Planned neck dissection following chemo-radiotherapy in advanced HNSCC

BACKGROUND: Neck dissection has traditionally played an important role in the management of patients with regionally advanced head and neck squamous cell carcinoma (HNSCC) treated with radical radiotherapy alone. However, with the incorporation of chemotherapy in the therapeutic strategy for advanced HNSCC and resultant improvement in outcome the routine use of post chemo-radiotherapy neck dissection is being questioned. METHODS: Published data for this review was identified by systematically searching MEDLINE, CANCERLIT & EMBASE databases from 1995 until date with restriction to the English language. RESULTS: There is lack of high quality evidence on the role of planned neck dissection in advanced HNSCC treated with chemo-radiotherapy. A systematic literature search could identify only one small randomized controlled trial (Level I evidence) addressing this issue, albeit with major limitations. Upfront neck dissection followed by chemo-radiotherapy resulted in better disease-specific survival as compared to chemoradiation only. Several single arm prospective and retrospective reports were also identified with significant heterogeneity and often-contradictory conclusions. CONCLUSIONS: Planned neck dissection after radical chemo-radiotherapy achieves a high level of regional control, but its ultimate benefit is limited to a small subset of patients only. Unless there are better non-invasive ways to identify residual viable disease, the role of such neck dissection shall remain debatable. A large randomized controlled trial addressing this issue is needed to clarify its role and provide evidence-based answers

Cyclophosphamide plus total body irradiation compared with busulfan plus cyclophosphamide as a conditioning regimen prior to hematopoietic stem cell transplantation in patients with leukemia: a systematic review and meta-analysis

BACKGROUND AND OBJECTIVESCyclophosphamide plus total body irradiation (CYTBI) and oral busulfan plus cyclophosphamide (BUCY) are commonly used conditioning regimens prior to allogeneic hematopoietic stem cell transplantation (HSCT) in patients with leukemia. However, there is conflicting data on the superiority of one regimen over the other. Our aim was to critically appraise and synthesize available evidence regarding the efficacy and safety of CYTBI compared to BUCY as a conditioning regimen.DESIGN AND SETTINGSystematic review and meta-analysis of randomized, controlled trials (RCTs) comparing BUCY with CYTBI.METHODSWe did a systematic search of the indexed medical literature using appropriate keywords to identify potentially relevant articles. The primary outcome of interest was efficacy measured by overall survival (OS) and disease-free survival (DFS). Acute and late toxicity were secondary endpoints. Meta-analysis was attempted only on RCTs. A relative risk or risk ratio (RR) and 95% confidence interval (CI) was calculated for each outcome in the meta-analysis.RESULTSFifteen non-randomized comparative studies involving 6280 patients were included in a narrative review without attempting a pooled analysis, in view of the potential for significant bias. Outcome data from seven RCTs involving 730 patients randomly assigned to either CYTBI or BUCY was pooled using meta-analytic methods. CYTBI was associated with a modest but non-significant reduction in all cause mortality (RR=0.82, 95%CL: 0.64–1.05; P=.12) and relapse of leukemia (RR=0.89, 95%CI: 0.72–1.10; P=.28). Transplant-related mortality (TRM) was significantly lesser with CYTBI compared to oral BUCY (RR-0.53, 95%CI: 0.31-0.90; P=.02). The cumulative incidence of major complications was not significantly different between the two regimens, but specific complications varied according to the conditioning regimen. TBi-based regimens were associated with more severe late effects on growth and development in children.CONCLUSIONThis analysis represents the largest comparative analyses of CYTBI with BUCY as a conditioning regimen prior to HSCT in the indexed medical literature. Conditioning regimen and disease (type and setting) can significantly affect outcomes. TRM is significantly lesser with CYTBI, but this does not translate into a significant survival benefit. There remain valid concerns regarding the late effects of TBI, particularly in children. Although not overly superior, the weight of evidence favors CYTBI over BUCY as a first choice-conditioning regimen in patients with leukemia

Dopamine induces functional extracellular traps in microglia

Dopamine (DA) plays many roles in the brain, especially in movement, motivation, and reinforcement of behavior; however, its role in regulating innate immunity is not clear. Here, we show that DA can induce DNA-based extracellular traps in primary, adult, human microglia and BV2 microglia cell line. These DNA-based extracellular traps are formed independent of reactive oxygen species, actin polymerization, and cell death. These traps are functional and capture fluorescein (FITC)-tagged Escherichia coli even when reactive oxygen species production or actin polymerization is inhibited. We show that microglial extracellular traps are present in Glioblastoma multiforme. This is crucial because Glioblastoma multiforme cells are known to secrete DA. Our findings demonstrate that DA plays a significant role in sterile neuro-inflammation by inducing microglia extracellular traps

