Parallel CNN-Deep Learning Clinical-Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients.

BACKGROUND: Traditional biopsies pose risks and may not accurately reflect soft tissue sarcoma (STS) heterogeneity. MRI provides a noninvasive, comprehensive alternative. PURPOSE: To assess the diagnostic accuracy of histological grading and prognosis in STS patients when integrating clinical-imaging parameters with deep learning (DL) features from preoperative MR images. STUDY TYPE: Retrospective/prospective. POPULATION: 354 pathologically confirmed STS patients (226 low-grade, 128 high-grade) from three hospitals and the Cancer Imaging Archive (TCIA), divided into training (n = 185), external test (n = 125), and TCIA cohorts (n = 44). 12 patients (6 low-grade, 6 high-grade) were enrolled into prospective validation cohort. FIELD STRENGTH/SEQUENCE: 1.5 T and 3.0 T/Unenhanced T1-weighted and fat-suppressed-T2-weighted. ASSESSMENT: DL features were extracted from MR images using a parallel ResNet-18 model to construct DL signature. Clinical-imaging characteristics included age, gender, tumor-node-metastasis stage and MRI semantic features (depth, number, heterogeneity at T1WI/FS-T2WI, necrosis, and peritumoral edema). Logistic regression analysis identified significant risk factors for the clinical model. A DL clinical-imaging signature (DLCS) was constructed by incorporating DL signature with risk factors, evaluated for risk stratification, and assessed for progression-free survival (PFS) in retrospective cohorts, with an average follow-up of 23 ± 22 months. STATISTICAL TESTS: Logistic regression, Cox regression, Kaplan-Meier curves, log-rank test, area under the receiver operating characteristic curve (AUC)，and decision curve analysis. A P-value <0.05 was considered significant. RESULTS: The AUC values for DLCS in the external test, TCIA, and prospective test cohorts (0.834, 0.838, 0.819) were superior to clinical model (0.662, 0.685, 0.694). Decision curve analysis showed that the DLCS model provided greater clinical net benefit over the DL and clinical models. Also, the DLCS model was able to risk-stratify patients and assess PFS. DATA CONCLUSION: The DLCS exhibited strong capabilities in histological grading and prognosis assessment for STS patients, and may have potential to aid in the formulation of personalized treatment plans. TECHNICAL EFFICACY: Stage 2.

Compare deep learning model and conventional logistic regression model for the identification of unstable saccular intracranial aneurysms in computed tomography angiography.

Background: It is crucial to distinguish unstable from stable intracranial aneurysms (IAs) as early as possible to derive optimal clinical decision-making for further treatment or follow-up. The aim of this study was to investigate the value of a deep learning model (DLM) in identifying unstable IAs from computed tomography angiography (CTA) images and to compare its discriminatory ability with that of a conventional logistic regression model (LRM). Methods: From August 2011 to May 2021, a total of 1,049 patients with 681 unstable IAs and 556 stable IAs were retrospectively analyzed. IAs were randomly divided into training (64%), internal validation (16%), and test sets (20%). Convolutional neural network (CNN) analysis and conventional logistic regression (LR) were used to predict which IAs were unstable. The area under the curve (AUC), sensitivity, specificity and accuracy were calculated to evaluate the discriminating ability of the models. One hundred and ninety-seven patients with 229 IAs from Banan Hospital were used for external validation sets. Results: The conventional LRM showed 11 unstable risk factors, including clinical and IA characteristics. The LRM had an AUC of 0.963 [95% confidence interval (CI): 0.941-0.986], a sensitivity, specificity and accuracy on the external validation set of 0.922, 0.906, and 0.913, respectively, in predicting unstable IAs. In predicting unstable IAs, the DLM had an AUC of 0.771 (95% CI: 0.582-0.960), a sensitivity, specificity and accuracy on the external validation set of 0.694, 0.929, and 0.782, respectively. Conclusions: The CNN-based DLM applied to CTA images did not outperform the conventional LRM in predicting unstable IAs. The patient clinical and IA morphological parameters remain critical factors for ensuring IA stability. Further studies are needed to enhance the diagnostic accuracy.

Metaplastic regeneration in the mouse stomach requires a reactive oxygen species pathway.

