and has since been declared a pandemic by the WHO. COVID-19 is an acute infectious disease, primarily affecting the respiratory system. Currently, real-time reverse transcription polymerase chain reaction (RT-PCR) performed on respiratory specimens is considered the reference by which to diagnose COVID-19. However, the limitations of RT-PCR, specifically, the fact that it is time-consuming and inadequate for the assessment of disease severity, have affected the process of epidemiological disease containment and has taken a toll on the healthcare management chain. As the risk of infection for other patients and personnel must be kept to a minimum, the indications for imaging have to be carefully considered. Imaging is primarily performed in patients with a negative RT-PCR, but a high clinical suspicion of COVID-19, or, in patients with diagnosed COVID-19 who are suffering from moderate to severe symptoms. In this article, we review the typical imaging findings in COVID-19, the differential diagnoses, and common complications. 2. Role of imaging in the diagnosis of COVID-19 pneumonia Imaging indications for the diagnosis and follow-up of patients with

We aimed to interpret MR mammography (MRM) using the Kaiser scores for equivocal or inconclusive lesions on mammography (MG). Methods: Retrospective IRB-approved evaluation of 3623 MG for which MRM was deployed as a problem-solving tool, after inclusion-exclusion criteria were met. Three readers with different levels of experience assigned a final score from 1 to 11 based on the previously established tree classification system. Area under the curve (AUC) derived from receiver operating characteristic (ROC) analysis was used to determine the overall diagnostic performance for all lesions and separately for mass and non-mass enhancement. Sensitivity, specificity, and likelihood ratio values were obtained at different cut-off values of >4, > 5, and > 8 to rule in and rule out malignancy. Result: Histopathology of 183 mass and 133 non-mass enhancement (NME) lesions show benign etiology in 95 and malignant in 221. The AUC was 0.796 [0.851 for mass and 0.715 for NME]. Applying the Kaiser score upgraded 202 lesions with correct prediction in 77 %, and downgraded 28 lesions with correct prediction in 60.8 %. Using a score <5 instead of <4 to rule out malignancy improved our diagnostic ability to correctly identify 100 % benign lesions. Applying Kaiser score correctly downgraded 60.8 % (17/28) lesions; thus avoiding biopsies in these. Using a high cut-off value>8 to rule-in malignancy, we correctly identified 59.7 % of lesions with 80 % specificity and positive likelihood ratio of 3. Conclusion:The Kaiser score has clinical translation benefits when used as a problem-solving tool for inconclusive MG findings.

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Aim:The aim of this study is to determine the incidence of T790M mutations after progression on epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) and median duration on TKI before progression on TKI.Methods:Records of Rajiv Gandhi Cancer Institute and Research Centre, of patients who were diagnosed with metastatic adenocarcinoma of the lung and progressed on oral EGFR TKIs and underwent T790M mutation analysis in the last 6 months were retrospectively reviewed. The incidence of T790M positivity, sites of progression, and median duration of TKI treatment before progression was calculated.Results:Among 31 patients, 10 patients have undergone rebiopsy, and 24 patients had undergone liquid biopsy by Droplet Digital polymerase chain reaction (ddPCR), and three patients had undergone both tests. Among all, the rate of T790M positivity was 54.8%. Among these 17 patients positive for T790M, seven patients were positive by biopsy, and 11 patients were positive by ddPCR. Among three patients who underwent both, one was positive by both. The most common site of progression among all patients is pleura, and 10% of patients progressed in brain post-TKI. Median progression-free survival on TKI before progression is 289.7 days, highest being 1290 days, and lowest 45 days.Conclusions:Exact incidence of T790M mutations after progression on TKI s in Asian population is not exactly known and requires large data, as incidence may be different than reported in the Western population. Rebiopsy and ddPCR help to determine the most common type of resistance after progression on TKI, for which effective targeted therapy is available.

Objectives: To explore the potential of Radiomics alone and in combination with a diffusion-weighted derived quantitative parameter, namely the apparent diffusion co-efficient (ADC), using supervised classification algorithms in the prediction of outcomes and prognosis. Materials and Methods: Retrospective evaluation of the imaging was conducted for a study cohort of uterine cervical cancer, candidates for radical treatment with chemo radiation. ADC values were calculated from the darkest part of the tumor, both before (labeled preADC) and post treatment (labeled postADC) with chemo radiation. Post extraction of 851 Radiomics features and feature selection analysis—by taking the union of the features that had Pearson correlation >0.35 for recurrence, >0.49 for lymph node and >0.40 for metastasis—was performed to predict clinical outcomes. Results: The study enrolled 52 patients who presented with variable FIGO stages in the age range of 28–79 (Median = 53 years) with a median follow-up of 26.5 months (range: 7–76 months). Disease recurrence occurred in 12 patients (23%). Metastasis occurred in 15 patients (28%). A model generated with 24 radiomics features and preADC using a monotone multi-layer perceptron neural network to predict the recurrence yields an AUC of 0.80 and a Kappa value of 0.55 and shows that the addition of radiomics features to ADC values improves the statistical metrics by approximately 40% for AUC and approximately 223% for Kappa. Similarly, the neural network model for prediction of metastasis returns an AUC value of 0.84 and a Kappa value of 0.65, thus exceeding performance expectations by approximately 25% for AUC and approximately 140% for Kappa. There was a significant input of GLSZM features (SALGLE and LGLZE) and GLDM features (SDLGLE and DE) in correlation with clinical outcomes of recurrence and metastasis. Conclusions: The study is an effort to bridge the unmet need of translational predictive biomarkers in the stratification of uterine cervical cancer patients based on prognosis.