Dietary lysine requirement of juvenile Silver pompano, Trachinotus blochii (Lacepede, 1801)

A 12-week feeding trial was conducted to quantify the dietary lysine requirement of juvenile silver pompano with an initial average weight of 6.28 g reared in indoor recirculatory system. Six treatment diets were designed with isonitrogenous, isolipidic and isoenergetic diets. (42% CP, 6% CL and 4.28 kcal g−1 GE) were formulated with graded levels of lysine (1.52, 1.85, 2.21, 2.49, 2.74 and 2.98 g/100 g, dry diet). Equal amino acid nitrogen was maintained by replacing lysine with nonessential amino acid mixture. Fish were randomly stocked, in triplicate groups, in 180 L indoor glass rectangular tanks with recirculatory system and fed to apparent satiation over two feedings at 10:00 and 16:00 h daily during the experimental period. The results indicated that there were significant differences in growth and feed utilization among the treatments. Fish fed diets with lysine in different treatments showed high survival rate (95–100%). Maximum weight gain (WG), specific growth rate (SGR) and protein efficiency ratio (PER) occurred at 2.21% dietary lysine. The hepatosomatic index (HSI), viscerosomatic index (VSI) and crude protein content in whole body were significantly affected by dietary lysine levels. There were significant differences (P < .05) in total serum protein levels and erythrocyte count in fish fed diets with different dietary lysine levels. No significant differences were observed in the levels of serum glucose, triglycerides and creatinine levels among the treatments. In the present study, optimization of fitted quadratic regression of weight gain%, SGR, PER and FER on lysine in diet revealed that the optimum lysine requirement of silver pompano was in the range of 2.40–2.45% of dry diet (5.71–5.83% of dietary crude protein)

Brain Metastases in Soft Tissue Sarcomas: Case Report and Literature Review

Background and purpose: Brain metastasis is a relatively uncommon event in the natural history of soft tissue sarcomas. The increasing use of chemotherapy may have caused a reduction in local relapses as well as distant failures leading to an improvement in survival, thereby allowing metachronous seeding of the brain, a sanctuary site. The purpose of this report is to increase awareness amongst clinicians regarding such a possibility

Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

Grading of gliomas is a piece of critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features is subjective, requires multiple MRI sequences, is quite complex and clinically demanding, and can very often result in erroneous radiological diagnosis. We used a radiomics approach with machine learning classifiers to determine the grade of gliomas. Eighty-three patients with histopathologically proven gliomas underwent MRI of the brain. Whenever available, immunohistochemistry was additionally used to augment the histopathological diagnosis. Segmentation was performed manually on the T2W MR sequence using the TexRad texture analysis softwareTM, Version 3.10. Forty-two radiomics features, which included first-order features and shape features, were derived and compared between high-grade and low-grade gliomas. Features were selected by recursive feature elimination using a random forest algorithm method. The classification performance of the models was measured using accuracy, precision, recall, f1 score, and area under the curve (AUC) of the receiver operating characteristic curve. A 10-fold cross-validation was adopted to separate the training and the test data. The selected features were used to build five classifier models: support vector machine, random forest, gradient boost, naive Bayes, and AdaBoost classifiers. The random forest model performed the best, achieving an AUC of 0.81, an accuracy of 0.83, f1 score of 0.88, a recall of 0.93, and a precision of 0.85 for the test cohort. The results suggest that machine-learning-based radiomics features extracted from multiparametric MRI images can provide a non-invasive method for predicting glioma grades preoperatively. In the present study, we extracted the radiomics features from a single cross-sectional image of the T2W MRI sequence and utilized these features to build a fairly robust model to classify low-grade gliomas from high-grade gliomas (grade 4 gliomas)

Impact of immobilisation and image guidance protocol on planning target volume margins for supine craniospinal irradiation

