Angiographic cross-filling between inferior petrosal sinuses and alteration of adrenocorticotropic hormone sampling results for tumor localization in Cushing disease.

OBJECTIVE: Inferior petrosal sinus (IPS) sampling (IPSS) is a diagnostic procedure used to guide diagnostic localization of imaging-negative adrenocorticotropic hormone (ACTH)-secreting pituitary microadenomas. However, the efficacy of IPSS has been suboptimal at accurately lateralizing the adenoma, reducing surgical cure rates and leading to unintended pituitary dysfunction due to the added exploration. One rationale for the occasional imprecision is the existence of additional petrosal sinus collateral channels that connect the IPS bilaterally, which may lead to false localization results during sampling. The aim of this study was to explore a potential connection between normal anatomical variation in the angioarchitecture of the IPSs and the ACTH results obtained in subsequent IPSS tests. METHODS: A retrospective review was performed on all cases between 1998 and 2013 involving patients at a single institution who underwent IPSS for radiographically equivocal pituitary microadenomas. Cases were reviewed for tumor laterality noted on either operative or pathology reports, as well as the presence of angiographic evidence of cross-filling between the sinuses. In addition, ACTH levels from the right and left IPSs were documented at baseline and at 2, 5, and 10 minutes after corticotropin-releasing hormone (CRH) administration. A ratio of the change in ACTH levels measured at the time of maximal response (10 minutes) versus the levels measured at the initial response (2 minutes) was computed for each patient and compared between patients by their angiographic cross-filling status. RESULTS: There were 41 patients with a histopathologically confirmed right- or left-sided ACTH-secreting pituitary microadenoma who underwent preoperative IPSS. Among these patients, 28 (68%) showed angiographic evidence of cross-filling between the IPSs, and 13 showed no cross-filling. On average, ACTH levels increased by a factor of 3.91 ± 0.77 in the contralateral IPS in patients with angiographic cross-filling, compared with a factor increase of only 1.80 ± 0.27 in patients without cross-filling (p = 0.014). In comparison, ACTH levels increased by a factor of 2.01 ± 0.57 in the ipsilateral IPS in patients with cross-filling, and by 8.78 ± 7.30 in those without cross-filling (p = 0.373). CONCLUSIONS: The presence of angiographic cross-filling, suggestive of a greater degree of vascular channel networking between the right and left IPS, is a significant factor influencing the measured rates of change of ACTH in IPSS and may impact the specificity of this test to accurately determine microadenoma laterality in the preoperative setting.

Clare Island Digital Health Project - using technology to enable health for all.

INTRODUCTION: Island communities have a different experience of health services compared with urban dwellers. Islanders face challenges of accessing equitable health services with varied availability of local services and the added difficulty of sea and weather conditions on top of the physical distance to reach specialised services. In a 2017 review of primary care island services in Ireland, it was proposed that telemedicine solutions could potentially improve delivery of health services. However, these solutions must meet the unique needs of the island population. AIMS AND METHODS: This collaborative project brings together healthcare professionals, academic researchers, technology partners, business partners and the Clare Island community, to improve the health of the island population via novel technological interventions. The Clare Island project aims to identify specific healthcare needs of the island through community engagement, develop innovative solutions, and assess the impact of the interventions via a mixed-methods approach. RESULTS: Preliminary engagement with the Clare Island community via facilitated round table discussions has identified Islanders' overarching enthusiasm for digital solutions and added benefit of provision of 'health at home' for Island communities, particularly, the potential to better support the older person at home via technology. Key challenges including basic infrastructure, useability and sustainability of digital health initiatives were common themes identified. We also will discuss in detail the needs-led process of innovation of telemedicine solutions deployed on Clare Island. Finally, we will present the anticipated impact of the project and the challenges and opportunities of telehealth for island health services. DISCUSSION: Technology has the potential to narrow the gap of inequity of health services for island communities. This project is an example of how through cross-disciplinary collaboration, and needs-led, specifically 'island-led', innovation of digital health solutions, the unique challenges for island communities can be addressed.

Ultrasound Image Classification of Thyroid Nodules Using Machine Learning Techniques.

Background and Objectives: Thyroid nodules are lumps of solid or liquid-filled tumors that form inside the thyroid gland, which can be malignant or benign. Our aim was to test whether the described features of the Thyroid Imaging Reporting and Data System (TI-RADS) could improve radiologists' decision making when integrated into a computer system. In this study, we developed a computer-aided diagnosis system integrated into multiple-instance learning (MIL) that would focus on benign-malignant classification. Data were available from the Universidad Nacional de Colombia. Materials and Methods: There were 99 cases (33 Benign and 66 malignant). In this study, the median filter and image binarization were used for image pre-processing and segmentation. The grey level co-occurrence matrix (GLCM) was used to extract seven ultrasound image features. These data were divided into 87% training and 13% validation sets. We compared the support vector machine (SVM) and artificial neural network (ANN) classification algorithms based on their accuracy score, sensitivity, and specificity. The outcome measure was whether the thyroid nodule was benign or malignant. We also developed a graphic user interface (GUI) to display the image features that would help radiologists with decision making. Results: ANN and SVM achieved an accuracy of 75% and 96% respectively. SVM outperformed all the other models on all performance metrics, achieving higher accuracy, sensitivity, and specificity score. Conclusions: Our study suggests promising results from MIL in thyroid cancer detection. Further testing with external data is required before our classification model can be employed in practice.

Diagnostic accuracy of thyroid nodule growth to predict malignancy in thyroid nodules with benign cytology: systematic review and meta-analysis.

BACKGROUND: Thyroid ultrasound to assess for nodular growth is commonly performed during the follow-up of patients with benign thyroid nodules, with the goal of identifying patients with a missed diagnosis of thyroid cancer. The objective of this study was to summarize the evidence regarding the diagnostic accuracy of growth during follow-up of benign thyroid nodules for thyroid cancer. METHODS: We searched multiple electronic databases using a search strategy designed by an experienced medical librarian from inception to March 2015. Eligible studies included patients with benign thyroid nodules assessed for growth during follow-up and evaluated for thyroid cancer either by surgical histology or a repeat fine needle aspiration biopsy. Reviewers working independently and in duplicate recorded data and assessed each study. RESULTS: The seven eligible studies lacked safeguards against bias and generated results that were imprecise with wide confidence intervals and inconsistent across studies. This warrants very low confidence in these results. The odds of nodule growth in patients with thyroid cancer on histopathology over these odds in patients without thyroid cancer (diagnostic odds ratio) was 0·58 (95% CI: 0·26-1·3); the diagnostic odds ratio was 2·2 (95% CI: 0·26-18) when an abnormal repeat biopsy was the reference standard. CONCLUSION: The body of evidence linking nodule growth with thyroid cancer during the follow-up of benign nodules warrants very low confidence. In the era of high-value health care, the commonplace practice of following benign thyroid nodules with serial ultrasound assessment of growth to diagnose cancer can be questioned, calling for imminent evaluation.