Long-term experience with intraoperative electron radiation therapy boost in extremity sarcoma.

BACKGROUND: In patients with extremity soft tissue sarcoma (eSTS), we describe outcomes of preoperative external beam radiation therapy (EBRT), limb-sparing surgery (LSS), and intraoperative electron radiation therapy (IOERT). METHODS: One hundred and eighteen patients with eSTS treated between October 17, 2002 and July 28, 2021 were identified. EBRT was delivered preoperatively followed by LSS and IOERT. RESULTS: The median follow-up was 24.9 months. The presentation was primary in 102 (94%) patients and recurrent in 6 (6%) patients. Tumor location was lower extremity in 82 (76%) patients and upper extremity in 26 (24%) patients. Stage distribution was as follows: 3 (3%) IA, 24 (22%) IB, 31 (29%) II, 24 (22%) IIIA, and 25 (23%) IIIB. Final surgical margins were negative in 96 (89%) patients. The 5-year local control, failure-free survival, and overall survival were 94%, 75%, and 64%, respectively. Univariate analysis identified age >50, lower extremity, and higher grade as significant negative prognostic factors for overall survival. Grade 3 fracture or osteoradionecrosis requiring surgical fixation, neuropathy, and lymphedema occurred in 7 (6%), 1 (1%), and 0 patients, respectively. CONCLUSIONS: This study represents one of the largest series using preoperative EBRT, LSS, and IOERT for eSTS, with high local control and a low rate of late severe toxicity.

Update on the limited sensitivity of computed tomography relative to RT-PCR for COVID-19: a systematic review.

Purpose: The global and ongoing COVID-19 outbreak has compelled the need for timely and reliable methods of detection for SARS-CoV-2 infection. Although reverse transcription-polymerase chain reaction (RT-PCR) has been widely accepted as a reference standard for COVID-19 diagnosis, several early studies have suggested the superior sensitivity of computed tomography (CT) in identifying SARS-CoV-2 infection. In a previous systematic review, we stratified studies based on risk for bias to evaluate the true sensitivity of CT for detecting SARS-CoV-2 infection. This study revisits our prior analysis, incorporating more current data to assess the sensitivity of CT for COVID-19. Material and methods: The PubMed and Google Scholar databases were searched for relevant articles published between 1 January 2020, and 25 April 2021. Exclusion criteria included lack of specification regarding whether the study cohort was adult or paediatric, whether patients were symptomatic or asymptomatic, and not identifying the source of RT-PCR specimens. Ultimately, 62 studies were included for systematic review and were subsequently stratified by risk for bias using the QUADAS-2 quality assessment tool. Sensitivity data were extracted for random effects meta-analyses. Results: The average sensitivity for COVID-19 reported by the high-risk-of-bias studies was 68% [CI: 58, 80; range: 38-96%] for RT-PCR and 91% [CI: 87, 96; range: 47-100%] for CT. The average sensitivity reported by the low-risk-of-bias studies was 84% [CI: 0.75, 0.94; range: 70-97%] for RT-PCR and 78% [CI: 71, 0.86; range: 44-92%] for CT. Conclusions: On average, the high-risk-of bias studies underestimated the sensitivity of RT-PCR and overestimated the sensitivity of CT for COVID-19. Given the incorporation of recently published low-risk-of-bias articles, the sensitivities according to low-risk-of-bias studies for both RT-PCR and CT were higher than previously reported.

Diagnostic Tools for Coronavirus Disease (COVID-19): Comparing CT and RT-PCR Viral Nucleic Acid Testing.

OBJECTIVE. Multiple studies suggest CT should be a primary diagnostic tool for coronavirus disease (COVID-19) because they reported sensitivities with CT far superior to that of reverse transcriptase polymerase chain reaction (RT-PCR) testing. This review aimed to assess these reports and found chest CT to have a clinical utility that is limited, particularly for patients who show no symptoms and patients who are screened early in disease progression. CONCLUSION. CT has limited sensitivity for COVID-19 and a lower specificity than RT-PCR testing, and it carries a risk of exposing providers to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest CT should be considered a supplemental diagnostic tool, particularly for patients who show symptoms.

Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging.

Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However, its widespread application has been limited by the heavy resource burden of CMR interpretation. Here, to address this challenge, we developed and validated computerized CMR interpretation for screening and diagnosis of 11 types of CVD in 9,719 patients. We propose a two-stage paradigm consisting of noninvasive cine-based CVD screening followed by cine and late gadolinium enhancement-based diagnosis. The screening and diagnostic models achieved high performance (area under the curve of 0.988 ± 0.3% and 0.991 ± 0.0%, respectively) in both internal and external datasets. Furthermore, the diagnostic model outperformed cardiologists in diagnosing pulmonary arterial hypertension, demonstrating the ability of artificial intelligence-enabled CMR to detect previously unidentified CMR features. This proof-of-concept study holds the potential to substantially advance the efficiency and scalability of CMR interpretation, thereby improving CVD screening and diagnosis.

Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures.

Global investigation of medulloblastoma has been hindered by the widespread inaccessibility of molecular subgroup testing and paucity of data. To bridge this gap, we established an international molecularly characterized database encompassing 934 medulloblastoma patients from thirteen centers across China and the United States. We demonstrate how image-based machine learning strategies have the potential to create an alternative pathway for non-invasive, presurgical, and low-cost molecular subgroup prediction in the clinical management of medulloblastoma. Our robust validation strategies-including cross-validation, external validation, and consecutive validation-demonstrate the model's efficacy as a generalizable molecular diagnosis classifier. The detailed analysis of MRI characteristics replenishes the understanding of medulloblastoma through a nuanced radiographic lens. Additionally, comparisons between East Asia and North America subsets highlight critical management implications. We made this comprehensive dataset, which includes MRI signatures, clinicopathological features, treatment variables, and survival data, publicly available to advance global medulloblastoma research.

Single Cell Metabolic Landscape of Pituitary Neuroendocrine Tumor Subgroups and Lineages.

Pituitary neuroendocrine tumors (PitNETs) are common intracranial tumors comprising numerous subtypes whose metabolic profiles have yet to be fully examined. The present in silico study analyzed single-cell expression profiles from 2311 PitNET cells from various lineages and subtypes to elucidate differences in metabolic activities. Gonadotroph tumors exhibited high activities with histidine metabolism, whose activity is low in lactotroph tumors. Somatotroph tumors enriched for sulfur and tyrosine metabolism, while lactotroph tumors were enriched metabolism of nitrogen, ascorbate, and aldarate. PIT-1 lineage tumors exhibited high sulfur and thiamine metabolism. These results set precedence for further translational studies for subgroup/lineage specific targeted therapies.

Characterization of neurosurgery fellowship directors: strengths and room for improvement.

BACKGROUND: While many current and aspiring neurosurgeons are looking to supplement their clinical practices with leadership positions, there has not been research characterizing current leadership positions such as fellowship directors (FDs) in neurosurgery to provide insight into objective qualities that distinguish these individuals from the rest of the workforce. This study aims to outline the current characterization of spine, endovascular, pediatric, and stereotactic and functional neurosurgery fellowship directors. METHODS: A list of accredited neurosurgical fellowship programs located within the US and their respective directors was acquired through the AANS Neurosurgical Fellowship Training Program Directory. This study obtained educational, demographic, institutional, research, and professional background variables through curriculum vitae, institutional profiles, personal websites, emails, and the Scopus database. RESULTS: Of the 152 FDs analyzed, 143 (94%) were male, 9 (6%) were female, and the mean age was 52.2±8.5 years. The mean Scopus H-index and mean total citations for all FDs was 27±15.7 and 3782.1±4526.7, respectively. Furthermore, the majority of FDs were Caucasian (69.1%), followed by Asian (20.4%), Black or African American (5.3%), and Hispanic or Latino (5.3%). The mean number of years as FD was 8.9±7.2. CONCLUSIONS: This analysis showed neurosurgery fellowship directors are primarily Caucasian males. Neurosurgery training pedigree seems to play a role in FD attainment. In addition, these directors are largely distinguished by their research productivity. This analysis serves as an insight into the current climate for students aspiring to serve as academic leaders in the field of neurosurgery.

