The National Center Biobank Network (NCBN), consisting of six national centers (NCs) for advanced and specialized medical care, was launched in Japan in 2012 to collect biological specimens and health-related data. The common data formats of the six NCs, however, are not widely known outside the NCs. Therefore, we investigated whether the data elements collected by the NCBN could be made to conform to the international standards of the Clinical Data Interchange Standards Consortium (CDISC). We attempted to map the NCBN data elements (202 items) onto the Study Data Tabulation Model (SDTM), a set of CDISC standards on the submission format of electronic clinical data approved by the Food and Drug Administration. The results showed that all 202 items of the NCBN data could be mapped onto the SDTM and fulfilled 50%-70% of the required items of each domain specified in the SDTM. We concluded that, while the standardization of biobank data according to the CDISC standards is possible, there is a need to consider whether additional items must be included in the NCBN and to have experts familiar with the CDISC standards review the standardization needs.
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http://dx.doi.org/10.1089/bio.2015.0051 | DOI Listing |
J Surg Res
January 2025
Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri.
Background: Radioactive iodine (RAI) is a common treatment for various thyroid diseases. Previous studies have suggested susceptibility of parathyroid glands to the mutagenic effect of RAI and the development of primary hyperparathyroidism (PHPT). We tested the possible link between prior RAI treatment, disease presentation, and treatment outcomes.
View Article and Find Full Text PDFClin Radiol
December 2024
Department of Neurology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address:
Aim: To provide a theoretical basis for the study of the pathogenesis of residual dizziness (RD) from the perspective of imaging.
Materials And Methods: The general clinical data of the RD group and healthy control (HC) group were statistically analysed by two independent sample t tests, rank sum tests or chi-square tests. The imaging data of the two groups of people were preprocessed and statistically analysed by using the data processing and analysis for brain imaging (DPABI) software package.
Cancer Treat Rev
January 2025
Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. Electronic address:
Importance: Endocrine treatments, such as Tamoxifen (TAM) and/or Aromatase inhibitors (AI), are the adjuvant therapy of choice for hormone-receptor positive breast cancer. These agents are associated with menopausal symptoms, adversely affecting drug compliance. Topical estrogen (TE) has been proposed for symptom management, given its' local application and presumed reduced bioavailability, however its oncological safety remains uncertain.
View Article and Find Full Text PDFInt J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
Clin Oncol (R Coll Radiol)
December 2024
Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000, Antwerp, Belgium; Department of Radiation Oncology, Iridium Netwerk, Oosterveldlaan 22, 2610, Antwerp, Belgium. Electronic address:
Aim: Tumour-infiltrating lymphocytes (TILs) represent a promising cancer biomarker. Different TILs, including CD8+, CD4+, CD3+, and FOXP3+, have been associated with clinical outcomes. However, data are lacking regarding the value of TILs for patients receiving radiation therapy (RT).
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