-induced apoptosis and increase cell survival. TLR5 ligand CBLB502 was reported to alleviate bone marrow and intestinal injuries in mice and rhesus monkeys. Activation of TLR4 by its agonist LPS can protect bone marrow damage and lower mice mortality after irradiation. TLR9 ligand also exhibited protective effects on mid jejunum. Moreover, some kinds of TLR agonists, such as TLR2/6 co-agonist CBLB613, were reported to be more effective in radioprotection than single TLR agonist. In conclusion, TLRs and their ligands provide novel strategies for radiation protection in nuclear accidents as well as protection of normal tissues during cancer radiotherapy.