In pyloric metaplasia, mature gastric chief cells reprogram via an evolutionarily conserved process termed paligenosis to re-enter the cell cycle and become spasmolytic polypeptide-expressing metaplasia (SPEM) cells. Here, we use single-cell RNA sequencing (scRNA-seq) following injury to the murine stomach to analyze mechanisms governing paligenosis at high resolution. Injury causes induced reactive oxygen species (ROS) with coordinated changes in mitochondrial activity and cellular metabolism, requiring the transcriptional mitochondrial regulator Ppargc1a (Pgc1α) and ROS regulator Nf2el2 (Nrf2). Loss of the ROS and mitochondrial control in Ppargc1a-/- mice causes the death of paligenotic cells through ferroptosis. Blocking the cystine transporter SLC7A11(xCT), which is critical in lipid radical detoxification through glutathione peroxidase 4 (GPX4), also increases ferroptosis. Finally, we show that PGC1α-mediated ROS and mitochondrial changes also underlie the paligenosis of pancreatic acinar cells. Altogether, the results detail how metabolic and mitochondrial changes are necessary for injury response, regeneration, and metaplasia in the stomach.

Gastric intestinal metaplasia: progress and remaining challenges.

Most gastric cancers arise in the setting of chronic inflammation which alters gland organization, such that acid-pumping parietal cells are lost, and remaining cells undergo metaplastic change in differentiation patterns. From a basic science perspective, recent progress has been made in understanding how atrophy and initial pyloric metaplasia occur. However, pathologists and cancer biologists have long been focused on the development of intestinal metaplasia patterns in this setting. Arguably, much less progress has been made in understanding the mechanisms that lead to the intestinalization seen in chronic atrophic gastritis and pyloric metaplasia. One plausible explanation for this disparity lies in the notable absence of reliable and reproducible small animal models within the field, which would facilitate the investigation of the mechanisms underlying the development of gastric intestinal metaplasia (GIM). This review offers an in-depth exploration of the current state of research in GIM, shedding light on its pivotal role in tumorigenesis. We delve into the histological subtypes of GIM and explore their respective associations with tumor formation. We present the current repertoire of biomarkers utilized to delineate the origins and progression of GIM and provide a comprehensive survey of the available, albeit limited, mouse lines employed for modeling GIM and engage in a discussion regarding potential cell lineages that serve as the origins of GIM. Finally, we expound upon the myriad signaling pathways recognized for their activity in GIM and posit on their potential overlap and interactions that contribute to the ultimate manifestation of the disease phenotype. Through our exhaustive review of the progression from gastric disease to GIM, we aim to establish the groundwork for future research endeavors dedicated to elucidating the etiology of GIM and developing strategies for its prevention and treatment, considering its potential precancerous nature.

Relationship between the impacted mandibular third molar and adjacent second molar' external root resorption by conebean computed tomography analysi / Relación entre la reabsorción de la raíz externa del tercer molar mandibular impactado y el segundo molar adyacente mediante análisis de tomografía computarizada de cono

Background: The relationship between the impacted mandibular third molar (IMTM) and the external root re-sorption (ERR) of the mandibular second molar (MSM) was analysed with cone-beam computed tomography(CBCT). The risk factors affecting the ERR of the MSM were examined to provide a reference.Material and Methods: A total of 327 patients (total: 578 teeth) admitted to the Affiliated Hospital of YanbianUniversity for IMTM extraction from January 2017 to December 2019 was chosen and divided according togender and age. The correlation between the IMTM and ERR of MSM was analysed, including inclination angle,impaction direction and depth. The relationship of mandibular ascending ramus classification with ERR of MSMwas also analysed. In addition, the correlation between the MTM impaction type and the severity of ERR wasanalysed.Results: The incidence of ERR of MSM in male patients was higher than in females (27.9% vs.17.6%, p = 0.018).The occurrence and the site of ERR showed statistical differences in the inclination angle [(≤20°, 3.6%) vs. (21°-40°, 27.1%) vs. (41°-60°, 27.6%) vs. (61°-80°, 25.6%) vs. (>80°, 31.7%), p <0.001], impaction direction [(Vertical,1.1%) vs. (Mesial, 32.7%) vs. (Horizontal, 25.3%), p <0.001] and depth of MTM [(Low position, 38.6%) vs. (Medi-an position, 32.0%) vs. (High position, 13.7%), p <0.001]. Also, there was a significant difference in the mandib-ular ascending ramus type [(Class I, 17.4%) vs. (Class II, 32.3%) vs. (Class III, 44.9%), p <0.001]. In addition, theseverity of ERR showed statistical differences in the mesial (40.9%, p<0.05), lower impaction (54.5%, p<0.05)depth of MTM and type III of mandibular ascending ramus (63.6%, p<0.05).Conclusions: The inclination angle, impaction direction, and depth of MTM were the influencing factors for theoccurrence and site of ERR.(AU)

