bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria
Authors: Liu Xiang , Wang Rui , Zhu Zemin , Wang Kexin , Gao Yue , Li Jialun , Zhang Yaofeng , Wang Xiangpeng , Zhang Xiaodong , Wang Xiaoying 
Published: December 2022

Abstract
Background
Evaluation of treated tumors according to Response Evaluation Criteria in Solid Tumors (RECIST) criteria is an important but time-consuming task in medical imaging. Deep learning methods are expected to automate the evaluation process and improve the efficiency of imaging interpretation.

Objective
To develop an automated algorithm for segmentation of liver metastases based on a deep learning method and assess its efficacy for treatment response assessment according to the RECIST 1.1 criteria.

Methods
One hundred and sixteen treated patients with clinically confirmed liver metastases were enrolled. All patients had baseline and post-treatment MR images. They were divided into an initial (n = 86) and validation cohort (n = 30) according to the examined time. The metastatic foci on DWI images were annotated by two researchers in consensus. Then the treatment responses were assessed by the two researchers according to RECIST 1.1 criteria. A 3D U-Net algorithm was trained for automated liver metastases segmentation using the initial cohort. Based on the segmentation of liver metastases, the treatment response was assessed automatically with a rule-based program according to the RECIST 1.1 criteria. The segmentation performance was evaluated using the Dice similarity coefficient (DSC), volumetric similarity (VS), and Hausdorff distance (HD). The area under the curve (AUC) and Kappa statistics were used to assess the accuracy and consistency of the treatment response assessment by the deep learning model and compared with two radiologists [attending radiologist (R1) and fellow radiologist (R2)] in the validation cohort.

Results
In the validation cohort, the mean DSC, VS, and HD were 0.85 ± 0.08, 0.89 ± 0.09, and 25.53 ± 12.11 mm for the liver metastases segmentation. The accuracies of R1, R2 and automated segmentation-based assessment were 0.77, 0.65, and 0.74, respectively, and the AUC values were 0.81, 0.73, and 0.83, respectively. The consistency of treatment response assessment based on automated segmentation and manual annotation was moderate [K value: 0.60 (0.34–0.84)].

Conclusion
The deep learning-based liver metastases segmentation was capable of evaluating treatment response according to RECIST 1.1 criteria, with comparable results to the junior radiologist and superior to that of the fellow radiologist.
Exosome-transmitted circ_002136 promotes hepatocellular carcinoma progression by miR-19a-3p/RAB1A pathway
Authors: Yuan Peng , Song Jinhua , Wang Fei , Chen Baoan 
Published: December 2022

Abstract
Background
Circular RNAs (circRNAs) are enriched in exosomes and are extremely stable. Exosome-mediated intercellular transfer of specific biologically active circRNA molecules can drive the transformation of the tumor microenvironment and accelerate or inhibit the local spread and multifocal growth of hepatocellular carcinoma (HCC). In this study, we explored in depth about the biological roles of HCC cell-derived exosomes and exosome-transported circRNAs on HCC in vivo and in vitro.

Methods
Exosomes extracted from HCC cells (Huh7 and HA22T) were characterized using transmission electron microscopy, nanoparticle size tracer analysis, and western blotting. Exosomes were observed for endocytosis using fluorescent labeling. The effects of HCC cell-derived exosomes and the circ_002136 they carried on cell growth, metastasis and apoptosis were determined by CCK-8 assay, transwell assay, flow cytometry analysis and TUNEL staining, respectively. The expressions of circ_002136, miR-19a-3p and RAB1A were detected by quantitative RT-PCR (qRT-PCR). Targeted binding between miR-19a-3p and circ_002136 or RAB1A was predicted and verified by bioinformatics analysis, dual-luciferase reporter and RNA pull-down experiments. The in vivo effect of circ_002136 was determined by constructing a xenograft tumor model.

