Bioelectrical Impedance Analysis (BIA) for the Assessment of Body Composition in Oncology: A Scoping Review.

Bioelectrical Impedance Analysis (BIA) is a reliable, non-invasive, objective, and cost-effective body composition assessment method, with high reproducibility. This scoping review aims to evaluate the current scientific and clinical evidence on BIA for body composition assessment in oncology patients, under active treatment. Literature search was conducted through MEDLINE, CINAHL, Scopus and Web of Science databases, following PRISMA-ScR Guidelines. Inclusion criteria comprised studies reporting the use of BIA for body composition evaluation in adults with cancer diagnosis. Studies including non-cancer pathology or only assessing nutritional status were excluded. This scoping review comprised a total of 36 studies: 25 were original studies including 18 prospective studies, six cross-sectional studies and one retrospective study and 11 were systematic reviews. Population size for the included original articles ranged from 18 to 1217 participants, comprising a total of 3015 patients with cancer with a mean baseline Body Mass Index (BMI) ranging from 20.3 to 30.0 kg/m2 and mean age ranging between 47 and 70 years. Review articles included a total of 273 studies, with a total of 78,350 participants. The current review considered studies reporting patients with head and neck cancer (HNC) (n = 8), breast cancer (BC) (n = 4), esophageal cancer (EC) (n = 2), liver cancer (n = 2), pancreatic cancer (PC) (n = 3), gastric cancer (GC) (n = 3), colorectal cancer (CRC) (n = 8), lung cancer (LC) (n = 1), skin cancer (SK) (n = 1) and multiple cancer types (n = 6). BIA is a suitable and valid method for the assessment of body composition in oncology. BIA-derived measures have shown good potential and relevant clinical value in preoperative risk evaluation, in the reduction of postoperative complications and hospital stay and as an important prognostic indicator in persons with cancer. Future research on the diagnostic value and clinical applications of BIA and BIA-derived phase angle (PhA) should be conducted in order to predict its impact on patient survival and other clinical outcomes.

Trajectories of cognitive performance over five years in a prospective cohort of patients with breast cancer (NEON-BC).

PURPOSE: To identify trajectories of cognitive performance up to five years since diagnosis and their predictors, in a cohort of patients with breast cancer (BCa). METHODS: A total of 464 women with BCa admitted to the Portuguese Institute of Oncology, Porto, during 2012, were evaluated with the Montreal Cognitive Assessment (MoCA) before any treatment, and after one, three and five years. Probable cognitive impairment (PCI) at baseline was defined based on normative age- and education-specific reference values. Mclust was used to define MoCA trajectories. Receiver Operating Characteristic curves were used to assess the predictive accuracy for cognitive trajectories. RESULTS: Two trajectories were identified, one with higher scores and increasing overtime, and the other, including 25.9% of the participants, showing a continuous decline. To further characterize each trajectory, participants were also classified as scoring above or below the median baseline MoCA scores. This resulted in four groups: 1) highest baseline scores, stable overtime (0.0% with PCI); 2) lowest baseline scores (29.5% with PCI); 3) mid-range scores at baseline, increasing overtime (10.5% with PCI); 4) mid-range scores at baseline, decreasing overtime (0.0% with PCI). Adding the change in MoCA during the first year to baseline variables significantly increased the accuracy to predict the downward trajectory (area under the curve [AUC] = 0.732 vs. AUC = 0.841, P < 0.001). CONCLUSION: Four groups of patients with BCa with different cognitive performance trends were identified. The assessment of cognitive performance before treatments and after one year allows for the identification of patients more likely to have cognitive decline in the long term.

Peripheral neuropathy in systemic vasculitis and other autoimmune diseases - a report of five cases emphasizing the importance of etiologic characterization.

INTRODUCTION: Peripheral neuropathies may present in the context of systemic vasculitis and other autoimmune diseases. The etiologic characterization is crucial to define the treatment and prognosis in secondary vasculitis. The purpose of this study is to describe the pathway of etiologic investigation including the role of nerve biopsy. METHODS: Retrospective analysis of patients seen in the neuromuscular outpatient clinic during the last four years with peripheral neuropathy in the context of systemic vasculitis or other autoimmune diseases. RESULTS: We present five patients with stepwise progressive sensorimotor deficits of upper and lower limbs. All patients presented with systemic features and one of them had an established diagnosis of systemic vasculitis. They underwent an extended blood panel, including autoimmune and serologic tests. Electromyography and nerve conduction studies revealed asymmetric axonal sensorimotor polyneuropathies in four patients, and an axonal sensorimotor multiple mononeuropathy in one. Four patients underwent nerve biopsy and the other performed a skin biopsy, with findings suggestive of possible vasculitic processes. The etiologies identified included microscopic polyangiitis, HBV-related polyarteritis nodosa and two eosinophilic granulomatosis with polyangiitis. In the last patient a specific etiology could not be established. CONCLUSION: This series reveals the etiologic and phenotypic diversity of peripheral neuropathies related with systemic vasculitis. The therapeutic approach and prognosis were distinct in each patient, emphasizing the importance of a prompt diagnosis and appropriate treatment.

Serum lactate levels are associated with glioma malignancy grade.