Integrated vector genomes may contribute to long-term expression in primate liver after AAV administration.

The development of liver-based adeno-associated virus (AAV) gene therapies is facing concerns about limited efficiency and durability of transgene expression. We evaluated nonhuman primates following intravenous dosing of AAV8 and AAVrh10 vectors for over 2 years to better define the mechanism(s) of transduction that affect performance. High transduction of non-immunogenic transgenes was achieved, although expression declined over the first 90 days to reach a lower but stable steady state. More than 10% of hepatocytes contained single nuclear domains of vector DNA that persisted despite the loss of transgene expression. Greater reductions in vector DNA and RNA were observed with immunogenic transgenes. Genomic integration of vector sequences, including complex concatemeric structures, were detected in 1 out of 100 cells at broadly distributed loci that were not in proximity to genes associated with hepatocellular carcinoma. Our studies suggest that AAV-mediated transgene expression in primate hepatocytes occurs in two phases: high but short-lived expression from episomal genomes, followed by much lower but stable expression, likely from integrated vectors.

Measuring Sleep Stages and Screening for Obstructive Sleep Apnea with a Wearable Multi-Sensor System in Comparison to Polysomnography.

Objective: To assess the performance of a wearable multi-sensor system (SensEcho) in comparison to polysomnography (PSG) in measuring sleep stages and searching for obstructive sleep apnea (OSA). Methods: Participants underwent overnight simultaneous monitoring using SensEcho and PSG in a sleep laboratory. SensEcho analyzed the recordings spontaneously, and PSG was assessed as per standard guidelines. The degree of snoring was evaluated according to the guidelines for the diagnosis and treatment of OSA hypopnea syndrome (2011 revision). The Epworth Sleepiness Scale (ESS) was used to assess general daytime sleepiness. Results: This study included 103 Han Chinese, 91 of whom (age 39.02 ± 13.84 years, body mass index 27.28 ± 5.12 kg/m2, 61.54% male) completed the assessments. The measures of total sleep time (P = 0.198); total wake time (P = 0.182); shallow sleep (P = 0.297), deep sleep (P = 0.422), rapid eye movement sleep (P = 0.570), and awake (P = 0.336) proportions were similar between SensEcho and PSG. Using an apnea-hypopnea index (AHI) cutoff of ≥ 5 events/h, the SensEcho had 82.69% sensitivity and 89.74% specificity. Almost the same results were obtained at an AHI threshold of ≥ 15 events/h. Although the specificity increased to 94.67%, it decreased to 43.75% at an AHI cutoff of ≥ 30 events/h. Conclusion: This study demonstrated that SensEcho can be used to evaluate sleep status and screen for OSA. Nevertheless, improving the accuracy of its assessment of severe OSA and further testing its effectiveness in community and home environments is necessary.

Single-cell sequencing of ascites fluid illustrates heterogeneity and therapy-induced evolution during gastric cancer peritoneal metastasis.

Peritoneal metastasis is the leading cause of death for gastrointestinal cancers. The native and therapy-induced ascites ecosystems are not fully understood. Here, we characterize single-cell transcriptomes of 191,987 ascites cancer/immune cells from 35 patients with/without gastric cancer peritoneal metastasis (GCPM). During GCPM progression, an increase is seen of monocyte-like dendritic cells (DCs) that are pro-angiogenic with reduced antigen-presenting capacity and correlate with poor gastric cancer (GC) prognosis. We also describe the evolution of monocyte-like DCs and regulatory and proliferative T cells following therapy. Moreover, we track GC evolution, identifying high-plasticity GC clusters that exhibit a propensity to shift to a high-proliferative phenotype. Transitions occur via the recently described, autophagy-dependent plasticity program, paligenosis. Two autophagy-related genes (MARCKS and TXNIP) mark high-plasticity GC with poorer prognosis, and autophagy inhibitors induce apoptosis in patient-derived organoids. Our findings provide insights into the developmental trajectories of cancer/immune cells underlying GCPM progression and therapy resistance.

