Citations

AbstractIn the forensic field, ancestry‐informative markers (AIMs) showing remarkable allele frequency discrepancies can be useful in deducing the likely ancestral origin of a person or estimating the ancestry component proportions of an admixed population or individual. Diallelic single nucleotide polymorphisms are genetic markers commonly used for ancestry inference, but the genotyping methods of single nucleotide polymorphisms fail to fulfil the demands of cost‐effectiveness and simplicity of experimental manipulation. To overcome the limitations, a 39 ancestry‐informative insertion/deletion polymorphism multiplex panel was developed in the present study to perform ancestry assignment of individuals from three distinct biogeographic regions (Africa, Europe, East Asia). And in the panel design, we also attempted to incorporate AIM‐insertion/deletion polymorphisms exhibiting allelic frequency differences in Han, Uyghur, and Tibetan populations into the multiplex assay, further expecting to provide valuable information for refining ancestry inference within Chinese populations. Statistical analyses were performed to estimate efficiency of this panel in clustering individuals from three continents mentioned above into their corresponding populations, which indicated the potential of the panel in ancestry inference. Besides, we also estimated the ancestral component proportions of Uyghur group and STRUCTURE analysis revealed that Uyghurs from Urumchi city of northern Xinjiang exhibited a distinctly admixed pattern of East Asian and European ancestry components with a ratio of 49:44, reflecting the relatively higher East Asian ancestry component contribution in the gene pool of the Uyghur group.

Ehlers-Danlos syndrome (EDS) refers to a group of genetic disorders involving the connective tissues. Type IV EDS impairs type III collagen that is responsible for vessel integrity. Patients with type IV EDS are susceptible to vascular and visceral complications, including aortic aneurysms, pseudoaneurysms, dissections, and spontaneous rupture of internal organs. Treating aneurysms with open surgery versus endovascular techniques each carry a unique risk-to-benefit ratio that must be applied to each individual carefully. We present a patient with type IV EDS who presented with a rapidly growing inferior mesenteric artery aneurysm. The patient was treated with a percutaneous endovascular technique using coils and n-butyl-cyanoacrylate glue.

Mechanical thrombectomy (MT) is the standard of care for patients who present with an acute ischemic stroke within 6 hours of symptom onset, and up to 24 hours in appropriately selected patients. However, optimal postoperative management of these patients remains uncertain, especially with regard to blood pressure control. To review the existing literature to define potential blood pressure goals in the immediate postoperative period in patients who undergo MT for acute ischemic stroke. The topic was defined through a clinical scenario and the subsequent development of a targeted clinical question. A literature search was performed, with relevant articles selected, one of which, a prospective observational study, was critically appraised. Participants included neurology residents and consultants, a medical librarian, clinical epidemiologists, as well as content experts from vascular neurology and interventional neuroradiology. Permissive hypertension (defined as <220/120 or <180/105 mm Hg as per the American Heart Association/American Stroke Association guidelines) may be harmful in the postoperative period following MT, especially in patients who were successfully recanalized. Moderate blood pressure control (<160/90) was found to be a predictor of improved 3-month mortality on multivariable logistic regression analysis in patients who sustained successful reperfusion [odds ratio (OR), 0.08; 95% confidence interval (CI), 0.01-0.054; P=0.01]. A 10 mm Hg increase in systolic blood pressure was found to result in a lower OR of having a favorable 3-month functional independence (OR, 0.70; 95% CI, 0.56-0.85; P=0.001) as well as higher rates of 3-month mortality (OR, 1.49; 95% CI, 1.18-1.88; P=0.001). Blood pressure goals in the immediate postoperative period in patients who undergo MT should differ than those who do not undergo MT, with data suggesting that lower blood pressure than permissive hypertension may be related to improved outcomes, especially in cases of successful reperfusion. However, current data are derived from observational studies; further studies, preferably in the form of randomized-controlled trials, are needed to further clarify the relationship between postoperative blood pressures and outcomes in this patient population.

