Molecular Markers and Targeted Therapeutics in Metastatic Tumors of the Spine: Changing the Treatment Paradigms

STUDY TYPE.: Review of the Literature OBJECTIVE.: To discuss the evolution of molecular signatures and the history and development of targeted therapeutics in metastatic tumor types affecting the spinal column. SUMMARY OF BACKGROUND DATA.: Molecular characterization of metastatic spine tumors is expected to usher in a revolution in diagnostic and treatment paradigms. Molecular characterization will provide critical information that can be used for initial diagnosis, prognosticating the ideal treatment strategy, assessment of treatment efficacy, surveillance and monitoring recurrence, and predicting complications, clinical outcome, and overall survival in patients diagnosed with metastatic cancers to the spinal column. METHODS.: A review of the literature was performed focusing on illustrative examples of the role that molecular based therapeutics have played in clinical outcomes for patients diagnosed with metastatic tumor types affecting the spinal column. RESULTS.: The impact of molecular therapeutics including receptor tyrosine kinases and immune checkpoint inhibitors and the ability of molecular signatures to provide prognostic information are discussed in metastatic breast cancer, lung cancer, prostate cancer, melanoma, and renal cell cancer affecting the spinal column. CONCLUSION.: For the providers who will ultimately counsel patients diagnosed with metastases to the spinal column, molecular advancements will radically alter the management/surgical paradigms utilized. Ultimately, the translation of these molecular advancements into routine clinical care will greatly improve the quality and quantity of life for patients diagnosed with spinal malignancies and provide better overall outcomes and counseling for treating physicians.Level of Evidence: N/

Supplemental Material, GSJ741114_suppl_mat - Local and Distant Recurrence in Resected Sacral Chordomas: A Systematic Review and Pooled Cohort Analysis

<p>Supplemental Material, GSJ741114_suppl_mat for Local and Distant Recurrence in Resected Sacral Chordomas: A Systematic Review and Pooled Cohort Analysis by Daniel Kerekes, C. Rory Goodwin, A. Karim Ahmed, Jorrit-Jan Verlaan, Chetan Bettegowda, Nancy Abu-Bonsrah, and Daniel M. Sciubba in Global Spine Journal</p

State of African neurosurgical education: An analysis of publicly available curricula

Introduction Africa bears more than 15% of the global burden of neurosurgical disease; however, it has the lowest neurosurgical workforce density worldwide. The past decade has seen an increase in neurosurgery residency programs on the continent. It is unclear how these residency programs are similar or viable. This study highlights the current status, interdepartmental and regional differences, with the main objective of offering a template for improving the provision of neurosurgical education on the continent. Method PubMed and Google Scholar were searched using keywords related to “neurosurgery,” “training,” and “Africa” from database inception to 10/13/2021. The residency curricula were analyzed using a standardized and validated medical education curriculum viability tool. Results Curricula from 14 African countries were identified. The curricula differed in resident recruitment, evaluation mode and frequency, curriculum content, and length of training. The length of training varied from four to eight years with a mean of six years. The Eastern African region had the highest number of examinations, with a mean of 8.5. Few curricula had correlates of viability - ensuring that the instructors are competent (64.3%), prioritization of faculty development (64.3%), faculty participation in decision making (64.3%), prioritization of resident support services (50%), creating a conducive environment for quality education (42.9%), and addressing student complaints (28.6%). Conclusion There are significant differences in the African postgraduate neurosurgical education curriculum warranting standardization. This study has identified areas of improvement for neurosurgical education in Africa