[Study on anatomical parameters of adult lumbar intervertebral disc and endplate based on CT].

OBJECTIVE: To provide basic data for clinical application and individualized design of lumbar disc prostheses by measuring the anatomical parameters of lumbar intervertebral discs and endplates in healthy adults with CT three-dimensional reconstruction technology. METHODS: A retrospective analysis was performed on 200 males and 200 females with normal lumbar spine who were admitted to the imaging center or outpatient department of the Second Affiliated Hospital of Xinjiang Medical University from September 2019 to December 2020. The age ranged from 20 to 60 years old, with an average of (40.61±11.22) years old. The measurement segment was L1-S1 intervertebral disc, and the measurement indicators included the axial anteroposterior diameter and transverse diameter of the intervertebral disc, sagittal anterior, middle and posterior height, coronal left and right height, intervertebral space angle, and transverse and anteroposterior diameters of the upper and lower endplates of each vertebral body. RESULTS: ①In terms of gender, the anatomical parameters of L1-S1 disc axial diameter, transverse diameter, sagittal anterior, middle and posterior height, left and right coronal height and intervertebral space angle were all higher in males than in females(P<0.05), and the anatomical parameters of upper and lower endplates of L1-S1 vertebral body were higher in males than in females(P<0.001). ②In comparison of sagittal height of anterior, middle and posterior intervertebral discs, the sagittal height of L1-L5 intervertebral discs was middle-high > anterior-high > posterior-high(P<0.001), while that of L5S1 intervertebral disc was anterior-high > middle-high > posterior-high (P<0.001). ③In the comparison of left and right coronal height, there was no statistical significance in the left and right coronal height of L1-S1 disc between male and female(P>0.05). ④The L1-S1 intervertebral spaces angle between male and female increased with the increase of vertebral body segments. ⑤The anterior and posterior diameters and transverse diameters of upper and lower of L1-S1 vertebral bodies endplates were height in males than in females(P<0.001). CONCLUSION: The results suggest that gender differences should be considered in the design of adult lumbar disc prostheses. The anatomical parameters of the lumbar intervertebral disc varied with the increase of the vertebral body sequence, suggesting that different anatomical parameters of the intervertebral disc should be considered in the design of the artificial intervertebral disc, and the changes in the height of the sagittal position suggest that the design of the intervertebral disc should be wedge-shaped.

Cone-Beam Computed Tomography Analysis on the Relationship between the Mandibular Third Molar and the Position of the Mandibular Canal in Koreans from the Yanbian Area and the Han People.

Objective: To analyze differences in the positional relationships between the mandibular third molar (MTM) and the mandibular canal in Korean and Han patients using cone-beam computed tomography (CBCT) and to provide a basis for preoperative risk assessments. Materials and Methods: The CBCT imaging data of 260 Korean and Han patients were collected. The patients' genders, ages, impaction types and depths, relative positions between the MTMs and the mandibular nerve canals, and the shortest distances and shapes at the root tips and cortical bones were all recorded and analyzed. All data were compared using the nonparametric test, ordered logistic regression analysis, a chi-square test, and Fisher's exact test. Results: The relationship between the mandibular canal and the relative position of the MTM differed between Korean and Han patients, mainly in the different types of impactions, and the difference was statistically significant (P < 0.05). The shortest distance between the mesioangular and horizontally impacted mandibular canals and the buccal side of the MTM in Korean patients was less than in Han patients, and the difference was statistically significant (P < 0.05). For horizontal impactions, the probability of cortical bone interruption was 1.980 times greater in Korean patients than in Han patients, and the difference was statistically significant (P < 0.05). The significance threshold was set at 0.05. Conclusion: There are some differences in the positional relationship between the mandibular canal in the MTM region and the rate of cortical bone disruption between Koreans from the Yanbian area and the Hans. This should gain clinical attention.

