Introduction: The aim of this study was to evaluate the impact of positron emission tomography/computerised tomography (PET/CT) as an adjunct to conventional imaging (CI) in the management of nasopharyngeal cancer (NPC) both for initial staging and assessment of post-treatment response.
Methods: All NPC cases referred to the Peter MacCallum Centre for Metabolic Imaging between January 2002 and December 2007 were identified. In patients undergoing initial staging, any differences between the pre-PET/CT management plan based on CI and that following performance of the PET/CT scan were noted. Clinical impact was scored using the Centre's published criteria: 'high' if PET/CT changed the primary treatment modality or intent, 'medium' if treatment modality was unchanged but the radiotherapy technique or dose was altered, and 'low' if there was no change in treatment modality or intent. Patients undergoing PET/CT following definitive treatment were scored according to whether or not they achieved a complete metabolic response.
Results: Forty-eight patients underwent a staging PET/CT. The clinical impact was high in 8%, medium in 25% and low in 66% of patients. Twenty-one patients were scanned for post-treatment response. PET/CT was less frequently equivocal than MRI (3 vs 8/21). A complete metabolic response on PET/CT was associated with a 93% negative predictive value for subsequent recurrence.
Conclusion: PET/CT is a valuable staging tool for the detection of occult metastatic disease and defining the extent of neck nodal disease. Post-treatment, a complete metabolic response on PET/CT has a very high negative predictive value with fewer equivocal results than MRI.
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http://dx.doi.org/10.1111/j.1754-9485.2011.02252.x | DOI Listing |
Cancer continues to represent a substantial burden in terms of its morbidity and mortality, underscoring the imperative for the development of novel and efficacious treatment modalities. Recent advances in cancer immunotherapy have highlighted the importance of identifying tumour-specific antigens, which can assist the immune system in targeting malignant cells effectively. Phage display technology has emerged as an effective tool for the discovery of novel antigens through cDNA library screening, representing a significant advancement in the field of immunological research.
View Article and Find Full Text PDFCombining radiotherapy with targeted therapy benefits patients with advanced epidermal growth factor receptor-mutated non-small cell lung cancer (EGFRm NSCLC). However, the optimal strategy to combine EGFR tyrosine kinase inhibitors (TKIs) with radiotherapy for maximum efficacy and minimal toxicity is still uncertain. Notably, EVs, which serve as communication mediators among tumor cells, play a crucial role in the anti-tumor immune response.
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Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Breast cancer is a significant cause of death from cancer in women globally, highlighting the need for improved diagnostic imaging to enhance patient outcomes. Accurate tumor identification is essential for diagnosis, treatment, and monitoring, emphasizing the importance of advanced imaging technologies that provide detailed views of tumor characteristics and disease. Recently, a new imaging modality named synthetic correlated diffusion imaging (CDI) has been showing promise for enhanced prostate cancer delineation when compared to existing MRI imaging modalities.
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Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Jeollanam-do, Republic of Korea.
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various diseases; however, challenges persist regarding image quality and accessibility during NMI-based treatment. This paper reviews the use of deep learning methods for generating synthetic nuclear medicine images, aimed at improving the interpretability and utility of nuclear medicine protocols. We discuss advanced image generation algorithms designed to recover details from low-dose scans, uncover information hidden by specific radiopharmaceutical properties, and enhance the sensing of physiological processes.
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December 2024
Department of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste, Italy.
Swimmer's shoulder is a common condition among elite swimmers, often leading to pain and reduced performance. Fatigue can exacerbate this condition by affecting shoulder strength, proprioception, and range of motion, potentially increasing the risk of overuse injuries. This preliminary study aimed to evaluate the impact of physiotherapy treatment and the effects of fatigue on shoulder kinematics using inertial and magnetic measurement units (IMUs).
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