Characterizing negative reviews of orthopedic spine surgeons and practices.

Background: Recent evidence suggests that patients prefer subjective and crowd-sourced information over data-driven or quality-based outcomes when choosing a surgeon. Online physician rating and review websites continue to increase in popularity, and over half of patients use them to research physicians. Specifically, Yelp.com is the most frequently utilized online resource by patients. Data regarding the characteristics of negative reviews for spine surgeons and practices is lacking. Methods: Orthopedic Spine surgeons and practices in 8 major US metropolitan regions were surveyed for one-star reviews on Yelp.com. The factors noted in the reviews were recorded and they were classified according to their clinical or nonclinical nature. Reviews were also subclassified into nonsurgical or surgical episodes of care. Results: A total of 6,286 Yelp reviews were discovered, 671 (10.6%) of which were rated one-star. The majority of negative reviews (76.4%) were from patients who did not report surgery by the surgeon or practice. Of all comments, 491 (77.6%) related to nonclinical complaints. The most common factors noted in negative reviews were related to bedside manner, rude or unprofessional staff, and wait time. Conclusion: Choosing a surgeon is a complex process for patients. The large majority of negative reviews were related to nonclinical issues such as poor bedside manner or rude staff and most of these were written by patients that did not undergo a surgical procedure. This may explain the large discrepancy that has been observed between quality metrics and online crowd-sourced reviews. Paying attention to these nonclinical factors may represent the most feasible and valuable targets to improve a surgeon's practice and attract future patients.

Diversity, Equity, and Inclusion Among Anesthesiology Trainees.

Background: Historically in medicine, women and minorities have been underrepresented. This trend is especially significant in the anesthesiology workforce. Objective: The goals of this study were to quantify the current state of diversity by race/ethnicity, gender, and sexual orientation among anesthesiology residents. Methods: An institutionally reviewed and validated survey was delivered through Qualtrics to 130 anesthesiology program directors. Topics addressed included gender identity, sexual orientation, racial and ethnic background, rationale for pursuing anesthesiology, and medical training experiences. The study was administered from February to April 2021; 135 anesthesiology residents responded to the survey. Results: The sample was 44.4% white (n = 60), 54.1% male (n = 73), and 83.7% (n = 113) of respondents self-reported as straight or heterosexual. Respondents indicated that role models/mentors were somewhat or very important in their desire to pursue anesthesiology (n = 85; 67.2%), 42% reported that having women/diverse faculty was somewhat or very important in their decision to pursue anesthesiology. Discrimination during the anesthesiology residency application process or as a resident ranged from 4.4% due to sexual orientation to 18.7% due to gender/gender identity and race/ethnicity. Conclusions: Experiences of discrimination based on race/ethnicity, gender, and gender identity continues to be a concern among anesthesiology trainees. Creating an environment that is inclusive and supportive of all trainees regardless of race/ethnicity, gender/gender identity, and sexual orientation is needed. Interventions and strategies to create an inclusive environment may improve diversity within anesthesiology.

The Practicality of Post-mortem Imaging in Prenatal, Perinatal, and Pediatric Cases.

The essential role of the autopsy is seen in its contributions to medical care, scientific research, and family counseling. Major contributions are also noted in forensic pathology as a means to determine cause-of-death for legal and medical experts. However, autopsy acceptance rates are quite low due to an array of reasons including delayed burials, faith, and moral burdening. Thus, non-invasive post-mortem imaging strategies are becoming increasingly popular. The objective of this literature review is to evaluate the strengths and weaknesses of numerous post-mortem imaging modalities and consider their benefits over the traditional autopsy. The need for expertise in image interpretation for pediatric and perinatal cases is also discussed. A variety of publications, totaling 32 pieces, were selected from available literature on the basis of relevance. These articles studied various perinatal and pediatric post-mortem imaging strategies and their applications in clinical practice. Key strategies include post-mortem MRI, post-mortem CT, fetal post-mortem sonography, post-mortem computed tomographic angiography, and three-dimensional surface scanning. There is a general consensus that no standard model for post-mortem imaging currently exists in the United States and European countries. Amongst the imaging modems studied, post-mortem MRI has been acknowledged to show the greatest promise in diagnostic accuracy for fetal age groups. Most studies demonstrated that post-mortem CT had limited use for autopsy. Post-mortem imaging strategies for autopsy have high potential given their minimal invasiveness and increasing popularity. Furthermore, it is vital to crafting a global standard procedure for post-mortem imaging for prenatal, perinatal, and pediatric cases to better understand the cause of death, decomposition factors, and effects in-utero, and to provide an alternative to traditional autopsy.