Switch/Sucrose non-fermenter (SWI/SNF) multiprotein complex is an ATP-dependent chromatin remodeling factor. One important and core constituent of this multiprotein complex is the brahma related gene 1 (BRG1) protein encoded by the SMAR-CA4 gene. The SMARCA4/BRG1 protein hydrolyzes ATP and provides energy for unspooling DNA from the histone octamer, allowing transcription to proceed [1-3]. The chromatin remodeling complex also plays an essential role in maintenance of stemness [4]. The pathogenesis and dedifferentiation of neoplasms in various organs are linked increasingly to chromatin remodeling by the SWI/SNF complex [5][6][7].SMARCA4-inactivating mutations and consequent loss of functional SMARCA4/BRG1 protein are observed in many tu-mor types [6][7][8] and are observed in 8.43% of non-small cell lung cancers (NSCLC) [9-12]. Furthermore, SMARCA4/BRG1 protein-deficient thoracic sarcoma (SD-TS) is also recognized more frequently, primarily due to rising awareness of its existence [13][14][15]. There is uncertainty as to whether the histogenesis of SD-TS represents undifferentiated/dedifferentiated carcinomas or de novo genesis [16,17]. Overlapping histomorphology of SMARCA4/BRG1 protein-deficient lung adenocarcinoma (SD-LUAD), SD-TS, and other lung adenocarcinomas necessitates more exhaustive immunophenotyping than allowed with the current diagnostic pathway for small lung biopsy [18]. SMAR-CA4/BRG1 protein-deficient thoracic tumors (SD-TT) constitute a significant percentage of thoracic malignancies with rea-

We aimed to use quantitative values derived from perfusion and diffusion-weighted MR imaging (PWI and DWI) to differentiate radiation-induced necrosis (RIN) from tumor recurrence in Glioblastoma (GBM) and investigate the best parameters for improved diagnostic accuracy and clinical decision-making. Methods: A retrospective analysis of follow-up MRI with new enhancing observations was performed in histopathologically confirmed subjects of post-treated GBM, who underwent re-surgical exploration. Quantitative estimation of rCBV (relative cerebral blood volume) from PWI and three methods of apparent diffusion coefficient (ADC) estimation were performed, namely ADC R1 (whole cross-sectional area of tumor), ADC R2 (only solid enhancing lesion), and ADC R3 (central necrosis). ROC curve and logistic regression analysis was completed. A confusion matrix table created using Excel provided the best combination parameters to ameliorate false-positive and false-negative results. Results: Forty-four subjects with a mean age of 46 years (range, 19–70 years) underwent re-surgical exploration with RIN in 28 (67%) and recurrent tumor in 16 (33%) on histopathology. rCBV threshold of >3.4 had the best diagnostic accuracy (AUC = 0.93, 81% sensitivity and 89% specificity). A multiple logistic regression model showed significant contributions from rCBV (p < 0.001) and ADC R3 (p = 0.001). After analysis of confusion matrix ADC R3 > 2032 x 10-6 mm2 achieved 100% specificity with gain in sensitivity (94% vs. 56%). Conclusions: A combination of parameters had better diagnostic performance, and a stepwise combination of rCBV and ADC R3 obviated unnecessary biopsies in 10% (3/28), leading to improved clinical decision-making.

Human epidermal growth factor receptor 2 (HER-2) is an established prognostic and predictive biomarker for breast cancer. To ensure accuracy and uniformity for HER-2 testing, ASCO/CAP published guidelines in 2007 which were updated in 2013 and recently in 2018. In this first study from Indian Oncology center, we evaluated the impact of 2018 ASCO/CAP guidelines. We found a substantial decrease in equivocal IHC cases (P-value < .00001). On reclassification, a total of 5.6% cases from equivocal and positive categories (2013 guidelines) shifted to the negative FISH result category (P-value < .0001), with adoption of 2018 guidelines and eliminated the double equivocal cases.