Return to sport and beyond following intramuscular tendon hamstring injury: A case report of an English Premier League football player

BackgroundHamstring strain injuries are the most common type of injury in elite football and are associated with a high risk of reinjury, particularly those involving the intramuscular tendon (IMT). Limited information is available regarding the rehabilitation and return to sport (RTS) processes following such injuries. This case study describes the clinical presentation of an elite football player following IMT hamstring injury, their on- and off-pitch rehabilitation alongside performance monitoring throughout RTS and beyond.Case scenarioAn elite football player suffered a grade 2c hamstring injury during an English Premier League (EPL) match. The player underwent early post-injury management, alongside progressive off-pitch physical preparation. The ‘control-chaos continuum’ was used as a framework for on-pitch rehabilitation to prepare the player for a return to full team training and competition. Objective and subjective markers of the player's response to progressive on- and off-pitch loading were monitored throughout RTS and beyond.OutcomesThe player returned to on-pitch rehabilitation after 11 days, to full team training having achieved weekly pre-injury chronic running load outputs after 35 days and played in the EPL 40 days post-injury. The player did not suffer reinjury for the rest of the EPL season.ConclusionAn understanding the unique structural and mechanical properties of the IMT, alongside expected RTS timeframes are important to inform rehabilitation and decision-making processes post-injury. Performance and frequent load-response monitoring throughout RTS and beyond, in conjunction with practitioner experience and effective communication are critical in facilitating effective RTS and reduce risk of reinjury following IMT injury.     

医疗领域人工智能应用的研究进展＊

人工智能引发了医疗领域的数字革命，在推动行业发展方面具有极大潜力。本研究围绕临床诊疗、医学研究和公共卫生三个基本场景，聚焦人工智能与传统中医药的交叉与融合，并着重介绍人工智能在疾病诊断、决策支持、医学研究以及重大公共卫生事件中的应用。虽然人工智能在诸多方面显示出独特优势，但仍存在透明度不高、缺乏安全性评估和相关法律法规监管等问题需要谨慎解决，以促进人工智能技术在医疗领域的推广。     

COVID-19: A literature review of the impact on diagnostic radiography students

IntroductionCOVID-19 is a highly contagious viral disease declared a global pandemic in March 2020. Throughout the pandemic, radiography students have been working in hospitals on the frontline. The review aimed to search for evidence of the impact COVID-19 has had on diagnostic radiography students and consider whether additional support and learning needs to be implemented.MethodsA literature search strategy applied keywords, BOOLEAN search operators, and eligibility criteria on PubMed, Medline, and Google Scholar databases. Cormack's (2000) critique framework was chosen to methodologically appraise the mixed-method studies to evaluate the quality, validity and rigour.ResultsThe search decisions were displayed in a PRISMA flowchart to evidence the process to identify the found articles comprised of two surveys, two semi-structured interviews and one case study. The findings identified common and reoccurring themes of personal protective equipment, mental wellbeing, accommodation and travel, assessments and learning, and transitioning to registration.ConclusionThe literature suggests that students felt positive impacts of the pandemic, such as being prepared for registration. However, negative effects included the fear of contracting the virus, anxieties of working with ill patients, impracticalities of accommodation and travel during clinical placement, and the adaption to online learning.Implications for practiceClinical staff and universities need to work together to ensure students are mentally and physically supported during the pandemic. Regular meetings and agreed channels of communication with students will allow any issues to be brought to attention and addressed. In addition, employers should recognise that newly qualified radiographers will need extra support.     

Automatic segmentation of thoracic CT images using three deep learning models

PurposeDeep learning (DL) techniques are widely used in medical imaging and in particular for segmentation. Indeed, manual segmentation of organs at risk (OARs) is time-consuming and suffers from inter- and intra-observer segmentation variability. Image segmentation using DL has given very promising results. In this work, we present and compare the results of segmentation of OARs and a clinical target volume (CTV) in thoracic CT images using three DL models.Materials and methodsWe used CT images of 52 patients with breast cancer from a public dataset. Automatic segmentation of the lungs, the heart and a CTV was performed using three models based on the U-Net architecture. Three metrics were used to quantify and compare the segmentation results obtained with these models: the Dice similarity coefficient (DSC), the Jaccard coefficient (J) and the Hausdorff distance (HD).ResultsThe obtained values of DSC, J and HD were presented for each segmented organ and for the three models. Examples of automatic segmentation were presented and compared to the corresponding ground truth delineations. Our values were also compared to recent results obtained by other authors.ConclusionThe performance of three DL models was evaluated for the delineation of the lungs, the heart and a CTV. This study showed clearly that these 2D models based on the U-Net architecture can be used to delineate organs in CT images with a good performance compared to other models. Generally, the three models present similar performances. Using a dataset with more CT images, the three models should give better results.     

