keyword
https://read.qxmd.com/read/38652133/unraveling-variations-and-enhancing-prediction-of-successful-sphincter-preserving-resection-for-low-rectal-cancer-a-post-hoc-analysis-of-the-multicenter-lasre-randomized-clinical-trial
#1
JOURNAL ARTICLE
Xiaojie Wang, Weizhong Jiang, Yu Deng, Zhifen Chen, Zhifang Zheng, Yanwu Sun, Zhongdong Xie, Xingrong Lu, Shenghui Huang, Yu Lin, Ying Huang, Pan Chi
BACKGROUND: Accurate prediction of successful sphincter-preserving resection (SSPR) for low rectal cancer enables peer institutions to scrutinize their own performance and potentially avoid unnecessary permanent colostomy. The aim of this study is to evaluate the variation in SSPR and present the first artificial intelligence (AI) models to predict SSPR in low rectal cancer patients. STUDY DESIGN: This was a retrospective post hoc analysis of a multicenter, noninferiority randomized clinical trial (LASRE, NCT XXXXXX) conducted in 22 tertiary hospitals across China...
April 23, 2024: International Journal of Surgery
https://read.qxmd.com/read/38564727/workforce-engagement-for-compassionate-advocacy-resilience-and-empowerment-we-care-an-evidence-based-wellness-program
#2
JOURNAL ARTICLE
Patricia A Patrician, Joseph R Travis, Cindy Blackburn, Ja-Lin Carter, Allyson G Hall, Katherine A Meese, Rebecca S Miltner, Aoyjai P Montgomery, Jill Stewart, Asiah Ruffin, Dana M Morson, Shea Polancich
Poor well-being and burnout among the nursing workforce were heightened by the COVID-19 pandemic. The purpose of this study was to deliver, spread, and sustain an evidence-based wellness program, Workforce Engagement for Compassionate Advocacy, Resilience, and Empowerment (WE CARE), for nurse leaders, staff registered nurses (RNs), and patient care technicians (PCTs) to ameliorate or prevent burnout, promote resilience, and improve the work environment. The program included Community Resiliency Model (CRM) training provided by a certified 6-member wellness team...
April 2024: Nursing Administration Quarterly
https://read.qxmd.com/read/38535716/interprofessional-paediatric-high-fidelity-simulation-training-a-mixed-methods-study-of-experiences-and-readiness-among-nursing-and-medical-students
#3
JOURNAL ARTICLE
Helmut Beichler, Simone Grandy, Silke Neumaier, Anneliese Lilgenau, Hannah Schwarz, Michael Wagner
BACKGROUND: Training in communication skills between nursing and medical students during interprofessional paediatric emergency simulation training represents a significant aspect of safe patient care. Evidence highlights that poor communication in paediatric emergency scenarios jeopardises patient safety. Through realistic simulations, students practice the communication strategies of crisis resource management (CRM), such as "closed-loop communication", "speaking up", and "team time-out"...
March 7, 2024: Nursing Reports
https://read.qxmd.com/read/38526045/a-scoping-review-of-interprofessional-simulation-based-team-training-programs
#4
JOURNAL ARTICLE
Naike Bochatay, Mindy Ju, Bridget C O'Brien, Sandrijn M van Schaik
Interprofessional simulation-based team training (ISBTT) is promoted as a strategy to improve collaboration in healthcare, and the literature documents benefits on teamwork and patient safety. Teamwork training in healthcare is traditionally grounded in crisis resource management (CRM), but it is less clear whether ISBTT programs explicitly take the interprofessional context into account, with complex team dynamics related to hierarchy and power. This scoping review examined key aspects of published ISBTT programs including (1) underlying theoretical frameworks, (2) design features that support interprofessional learning, and (3) reported behavioral outcomes...
March 25, 2024: Simulation in Healthcare: Journal of the Society for Simulation in Healthcare
https://read.qxmd.com/read/38318741/emergency-crisis-resource-management-a-simulation-based-course-developed-by-the-spanish-society-of-emergency-medicine-semes-for-health-sciences-students
#5
JOURNAL ARTICLE
Silvia Escribano, María Sánchez-Marco, Salvador Espinosa-Ramírez, Alonso Mateos-Rodríguez, Laura Fernández-Lebrusán, María-José Cabañero-Martínez
OBJECTIVES: Educational programs based on high-fidelity simulation training aim to promote students' acquisition of nontechnical competencies such as understanding crisis resource management (CRM). This study evaluated the efficacy of a CRM course for students in their last year of university studies in health sciences. The course was developed by the Spanish Society of Emergency Medicine (SEMES). MATERIAL AND METHODS: Quasi-experimental study of a high-fidelity simulation course to teach emergency CRM (E-CRM) using preand postcourse measures of achievement in a single student cohort...
January 2024: Emergencias: Revista de la Sociedad Española de Medicina de Emergencias
https://read.qxmd.com/read/38255117/comparative-analysis-of-the-impact-of-training-through-simulation-using-the-crisis-resource-management-tool-for-primary-care-professionals
#6
JOURNAL ARTICLE
Marta Bernardino-Santos, Daniel Arnal-Velasco, Pilar Reboto-Cortés, Cristina Garmendia-Fernandez, Esther Renilla-Sánchez, Ricardo Jose Navalón-Liceras, Elena Botillo-Pérez, Miguel A Ortega, Juan Ignacio Gómez-Arnau Díaz-Cañabate, Juan A De León-Luis
This was a prospective observational study based on clinical simulation courses taught in 2017 at the IDEhA Simulation Center of Alcorcón Foundation University Hospital. Two courses in metabolic emergencies (MEs) and respiratory emergencies (REs) were offered to primary care physicians all over Spain. The main objective was to teach nontechnical skills (crisis resource management). Using a modified five-level Kirkpatrick-Phillips education evaluation model, level I (reaction, K1), level II (learning, K2) and level III (behavioral change, K3) changes were evaluated through surveys at the end of the courses and one year later...
January 17, 2024: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/38246221/a-novel-molecular-subtyping-based-on-multi-omics-analysis-for-prognosis-predicting-in-colorectal-melanoma-a-16-year-prospective-multicentric-study
#7
JOURNAL ARTICLE
Chuan Liu, Xiaofei Cheng, Kai Han, Libing Hong, Shuqiang Hao, Xuqi Sun, Jingfeng Xu, Benfeng Li, Dongqing Jin, Weihong Tian, Yuzhi Jin, Yanli Wang, Weijia Fang, Xuanwen Bao, Peng Zhao, Dong Chen
Colorectal melanoma (CRM) is a rare malignant tumor with severe complications, and there is currently a lack of systematic research. We conducted a study that combined proteomics and mutation data of CRM from a cohort of three centers over a 16-years period (2005-2021). The patients were divided into a training set consisting of two centers and a testing set comprising the other center. Unsupervised clustering was conducted on the training set to form two molecular subtypes for clinical characterization and functional analysis...
January 19, 2024: Cancer Letters
https://read.qxmd.com/read/38242731/multiparametric-mri-based-machine-learning-models-for-the-characterization-of-cystic-renal-masses-compared-to-the-bosniak-classification-version-2019-a-multicenter-study
#8
JOURNAL ARTICLE
Huanhuan Kang, Wanfang Xie, He Wang, Huiping Guo, Jiahui Jiang, Zhe Liu, Xiaohui Ding, Lin Li, Wei Xu, Jian Zhao, Xu Bai, Mengqiu Cui, Huiyi Ye, Baojun Wang, Dawei Yang, Xin Ma, Jiangang Liu, Haiyi Wang
RATIONALE AND OBJECTIVE: Accurate differentiation between benign and malignant cystic renal masses (CRMs) is challenging in clinical practice. This study aimed to develop MRI-based machine learning models for differentiating between benign and malignant CRMs and compare the best-performing model with the Bosniak classification, version 2019 (BC, version 2019). METHODS: Between 2009 and 2021, consecutive surgery-proven CRM patients with renal MRI were enrolled in this multicenter study...
January 18, 2024: Academic Radiology
https://read.qxmd.com/read/38116034/non-technical-skills-and-teamwork-in-trauma-from-the-emergency-department-to-the-operating-room
#9
REVIEW
Henrique Alexandrino, Bárbara Martinho, Luís Ferreira, Sérgio Baptista
Management of a trauma patient is a challenging process. Swift and accurate clinical assessment is required and time-sensitive decisions and life-saving procedures must be performed in an unstable patient. This requires a coordinated response by both the emergency room (ER) and operating room (OR) teams. However, a team of experts does not necessarily make an expert team. Root cause analysis of adverse events in surgery has shown that failures in coordination, planning, task management and particularly communication are the main causes for medical errors...
2023: Frontiers in Medicine
https://read.qxmd.com/read/38083811/examining-barriers-and-motivations-to-speak-up-on-medical-errors-in-a-simulated-clinical-emergency-a-mixed-methods-study
#10
JOURNAL ARTICLE
Darius Shaw Teng Pan, Mui Teng Chua, Crystal Harn Wei Soh, Thian Phey Lau, Pei Lin Koh, Eng Soo Yap, Celine Hui Xian Yeo, Gene Wai Han Chan
Phenomenon: Effective communication between team members is essential during the resuscitation of critically-ill patients. Failure of junior doctors to speak up and challenge erroneous clinical decisions made by their senior doctors is a serious communication failure which can result in catastrophic outcomes and jeopardize patient safety. Crisis resource management (CRM) and conflict resolution tools have been increasingly employed in the healthcare setting to reduce communication failure among healthcare providers and improve patient safety during crisis situations...