Results
The findings revealed that Huh7 and HA22T exosomes conferred enhanced viability as well as invasive ability to recipient HCC cells. Circ_002136 was shown for the first time to be differentially upregulated in HCC tissues and cells and transferred by HCC cell-derived exosomes. More importantly, selective silencing of circ_002136 depleted the malignant biological behaviors of HCC exosome-activated Huh7 and HA22T cells. Depletion of circ_002136 in vivo effectively retarded the growth of HCC xenograft tumors. Furthermore, a well-established circ_002136 ceRNA regulatory network was constructed, namely circ_002136 blocked miR-19a-3p expression, elevated RAB1A expression activity and stimulated HCC development. Finally, high levels of circ_002136 or RAB1A, as well as low levels of miR-19a-3p, negatively affected HCC patient survival.

Conclusion
The study on circ_002136 provides good data to support our insight into the mechanism of to-be-silenced circRNA as a therapeutic agent in the progression of HCC.
To what extent do Australian child and youth health, and education wellbeing policies, address the social determinants of health and health equity?: a policy analysis study
Authors: Littleton Clare , Reader Caitlin 
Published: December 2022

Abstract
Background
Children and youth are an important population group requiring specific policies to address their needs. In Australia, most children and youth are doing well, however, certain equity groups are not. To address child and youth health equity in policy, applying a social determinants of health approach is considered best practice. For over 10 years governments in Australia have been called upon to address the social determinants of health, however, there has been limited action. Health and education departments are typically most involved in policy development for children and youth. To date, there have been limited systematic analyses of Australian child and youth health policies, and selected education wellbeing policies, with a social determinants of health and health equity focus and this study aims to contribute to addressing this gap.

Methods
Policy analysis was conducted across 26 Australian child and youth health policies, and selected education wellbeing policies. We used an existing prior coding framework to understand the extent the social determinants of health and health equity were addressed. All policies were strategic level and only included if dated 2009 onwards.

Results
Across 26 selected policies only 10% of strategies addressed the social determinants of health, demonstrating a lack of policy action. However, there is relatively even focus on all developmental stages, and an increased focus on youth. Equity is acknowledged across most policies with some groups receiving more attention including Aboriginal and Torres Strait Islander children. The social determinants of health addressed, to some degree, include early childhood development, education, parental workplace conditions, healthy settings, and housing, those least mentioned include public transport and regulation.

Conclusion
This study demonstrates a lack of policy action on the social determinants of health within Australian child and youth health policy, and selected education wellbeing policies. Rather, the application of a siloed, and predominantly acute care approach. However, there is recognition of equity across all policies; an emphasis on housing as a determinant of health; and a link between health and education departments through education wellbeing policies, specifically addressing the issue of mental health.
Caries detection with tooth surface segmentation on intraoral photographic images using deep learning
Authors: Park Eun Young , Cho Hyeonrae , Kang Sohee , Jeong Sungmoon , Kim Eun-Kyong 
Published: December 2022

Abstract
Background
Intraoral photographic images are helpful in the clinical diagnosis of caries. Moreover, the application of artificial intelligence to these images has been attempted consistently. This study aimed to evaluate a deep learning algorithm for caries detection through the segmentation of the tooth surface using these images.

Methods
In this prospective study, 2348 in-house intraoral photographic images were collected from 445 participants using a professional intraoral camera at a dental clinic in a university medical centre from October 2020 to December 2021. Images were randomly assigned to training (1638), validation (410), and test (300) datasets. For image segmentation of the tooth surface, classification, and localisation of caries, convolutional neural networks (CNN), namely U-Net, ResNet-18, and Faster R-CNN, were applied.

Results
For the classification algorithm for caries images, the accuracy and area under the receiver operating characteristic curve were improved to 0.813 and 0.837 from 0.758 to 0.731, respectively, through segmentation of the tooth surface using CNN. Localisation algorithm for carious lesions after segmentation of the tooth area also showed improved performance. For example, sensitivity and average precision improved from 0.890 to 0.889 to 0.865 and 0.868, respectively.

