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Clinicopathological and prognostic factor analyses of primary fallopian tube carcinoma and high-grade serous ovarian cancer: a single-institution retrospective study.
World J Surg Oncol
January 2025
Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China.
Objective: This study aimed to evaluate and compare the clinicopathologic features of primary fallopian tubal carcinoma (PFTC) and high-grade serous ovarian cancer (HGSOC) and explore the prognostic factors of these two malignant tumors.
Methods: Fifty-seven patients diagnosed with PFTC from 2006 to 2015 and 60 patients diagnosed with HGSOC from 2014 to 2015 with complete prognostic information were identified at Women's Hospital of Zhejiang University. The clinicopathological and surgical data were collected, and the survival of the patients was followed for 5 years after surgery.
Surveillance of drug prescribing: why outliers miss their targets - a qualitative study.
BMC Health Serv Res
January 2025
Institute of General Practice/Family Medicine, Philipps-University of Marburg, Karl-Von-Frisch-Straße 4, 35043, Marburg, Germany.
Background: Rising costs are a challenge for healthcare systems. To keep expenditure for drugs under control, in many healthcare systems, drug prescribing is continuously monitored. The Bavarian Drug Agreement (German: Wirkstoffvereinbarung or WSV) for the ambulatory sector in Bavaria (the federal state of Germany) was developed for this purpose.
View Article and Find Full Text PDFA prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecessary SLNBs in patients with cutaneous melanoma.
World J Surg Oncol
January 2025
Summit Medical Group, Bend, OR, USA.
Background: National Comprehensive Cancer Network guidelines recommend sentinel lymph node biopsy (SLNB) for patients with > 10% risk of positivity, consider SLNB with 5-10% risk, and foregoing with < 5% risk. The integrated 31-gene expression profile (i31-GEP) algorithm combines the 31-GEP with clinicopathologic variables, estimating SLN positivity risk.
Methods: The i31-GEP SLNB risk prediction accuracy was assessed in patients with T1-T2 tumors enrolled in the prospective, multicenter DECIDE study (n = 322).
Built environment change for injury prevention: insights from public health professionals across public health units in Ontario, Canada.
BMC Public Health
January 2025
Chronic Disease and Injury Prevention, Public Health Ontario, 480 University Avenue, Toronto, Ontario, M5G 1V2, Canada.
Background: Road-related injuries and deaths are among the most significant and avoidable public health problems in Canada. Modifications to the built environment (BE) can reduce injury rates for vulnerable road users (VRUs) and other priority populations who experience disproportionate risk. This paper highlights public health professionals' experiences working in injury prevention across Ontario public health units (PHUs) navigating barriers and facilitators to BE change.
View Article and Find Full Text PDFAn Automatic Deep-Radiomics Framework for Prostate Cancer Diagnosis and Stratification in Patients with Serum Prostate-Specific Antigen of 4.0-10.0 ng/mL: A Multicenter Retrospective Study.
Acad Radiol
January 2025
Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China (B.Z., F.M., X.S., S.L., Q.W.); Department of Urology, Guangdong Provincial People's Hospital, Southern Medical University, Guangzhou, Guangdong 510080, China (Q.W.). Electronic address:
Rationale And Objectives: To develop an automatic deep-radiomics framework that diagnoses and stratifies prostate cancer in patients with prostate-specific antigen (PSA) levels between 4 and 10 ng/mL.
Materials And Methods: A total of 1124 patients with histological results and PSA levels between 4 and 10 ng/mL were enrolled from one public dataset and two local institutions. An nnUNet was trained for prostate masks, and a feature extraction module identified suspicious lesion masks.
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