Background: The setup errors during supine-CSI (sCSI) using single or dual immobilisation (SM, DM) subsets from two institutions were reviewed to determine if DM consistently decreased the required planning target volumes (PTV) margins and to identify the optimal image guidance environments. Materials and methods: Ours and a sister institutional cohort, each with a subset of SM or DM sCSI and daily 3-dimensional online image verification sets, were reviewed for the cranial and spinal regions translational shifts. Using descriptive statistics, scatter plots and independent sample Mann-Whitney test we compared shifts in each direction for two subsets in each cohort deriving PTV margins (Van Herk: VH, Strooms: St recipes) for the cranial and spinal regions. Three image guidance (IG) protocols were simulated for two regions on the combined cohort with SM and DM subsets to identify the most optimal option with the smallest PTV margin. The IG protocols: 3F, 5F and 5FB where the systematic error correction was done using the average error from the first three, five and in the cranium alone (applied to both the cranium and spine, otherwise) for the first five set-ups, respectively. Results: 6968 image sets for 179 patients showed DM could consistently reduce the PTV margin (VH/St) for the cranium from 6/5 to 4/3.5 (31.8/30.8%) and 6/4 to 4/3.5 mm (30.5/16.8%) for primary and validation cohort, respectively. Similarly, for the spine it was 10/8.5 to 6/5.5 (38.6/38.4%) and 9/7.7 to 7/6 (21.6/21.4%), respectively. The “5F-IG” resulted in the smallest margins for both the cranial (3 mm) and spinal region (5 mm) for DM with estimated 95% CTV coverage probability. Conclusion: DM with 5F-IG would significantly reduce the required PTV margins for sCSI

Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction

Aim: Early diagnosis of paediatric brain tumors significantly improves the outcome. The aim is to study magnetic resonance imaging (MRI) features of paediatric brain tumors and to develop an automated segmentation (AS) tool which could segment and classify tumors using deep learning methods and compare with radiologist assessment. Methods: This study included 94 cases, of which 75 were diagnosed cases of ependymoma, medulloblastoma, brainstem glioma, and pilocytic astrocytoma and 19 were normal MRI brain cases. The data was randomized into training data, 64 cases; test data, 21 cases and validation data, 9 cases to devise a deep learning algorithm to segment the paediatric brain tumor. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the deep learning model were compared with radiologist’s findings. Performance evaluation of AS was done based on Dice score and Hausdorff95 distance. Results: Analysis of MRI semantic features was done with necrosis and haemorrhage as predicting features for ependymoma, diffusion restriction and cystic changes were predictors for medulloblastoma. The accuracy of detecting abnormalities was 90%, with a specificity of 100%. Further segmentation of the tumor into enhancing and non-enhancing components was done. The segmentation results for whole tumor (WT), enhancing tumor (ET), and non-enhancing tumor (NET) have been analyzed by Dice score and Hausdorff95 distance. The accuracy of prediction of all MRI features was compared with experienced radiologist’s findings. Substantial agreement observed between the classification by model and the radiologist’s given classification [K-0.695 (K is Cohen’s kappa score for interrater reliability)]. Conclusions: The deep learning model had very high accuracy and specificity for predicting the magnetic resonance (MR) characteristics and close to 80% accuracy in predicting tumor type. This model can serve as a potential tool to make a timely and accurate diagnosis for radiologists not trained in neuroradiology

Prospective subjective evaluation of swallowing function and dietary pattern in head and neck cancers treated with concomitant chemo-radiation

Aim : Prospective subjective evaluation of swallowing function and dietary pattern in locally advanced head and neck cancer patients treated with concomitant chemo-radiotherapy (CRT). Materials and Methods : Prospective evaluation of swallowing function with performance status scale for head and neck cancer patients (PSSHN) at pre-CRT, CRT completion and at subsequent follow-ups in adult with loco-regionally advanced head and neck squamous cell carcinoma (HNSCC) patients. Results : In 47 patients (40 male, seven females; mean age 53; 72% smoker 53%, oropharyngeal cancer), the mean total PSSHN score at pre-CRT was 258.5 and decreased to 225.2 and 219.2 at two and six months respectively. Understandability of speech, normalcy in diet and eating in public at pre-CRT and six months were 91.5 and 84.4; 80.4 and 63.1; 87.3 and 76.6 respectively. In univariate analysis, pre-CRT PSSHN scores were significantly lesser in patients with severe pre-CRT dysphagia (P = 0.001), hypopharyngeal cancer (P = 0.244) and advanced T-stage (T3/4) disease (P = 0.144). At CRT completion, there was significant reduction of PSSHN scores in patients with severe pre-CRT dysphagia (P = 0.008), post-CRT weight loss (&gt;10%) and disease progression (P = 0.039). At two months and six months, 17 (57%) and 11 (73.5%) patients respectively showed change in dietary habit. Mean increase in meal time was 13% and 21% at two and six-month follow-up. Conclusions : HNSCC patients show deterioration in swallowing function after CRT with normalcy of diet in maximum and eating in public least affected. Pre-CRT severity of dysphagia, weight loss&gt; 10% and disease progression have significant correlation with higher swallowing function deterioration after CRT