Publications by authors named "D Blakaj"

Delivery of radiotherapy (RT) at ultra-high dose rates or FLASH radiotherapy (FLASH-RT) is an emerging treatment option for patients with cancer that could increase survival outcomes and quality of life. In vivo data across a multitude of normal tissues and associated tumors have been published demonstrating the FLASH effect while bringing attention to the need for additional research. Combination of FLASH-RT with other treatment options including spatially fractionated RT, immunotherapy, and usage in the setting of reirradiation could also provide additional benefit.

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A rapid review of 21 studies into 20 unique digital health tools found significant benefits to utilizing the following 4 categories of tools: (1) educational videos increased patient knowledge of radiotherapy (RT) and reduced treatment-related anxiety; (2) extended reality tools improved patient understanding of RT and reduced anxiety, with virtual reality coaching enhancing tumor motion reproducibility during CT simulation; (3) digital patient engagement tools helped patients manage treatment symptoms, increased health literacy, and improved quality of life; (4) an electronic feedback form decreased patient anxiety and increased RT knowledge. Most interventions were single-use and implemented before the start of RT.

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Background: Induction chemotherapy (IC) followed by chemoradiation (CRT) is one treatment approach for patients with locoregionally advanced oropharyngeal squamous cell carcinoma (OPSCC) associated with human papillomavirus (HPV). This pilot study aimed to assess whether a circulating tumor (ct) DNA assay outperforms PET-CT in assessing treatment response in patients with HPV + OPSCC treated with induction chemotherapy (IC) followed by chemoradiation (CRT).

Materials And Methods: Patients treated with IC and definitive CRT for HPV + OPSCC were included.

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This review explores the applications of artificial intelligence and machine learning (AI/ML) in radiation oncology, focusing on computer vision (CV) and natural language processing (NLP) techniques. We examined CV-based AI/ML in digital pathology and radiomics, highlighting the prospective clinical studies demonstrating their utility. We also reviewed NLP-based AI/ML applications in clinical documentation analysis, knowledge assessment, and quality assurance.

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Purpose: Cumulative cisplatin doses of ≥ 200 mg/m improve survival in adults with head-and-neck squamous cell carcinoma (HNSCC) undergoing chemoradiation, but many older adults with HNSCC cannot receive this prognostically relevant dose due to toxicities. This study aims to develop predictive models to assess the likelihood of older adults with HNSCC receiving ≥ 200 mg/m cisplatin during chemoradiation.

Methods: 366 patients from the SENIOR database, an international cohort of adults ≥ 65 years with HNSCC, received definitive chemoradiation with single-agent cisplatin and were analyzed.

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