Relevant bibliographies by topics / Clinical assessment Diagnosis Imaging Morphometric analysis Radiology

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Academic literature on the topic 'Clinical assessment Diagnosis Imaging Morphometric analysis Radiology'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Clinical assessment Diagnosis Imaging Morphometric analysis Radiology"

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Badawi, Sufian A., Maen Takruri, Mohammad Al-Hattab, et al. "Arteriovenous Length Ratio: A Novel Method for Evaluating Retinal Vasculature Morphology and Its Diagnostic Potential in Eye-Related Diseases." Journal of Imaging 9, no. 11 (2023): 253. http://dx.doi.org/10.3390/jimaging9110253.

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Retinal imaging is a non-invasive technique used to scan the back of the eye, enabling the extraction of potential biomarkers like the artery and vein ratio (AVR). This ratio is known for its association with various diseases, such as hypertensive retinopathy (HR) or diabetic retinopathy, and is crucial in assessing retinal health. HR refers to the morphological changes in retinal vessels caused by persistent high blood pressure. Timely identification of these alterations is crucial for preventing blindness and reducing the risk of stroke-related fatalities. The main objective of this paper is
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Al-Ani, O., P.. Nambiar, K. O. Ha, and W. C. Ngeow. "Safe zone for bone harvesting from the interforaminal region of the mandible." CLINICAL ORAL IMPLANTS RESEARCH 24, A100 (2014): 115–21. https://doi.org/10.1111/j.1600-0501.2011.02393.x.

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Aims: The mandibular incisive nerve can be subjected to iatrogenic injury during bone graft harvesting. Using cone beam computed tomography (CBCT), this study aims to determine a safe zone for bone graft harvesting that avoids injuring this nerve. Methods: Sixty CBCT examinations of patients were included in this study. The examinations were taken using the i-CAT CBCT imaging system, applying a standardized exposure protocol. Image reconstruction from the raw data was performed using the SimPlant dental implant software. The distances of mandibular incisive canal (MIC) to the inferior border a
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Urbizu, Aintzane, Maria-Antonia Poca, Xavier Vidal, Alex Rovira, Juan Sahuquillo, and Alfons Macaya. "MRI-based Morphometric Analysis of Posterior Cranial Fossa in the Diagnosis of Chiari Malformation Type I." Journal of Neuroimaging 24, no. 3 (2013): 250–56. http://dx.doi.org/10.1111/jon.12007.

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Barioni, Elaine Dinardi, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, and Andre Luiz Ferreira Costa. "Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions." Journal of Imaging 10, no. 11 (2024): 263. http://dx.doi.org/10.3390/jimaging10110263.

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This narrative review explores texture analysis as a valuable technique in dentomaxillofacial diagnosis, providing an advanced method for quantification and characterization of different image modalities. The traditional imaging techniques rely primarily on visual assessment, which may overlook subtle variations in tissue structure. In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. This process identifies unique “texture signatures
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Moura Cunha, Guilherme, Patrick J. Navin, Kathryn J. Fowler, Sudhakar K. Venkatesh, Richard L. Ehman, and Claude B. Sirlin. "Quantitative magnetic resonance imaging for chronic liver disease." British Journal of Radiology 94, no. 1121 (2021): 20201377. http://dx.doi.org/10.1259/bjr.20201377.

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Chronic liver disease (CLD) has rapidly increased in prevalence over the past two decades, resulting in significant morbidity and mortality worldwide. Historically, the clinical gold standard for diagnosis, assessment of severity, and longitudinal monitoring of CLD has been liver biopsy with histological analysis, but this approach has limitations that may make it suboptimal for clinical and research settings. Magnetic resonance (MR)-based biomarkers can overcome the limitations by allowing accurate, precise, and quantitative assessment of key components of CLD without the risk of invasive pro
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A, Macrae, Dyson A, and Mason D. "A-032 The Relative Contribution of Neuropsychological Assessment and Radiological Scans to Diagnostic Accuracy in Young Onset Dementia." Archives of Clinical Neuropsychology 35, no. 6 (2020): 822. http://dx.doi.org/10.1093/arclin/acaa068.032.

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Abstract Objective Younger-onset dementias (YOD) are relatively rare neurodegenerative disorders that often present unique diagnostic challenges to health professionals. These difficulties often result in significant delays to diagnosis and uncertainty in clarifying the aetiology of a client’s presenting problems. In this audit of routine clinical practice, we evaluate the utility of radiological scan reports (Magnetic Resonance Imaging (MRI), Single Photo Emission Computed Tomography (SPECT) and Computerised Tomography (CT) with neuropsychological assessment, and retrospectively evaluate the
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Debnam, J. Matthew, Leena Ketonen, Leena M. Hamberg, and George J. Hunter. "Current Techniques Used for the Radiologic Assessment of Intracranial Neoplasms." Archives of Pathology & Laboratory Medicine 131, no. 2 (2007): 252–60. http://dx.doi.org/10.5858/2007-131-252-ctuftr.

