Publications by authors named "K Rogacki"

Article Synopsis
  • Researchers have uncovered that deoxidized SrTiO becomes metallic and superconducting at very low oxygen vacancy levels, challenging long-standing assumptions.
  • Detailed studies show that during thermal reduction, oxygen is lost at extremely low concentrations, leading to the formation of filaments along dislocation networks in the material.
  • The findings suggest a rethink of superconductivity models in self-doped SrTiO, proposing that the material behaves as a nano-composite with both insulating and metallic characteristics, facilitating polaronic coupling.
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Article Synopsis
  • Study aimed to identify factors that predict the risk of head and neck lymphedema (HNL) after radiation therapy for head and neck cancer (HNC) due to its impact on patient quality of life.
  • Researchers analyzed data from 76 patients who underwent radiation therapy, focusing on clinical, disease-related, and dosimetric factors to develop predictive models for both external and internal HNL.
  • Key findings revealed that lymph node status, specifically the number of lymph nodes removed and advanced adenopathy, were significant predictors for external lymphedema, while advanced adenopathy and specific radiation doses to the larynx were associated with internal lymphedema risk.
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Background And Purpose: The ability to determine the risk and predictors of lymphedema is vital in improving the quality of life for head and neck (HN) cancer patients. However, selecting robust features is challenging due to the multicollinearity and high dimensionality of radiotherapy (RT) data. This study aims to overcome these challenges using an ensemble feature selection technique with machine learning (ML).

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Studies to date have not resolved how diverse transcriptional programs contribute to the intratumoral heterogeneity of small cell lung carcinoma (SCLC), an aggressive tumor associated with a dismal prognosis. Here, we identify distinct and commutable transcriptional states that confer discrete functional attributes in individual SCLC tumors. We combine an integrative approach comprising the transcriptomes of 52,975 single cells, high-resolution measurement of cell state dynamics at the single-cell level, and functional and correlative studies using treatment naïve xenografts with associated clinical outcomes.

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Purpose/objectivess: We sought to determine the rate of brachial plexopathy (BPX) in patients exceeding RTOG dose constraints for treatment of apical lung tumors.

Materials/methods: Patients with apical lung tumors treated with four- or five-fraction SBRT were identified from a prospective registry. Dosimetric data were obtained for ipsilateral subclavian vein (SCV) and anatomic BP (ABP) contours.

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