Body image disturbances occur in women with borderline personality disorder (BPD). Systematic research on these characteristics in well-defined BPD groups is lacking. It is unknown, if the disturbances are related to eating disorders and childhood sexual abuse (CSA), which frequently co-occur in patients with BPD. In the present study, cognitive-affective and behavioral components of body image for 89 female patients with BPD (49 with lifetime eating disorders) and 41 healthy participants were assessed via Body Image Avoidance Questionnaire (BIAQ) and Multidimensional Body-Self Relations Questionnaire (MBSRQ). Within the BPD group, 43 patients reported a history of CSA. Compared to healthy controls, BPD patients reported significantly more negative scores in the BIAQ and the MBSRQ. Both a history of CSA and a comorbid eating disorder were independently associated with an even more negative body image. Results suggest a disturbance of cognitive-affective and behavioral components of body image in female BPD patients.
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http://dx.doi.org/10.1016/j.bodyim.2012.12.007 | DOI Listing |
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi
January 2025
The Third Orthopedic Department, the First Affiliated Hospital of Harbin Medical University, Harbin Heilongjiang, 150001, P. R. China.
Objective: To measure and analyze the relationships among the posterior tibial slope (PTS), meniscal slope (MS), and meniscus posterior horn thickness (MPHT) of the medial and lateral tibial plateau in healthy people and patients with anteromedial osteoarthritis (AMOA) in Heilongjiang province, so as to provide reference basis for appropriate tibial osteotomy and prosthesis placement angles in knee joint surgeries.
Methods: A retrospective collection of imaging data from knee joint MRI examinations conducted prior to AMOA for various reasons was performed. A total of 103 healthy individuals (healthy group) and 30 AMOA patients (AMOA group) were included.
J Gastrointest Surg
January 2025
Department of Surgery, University of Arizona, Tucson, AZ. Electronic address:
Background: Clinicians lack robust data on quality of life and social functioning after pancreatectomy limiting their ability guide patient decision-making aligned with patients' goals of care.
Methods: In this cross-sectional survey study, we administered the European Organization for Research and Treatment of Cancer Core Quality of Life questionnaire (EORTC QLQ-C30); pancreas-specific QLQ-PAN26; Patient-Reported Outcomes Measurement Information System (PROMIS™) Ability to Participate in Social Roles; and PROMIS™ Activities and social Isolation scales to all elective pancreatectomies (2021-2023). Results were compared to both normative data and between groups to determine factors predicting better QOL with a >10-12-point change considered clinically significant.
Acad Radiol
January 2025
Division of Radiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany (F.B., M.G., H.P.S., S.D.); Diagnostic and Interventional Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany (T.F.W., M.W.).
Rationale And Objectives: To establish an advanced automated bone marrow (BM) segmentation model on whole-body (WB-)MRI in monoclonal plasma cell disorders (MPCD), and to demonstrate its robust performance on multicenter datasets with severe myeloma-related pathologies.
Materials And Methods: The study cohort comprised multi-vendor, multi-protocol imaging data acquired with varying field strength across 8 different centers. In total, 210 WB-MRIs of 207 MPCD patients were included.
Br J Sports Med
January 2025
The Royal Ballet, Royal Ballet and Opera, London, UK
Med Biol Eng Comput
January 2025
Faculty of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between image quality and radiation exposure is critical, as reducing the administered dose results in a lower signal-to-noise ratio (SNR) and information loss, which may significantly affect clinical diagnosis. Deep learning (DL) algorithms have recently made significant progress in low-dose (LD) PET reconstruction.
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