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Abstract Context.—Radiologic studies are obtained for diagnostic and treatment planning purposes in the evaluation of patients with intracranial neoplasms. These studies are discussed at radiology/pathology working conferences and are often beneficial in the analysis of pathologic specimens for tissue diagnosis. Therefore, clinical pathologists should be aware of the current and evolving imaging techniques that are used in the radiologic assessment of intracranial neoplasms. Objective.—To describe the imaging techniques used in the assessment of intracranial neoplasms and provide current refer
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Chauvie, Stephane, Lorenzo Nicola Mazzoni, and Jim O’Doherty. "A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation." Tomography 9, no. 5 (2023): 1876–902. http://dx.doi.org/10.3390/tomography9050149.

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Imaging biomarkers (IBs) have been proposed in medical literature that exploit images in a quantitative way, going beyond the visual assessment by an imaging physician. These IBs can be used in the diagnosis, prognosis, and response assessment of several pathologies and are very often used for patient management pathways. In this respect, IBs to be used in clinical practice and clinical trials have a requirement to be precise, accurate, and reproducible. Due to limitations in imaging technology, an error can be associated with their value when considering the entire imaging chain, from data ac
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Savchenkov, Yu N., G. E. Trufanov, V. A. Fokin, et al. "Methods of radiology in the diagnostics of chronic liver diseases." Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH) 14, no. 2 (2024): 111–22. http://dx.doi.org/10.20340/vmi-rvz.2024.2.mim.1.

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Background. Chronic liver disease is one of the most common diseases. In many countries, liver disease is among the top five causes of death. The liver is one of the main organs responsible for basic metabolic functions, protein and hormone synthesis, detoxification and waste elimination. In chronic liver disease, there is a continuous process of inflammation, destruction and regeneration, ultimately leading to severe dysfunction, causing the development of fibrosis and cirrhosis. The main task of the radiation diagnosis of chronic liver disease is the development and introduction into clinica
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Zhang, Yamin, Jianping Wang, Yi Zhang, Lujun Wang, and Jia Wei. "Characteristics Scanning of Brain Structure and Function Changes in Patients with Different Degrees of Alzheimer’s Disease." Contrast Media & Molecular Imaging 2022 (September 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/5238941.

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Through the case control study on structural magnetic resonance imaging (sMRI) scanning, MR spectrum (MRS), and neuropsychological assessment of the intracranial structures of Alzheimer’s disease (AD), patients of different degrees (early, middle, and late), the early clinical features, imaging features, and neuropsychological characteristics of patients with AD were analyzed to provide help for the early diagnosis of AD. The data of MR scanning of the brain, bilateral MRS scan of the hippocampus, thyroid function and other laboratory indicators, and neuropsychological evaluation analysis were
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Book chapters on the topic "Clinical assessment Diagnosis Imaging Morphometric analysis Radiology"

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Bearcroft, Philip. "The Diagnosis of Soft Tissue Disorders: Radiology." In Oxford Medical Publications Soft Tissue Rheumatology. Oxford University PressNew York, NY, 2004. http://dx.doi.org/10.1093/oso/9780192630933.003.0012.

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Abstract A variety of radiological techniques is available for the assessment of soft tissue pathology. Each has certain strengths and advantages that must be seen in the context of the corresponding weaknesses and disadvantages. In the current chapter, each radiological technique will be considered in turn. The technical aspects will be outlined, together with the associated strengths and weaknesses and the specific clinical uses for which the technique is best suited. In the final section, two fundamental principles of imaging will be described. The first is an understanding of the potential
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Raj, Sundeep, Arun Prakash Agarwal, Sandesh Tripathi, and Nidhi Gupta. "Prediction and Analysis of Digital Health Records, Geonomics, and Radiology Using Machine Learning." In Prediction in Medicine: The Impact of Machine Learning on Healthcare. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815305128124010005.

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Building different machine learning algorithms and their potential applications to enhance healthcare systems is very important. AI has countless uses in healthcare, including the analysis of medical data, early disease diagnosis and detection, evidence-based objectives to minimize human error, reducing errors between and among observers, risk identification and interventions for healthcare management, health monitoring in real-time, helping patients and clinicians choose the right medication, and assessing drug responses. Machine learning techniques have transformed many facets of healthcare,
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