42 research outputs found

    Evaluation of Radiomics to Predict the Accuracy of Markerless Motion Tracking of Lung Tumors: A Preliminary Study

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    Template-based matching algorithms are currently being considered for markerless motion tracking of lung tumors. These algorithms use tumor templates derived from the planning CT scan, and track the motion of the tumor on single energy fluoroscopic images obtained at the time of treatment. In cases where bone may obstruct the view of the tumor, dual energy fluoroscopy may be used to enhance soft tissue contrast. The goal of this study is to predict which tumors will have a high degree of accuracy for markerless motion tracking based on radiomic features obtained from the planning CT scan, using peak-to-sidelobe ratio (PSR) as a surrogate of tracking accuracy. In this study, CT imaging data of 8 lung cancer patients were obtained and analyzed through the open source IBEX program to generate 2,287 radiomic features. Agglomerative hierarchical clustering was used to narrow down these features into 145 clusters comprised of the highest correlation to PSR. The features among the clusters with the least inter-correlation were then chosen to limit redundancy in the data. The results of this study demonstrated a number of radiomic features that are positively correlated to PSR. The features with the highest degree of correlation included complexity, orientation and range. This approach may be used to determine patients for whom markerless motion tracking would be beneficial

    American Brachytherapy Task Group Report: Adjuvant vaginal brachytherapy for early-stage endometrial cancer: A comprehensive review

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    This article aims to review the risk stratification of endometrial cancer, treatment rationale, outcomes, treatment planning, and treatment recommendations of vaginal brachytherapy (VBT) in the post-operative management of endometrial cancer patients. The authors performed a thorough review of the literature and reference pertinent articles pertaining to the aims of this review. Adjuvant VBT for early stage endometrial cancer patients results in very low rates of vaginal recurrence (0–3.1%) with low rates of late toxicity which are primarily vaginal in nature. PORTEC-2 supports that VBT results in non-inferior rates of vaginal recurrence compared to external beam radiotherapy (EBRT) for the treatment of high-intermediate risk patients. VBT as a boost following EBRT, in combination with chemotherapy, and for high-risk histologies have shown excellent results as well though randomized data do not exist supporting VBT boost. There are many different applicators, dose-fractionation schedules, and treatment planning techniques which all result in favorable clinical outcomes and low rates of toxicity. Recommendations have been published by the American Brachytherapy Society and the American Society of Radiation Oncology to help guide practitioners in the use of VBT. Data support that patients and physicians both prefer joint decision-making regarding the use of VBT, and patients often desire additional treatment for a marginal benefit in risk of recurrence. Discussions regarding adjuvant therapy for endometrial cancer are best performed in a multi-disciplinary setting and patients should be counseled properly regarding the risks and benefits of adjuvant therapy

    Advanced small cell carcinoma of the cervix – Successful treatment with concurrent etoposide and cisplatin chemotherapy and extended field radiation: A case report and discussion

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    The purpose of this article is to present a case of successful treatment of a patient with stage IVB small cell carcinoma of the cervix (SCCC) who was treated with concurrent chemoradiotherapy (CCRT) consisting of etoposide/cisplatin (EP) chemotherapy, external beam radiation therapy (EBRT), and brachytherapy. The patient has since remained without evidence of disease for nearly six years. This report reviews and summarizes the existing case literature on SCCC

    Data from: Nonadditive indirect effects of group genetic diversity on larval viability in Drosophila melanogaster imply key role of maternal decision-making

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    Genetic variation can have important consequences for populations: high population genetic diversity is typically associated with ecological success. Some mechanisms that account for these benefits assume that local social groups with high genetic diversity are more successful than low-diversity groups. At the same time, active decision-making by individuals can influence group genetic diversity, a behavioral process not generally incorporated into discussions of population-level diversity effects. Here, we examine how maternal decisions that determine group genetic diversity influence the viability of Drosophila melanogaster larvae. Our groups contained wildtype larvae, whose genetic diversity we manipulated; and genetically-marked “tester” larvae, whose genotype and frequency were identical in all trials. We measured wildtype and tester viability for each group. Surprisingly, the viability of wildtype larvae did not depend on group genetic diversity. However, the viability of the tester genotype was substantially depressed in large, high-diversity groups. Further, not all high-diversity groups produced this effect: certain combinations of wildtype genotypes were deleterious to tester viability, while other groups of the same diversity—but containing different wildtype genotypes—were not deleterious. These deleterious combinations of wildtype genotypes could not be predicted by observing the performance of the same tester and wildtype genotypes in low-diversity groups. Taken together, these results suggest that non-additive interactions among genotypes, rather than genetic diversity per se, account for between-group differences in viability in D. melanogaster; and that predicting the consequences of genetic diversity at the population level may not be straightforward
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