Reliability and validity of the Chinese version of the Nightmare disorder index in adolescents.

The Nightmare Disorder Index Questionnaire (NDI) was developed to measure the impact of nightmares. The purpose of this study was to investigate the psychometric properties of NDI among Chinese adolescents. This study investigated the validity and internal consistency of the Nightmare Disorder Index Chinese (NDI-CV) among 6014 Chinese adolescents who completed the NDI-CV, Nightmare Distress Questionnaire-Chinese Version (NDQ-CV), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Chinese Adolescent Daytime Sleepiness Scale (CADSS), Generalized Anxiety Disorder-7 Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). In addition, we investigated the test-retest reliability of the NDI-CV among 423 adolescents who completed a retest of the NDI-CV after a 2-week interval. Finally, NDI-CV demonstrated good psychometric properties in a sample of Chinese adolescents (Cronbach's α coefficient of 0.876), and the 95% confidence interval for the 2-week retest correlation coefficient was 0.675-0.977 (p < 0.001).

Chain mediating effect of insomnia, depression, and anxiety on the relationship between nightmares and cognitive deficits in adolescents.

BACKGROUND: The study explored the differences in nightmare, insomnia, depression, anxiety, and cognitive deficits among adolescents and the chain mediating effects of insomnia, depression, and anxiety on the relationship between nightmares and cognitive deficits in adolescents. METHODS: An online survey was used to collect demographic data of 6014 adolescents and assess nightmare, insomnia, depression, anxiety, and cognitive deficits using the Chinese Version of Nightmare Distress Questionnaire, Insomnia Severity Index, Patient Health Questionnaire 9, Generalized Anxiety Disorder 7, and Perceived Deficits Questionnaire-Depression. Spearman correlation analysis and the SPSS function "PROCESS macro" were used for correlation and mediation analyses, respectively. RESULTS: Female adolescents, senior high school, and poor academic performance had higher nightmare, insomnia, and cognitive deficit scores; those living in the city had higher depression and anxiety scores. Cognitive deficits were positively correlated with nightmares, insomnia, depression, and anxiety. Further, insomnia, depression, and anxiety had a chain mediating effect between nightmares and cognitive deficits in adolescents. Nightmares indirectly affect cognition deficits by affecting insomnia and then depression and anxiety symptoms. LIMITATIONS: As this was a cross-sectional study, the causal relationship between the variables could not be determined. Moreover, reporting bias and volunteer bias might be present. CONCLUSIONS: These findings suggest that clinicians should identify adolescents with frequent nightmares early and provide timely treatment to minimize negative outcomes and possibly limit the chronicity of nightmare disorder. It is significant to maintain the physical and mental health development of adolescents to reduce the risk of insomnia, depression, anxiety, and cognitive deficits.

Study on anatomical parameters of adult lumbar intervertebral disc and endplate based on CT / 中国骨伤

OBJECTIVE@#To provide basic data for clinical application and individualized design of lumbar disc prostheses by measuring the anatomical parameters of lumbar intervertebral discs and endplates in healthy adults with CT three-dimensional reconstruction technology.@*METHODS@#A retrospective analysis was performed on 200 males and 200 females with normal lumbar spine who were admitted to the imaging center or outpatient department of the Second Affiliated Hospital of Xinjiang Medical University from September 2019 to December 2020. The age ranged from 20 to 60 years old, with an average of (40.61±11.22) years old. The measurement segment was L1-S1 intervertebral disc, and the measurement indicators included the axial anteroposterior diameter and transverse diameter of the intervertebral disc, sagittal anterior, middle and posterior height, coronal left and right height, intervertebral space angle, and transverse and anteroposterior diameters of the upper and lower endplates of each vertebral body.@*RESULTS@#①In terms of gender, the anatomical parameters of L1-S1 disc axial diameter, transverse diameter, sagittal anterior, middle and posterior height, left and right coronal height and intervertebral space angle were all higher in males than in females(P<0.05), and the anatomical parameters of upper and lower endplates of L1-S1 vertebral body were higher in males than in females(P<0.001). ②In comparison of sagittal height of anterior, middle and posterior intervertebral discs, the sagittal height of L1-L5 intervertebral discs was middle-high > anterior-high > posterior-high(P<0.001), while that of L5S1 intervertebral disc was anterior-high > middle-high > posterior-high (P<0.001). ③In the comparison of left and right coronal height, there was no statistical significance in the left and right coronal height of L1-S1 disc between male and female(P>0.05). ④The L1-S1 intervertebral spaces angle between male and female increased with the increase of vertebral body segments. ⑤The anterior and posterior diameters and transverse diameters of upper and lower of L1-S1 vertebral bodies endplates were height in males than in females(P<0.001).@*CONCLUSION@#The results suggest that gender differences should be considered in the design of adult lumbar disc prostheses. The anatomical parameters of the lumbar intervertebral disc varied with the increase of the vertebral body sequence, suggesting that different anatomical parameters of the intervertebral disc should be considered in the design of the artificial intervertebral disc, and the changes in the height of the sagittal position suggest that the design of the intervertebral disc should be wedge-shaped.

Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study / 中华医学杂志(英文版)

BACKGROUND@#Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia.@*METHODS@#In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared.@*RESULTS@#A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05).@*CONCLUSIONS@#The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.

Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer.

BACKGROUND: Tumor deposits (TDs) are not equivalent to lymph node (LN) metastasis (LNM) but have become independent adverse prognostic factors in patients with rectal cancer (RC). Although preoperatively differentiating TDs and LNMs is helpful in designing individualized treatment strategies and achieving improved prognoses, it is a challenging task. AIM: To establish a computed tomography (CT)-based radiomics model for preoperatively differentiating TDs from LNM in patients with RC. METHODS: This study retrospectively enrolled 219 patients with RC [TDs+LNM- (n = 89); LNM+ TDs- (n = 115); TDs+LNM+ (n = 15)] from a single center between September 2016 and September 2021. Single-positive patients (i.e., TDs+LNM- and LNM+TDs-) were classified into the training (n = 163) and validation (n = 41) sets. We extracted numerous features from the enhanced CT (region 1: The main tumor; region 2: The largest peritumoral nodule). After deleting redundant features, three feature selection methods and three machine learning methods were used to select the best-performing classifier as the radiomics model (Rad-score). After validating Rad-score, its performance was further evaluated in the field of diagnosing double-positive patients (i.e., TDs+LNM+) by outlining all peritumoral nodules with diameter (short-axis) > 3 mm. RESULTS: Rad-score 1 (radiomics signature of the main tumor) had an area under the curve (AUC) of 0.768 on the training dataset and 0.700 on the validation dataset. Rad-score 2 (radiomics signature of the largest peritumoral nodule) had a higher AUC (training set: 0.940; validation set: 0.918) than Rad-score 1. Clinical factors, including age, gender, location of RC, tumor markers, and radiological features of the largest peritumoral nodule, were excluded by logistic regression. Thus, the combined model was comprised of Rad-scores of 1 and 2. Considering that the combined model had similar AUCs with Rad-score 2 (P = 0.134 in the training set and 0.594 in the validation set), Rad-score 2 was used as the final model. For the diagnosis of double-positive patients in the mixed group [TDs+LNM+ (n = 15); single-positive (n = 15)], Rad-score 2 demonstrated moderate performance (sensitivity, 73.3%; specificity, 66.6%; and accuracy, 70.0%). CONCLUSION: Radiomics analysis based on the largest peritumoral nodule can be helpful in preoperatively differentiating between TDs and LNM.

The Efficacy and Safety of Celecoxib in Addition to Standard Cancer Therapy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

The purpose of this meta-analysis was to evaluate the efficacy and safety of celecoxib, a selective cyclooxygenase-2 (COX-2) inhibitor, in addition to standard anticancer therapy. Randomized controlled trials (RCTs) that evaluated the efficacy and safety of celecoxib-combined cancer therapy were systematically searched in PubMed and Embase databases. The endpoints were overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), objective response rate (ORR), disease control rate (DCR), pathological complete response (pCR), and adverse events (AEs). The results of 30 RCTs containing 9655 patients showed limited benefits in celecoxib-combined cancer therapy. However, celecoxib-combined palliative therapy prolonged PFS in epidermal growth factor receptor (EGFR) wild-type patients (HR = 0.57, 95%CI = 0.35-0.94). Moreover, despite a slight increase in thrombocytopenia (RR = 1.35, 95%CI = 1.08-1.69), there was no increase in other toxicities. Celecoxib combined with adjuvant therapy indicated a better OS (HR = 0.850, 95%CI = 0.725-0.996). Furthermore, celecoxib plus neoadjuvant therapy improved the ORR in standard cancer therapy, especially neoadjuvant therapy (overall: RR = 1.13, 95%CI = 1.03-1.23; neoadjuvant therapy: RR = 1.25, 95%CI = 1.09-1.44), but not pCR. Our study indicated that adding celecoxib to palliative therapy prolongs the PFS of EGFR wild-type patients, with good safety profiles. Celecoxib combined with adjuvant therapy prolongs OS, and celecoxib plus neoadjuvant therapy improves the ORR. Thus, celecoxib-combined cancer therapy may be a promising therapy strategy.

Nightmare Distress as a Risk Factor for Suicide Among Adolescents with Major Depressive Disorder.

Purpose: Nightmare is common and is also independently implicated in suicide risk among the adolescent population. Adolescents with major depressive disorder (MDD) are at an increased risk of suicide. Therefore, comorbid nightmares may amplify suicide risk among this clinical population. This study aimed to explore the effects of nightmares on suicide risk among adolescents with MDD. Patients and Methods: Subjects were 499 outpatients aged 12-18 in four large psychiatric hospitals clinic of China, from January 1 to October 31, 2021. Simultaneously, we matched 499 healthy controls according to gender and age. All participants underwent affective state (depressive and anxiety symptoms) and sleep variable (nightmare frequency/distress, insomnia symptoms, and daytime sleepiness) evaluation as well as MDD diagnoses and determination of suicide risk by a fully structured diagnostic clinical interview. Results: Adolescents with MDD reported a higher incidence of frequent nightmares (at least one night per week) and level of nightmare distress than healthy controls (22.0% vs 6.1%; 28.85 ± 11.92 vs 17.30 ± 5.61). Over half of the patients with suicide risk (51.6%) experienced frequent nightmares compared with approximately one-third of those at a risk for suicide (30.7%). Patients with suicide risk scored scientifically higher on sleep variables, depressive and anxiety symptoms than those without the risk. Further logistic regression analysis indicated that female gender, junior grade, recurrent depressive episode, severe nightmare distress and severe depressive symptoms were independently and significantly associated with suicide risk. Conclusion: Our study provided evidence that adolescents with MDD experienced a higher prevalence of frequent nightmares and suffered more nightmare distress. Nightmare distress is an independent risk factor for suicide risk.

Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study.

Objectives: To build and evaluate a deep learning radiomics nomogram (DLRN) for preoperative prediction of lung metastasis (LM) status in patients with soft tissue sarcoma (STS). Methods: In total, 242 patients with STS (training set, n=116; external validation set, n=126) who underwent magnetic resonance imaging were retrospectively enrolled in this study. We identified independent predictors for LM-status and evaluated their performance. The minimum redundancy maximum relevance (mRMR) method and least absolute shrinkage and selection operator (LASSO) algorithm were adopted to screen radiomics features. Logistic regression, decision tree, random forest, support vector machine (SVM), and adaptive boosting classifiers were compared for their ability to predict LM. To overcome the imbalanced distribution of the LM data, we retrained each machine-learning classifier using the synthetic minority over-sampling technique (SMOTE). A DLRN combining the independent clinical predictors with the best performing radiomics prediction signature (mRMR+LASSO+SVM+SMOTE) was established. Area under the receiver operating characteristics curve (AUC), calibration curves, and decision curve analysis (DCA) were used to assess the performance and clinical applicability of the models. Result: Comparisons of the AUC values applied to the external validation set revealed that the DLRN model (AUC=0.833) showed better prediction performance than the clinical model (AUC=0.664) and radiomics model (AUC=0.799). The calibration curves indicated good calibration efficiency and the DCA showed the DLRN model to have greater clinical applicability than the other two models. Conclusion: The DLRN was shown to be an accurate and efficient tool for LM-status prediction in STS.

Relationship Between Affective Temperaments and Suicide Risk in Patients With First-Onset Major Depressive Disorder.

