Acad Radiol
Department of Diagnostic Radiology, Faculty of Medicine and Health Sciences, United Arab Emirates University, Al Ain.
Published: November 2000
Rationale And Objectives: This study determined student perceptions of the effectiveness of an integrated radiology curriculum in a 6-year undergraduate medical school program.
Materials And Methods: Student perceptions of the effectiveness of an integrated radiology curriculum were assessed with a self-administered questionnaire that was developed in house and consisted of Likert-type and open-ended items. The questionnaire was distributed to 1997-1998 and 1998-1999 cohorts of 2nd- to 6th-year medical students. Quantitative data were analyzed by using descriptive statistics.
Results: Ninety-nine of 173 students (57% response) returned completed questionnaires. Overall, students perceived integrated radiology teaching as satisfactorily achieved and useful in facilitating learning. Compared with students in the 2nd and final years of undergraduate medical education and training, those in years 3-5 considered integrated radiology teaching to be very effective. Results of the survey suggest future modifications to improve the effectiveness of integrated radiology teaching.
Conclusion: Radiology can be successfully integrated into modern medical curricula. Student comments indicate the need to structure and organize the integrated teaching better and to introduce it earlier in the medical school curriculum.
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http://dx.doi.org/10.1016/s1076-6332(00)80179-8 | DOI Listing |
Magn Reson Med
March 2025
Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA.
Purpose: To propose a two-step, nonlocal principal component analysis (PCA) method and demonstrate its utility for denoising complex diffusion MR images with a few diffusion directions.
Methods: A two-step denoising pipeline was implemented to ensure accurate patch selection even with high noise levels and was coupled with data preprocessing for g-factor normalization and phase stabilization before data denoising with a nonlocal PCA algorithm. At the heart of our proposed pipeline was the use of a data-driven optimal shrinkage algorithm to manipulate the singular values in a way that would optimally estimate the noise-free signal.
Appl Med Artif Intell (2024)
February 2025
Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Head motion is a major source of image artifacts in head computed tomography (CT), degrading the image quality and impacting diagnosis. Image-domain-based motion correction is practical for routine use since it doesn't rely on hard-to-obtain CT projection data. However, existing convolutional neural network (CNN)-based methods tend to over-smooth images, particularly in cases of moderate to severe 3D motion artifacts.
View Article and Find Full Text PDFChin J Cancer Res
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, China.
Objective: The neglect of occult lymph nodes metastasis (OLNM) is one of the pivotal causes of early non-small cell lung cancer (NSCLC) recurrence after local treatments such as stereotactic body radiotherapy (SBRT) or surgery. This study aimed to develop and validate a computed tomography (CT)-based radiomics and deep learning (DL) fusion model for predicting non-invasive OLNM.
Methods: Patients with radiologically node-negative lung adenocarcinoma from two centers were retrospectively analyzed.
Cancer Innov
April 2025
Translational Medical Center, Huaihe Hospital Henan University Kaifeng Henan China.
Background: Colorectal liver metastasis (CRLM) has a poor prognosis, and traditional prognostic models have certain limitations in clinical application. This study aims to evaluate the prognostic value of CT-based habitat analysis in CRLM patients and compare it with existing traditional prognostic models to provide more evidence for individualized treatment of CRLM patients.
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Cureus
February 2025
Anatomy, All India Institute of Medical Sciences, Madurai, Madurai, IND.
This review addresses the significant challenges and technological developments in cancer screening and early diagnosis in the context of India's diverse and resource-constrained healthcare landscape. Selected cancers like breast, cervical, oral, lung, and colorectal cancers are focused on, and established screening methods such as clinical breast examination (CBE), mammography, visual inspection with acetic acid (VIA), HPV DNA testing, and oral visual inspection (OVI) are reviewed. These are cost-effective strategies that are proven to reduce mortality.
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