Conclusion
The deep learning model with segmentation of the tooth surface is promising for caries detection on photographic images from an intraoral camera. This may be an aided diagnostic method for caries with the advantages of being time and cost-saving.
Frequency of cervical premalignant lesions in the gynecologic patients of a tertiary hospital in Mogadishu, Somalia
Authors: Kurtay Sabri , Ali Khadija Yusuf , Hussein Ahmed Issak 
Published: December 2022

Abstract
Background
Cervical cancer is the fourth most common cancer worldwide and is the most frequently diagnosed cancer in 23 countries and the most common cause of death in 36 countries, mostly from Sub-Saharan African countries. Cervical screening is a key element to reduce the incidence and mortality of cervical cancer. Cancer screening is low in Sub-Saharan Africa. This study aims to provide information about cervical premalignant lesions frequency in Somalia.

Methods
The pathology results of cervicovaginal smear samples obtained from patients aged 25–65 years who applied to the gynecology outpatient clinic between October 5 and December 5, 2021 were analyzed retrospectively. SPSS 22.0 was used for the statistical analysis of the data.

Result
Among the 497 results, 63 premalignant lesions were detected. The rate of premalignant lesions (63/497) was found to be 12.3%. The most common premalignant lesion was atypical squamous cells of undetermined significance (ASC-US).

Conclusion
In this study, the frequency of cervical premalignant lesions in Somalia was found to be higher than in the literature. Vaccination, screening, and early diagnosis are the most important components in the fight against cervical cancer. Access to vaccination, screening, and early diagnosis, which are the most important components in the fight against cervical cancer in Somalia, will be possible with the cooperation of the national health system and international organizations.
The impact of working in COVID-19 hospital on indonesian nurses’ mental health and wellbeing: a qualitative study
Authors: Asa Gregorius Abanit , Fauk Nelsensius Klau , Ratu Melkianus , Ward Paul Russell 
Published: December 2022

Abstract
Background
The outbreak of coronavirus disease (COVID-19) has impacted the lives of more than 580 million people and killed more than six million people globally. Nurses are one of the most impacted groups as they are at the frontline to fight against the virus and to try to save the lives of everyone affected. The present study aimed to explore the impact of working in COVID-19 wards on the mental health and wellbeing of nurses in the early stage of the pandemic in a hospital in East Nusa Tenggara, Indonesia.

Methods
A qualitative study was conducted with 22 nurses, recruited using purposive sampling. Data collection was conducted from April to May 2022 and data analysis was guided by qualitative framework analysis.

Results
The findings show that nurses experienced a range of mental health impacts including fear of being infected and infecting loved ones; fear of early death; psychological distress related to the conflict between the lack of personal protective equipment (PPE) and both professionalism and moral responsibility for patients; stress due to long waiting period to know the result of the COVID-19 tests; stress and worry due to public indifference and lack of role models; the negative impact of community doubt and distrust around COVID-19; and distress due to stigma and discrimination towards nurses caring for COVID-19 patients and their families.

Conclusions
The current findings indicate further psychological intervention programs to support nurses, especially the ones in resource poor settings and enhance their psychological resilience.
The development of the concept of return-on-investment from large-scale quality improvement programmes in healthcare: an integrative systematic literature review
Authors: Thusini S’thembile , Milenova Maria , Nahabedian Noushig , Grey Barbara , Soukup Tayana , Chua Kia-Chong , Henderson Claire 
Published: December 2022