OBJECTIVE: Recent studies have suggested that high grade gliomas are associated with elevated serum lactate concentrations. The aim of the present study is to assess these findings in a sample of patients. PATIENTS AND METHODS: We reviewed the anesthetic charts of patients with low-grade and high-grade glioma who underwent resection surgery and collected serum lactate concentration before tumor resection, as well as other demographic and tumor-related data (age, gender, WHO grade, and size of the tumor). A statistical comparison between patients with normal (<2 mmol/L) and elevated (≥ 2 mmol/L) serum lactate was performed. RESULTS: We included a total of 152 patients (mean age 49.07 years). 62.5% of patients (n = 95) had a high-grade glioma and 37.5% (n = 67) a low-grade glioma. The multivariate regression showed that high grade gliomas had significantly higher lactate concentration (p < 0.01). The OR for elevated pre-resection serum lactate increased from 4.94 to 14.33 after adjusting for age and pre-surgical corticosteroid use, and the AUC for the final regression model was 0.98. CONCLUSION: This study reinforces the role of serum lactate as a potential biomarker of brain tumors malignancy, and its results encourage further research on this subject, in order to improve the understanding of this phenomenon and to assess its potential as prognostic and therapeutic monitoring tool.

GridLoc: An automatic and unsupervised localization method for high-density ECoG grids.

Precise localization of electrodes is essential in the field of high-density (HD) electrocorticography (ECoG) brain signal analysis in order to accurately interpret the recorded activity in relation to functional anatomy. Current localization methods for subchronically implanted HD electrode grids involve post-operative imaging. However, for situations where post-operative imaging is not available, such as during acute measurements in awake surgery, electrode localization is complicated. Intra-operative photographs may be informative, but not for electrode grids positioned partially or fully under the skull. Here we present an automatic and unsupervised method to localize HD electrode grids that does not require post-operative imaging. The localization method, named GridLoc, is based on the hypothesis that the anatomical and vascular brain structures under the ECoG electrodes have an effect on the amplitude of the recorded ECoG signal. More specifically, we hypothesize that the spatial match between resting-state high-frequency band power (45-120 Hz) patterns over the grid and the anatomical features of the brain under the electrodes, such as the presence of sulci and larger blood vessels, can be used for adequate HD grid localization. We validate this hypothesis and compare the GridLoc results with electrode locations determined with post-operative imaging and/or photographs in 8 patients implanted with HD-ECoG grids. Locations agreed with an average difference of 1.94 ±â€¯0.11 mm, which is comparable to differences reported earlier between post-operative imaging and photograph methods. The results suggest that resting-state high-frequency band activity can be used for accurate localization of HD grid electrodes on a pre-operative MRI scan and that GridLoc provides a convenient alternative to methods that rely on post-operative imaging or intra-operative photographs.

The etiology of spontaneous intracerebralhemorrhage: Insights from a neuropathological series.

The etiology of intracerebral hemorrhage (ICH) is frequently undetermined. We aimed to assess the impact of the neuropathological study on the etiologic diagnosis of ICH. Patients with ICH admitted to a tertiary hospital in the last 14 years were identified, and histological samples of surgically-drained ICH were retrieved. Blinded from neuropathological results, a clinical etiology was hypothesized. Pathological samples were reviewed, and immunohistochemistry study for ß-amyloid was performed in all the cases where structural abnormalities were not identified. From 2002 - 2016, 113 patients with ICH underwent surgical drainage and had specimens taken for histology. The mean age was 51.6 years (SD = 19.2). Clinical and imaging data defined a presumable etiology in 47 patients (44.2%), including 30 patients with suspected structural pathology, 11 patients under anticoagulation, and 8 patients with probable hypertensive hemorrhage, while most had an undetermined etiology. Using neuropathological analysis, a definitive diagnosis was possible in 88.5% of the patients. Arteriovenous malformations (38.1%) and cavernous hemangiomas (16.8%) represented the most common findings. In 9.7%, the blood vessels showed cerebral amyloid angiopathy (CAA). The neuropathological study established a definite etiology in an additional 44.3% of patients other than only using the clinical and imaging data.
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DNA ploidy is an independent predictor of survival in breast invasive ductal carcinoma: a long-term multivariate analysis of 393 patients.

PURPOSE: To evaluate "classic" prognostic parameters, as well as DNA ploidy and S-phase fraction (SPF), in relation to disease-free (DFS) and disease-specific (DSS) survival in breast invasive ductal carcinoma (IDC) with long-term follow-up study. METHODS: The study involved 393 patients with IDC and median follow-up of 134 months (50-240). Histological grading, tumor size, axillary nodal involvement, pathological staging and hormone receptor status were considered as established prognostic markers. Ploidy and SPF were determined prospectively by DNA flow cytometry using fresh/frozen tissue. A Cox regression model was used for statistical analysis of the prognostic variables. RESULTS: There were 105 (26.7 %) deaths and 140 (35.6 %) disease recurrences during follow-up. Two hundred thirty-one (58.8 %) tumors were aneuploid. High SPF and aneuploidy were associated with tumors with higher grade of differentiation, greater size and negative hormone receptors. Higher SPF and advanced disease stage are correlated. In univariate analysis, all the clinicopathological and cytometric features, including patients <40 years and a subgroup presenting hypertetraploid/multiploid tumors, are significantly correlated with clinical outcome, apart from SPF and estrogen receptors for DFS. In multivariate analysis, nodal involvement, DNA aneuploidy and lack of progesterone receptors (for DSS) retained statistically significant association with shorter survival. In node-negative patients, ploidy (for DFS) and estrogen receptors (for DSS) significantly predicted survival. In both subgroups of node-positive patients and those (n = 195) with intermediate differentiation tumors (G2), aneuploidy was an indicator of worse prognosis. CONCLUSIONS: Along with nodal status and hormone receptor expression, DNA ploidy is an independent predictor of long-term survival in IDC.