Background: People may endorse suicidal behavior during a major depressive episode. Affective temperaments may play a role in this risk. We explored the relationship between affective temperaments and suicide and identified some traits that can predict suicide risk in depression. Materials and Methods: We analyzed the results of the Temperament Evaluation of the Memphis, Pisa, Paris, and San Diego Auto-questionnaire (TEMPS-A) in 284 participants recruited from a psychiatric clinic and the community in Beijing and compared the subscale scores (temperaments of cyclothymic, dysthymic, anxious, irritable, and hyperthymic) among major depressive disorders (MDDs) vs. the general population as well as depressive patients with vs. without suicide risk, using Student's test, chi-square test, rank-sum test, and multivariable regression modeling. Results: The incidence of suicidal risk in depressive subjects was 47.62% (80/168). Being unmarried (p < 0.001), unemployed (p = 0.007), and temperaments of dysthymic, cyclothymic, anxious, and irritable scores (all p < 0.001) were significantly more prevalent in patients with depression than in the general population. Young age (p < 0.001), female sex (p = 0.037), unmarried (p = 0.001), more severe depression (p < 0.001), and dysthymic, anxious, and cyclothymic temperament (all p < 0.05) were significantly more prevalent in patients with depressive disorder than those without suicide risk. The logistic regression analysis showed that younger age (odds ratio [OR] = 0.937, 95% CI 0.905∼0.970), female sex (OR = 2.606, 95% CI 1.142∼5.948), more severe depression (OR = 1.145, 95% CI 1.063∼1.234), cyclothymic temperament (OR = 1.275, 95% CI 1.102∼1.475), and dysthymic temperament (OR = 1.265, 95% CI 1.037∼1.542) were all independently associated with high suicidal risk in patients with first-onset major depression (p < 0.05). Conclusion: Temperament traits differ between the general population and people suffering from MDD. Subjects with MDD who have much more severe depressive symptoms and a cyclothymic or dysthymic temperament were at a high risk of suicide.

Associations between experienced aggression, poor sleep, and suicide risk among Chinese adolescents.

STUDY OBJECTIVES: The physical and mental health of adolescents is an important study area. This study aims to examine the occurrence of aggression, sleep disturbances, and suicide risk among Chinese adolescents, along with the relationships between these factors. METHODS: This is a cross-sectional study conducted through an online survey. Of the original 7011 Chinese adolescent respondents, the analysis included data from 6122 adolescents, aged between 12 and 18 years, from 23 regions, whose average age was 16.12 (±1.44) years, with 48.8% being male. While the chi-square test and t-test were used for analyzing demographic data and continuous variables, respectively, mediation analysis was used to explore the mechanism of experiencing aggression on suicide risk. The respondents' sleep quality, nightmare distress, daytime sleepiness, fatigue, and suicide risk were assessed using the Pittsburgh Sleep Quality Index (PSQI), Nightmare Distress Questionnaire-Chinese version (NDQ-CV), Chinese Adolescent Daytime Sleepiness Scale (CADSS), Multidimensional Fatigue Inventory (MFI-20), and the suicide risk module of the Mini-International Neuropsychiatric Interview (MINI), respectively. Four items were used to assess adolescents' experiences with aggression. RESULTS: Of the respondents, 42% reported experiencing aggression by others, especially parental physical maltreatment. Furthermore, 26.9% of adolescents in school, and in particular, 31.8% in senior high school experienced insomnia symptoms. Adolescents who reported experiences of aggression had more severe insomnia symptoms, nightmare distress, fatigue, and a higher risk of suicide when compared with those who did not (all ps < 0.001). Insomnia symptoms, nightmare distress, and fatigue all mediated the relationship between aggression and suicide risk, and there was a chain of mediating effects between these factors [for total indirect effect ß = 1.1512, 95% CI (0.9671 to 1.3426), direct effect ß = 0.4934, 95% CI (0.1978 to 0.7891), and total effect ß = 1.6446, 95% CI (1.3479 to 1.9414)]. CONCLUSIONS: Our findings indicate that among adolescents, experiencing aggression is associated with an increased suicide risk. In addition to the direct effect of aggression on suicide risk, insomnia, nightmare distress, and fatigue mediate the relationship between aggression and suicide risk. More attention should be paid to adolescents experiencing aggression, and interventions should be implemented and strengthened.