AbstractBackgroundReturn on Investment (ROI) is increasingly being used to evaluate financial benefits from healthcare Quality Improvement (QI). ROI is traditionally used to evaluate investment performance in the commercial field. Little is known about ROI in healthcare. The aim of this systematic review was to analyse and develop ROI as a concept and develop a ROI conceptual framework for large-scale healthcare QI programmes.MethodsWe searched Medline, Embase, Global health, PsycInfo, EconLit, NHS EED, Web of Science, Google Scholar using ROI or returns-on-investment concepts (e.g., cost–benefit, cost-effectiveness, value). We combined this terms with healthcare and QI. Included articles discussed at least three organisational QI benefits, including financial or patient benefits. We synthesised the different ways in which ROI or return-on-investment concepts were used and discussed by the QI literature; first the economically focused, then the non-economically focused QI literature. We then integrated these literatures to summarise their combined views.ResultsWe retrieved 10 428 articles. One hundred and two (102) articles were selected for full text screening. Of these 34 were excluded and 68 included. The included articles were QI economic, effectiveness, process, and impact evaluations as well as reports and conceptual literature. Fifteen of 68 articles were directly focused on QI programme economic outcomes. Of these, only four focused on ROI. ROI related concepts in this group included cost-effectiveness, cost–benefit, ROI, cost-saving, cost-reduction, and cost-avoidance. The remaining articles mainly mentioned efficiency, productivity, value, or benefits. Financial outcomes were not the main goal of QI programmes. We found that the ROI concept in healthcare QI aligned with the concepts of value and benefit, both monetary and non-monetary.ConclusionOur analysis of the reviewed literature indicates that ROI in QI is conceptualised as value or benefit as demonstrated through a combination of significant outcomes for one or more stakeholders in healthcare organisations. As such, organisations at different developmental stages can deduce benefits that are relevant and legitimate as per their contextual needs.Trial registrationReview registration: PROSPERO; CRD42021236948.
Impact evaluation of long-lasting insecticidal nets distribution campaign on malaria cases reported at outpatient departments across all the regions in Ghana
Authors: Afagbedzi Seth Kwaku , Alhassan Yakubu , Guure Chris 
Published: December 2022

Abstract
Background
Malaria remains the biggest public health challenge globally, and Ghana is among the 15 highest burden malaria countries in the world, with 2% of global malaria cases and 3% deaths in 2019. This study sought to assess the impact of mass LLIN distribution campaign on malaria morbidity using all health facilities outpatient data across 15 regions of Ghana.

Methods
Data for this study was obtained from the DHIMS2 for health facilities providing OPD and malaria services in Ghana. This was an ecological study that employed the difference-in-difference approach to assess the change in proportion of uncomplicated confirmed malaria cases among OPDs in all types of health facilities in Ghana between 2015 and 2019 following the mass distribution campaign of LLINs in 2018. Malaria cases at the OPDs before and after the free LLIN mass distribution exercise were evaluated.

Results
The trend of the proportion of OPD cases that were confirmed uncomplicated malaria cases increased from 14.8% in 2015 to 18.9% in 2019 at the national level. The average proportion of malaria cases among OPDs in Ghana in 2019 reduced against the expected by − 3.76% (95% CI − 4.69 to − 2.84], p<0.001) among all cases, − 4.52% (95% CI [− 5.70 to − 3.34], p<0.001) among children under-fives years, − 4.10% (95% CI − 5.3 to 2.9], p<0.001) among female children under-five and − 5.18% (95% CI [− 6.33 to − 4.02], p<0.001) among male children under-five. The reduction on the average proportion of malaria cases among OPDs varied significantly across regions and the type of health facilities.

Conclusion
The mass distribution of LLINs across Ghana in 2018 can be associated with reduction in the proportion of malaria cases among OPDs across health facilities in Ghana. The study recommends the biannual mass distribution campaigns especially in the high-density regions.
Molecular surveillance of artemisinin resistance-related Pfk13 and pfcrt polymorphisms in imported Plasmodium falciparum isolates reported in eastern China from 2015 to 2019
Authors: Kong Xiangli , Feng Jun , Xu Yan , Yan Ge , Zhou Shuisen 
Published: December 2022

Abstract
Background
Artemisinin-based combination therapy (ACT) has been recommended as the first-line treatment by the World Health Organization to treat uncomplicated Plasmodium falciparum malaria. However, the emergence and spread of P. falciparum resistant to artemisinins and their partner drugs is a significant risk for the global effort to reduce disease burden facing the world. Currently, dihydroartemisinin-piperaquine (DHA-PPQ) is the most common drug used to treat P. falciparum, but little evidence about the resistance status targeting DHA (ACT drug) and its partner drug (PPQ) has been reported in Shandong Province, China.