Abstract Background Lumbar spinal stenosis ( LSS ) can lead to compression of neural elements and manifest as low back and leg pain. LSS has traditionally been treated with a variety of conservative (pain medications, physical therapy, epidural spinal injections) and invasive (surgical decompression) options. Recently, several minimally invasive procedures have expanded the treatment options. Methods The Lumbar Spinal Stenosis Consensus Group convened to evaluate the peer‐reviewed literature as the basis for making minimally invasive spine treatment ( MIST ) recommendations. Eleven consensus points were clearly defined with evidence strength, recommendation grade, and consensus level using U.S. Preventive Services Task Force criteria. The Consensus Group also created a treatment algorithm. Literature searches yielded 9 studies (2 randomized controlled trials [ RCT s]; 7 observational studies, 4 prospective and 3 retrospective) of minimally invasive spine treatments, and 1 RCT for spacers. Results The LSS treatment choice is dependent on the degree of stenosis; spinal or anatomic level; architecture of the stenosis; severity of the symptoms; failed, past, less invasive treatments; previous fusions or other open surgical approaches; and patient comorbidities. There is Level I evidence for percutaneous image‐guided lumbar decompression as superior to lumbar epidural steroid injection, and 1 RCT supported spacer use in a noninferiority study comparing 2 spacer products currently available. Conclusions MISTs should be used in a judicious and algorithmic fashion to treat LSS , based on the evidence of efficacy and safety in the peer‐reviewed literature. The MIST Consensus Group recommend that these procedures be used in a multimodal fashion as part of an evidence‐based decision algorithm.

TPS8053 Background: The advent of proteasome inhibitors and immunomodulatory drugs (IMiDs) have significantly improved outcomes in MM, and the first monoclonal antibodies for MM have been recently approved (daratumumab, elotuzumab). Despite novel therapies and improved disease management, MM is still considered incurable and most pts relapse, confirming the need for additional treatment options. MM cells express PD-L1, with higher levels observed after relapse and with advanced disease. Additionally, PD-L1–expressing immune cells in the microenvironment promote MM cell survival and potential immune escape. However, anti–PD-1 monotherapy did not result in objective responses in the MM cohort of a Ph I study, suggesting that MM pts need combination therapy. Daratumumab has activity as a single agent, as well as in combination with IMiDs plus dexamethasone and bortezomib plus dexamethasone in R/R MM. Immunomodulatory activity for daratumumab has also been reported. Thus, disruption of the PD-L1/PD-1 pathway may be additive or synergistic. The safety and efficacy of atezo (anti–PD-L1) alone or with lenalidomide or pomalidomide and/or daratumumab will be evaluated in a Ph Ib study of MM pts. NCT02431208. Methods: R/R MM pts with ≤ 3 prior therapies will be enrolled in Cohorts A (atezo), B (atezo + lenalidomide), D (atezo + daratumumab) and E (atezo + daratumumab + lenalidomide); MM pts with measurable disease after ASCT (Cohort C: atezo) or ≥ 3 prior therapies (Cohort F: atezo + daratumumab + pomalidomide) will also be enrolled. Cohorts B, D, E and F include a safety run-in (D) or dose escalation phase (B, E, F) and an expansion. Lenalidomide and pomalidomide will be dose escalated and the MTD evaluated in expansion phases. Atezo will be given at 1200 mg IV (A, B, C) or 840 mg IV (D, E, F); pts will get daratumumab at 16 mg/kg IV (D, E, F). All pts will be ECOG PS ≤ 2. Primary endpoints are ORR and the RP2D of lenalidomide and pomalidomide with atezo and daratumumab and the RP2D of lenalidomide with atezo. DOR and PFS are secondary endpoints; safety, PK and the relationship between biomarkers and other endpoints, including efficacy, will be assessed. Pts will be enrolled at 19 US sites. Clinical trial information: NCT02431208.

