Neoplasms head and neck

  • 文章类型: Journal Article
    传统的集中护理模式,虽然有很多优点,还需要适应和扩大规模,以满足区域和日益扩大的城市扩张的要求。然而,为了确保与当前主要中心的可比结果,这个过渡,当需要时,必须以安全有效的方式交付。我们的项目,它利用了英国口腔颌面外科医师协会(BAOMS)最近发布的来自口腔颌面外科质量和结果(QOMS)项目的结果数据,以对从小量收集的前瞻性数据进行基准测试。北昆士兰州的新兴中心,在验证研究方面是第一个这样的研究。不出所料,我们中心的小体积影响了得出强大的统计模型和比较器的能力,小批量中心在发展服务时的内在限制。然而,在这个进化项目中,使用允许检测警报和警报级别的比较指标,这是非常宝贵的,以确保患者的安全和质量的结果。我们的论文证明,无论大小或体积,质量保证指标(国家或国际)的利用为新兴的头颈服务提供了安全和透明的升级,区域,和小批量中心。
    The traditional model of centralisation of care, whilst having many advantages, also requires adaptation and upscaling to meet the requirements of both regional areas and the increasing urban sprawl. However, to ensure comparable outcomes with current major centres, this transition, when required, must be delivered in a safe and effective manner. Our project, which utilised the British Association of Oral and Maxillofacial Surgeons (BAOMS) recently published outcome data from the Quality and Outcomes in Oral and Maxillofacial Surgery (QOMS) project to benchmark data prospectively collected from a small-volume, emerging centre in Northern Queensland, was the first of its kind in terms of validation studies. As expected, the small volume of our centre impacted the ability to derive powerful statistical models and comparators, an intrinsic limitation for small-volume centres whilst they are developing services. However, during this evolution project, the use of comparison metrics allowed for the detection of alert and alarm levels, which are invaluable to ensure patient safety and quality of outcome.Our paper demonstrated that, irrespective of size or volume, the utilisation of quality assurance metrics (national or international) provides for the safe and transparent upscaling of head and neck services in emerging, regional, and small-volume centres.
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  • 文章类型: Journal Article
    Background: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common form of cancer worldwide, with approximately 630,000 new cases diagnosed each year. The development of low-cost and non-invasive tools for the detection of HNSCC using volatile organic compounds (VOCs) in the breath could potentially improve patient care. The aim of this study was to investigate the feasibility of selected ion flow tube mass spectrometry (SIFT-MS) technology to identify breath VOCs for the detection of HNSCC. Materials and Methods: Breath samples were obtained from HNSCC patients (N = 23) and healthy volunteers (N = 21). Exhaled alveolar breath samples were collected into FlexFoil® PLUS (SKC Limited, Dorset, UK) sampling bags from newly diagnosed, histologically confirmed, untreated patients with HNSCC and from non-cancer participants. Breath samples were analyzed by Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS) (Syft Technologies, Christchurch, New Zealand) using Selective Ion Mode (SIM) scans that probed for 91 specific VOCs that had been previously reported as breath biomarkers of HNSCC and other malignancies. Results: Of the 91 compounds analyzed, the median concentration of hydrogen cyanide (HCN) was significantly higher in the HNSCC group (2.5 ppb, 1.6-4.4) compared to the non-cancer group (1.1 ppb, 0.9-1.3; Benjamini-Hochberg adjusted p < 0.05). A receiver operating curve (ROC) analysis showed an area under the curve (AUC) of 0.801 (95% CI, 0.65952-0.94296), suggesting moderate accuracy of HCN in distinguishing HNSCC from non-cancer individuals. There were no statistically significant differences in the concentrations of the other compounds of interest that were analyzed. Conclusions: This pilot study demonstrated the feasibility of SIFT-MS technology to identify VOCs for the detection of HNSCC.
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