Practice developments supporting change implementation in Wellington,New Zealand (NZ) for ‘continuity of care when transitioning complex preterm infants from NICU to home’

The discussion paper will focus on continuity of care relating to previous NZ research, specifically to transitioning complex preterm infants from NICU to home based on parent experiences, and on the practice developments that have occurred, to ensure optimal health outcomes. Previous NZ research discovered parent desire a consistent service delivery for the entire transition journey from NICU and at home.An informative and comprehensive opportunity has occurred for reflective professional practice, evaluation, development and implementation which have transpired in positive change through innovative practice developments and support change implementation in Wellington, NZ. This has resulted in the articulation of a model of care that has both embraced and integrated parental desires for a continuity of care process for complex preterm infants. This has been achieved by having the same Discharge Facilitator/Key Case Manager present within the NICU and external to the NICU for Home-based infants for the entire transition journey.The paper will focus and emphasis additional practice development changes and furthermore, will present a real purpose, for other countries to learn of such practice developments that have exemplified a celebratory success for families of Wellington, NZ.     

Recreational runners with Achilles tendinopathy have clinically detectable impairments: A case-control study

ObjectivesTo confirm what impairments are present in runners with Achilles tendinopathy (AT) and explore the variance of AT severity in an adequately powered study.DesignCase-control study.SettingTwo private physiotherapy clinics in Australia and Spain.ParticipantsForty-four recreational male runners with AT and 44 healthy controls matched by age, height, and weight.Main outcome measuresDemographics, activity (IPAQ-SF), pain and function (VISA-A), pain during hopping (Hop pain VAS), hopping duration, psychological factors (TSK-11, PASS20), and physical tests regarding lower-limb maximal strength and endurance.ResultsBody mass index (BMI), activity, VISA-A, pain, and duration of hopping, TSK-11, PASS20, standing heel raise to failure, seated heel raise and leg extension 6RM, hip extension and abduction isometric torque were significantly different between groups (P < 0.05) with varied effect sizes (V = 0.22, d range = 0.05–4.18). 46% of AT severity variance was explained by higher BMI (β = −0.41; p = 0.001), weaker leg curl 6RM (β = 0.32; p = 0.009), and higher pain during hopping (β = −0.43; p = 0.001).ConclusionRunners with AT had lower activity levels, lower soleus strength, and were less tall. BMI, pain during hopping, and leg curl strength explained condition severity. This information, identified with clinically applicable tools, may guide clinical assessment, and inform intervention development.     

Treatment of Advanced BRAF-Mutated Colorectal Cancer: Where We Are and Where We Are Going

In recent years, studies on the molecular typing of colorectal cancer have matured, and the V-raf murine sarcoma viral oncogene homolog B (BRAF) of the mitogen-activated protein kinase pathway has been shown to be an important effector molecule of this pathway and regulates the occurrence and development of colorectal cancer. Clinical observations indicate that colorectal cancer patients harboring the BRAF V600E mutation have a worse prognosis than BRAF wild type patients. Several resistance mechanisms have been identified that have led to the development of different treatment strategies, which have shown encouraging activity in early clinical trials. Therefore, a reasonable combination of targeted therapies is expected to further enhance the efficacy of selective BRAF inhibitors. Moreover, some CRC patients with high microsatellite instability or a mismatch repair deficiency seem to be susceptible to checkpoint inhibitors with objective and sustained clinical responses, providing new opportunities for patients with advanced disease. This article primarily explores 3 aspects of the treatment strategies for advanced BRAF-mutated colorectal cancer; chemotherapy, targeted therapy, and immunotherapy.