Lymphocele following lymph node dissection in cervical and endometrial cancer: A systematic review and meta-analysis

Objectives: The purpose of this systematic review and meta-analysis was to evaluate the proportion and risk factors of lymphoceles and symptomatic lymphoceles after PLND in early-stage cervical and early-stage high or high-intermediate risk endometrial cancer. Methods: Studies reporting on the proportion of lymphocele after PLND were conducted in PubMed, Embase and Cochrane Library. Retrieved studies were screened on title/abstract and full text by two reviewers independently. Quality assessment was conducted using the Newcastle Ottowa Scale and the Cochrane risk-of-bias tool. Proportion of lymphocele and possible risk factors were pooled through random-effects meta-analyses. Results: From the 233 studies retrieved, 24 studies were included. The pooled proportion of lymphocele was 14% and of symptomatic lymphocele was 3%. Routinely performing diagnostics was associated with a significantly higher proportion of lymphocele compared to diagnostics performed on indication (21% versus 4%, p 15% of the study population underwent additional paraaortic lymph node dissection (PAOLND) opposed to <15% (15% versus 3%, p < 0.01). A mean number of lymph nodes dissected of <21 resulted in a significantly higher pooled proportion of lymphoceles opposed to when the mean number was 21 or higher (19% versus 5%, p = 0.02). Other risk factors analysed were BMI, lymph node metastasis, adjuvant radiotherapy and follow up. There was no sufficient data to detect significant risk factors for the development of symptomatic lymphoceles. Conclusion: The pooled proportion of lymphocele was 14% of which symptomatic lymphoceles occurred in 3%. Significant risk factors for the total proportion of lymphoceles were laparotomic approach, decreased number of lymph nodes dissected and additional PAOLND

The influence of learning curve of robot-assisted laparoscopy on oncological outcomes in early-stage cervical cancer: an observational cohort study

OBJECTIVE: To investigate the learning curve of robot-assisted laparoscopy in early-stage cervical cancer and quantify impact on oncological outcomes. DESIGN: Observational cohort study. SETTING: Tertiary referral centre with one surgical team. POPULATION: All women with early-stage cervical cancer treated consecutively with robot-assisted laparoscopy between 2007 and 2017. METHODS: With multivariate risk-adjusted cumulative sum analysis (RA-CUSUM), we assessed the learning curve of robot-assisted laparoscopy of a single surgical team based on cervical cancer recurrence. Subsequently, a survival analysis was conducted comparing oncological outcomes of women treated during different phases of the learning curve. MAIN OUTCOME MEASURES: Surgical proficiency based on recurrence, survival rates in the different learning phases. RESULTS: One hundred and sixty-five women with cervical cancer underwent robot-assisted laparoscopy, with a median follow up of 57 months (range 3-132 months). The RA-CUSUM analysis demonstrated two phases of the learning curve: a learning phase of 61 procedures (group 1) and an experienced phase representing the 104 procedures thereafter (group 2). The 5-year disease-free survival was 80.2% in group 1 and 91.1% in group 2 (P = 0.040). Both the 5-year disease-specific survival and overall survival significantly increased after the learning phase. CONCLUSION: The learning phase of robot-assisted laparoscopy in early-stage cervical cancer in this institutional cohort is at least 61 procedures, with higher survival rates in the women treated thereafter. The learning curve of robot-assisted laparoscopy affects oncological outcomes and warrants more attention in the design of future studies. TWEETABLE ABSTRACT: The learning curve of robot-assisted laparoscopy in early-stage cervical cancer affects oncological outcomes and warrants more attention

Value of routine cytokeratin immunohistochemistry in detecting low volume disease in cervical cancer

Objective: In cervical cancer, sentinel lymph nodes (SLNs) are processed according to the pathological ultrastaging protocol. According to current guidelines, immunohistochemistry with pancytokeratin antibodies is performed in addition to step sectioning with hematoxylin and eosin (H&E), aiding the detection of low volume disease (micrometastasis and isolated tumor cells (ITC)). We studied the added clinical value, and costs, of routine immunohistochemistry (IHC). Methods: We retrospectively included all FIGO stage IA-IIA1 cervical cancer patients who had undergone SLN procedures at UMC Utrecht from 2008 to 2020. Pathological data were derived from the Dutch Pathology Registry (PALGA) including SLN tumor status and number of slides stained with IHC. Results: In total 234 cervical cancer patients were included. In the 516 surgically resected SLN specimens, 630 SLNs were discovered by the pathologist. Hereof, 579 SLNs from 211 patients were routinely processed with IHC. IHC identified three patients with micrometastasis and five patients with ITC undetected with H&E staining. Thereby, IHC significantly increased the number of patients with low volume disease from 11 (5.3%) to 19 patients (9.1%) (p = 0.04). To achieve this, 3791 slides were stained with IHC at an estimated additional cost of €94,775. In 1.4% (95% CI 0.3%–4.3%) of patients routine use of IHC adjusted the adjuvant treatment. Conclusions: Routine use of IHC increases detection of low volume disease in cervical cancer SLNs compared to step sectioning with H&E alone by nearly 4%, with an impact on therapeutic strategy-decisions in about 1% of patients. In view of the high associated costs, cost-effectiveness of routine IHC is questionable

ENIGMA-anxiety working group : rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

Paired Associative Stimulation of the Auditory System: A Proof-Of-Principle Study

Background Paired associative stimulation (PAS) consisting of repeated application of transcranial magnetic stimulation (TMS) pulses and contingent exteroceptive stimuli has been shown to induce neuroplastic effects in the motor and somatosensory system. The objective was to investigate whether the auditory system can be modulated by PAS. Methods Acoustic stimuli (4 kHz) were paired with TMS of the auditory cortex with intervals of either 45 ms (PAS(45 ms)) or 10 ms (PAS(10 ms)). Two-hundred paired stimuli were applied at 0.1 Hz and effects were compared with low frequency repetitive TMS (rTMS) at 0.1 Hz (200 stimuli) and 1 Hz (1000 stimuli) in eleven healthy students. Auditory cortex excitability was measured before and after the interventions by long latency auditory evoked potentials (AEPs) for the tone (4 kHz) used in the pairing, and a control tone (1 kHz) in a within subjects design. Results Amplitudes of the N1-P2 complex were reduced for the 4 kHz tone after both PAS(45 ms) and PAS(10 ms), but not after the 0.1 Hz and 1 Hz rTMS protocols with more pronounced effects for PAS(45 ms). Similar, but less pronounced effects were observed for the 1 kHz control tone. Conclusion These findings indicate that paired associative stimulation may induce tonotopically specific and also tone unspecific human auditory cortex plasticity

ENIGMA-anxiety working group: rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders