Radiomics for Parkinson's disease classification using advanced texture-based biomarkers

Parkinson's disease (PD) is one of the neurodegenerative diseases and its manual diagnosis leads to time-consuming process. MRI-based computer-aided diagnosis helps medical experts to diagnose PD more precisely and fast. Texture-based radiomic analysis is carried out on 3D MRI scans of T1 weighted and resting-state modalities. 43 subjects from Neurocon and 40 subjects from Tao-Wu dataset were examined, which consisted of 36 scans of healthy controls and 47 scans of Parkinson's patients. Total 360 2D MRI images are selected among around 17000 slices of T1-weighted and resting scans of selected 72 subjects. Local binary pattern (LBP) method was applied with custom variants to acquire advanced textural biomarkers from MRI images. LBP histogram helped to learn discriminative local patterns to detect and classify Parkinson's disease. Using recursive feature elimination, data dimensions of around 150-300 LBP histogram features were reduced to 13-21 most significant features based on score, and important features were analysed using SVM and random forest algorithms. Variant-I of LBP has performed well with highest test accuracy of 83.33%, precision of 84.62%, recall of 91.67%, and f1-score of 88%. Classification accuracies were obtained from 61.11% to 83.33% and AUC-ROC values range from 0.43 to 0.86 using four variants of LBP. • Parkinson's classification is carried out using an advanced biomedical texture feature. Texture extraction using four variants of uniform, rotation invariant LBP method is performed for radiomic analysis of Parkinson's disorder. • Proposed method with support vector machine classifier is experimented and an accuracy of 83.33% is achieved with 10-fold cross validation for detection of Parkinson's patients from MRI-based radiomic analysis. • The proposed predictive model has proved the potential of textures of extended version of LBP, which have demonstrated subtle variations in local appearance for Parkinson's detection

Atmospheric pressure continuous flow methane oxidation to methanol and acetic acid using H2O2 over Au-Fe catalyst

An enormous value proposition exists when molecules like acetic acid and methanol are derived from natural gas. With abundant worldwide resources, methane to methanol (M2M) by partial oxidation or acetic acid through C-insertion is considered one of the catalysis\u27s most enterprising chemical transformations. In this work, significant catalytic challenges successfully tackled are the continuous partial oxidation of methane to methanol and acetic acid at atmospheric pressure. In continuous flow and at atmospheric pressure, a modified silica-supported bimetallic (AuFeHS) catalyzed methane to methanol using H2O2 with an impressive yield of 224 mmol/gFe+Au. Co-feeding CO in the stream produces acetic acid, demonstrating a selectivity switch from methanol with an overall yield of 92 mmol/gFe+Au

Epidermoid of the lateral ventricle: evaluation with diffusion-weighted and diffusion tensor imaging

We report of a large epidermoid tumor of the lateral ventricle in a 67-year-old man. Conventional imaging (CT, T1/T2, MRI) could not differentiate the tumor from the surrounding cerebral spinal fluid (CSF). On diffusion-weighted and diffusion anisotropy images the tumor was clearly seen as a hyperintense mass surrounded by hypointense CSF, highly suspected for epidermoid. Diffusion-tensor imaging (DTI) accentuated its lobulated structure and clearly demonstrated its relationship to neighboring white matter tracts. We suggest that in case of the suspicion of a space-occupying lesion in CSF containing areas, not distinguishable from CSF by conventional MR imaging, diffusion-weighted and diffusion-tensor MR imaging should be adde

Comprehensive Development and Implementation of Good Laboratory Practice for NGS Based Targeted Panel on Solid Tumor FFPE Tissues in Diagnostics

The speed, accuracy, and increasing affordability of next-generation sequencing (NGS) have revolutionized the advent of precision medicine. To date, standardized validation criteria for diagnostic accreditation do not exist due to variability across the multitude of NGS platforms and within NGS processes. In molecular diagnostics, it is necessary to ensure that the primary material of the FFPE sample has good quality and optimum quantity for the analysis, otherwise the laborious and expensive NGS test may result in unreliable information. Therefore, stringent quality control of DNA and RNA before, during, and after library preparation is an essential parameter. Considering the various challenges with the FFPE samples, we aimed to set a benchmark in QC metrics that can be utilized by molecular diagnostic laboratories for successful library preparation and high-quality NGS data output. In total, 144 DNA and 103 RNA samples of various cancer types with a maximum storage of 2 years were processed for 52 gene focus panels. During the making of DNA and RNA libraries, extensive QC check parameters were imposed at different checkpoints. The decision tree approach can be set as a benchmark for FFPE samples and as a guide to establishing a good clinical laboratory practice for targeted NGS panels

EUS-guided left lobe liver biopsy: Safer modality with similar diagnostic yield as right lobe: a pilot study

Background and study aims Percutaneous liver biopsy is traditionally done on the right lobe of the liver. Endoscopic ultrasound-guided liver biopsy (EUS-LB) can be performed on either the left or right lobe or as a combined bi-lobar biopsy. Earlier studies did not compare the benefit of bi-lobar biopsies to single-lobe biopsy for reaching a tissue diagnosis. The current study compared the degree of agreement of pathological diagnosis between the left lobe of the liver compared to right-lobe and with bi-lobar biopsy. Patients and methods Fifty patients fulfilling the inclusion criteria were enrolled in the study. EUS-LB with a 22G core needle was performed separately on both the liver lobes. Three pathologists, who were blinded to the site of biopsy independently reviewed the liver biopsies. Sample adequacy, safety, and concordance of pathological diagnosis between left- and right-lobe biopsy of the liver were analyzed. Results The pathological diagnosis was made in 96 % of patients. Specimen lengths from the left lobe and the right lobe were 2.31 ± 0.57 cm and 2.28 ± 0.69 cm, respectively (P = 0.476). The respective number of portal tracts were 11.84 ± 6.71 versus 9.58 ± 7.14; P = 0.106. Diagnosis between the two lobes showed substantial (κ = 0.830) concordance. Left-lobe (κ value 0.878) and right-lobe (κ = 0.903) biopsies showed no difference when compared with bi-lobar biopsies. Adverse events were observed in two patients, both of whom had biopsies of the right lobe. Conclusions EUS-guided left-lobe liver biopsy is safer than right-lobe biopsy with similar diagnostic yield

Potentially inappropriate medications, their adverse events, and impact on geriatric vulnerabilities, frailty, and survival in older Indian patients with cancer: A retrospective observational study

Background: Older adults often have chronic diseases for which they receive multiple drugs, which may be potentially inappropriate. Objectives: We aimed to describe the potentially inappropriate medications (PIMs) leading to adverse drug events (ADEs) in older patients with cancer. Our secondary objectives were to evaluate the association of nutrition, cognition, and frailty with PIM-related ADEs and to assess the impact of PIM-related ADEs on overall survival (OS). We also investigated the cut-off for defining polypharmacy as related to ADEs. Materials and Methods: This was a retrospective observational study on patients with cancer aged 60 years and over who were assessed in the geriatric oncology clinic at the Tata Memorial Hospital (Mumbai, India) from June 2018 to August 2022. Medications, PIM assessment, nutrition (assessed by Mini Nutritional Assessment [MNA]), cognition (assessed by Mini Mental State Examination [MMSE] and Hindi Mental State Examination), and frailty (assessed by the Clinical Frailty Scale [CFS]) were extracted from the geriatric oncology clinic database. PIMs were identified using the Beers criteria, European Union-7 (EU[7])-PIM, Screening Tool of Older person's Prescriptions/Screening tool to Alert to Right Treatment (STOPP/START), Fit fOR The Aged (FORTA), and PRISCUS list. Results: In total, 1472 patients were assessed in the geriatric oncology clinic, of which 823 (55.9%) were enrolled in the study. There were 1287 PIMs detected in 823 patients, of which 431 (33.5%) led to ADEs and 856 (66.5%) did not. Proton pump inhibitors and tramadol were the most common PIMs identified. ADEs were noted in 54 (14.7%) patients on proton pump inhibitors and in 145 (61.1%) patients on tramadol. ADEs were significantly associated with malnutrition, lower cognition, and frailty. The median MNA score in patients without and with ADEs was 20.5 (interquartile range [IQR], 17.5-24.0) and 19.5 (IQR, 15.5–23.5), respectively; P, 0.001. The median MMSE score for the patients without and with ADEs was 28 (IQR, 26-29) and 27 (IQR: 25-29), respectively; P, 0.001. The median CFS scores for the patients without and with ADEs were 3 (IQR, 2-4) and 4 (IQR, 3-5), respectively; P < 0.001. The median OS in patients without and with ADEs was 13.1 months (95% confidence interval [CI], 10.64-17.87) and 10.2 months (95% CI, 8.80-12.85), respectively; P, 0.002. The optimal cut-off for polypharmacy leading to ADEs was 4.5 medications. Conclusions: There is a dire need to recognize and appropriately manage PIMs in older patients with cancer as PIM-related toxicities may negatively impact survival. Monitoring PIMs and following the recommendations to optimize the dose, avoid the drug, and find alternatives may improve the oncologic outcomes. Future studies should focus on adding a control group of patients not on PIMs, following up on PIM after recommendations, and investigating the impact of these recommendations on oncologic outcomes (Clinical Trials Registry-India: CTRI/2020/04/024675)

Real-World Evidence of EGFR Targeted Therapy in NSCLC– A Brief Report of Decade Long Single Center Experience

The significance of EGFR targeted therapy in the lung adenocarcinoma is paramount. Several controlled clinical trials have reported considerable survival of EGFR mutation positive patients on receiving the EGFR tyrosine kinase inhibitor (TKI). However, the real-world evidence of benefits of EGFR TKI would be further useful to understand how the designated therapeutic regimen benefits the patients. In this study, we report a decade long real-world evidence of EGFR molecular testing in lung cancer at Tata Memorial Hospital (Mumbai, India). Laboratory and hospital records containing basic demographic details, clinical characteristics, treatment regimen, survival outcome were collected retrospectively. Statistical association and survival analysis were performed using the R programming. The cohort includes 9,053 lung cancer patients tested for EGFR mutations during 2011 to 2019. Baseline T790M and compound mutations were the only mutations observed co-occurring while all other EGFR mutations were mutually exclusive. Furthermore, the baseline T790M were also observed to be associated with TTF1 positivity, smoking and local metastasis. Overall survival of the patients harboring co-occurring compound mutations was significantly lesser than the other EGFR positive patients. Overall, our study suggests that EGFR TKI may provide real-world benefit to the lung cancer patients harboring mutually exclusive EGFR mutations. On the other hand, further systematic study is essential to develop better therapeutic regimen for co-occurring baseline EGFR T790M and other compound mutations