Promoting diversity in neurosurgery through a virtual symposium

The rates of women and underrepresented racial and ethnic minority (UREM) students successfully matching into neurosurgical residency are extremely low and do not reflect the makeup of the general population. As of 2019, only 17.5% of neurosurgical residents in the United States were women, 4.95% were Black or African American, and 7.2% were Hispanic or Latinx. Earlier recruitment of UREM students will help to diversify the neurosurgical workforce. Therefore, the authors developed a virtual educational event for undergraduate students entitled "Future Leaders in Neurosurgery Symposium for Underrepresented Students'' (FLNSUS). The primary objectives of the FLNSUS were to expose attendees to 1) neurosurgeons from diverse gender, racial, and ethnic backgrounds; 2) neurosurgical research; 3) opportunities for neurosurgical mentorship; and 4) information about life as a neurosurgeon. The authors hypothesized that the FLNSUS would increase student self-confidence, provide exposure to the specialty, and reduce perceived barriers to a neurosurgical career. To measure the change in participant perceptions of neurosurgery, pre- and postsymposium surveys were administered to attendees. Of the 269 participants who completed the presymposium survey, 250 participated in the virtual event and 124 completed the postsymposium survey. Paired pre- and postsurvey responses were used for analysis, yielding a response rate of 46%. To assess the impact of participant perceptions of neurosurgery as a field, pre- and postsurvey responses to questions were compared. The change in response was analyzed, and a nonparametric sign test was performed to check for significant differences. According to the sign test, applicants showed increased familiarity with the field (p < 0.001), increased confidence in their abilities to become neurosurgeons (p = 0.014), and increased exposure to neurosurgeons from diverse gender, racial, and ethnic backgrounds (p < 0.001 for all categories). These results reflect a significant improvement in student perceptions of neurosurgery and suggest that symposiums like the FLNSUS may promote further diversification of the field. The authors anticipate that events promoting diversity in neurosurgery will lead to a more equitable workforce that will ultimately translate to enhanced research productivity, cultural humility, and patient-centered care in neurosurgery

Supplemental Material, RCC_Supp_tables - The Challenges of Renal Cell Carcinoma Metastatic to the Spine: A Systematic Review of Survival and Treatment

<p> Supplemental Material, RCC_Supp_tables for The Challenges of Renal Cell Carcinoma Metastatic to the Spine: A Systematic Review of Survival and Treatment by C. Rory Goodwin, A. Karim Ahmed, Christine Boone, Nancy Abu-Bonsrah, Risheng Xu, Niccole Germscheid, Daryl R. Fourney, Michelle Clarke, Ilya Laufer, Charles G. Fisher, Chetan Bettegowda, and Daniel M. Sciubba in Global Spine Journal </p

Video1_Automatic detection of foreign body objects in neurosurgery using a deep learning approach on intraoperative ultrasound images: From animal models to first in-human testing.mp4

Objects accidentally left behind in the brain following neurosurgical procedures may lead to life-threatening health complications and invasive reoperation. One of the most commonly retained surgical items is the cotton ball, which absorbs blood to clear the surgeon’s field of view yet in the process becomes visually indistinguishable from the brain parenchyma. However, using ultrasound imaging, the different acoustic properties of cotton and brain tissue result in two discernible materials. In this study, we created a fully automated foreign body object tracking algorithm that integrates into the clinical workflow to detect and localize retained cotton balls in the brain. This deep learning algorithm uses a custom convolutional neural network and achieves 99% accuracy, sensitivity, and specificity, and surpasses other comparable algorithms. Furthermore, the trained algorithm was implemented into web and smartphone applications with the ability to detect one cotton ball in an uploaded ultrasound image in under half of a second. This study also highlights the first use of a foreign body object detection algorithm using real in-human datasets, showing its ability to prevent accidental foreign body retention in a translational setting.</p

Video2_Automatic detection of foreign body objects in neurosurgery using a deep learning approach on intraoperative ultrasound images: From animal models to first in-human testing.mp4

Objects accidentally left behind in the brain following neurosurgical procedures may lead to life-threatening health complications and invasive reoperation. One of the most commonly retained surgical items is the cotton ball, which absorbs blood to clear the surgeon’s field of view yet in the process becomes visually indistinguishable from the brain parenchyma. However, using ultrasound imaging, the different acoustic properties of cotton and brain tissue result in two discernible materials. In this study, we created a fully automated foreign body object tracking algorithm that integrates into the clinical workflow to detect and localize retained cotton balls in the brain. This deep learning algorithm uses a custom convolutional neural network and achieves 99% accuracy, sensitivity, and specificity, and surpasses other comparable algorithms. Furthermore, the trained algorithm was implemented into web and smartphone applications with the ability to detect one cotton ball in an uploaded ultrasound image in under half of a second. This study also highlights the first use of a foreign body object detection algorithm using real in-human datasets, showing its ability to prevent accidental foreign body retention in a translational setting.</p