Publications by authors named "Galina Kirova-Nedyalkova"

Despite the rare incidence of idiopathic pulmonary fibrosis (IPF), coexisting IPF and lung cancer is common. Both diseases have unfavorable outcomes and are often associated with impaired quality of life. In this study, we present a clinical case of a patient with coexisting IPF and lung adenocarcinoma who was successfully treated with nintedanib plus docetaxel as a second-line treatment, and achieved a substantial improvement in the quality of life.

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This observer study investigates the effect of computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians' diagnostic accuracy in assessing bladder cancer treatment response. The performance of 17 observers was evaluated when assessing bladder cancer treatment response without and with CDSS-T using pre- and post-chemotherapy CTU scans in 123 patients having 157 pre- and post-treatment cancer pairs. The impact of cancer case difficulty, observers' clinical experience, institution affiliation, specialty, and the assessment times on the observers' diagnostic performance with and without using CDSS-T were analyzed.

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We evaluated the intraobserver variability of physicians aided by a computerized decision-support system for treatment response assessment (CDSS-T) to identify patients who show complete response to neoadjuvant chemotherapy for bladder cancer, and the effects of the intraobserver variability on physicians' assessment accuracy. A CDSS-T tool was developed that uses a combination of deep learning neural network and radiomic features from computed tomography (CT) scans to detect bladder cancers that have fully responded to neoadjuvant treatment. Pre- and postchemotherapy CT scans of 157 bladder cancers from 123 patients were collected.

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The aim of this study is to investigate the possibility of replacing the standard CTA protocol for peripheral arteries with a low dose CTA protocol without affecting the diagnostic image quality. Therefore a single centre retrospective study was conducted involving 200 exams of patients undergoing lower limb angiography. All exams were performed on a 64-row detector CT and the vascular density, muscle density, noise and radiation dose of each image were assessed.

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Article Synopsis
  • A study evaluated a computerized decision-support system (CDSS-T) to see if it could better identify patients with muscle-invasive bladder cancer who completely responded to neoadjuvant chemotherapy compared to traditional assessment methods.
  • The research involved analyzing CT scans from 123 subjects, with radiologists and oncologists estimating the likelihood of complete response before and after using the CDSS-T tool.
  • Results showed that the CDSS-T alone had a mean AUC of 0.80, improving physician performance significantly from 0.74 to 0.77, indicating it enhances the ability to identify complete responses in patients.
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Extraneural metastases are a relatively rare manifestation of the primary brain tumors, and a major part of the cases has been associated with initial medulloblastoma. Herein, we present the case of a young female adult diagnosed and operated for medulloblastoma. The patient developed extraneural metastases in the first postoperative year.

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