This paper investigates the validity of the null hypothesis: there are no structural differences between the brains of schizophrenic and normal control subjects that manifest themselves in MRI-T(2) data and distinguish the two populations in a statistically significant way. The data used refer to 21 schizophrenic patients and 19 normal controls, matched for age, sex and social background. The methodology used is based on three-dimensional texture analysis, which is used to quantify anisotropy in the data at scales of the order of a few millimetres. These data reject the null hypothesis. In addition, this article attempts to identify the regions of the brain that are responsible for the morphological characteristics that distinguish the two populations. For this purpose, it utilises a second texture analysis method that, in spite of being a global method, allows one to trace back to the data the origin of the features that most distinctly distinguish the two populations. This method indicates that the features that distinguish the two populations with P values smaller than 10(-6) are located in the most inferior part of the brain and in particular in the tissue that makes up the sulci. It is stressed that in order to preserve the integrity of the data for texture calculations, no registration of anatomical structures is performed, and the most inferior part of the brain is identified as referring to those slices of the scans that visually correspond to slices 1-12 of the Talairach and Tournoux brain atlas.
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http://dx.doi.org/10.1016/s0925-4927(03)00070-2 | DOI Listing |
Amyotroph Lateral Scler Frontotemporal Degener
January 2025
Stan Cassidy Centre for Rehabilitation, Fredericton, New Brunswick, Canada.
Objective: Previous studies have hinted at an association between water exposure and the development of ALS. However, proximity measures to these water sources have been limited to questionnaires or large buffers due to a lack of fine geospatial measures. They also do not distinguish the various classes of hydrographic features.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
Radiology Sciences Department, College of Medical Sciences, Najran University, Najran, Saudi Arabia.
Background: This paper aimed to enhance the diagnostic process of lung abnormalities in computed tomography (CT) images, particularly in distinguishing cancer cells from normal chest tissue. The rapid and uneven growth of cancer cells, presenting with variable symptoms, necessitates an advanced approach for accurate identification.
Objective: To develop a dual-sampling network targeting lung infection regions to address the diagnostic challenge.
Ann Med
December 2025
Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
Objective: To evaluate the predictive value of pathological response and lymph node status on progression-free survival (PFS) in patients with potentially resectable non-small cell lung cancer (NSCLC) receiving neoadjuvant immunotherapy.
Methods: A retrospective analysis was conducted on 143 patients with potentially resectable NSCLC who underwent neoadjuvant immunotherapy followed by surgical resection. Pathological response, lymph node involvement, and clinical outcomes were comprehensively assessed using Kaplan-Meier analysis and Cox regression.
Prostate
January 2025
Wren Laboratories, Branford, Connecticut, USA.
Introduction: Prostate cancer (PCa) is the most commonly diagnosed cancer in men in the United States, following skin cancer, with an incidence rate of 112.7 per 100,000 men per year. The need for a reliable, non-invasive diagnostic tool for early PCa detection (screening, biochemical residual disease) remains unmet due to the limitations of PSA testing, which often leads to overdiagnosis and overtreatment.
View Article and Find Full Text PDFBMC Med
January 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
Background: The co-occurrence of diabetes and mental disorders is an exceedingly common comorbidity with poor prognosis. We aim to investigate the impact of green space, garden space, and the natural environment on the risk of mental disorders among the population living with diabetes.
Methods: We performed a longitudinal analysis based on 39,397 participants with diabetes from the UK Biobank.
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