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Background: To analyze the effects of the positioning of a bolt in the femoral neck system (FNS) on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures (FNFs).

Methods: This was a retrospective study involving 114 middle-aged and young adults with displaced FNFs who were surgically treated with internal fixation via the FNS in the Department of Orthopedics, Suzhou Municipal Hospital, from December 2019 to January 2023. The degree of deviation of the central axis of the femoral head and neck from the tip of the bolt (W), the tip‒apex distance (TAD) and the length of femoral neck shortening (LFNS) were measured on postoperative X-ray and computed tomography (CT) scan images.

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Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.

Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.

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Purpose: Given the potential role of nasolacrimal duct (NLD) morphometry in the aetiology of primary acquired obstructions, it is imperative that clinicians have access to detailed anatomical information. The aim of this study was to determine normative data on nasolacrimal duct morphometry in the Turkish population sample and to provide guidelines for clinicians.

Methods: The study included retrospectively computed tomography images of a healthy Turkish population sample of 151 individuals, 79 of whom were female and 72 of whom were male.

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Purpose: The positron range effect can impair PET image quality of Gallium-68 (Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for Ga was investigated on patient data.

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Cardiac MRI Evaluation of Heart Failure and Cardiomyopathies.

R I Med J (2013)

February 2025

Brown University Health Cardiovascular Institute; Rhode Island, the Miriam and Newport Hospitals; Warren Alpert Medical School, Brown University.

Cardiac magnetic resonance imaging (CMR) is an exciting noninvasive imaging modality with increasing utilization in the field of cardiovascular medicine. In conjunction with echocardiogram, computed tomography, and invasive therapies, CMR has provided exceptional capability to further evaluate complex clinical cardiac conditions. CMR provides both anatomical and physiological information of a variety of tissue types, without the need for ionizing radiation.

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