Methods
A retrospective study was conducted to explore the prevalence and spatial distribution of Pfk13 and Pfcrt polymorphisms (sites of 72–76, and 93–356) among imported P. falciparum isolates between years 2015–2019 in Shandong Province in eastern China. Individual epidemiological information was collected from a web-based reporting system were reviewed and analysed.

Results
A total of 425 P. falciparum blood samples in 2015–2019 were included and 7.3% (31/425) carried Pfk13 mutations. Out of the isolates that carried Pfk13 mutations, 54.8% (17/31) were nonsynonymous polymorphisms. The mutant alleles A578S, Q613H, C469C, and S549S in Pfk13 were the more frequently detected allele, the mutation rate was the same as 9.7% (3/31). Another allele Pfk13 C580Y, closely associated with artemisinin (ART) resistance, was found as 3.2% (2/31), which was found in Cambodia. A total of 14 mutant isolates were identified in Western Africa countries (45.2%, 14/31). For the Pfcrt gene, the mutation rate was 18.1% (77/425). T76T356 and T76 were more frequent in all 13 different haplotypes with 26.0% (20/77) and 23.4% (18/77). The CVIET and CVIKT mutant at loci 72–76 have exhibited a prevalence of 19.5% (15/77) and 3.9% (3/77), respectively. The CVIET was mainly observed in samples from Congo (26.7%, 4/15) and Mozambique (26.7%, 4/15). No mutations were found at loci 97, 101 and 145. For polymorphisms at locus 356, a total of 24 isolates were identified and mainly from Congo (29.2%, 7/24).

Conclusion
These findings indicate a low prevalence of Pfk13 in the African isolates. However, the emergence and increase in the new alleles Pfcrt I356T, reveals a potential risk of drug pressure in PPQ among migrant workers returned from Africa. Therefore, continuous molecular surveillance of Pfcrt mutations and in vitro susceptibility tests related to PPQ are necessary.
Prognostic value of microRNAs in patients with small cell lung cancer: a meta-analysis
Authors: Peng Jun , Liu Jinfeng , Liu Huining , Huang Yan , Ren Yingchun 
Published: December 2022

Abstract
Background
An increasing number of studies have shown that microRNAs play an important role in the occurrence and development of small cell lung cancer, which mainly manifest as oncogenic and tumor inhibition. Therefore, microRNAs may affect the survival of patients with small cell lung cancer. In this meta-analysis, we will evaluate the role of microRNAs in the overall survival of patients with small cell lung cancer, which may provide valuable information for the treatment of small cell lung cancer.

Methods
We searched the PubMed, Embase, and Web of Science online databases to determine the effect of microRNAs on the prognosis of patients with small cell lung cancer. The data and characteristics of each study were extracted, and the hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to estimate the effect.

Results
A total of 7 articles, involving 427 subjects and 15 studies, were included in this meta-analysis. The pooled HR of the relationship between the microRNA expression level and the overall survival rate of small cell lung cancer patients was 1.25 (95% CI: 1.06–1.47). There was a significant difference in the prognostic value of oncogenic and tumor inhibition microRNAs among patients with small cell lung cancer, with pooled HRs of 1.60 (95% CI: 1.35–1.90) and 0.42 (95% CI: 0.30–0.57), respectively.

Conclusions
MicroRNAs have a significant impact on the overall survival of small cell lung cancer patients, suggesting that microRNAs can be used as potential prognostic markers and may provide treatment strategies for small cell lung cancer patients.

Trial registration
The protocol was registered on PROSPERO website with the registration number of CRD42022334363. The relevant registration information can be obtained from the website https://www.crd.york.ac.uk/prospero/#searchadvanced.