December 11, 2023: Teaching and Learning in Medicine
https://read.qxmd.com/read/37987563/development-of-a-joint-prediction-model-based-on-both-the-radiomics-and-clinical-factors-for-preoperative-prediction-of-circumferential-resection-margin-in-middle-low-rectal-cancer-using-t2wi-images
#11
JOURNAL ARTICLE
Yiheng Ju, Longbo Zheng, Wei Qi, Guangye Tian, Yun Lu
OBJECTIVES: A circumferential resection margin (CRM) is an independent risk factor for local recurrence, distant metastasis, and poor overall survival of rectal cancer. In this study, we developed and validated a radiomics prediction model to predict perioperative surgical margins in patients with middle and low rectal cancer following neoadjuvant treatment and for decisions about treatment plans for patients. METHODS: This study retrospectively analyzed 275 patients from center 1(training cohort) and 120 patients from center 2(verification cohort) with rectal cancer diagnosed at two centers from July 2020 to July 2022 who underwent neoadjuvant therapy and had their CRM status confirmed by preoperative high-resolution magnetic resonance imaging (MRI) scans...
November 21, 2023: Medical Physics
https://read.qxmd.com/read/37854438/the-community-resiliency-model-an-interoceptive-awareness-tool-to-support-population-mental-wellness
#12
JOURNAL ARTICLE
Linda Grabbe, Ingrid M Duva, William C Nicholson
The objective of this article is to describe the Community Resiliency Model (CRM)®, a sensory-focused, self-care modality for mental well-being in diverse communities, and CRM's emerging evidence base and neurobiological underpinnings as a task-sharing intervention. Frieden's Health Impact Pyramid (HIP) is used as a lens for mental healthcare interventions and their public health impact, with CRM examples. CRM, a sensory awareness model for self-care and mental well-being in acute and chronic stress states, is supported by neurobiological theory and a growing evidence base...
2023: Global Mental Health
https://read.qxmd.com/read/37841836/towards-a-comprehensive-regulatory-map-of-mammalian-genomes
#13
Tássia Mangetti Gonçalves, Casey L Stewart, Samantha D Baxley, Jason Xu, Daofeng Li, Harrison W Gabel, Ting Wang, Oshri Avraham, Guoyan Zhao
Genome mapping studies have generated a nearly complete collection of genes for the human genome, but we still lack an equivalently vetted inventory of human regulatory sequences. Cis-regulatory modules (CRMs) play important roles in controlling when, where, and how much a gene is expressed. We developed a training data-free CRM-prediction algorithm, the Mammalian Regulatory MOdule Detector (MrMOD) for accurate CRM prediction in mammalian genomes. MrMOD provides genome position-fixed CRM models similar to the fixed gene models for the mouse and human genomes using only genomic sequences as the inputs with one adjustable parameter - the significance p-value...
September 28, 2023: Research Square
https://read.qxmd.com/read/37813494/the-impact-of-the-community-resiliency-model-crm-on-the-mental-well-being-of-youth-at-risk-for-violence-a-study-protocol
#14
JOURNAL ARTICLE
Linda Grabbe, Ingrid Duva, Douglas Jackson, Rufus Johnson, David Schwartz
Assess the effect of a brief, somatic awareness resiliency training, the Community Resiliency Model (CRM)®, on the mental well-being of incarcerated youth. SPECIFIC AIM 1: Explore the relationship between youth demographics and justice history to baseline well-being scores and response to treatment. Q1: How do personal variables, including length of time in juvenile justice, relate to baseline mental health scores and response to the wellness skills intervention? SPECIFIC AIM 2: Examine the mental health scores over time to determine effectiveness of participating in CRM training while incarcerated...
October 2023: Archives of Psychiatric Nursing
https://read.qxmd.com/read/37751422/adjuvant-chemotherapy-or-no-adjuvant-chemotherapy-a-prediction-model-for-the-risk-stratification-of-recurrence-or-metastasis-of-nasopharyngeal-carcinoma-combining-mri-radiomics-with-clinical-factors
#15
JOURNAL ARTICLE
Qiaoyuan Wu, Yonghu Chang, Cheng Yang, Heng Liu, Fang Chen, Hui Dong, Cheng Chen, Qing Luo
BACKGROUND: Dose adjuvant chemotherapy (AC) should be offered in nasopharyngeal carcinoma (NPC) patients? Different guidelines provided the different recommendations. METHODS: In this retrospective study, a total of 140 patients were enrolled and followed for 3 years, with 24 clinical features being collected. The imaging features on the enhanced-MRI sequence were extracted by using PyRadiomics platform. The pearson correlation coefficient and the random forest was used to filter the features associated with recurrence or metastasis...