Background Most persistent posttraumatic headaches (PPTH) have a phenotype that meets diagnostic criteria for migraine or probable migraine. Although symptoms of autonomic dysfunction have been well described among those with migraine, the presence and relative severity of such symptoms among those with PPTH have yet to be reported. Objective The objective of this study was to assess and compare symptoms of autonomic dysfunction among those with PPTH attributed to mild traumatic brain injury (mTBI) vs migraine vs healthy controls using Composite Autonomic Symptom Score 31 (COMPASS‐31) questionnaire scores. Methods Individuals with PPTH (n = 56) (87.5% of whom had a migraine/probable migraine phenotype), migraine (n = 30), and healthy controls (n = 36) were prospectively assessed in this cross‐sectional cohort study using the COMPASS‐31 questionnaire. Total COMPASS‐31 scores and individual domain scores (bladder, gastrointestinal, orthostatic intolerance, pupillomotor, secretomotor, vasomotor) were compared between subject groups. Results COMPASS‐31 mean total weighted score was 37.22 ± 15.44 in the PPTH group, 27.15 ± 14.37 in the migraine group, and 11.67 ± 8.98 for healthy controls. COMPASS‐31 mean weighted total scores were significantly higher in those with PPTH vs migraine ( P = .014), for PPTH vs healthy controls ( P = .001), and for migraine vs healthy controls ( P = .001). Those with PPTH had numerically higher scores for all COMPASS‐31 domains compared to those with migraine, and the domain scores were significantly higher for orthostatic intolerance (PPTH = 4.80 ± 2.47 vs migraine = 3.33 ± 2.31, P = .027) and bladder (PPTH = 1.14 ± 1.45 vs migraine = 0.47 ± 0.73, P = .020). Among individuals with PPTH, post hoc correlations indicated a positive association between number of total lifetime TBIs with total weighted COMPASS‐31 scores (rho = 0.32, P = .020), between years lived with headache and vasomotor domain subscores (rho = 0.27; P = .044), and between headache frequency with vasomotor domain subscores (rho = 0.27; P = .041). Conclusions Symptoms of autonomic dysfunction were greatest among those with PPTH compared to migraine and healthy controls. Among individuals with PPTH, number of lifetime TBIs was associated with greater symptoms of autonomic dysfunction, while greater headache burden was associated with higher vasomotor domain autonomic dysfunction subscores, potentially indicating that PPTH patients with higher disease burden have an increased risk for having autonomic dysfunction. Symptoms of autonomic dysfunction should be ascertained during the clinical management of patients with PPTH and might be a characteristic that helps differentiate PPTH from migraine.

Arteriovenous malformations (AVMs) are a subset of congenital vascular malformations (CVMs). They comprise abnormal connections between arterial and venous circulation; treatment approaches are dependent on the angioarchitecture of the AVM, specifically the number and arrangement of the feeder arteries and outflow veins. Various imaging modalities can be used to diagnose and plan treatment. Here we will review the use of transarterial approaches to treat AVMs.

Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medicine. The combination of improved availability of large datasets, increasing computing power, and advances in learning algorithms has created major performance breakthroughs in the development of AI applications. In the last 5 years, AI techniques known as deep learning have delivered rapidly improving performance in image recognition, caption generation, and speech recognition. Radiology, in particular, is a prime candidate for early adoption of these techniques. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI working group with the mandate to discuss and deliberate on practice, policy, and patient care issues related to the introduction and implementation of AI in imaging. This white paper provides recommendations for the CAR derived from deliberations between members of the AI working group. This white paper on AI in radiology will inform CAR members and policymakers on key terminology, educational needs of members, research and development, partnerships, potential clinical applications, implementation, structure and governance, role of radiologists, and potential impact of AI on radiology in Canada.

Even when concussions are associated with prolonged physical and cognitive sequelae, concussions are typically “invisible” on diagnostic brain imaging, indicating that the neuropathology associated with concussion lies under the detection threshold of routine imaging. However, data from brain structural and functional research imaging studies using diffusion tensor imaging, resting‐state functional magnetic resonance imaging, and brain perfusion imaging indicate that these imaging sequences have a role in identifying concussion‐related neuropathology. These advanced imaging techniques provide insights into concussion neuropathology and might be useful for differentiating concussed patients from healthy controls. In this review article, we provide an overview of research findings from brain structural and functional imaging studies of concussion, and discuss the accuracy of classification models developed via machine‐learning algorithms for identifying individual patients with concussion based on imaging data.