Reviewing applications of structural and functional MRI for bipolar disorder.

Bipolar disorders (BDs) represent one of the leading causes of disability and morbidity globally. The use of functional magnetic resonance imaging (fMRI) is being increasingly studied as a tool to improve the diagnosis and treatment of BDs. While morphological biomarkers can be identified through the use of structural magnetic resonance imaging (sMRI), recent studies have demonstrated that varying degrees of both structural and functional impairments indicate differing bipolar subtypes. Within fMRI, resting-state fMRI has specifically drawn increased interest for its capability to detect different neuronal activation patterns compared to task-based fMRI. This study aims to review recently published literature regarding the use of fMRI to investigate structural-functional relationships in BD diagnosis and specifically resting-state fMRI to provide an opinion on fMRI's modern clinical application. All sources in this literature review were collected through searches on both PubMed and Google Scholar databases for terms such as 'resting-state fMRI' and 'functional neuroimaging biomarkers of bipolar disorder'. While there are promising results supporting the use of fMRI for improving differential accuracy and establishing clinically relevant biomarkers, additional evidence will be required before fMRI is considered a dependable component of the overall BD diagnostic process.

The Limited Sensitivity of Chest Computed Tomography Relative to Reverse Transcription Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus-2 Infection: A Systematic Review on COVID-19 Diagnostics.

OBJECTIVES: Several studies suggest the sensitivity of chest computed tomography (CT) is far greater than that of reverse transcription polymerase chain reaction (RT-PCR) in diagnosing COVID-19 patients, and therefore, CT should be included as a primary diagnostic tool. This systematic review aims to stratify studies as high or low risk of bias to determine the true sensitivity of CT for severe acute respiratory syndrome coronavirus-2 infection according to the unbiased (low risk) studies, a topic of particular importance given the insufficient quantity of RT-PCR kits in many countries. We focus on sensitivity as that is the chief advantage perceived of CT. MATERIALS AND METHODS: This systematic review involved searching the PubMed and Google Scholar databases for articles conducted and published between January 1 and April 15, 2020. The quality assessment tool QUADAS-2 was used to stratify studies according to their risk of bias, and exclusion criteria included not providing the information deemed relevant for such a stratification, such as not indicating if the patients were symptomatic or asymptomatic, or identifying the source of the specimen for the reference standard, RT-PCR (eg, nasal, oropharyngeal, etc). Sensitivity values were then extracted, and random effects meta-analyses were performed. RESULTS: Of 641 search results, 37 studies (n = 9610 patients) were included in the analysis. The mean sensitivity of RT-PCR for COVID-19 reported by the biased studies was 70% (n = 5409/7 studies; 95% confidence interval [CI], 43-97; I = 99.1%), compared with 78% by unbiased studies (n = 534/4 studies; 95% CI, 69-87, I = 89.9%). For chest CT, the mean sensitivity reported by biased studies was 94% (n = 3371 patients/24 studies; 95% CI, 92-96; I = 93.1%), compared with 75% by unbiased studies (n = 957/10 studies; 95% CI, 67-83; I = 89.5%). CONCLUSIONS: The difference between the sensitivities of CT and RT-PCR for severe acute respiratory syndrome coronavirus-2 infection is lower than previously thought, as after stratifying the studies, the true sensitivity for CT based on the unbiased studies is limited.