2023: PloS One
https://read.qxmd.com/read/37684414/angular-photogrammetric-analysis-of-facial-soft-tissue-by-image-processing-algorithms
#16
JOURNAL ARTICLE
Ali Fahmi Jafargholkhanloo, Mousa Shamsi, Sara Rahavi-Ezabadi, Amin Amali
BACKGROUND: The main aim of this study was to present an automatic method based on image processing algorithms for facial anatomical landmark localization and angular photogrammetric analysis applicable for rhinoplasty surgery. We studied and measured color profile photographs of 100 patients before and after rhinoplasty surgery. METHODS: In facial anthropometry analysis, anatomical landmarks are often defined by specialists, manually. This process is time-consuming and requires training and skill...
September 8, 2023: Aesthetic Plastic Surgery
https://read.qxmd.com/read/37562657/deep-learning-enabled-diagnosis-of-liver-adenocarcinoma
#17
JOURNAL ARTICLE
Thomas Albrecht, Annik Rossberg, Jana Dorothea Albrecht, Jan Peter Nicolay, Beate Katharina Straub, Tiemo Sven Gerber, Michael Albrecht, Fritz Brinkmann, Alphonse Charbel, Constantin Schwab, Johannes Schreck, Alexander Brobeil, Christa Flechtenmacher, Moritz von Winterfeld, Bruno Christian Köhler, Christoph Springfeld, Arianeb Mehrabi, Stephan Singer, Monika Nadja Vogel, Olaf Neumann, Albrecht Stenzinger, Peter Schirmacher, Cleo-Aron Weis, Stephanie Roessler, Jakob Nikolas Kather, Benjamin Goeppert
BACKGROUND & AIMS: Diagnosis of adenocarcinoma in the liver is a frequent scenario in routine pathology and has a critical impact on clinical decision making. However, rendering a correct diagnosis can be challenging, and often requires the integration of clinical, radiologic, and immunohistochemical information. We present a deep learning model (HEPNET) to distinguish intrahepatic cholangiocarcinoma from colorectal liver metastasis, as the most frequent primary and secondary forms of liver adenocarcinoma, with clinical grade accuracy using H&E-stained whole-slide images...
November 2023: Gastroenterology
https://read.qxmd.com/read/37486835/scale-arbitrary-invertible-image-downscaling
#18
JOURNAL ARTICLE
Jinbo Xing, Wenbo Hu, Menghan Xia, Tien-Tsin Wong
Conventional social media platforms usually downscale high-resolution (HR) images to restrict their resolution to a specific size for saving transmission/storage cost, which makes those visual details inaccessible to other users. To bypass this obstacle, recent invertible image downscaling methods jointly model the downscaling/upscaling problems and achieve impressive performance. However, they only consider fixed integer scale factors and may be inapplicable to generic downscaling tasks towards resolution restriction as posed by social media platforms...
July 24, 2023: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://read.qxmd.com/read/37475743/pilot-study-protocol-of-a-randomized-controlled-trial-for-the-potential-effects-of-creatine-monohydrate-on-persistent-post-concussive-symptoms
#19
JOURNAL ARTICLE
Ronni Lykke Bødker, Michael Marcussen
BACKGROUND: Mild traumatic brain injury or concussion is a global public concern, with an estimated annual incidence between 48 million and 96 million worldwide. It is a socioeconomical problem, and almost one-third of individuals with concussion suffer from severe persistent post-concussive symptoms (PPCS), with an increased risk of unemployment or terminating their studies. To date, no single treatment is available with guaranteed success. Creatine monohydrate (CrM) has shown potential as a treatment for post-concussive symptoms, having a positive impact on cognitive function, chronic fatigue, depression, and anxiety...
2023: Frontiers in Neurology
https://read.qxmd.com/read/37394412/a-comprehensive-prediction-model-based-on-mri-radiomics-and-clinical-factors-to-predict-tumor-response-after-neoadjuvant-chemoradiotherapy-in-rectal-cancer
#20
JOURNAL ARTICLE
Hao Jiang, Wei Guo, Zhuo Yu, Xue Lin, Mingyu Zhang, Huijie Jiang, Hongxia Zhang, Zhongqi Sun, Jinping Li, Yanyan Yu, Sheng Zhao, Hongbo Hu
RATIONALE AND OBJECTIVES: To establish a prediction model for the efficacy of neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC), using pretreatment magnetic resonance imaging (MRI) multisequence image features and clinical parameters. MATERIALS AND METHODS: Patients with clinicopathologically confirmed LARC were included (training and validation datasets, n = 100 and 27, respectively). Clinical data of patients were collected retrospectively...
June 30, 2023: Academic Radiology
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