Archives of Clinical and Biomedical Research
Top medRxiv preprints most likely to be published in this journal, ranked by match strength.
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BackgroundLarge-scale CT-based reference standards for abdominal organ volume, incorporating age, sex, and body size, are limited. PurposeTo establish sex- and age-specific reference distributions for major abdominal organ volumes on non-contrast abdominopelvic CT in a nationwide Japanese cohort to provide a foundation for automated clinical assessment and dose optimization. Materials and MethodsIn this retrospective, multicenter study, using the Japan Medical Image Database, we identified all...
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PurposeTo develop and evaluate a novel double bowtie filter integrating a K-edge material layer with a conventional Teflon filter for pediatric spectral computed tomography (CT). The proposed design aims to enhance spectral signal-to-noise ratio (SNR) and spectral separation while maintaining radiation dose levels suitable for pediatric imaging. MethodsA simulation framework was set up and used to model a rapid kVp-switching CT system operating at 70/110 kVp with realistic tube power and geomet...
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Artificial intelligence (AI) based segmentation has many medical applications but limited curated datasets challenge model training; this study compares the impact of dataset annotation quality and quantity on whole liver AI segmentation performance. We obtained 3,089 abdominal computed tomography scans with whole-liver contours from MD Anderson Cancer Center (MDA) and a MICCAI challenge. A total of 249 scans were withheld for testing of which 30, MICCAI challenge data, were reserved for externa...
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Stromal tumor-infiltrating lymphocytes (sTILs) are promising biomarkers for predicting therapeutic outcomes in triple-negative breast cancer (TNBC), with higher sTIL levels correlating with improved chemotherapy response and survival outcomes. Currently, sTILs are manually evaluated by pathologists, which is prone to inter-reader variability. In this study, we have developed an AI-driven TIL segmentation pipeline to process entire diagnostic hematoxylin-and-eosin-stained whole slide images for r...
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AimTo evaluate the accuracy and generalizability of DentalSegmentator, an open-source deep learning tool, for automated segmentation of skeletal facial surfaces from computed tomography (CT) scans acquired under different imaging conditions. Materials and MethodsTen human skulls were scanned using a CT scanner and three cone beam CT (CBCT) protocols (including an ultra-low-dose protocol) on two CBCT devices. High-accuracy reference surface models were acquired using an optical scanner. CBCT an ...
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ObjectiveTo evaluate the criterion-related and discriminant validity, test-retest reliability and minimal detectable difference of The Index of ME Symptoms (TIMES) in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) MethodsPeople with ME/CFS in the UK completed the TIMES online (n=1055). Rasch-transformed interval data and parametric statistics were used: Pearson correlations (with the ME severity scale); analysis of variance; intra-class correlations (ICC) and standard error of meas...
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ObjectiveTo develop and psychometrically evaluate an assessment of symptoms in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) MethodsAn initial symptom list was devised from the relevant literature with the patient and clinician advisory groups. An online survey with 85 symptom items in eight domains was completed by people with ME/CFS. Each item had two response structures (assessing symptom frequency and severity on five-point scales). Rasch analysis assessed each domain for unid...
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IntroductionThe Japanese Ministry of Health, Labour, and Welfare proposed increased copayments for over-the-counter (OTC)-like drugs, with possible special consideration for certain chronic diseases, although the specific diseases to be included were not clarified as of January 2026. The costs attributable to OTC-like drugs indicated for chronic diseases in adults remain unclear. MethodsUsing the DeSC database (individual-level claims data) in fiscal year 2023, we estimated the average per-pers...
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ObjectiveThe objective was to estimate unique patterns of change in fatigue in people with the Post-Covid Syndrome (PCS) over 15 months. Design/SubjectsThe Quebec Action for Post-COVID (QAPC) study was a prospective study designed to provide a patient-centered understanding of symptoms, function, and quality of life in a self-identified Quebec sample. MethodsParticipants were queried every 3 months about symptoms and function. Fatigue was measured with the 10-item Post-COVID Syndrome Fatigue S...
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Cancer heterogeneity is traditionally attributed to multiple parallel signaling pathways. This belief is challenged here by proposing the ER/PR axis as the dominant pathway underlying the full spectrum of breast cancer. Absolutely quantitated ER, PR, Her2 and Ki67 protein levels were accumulated over 8 years from 1652 specimens collected non-selectively and measured with Quantitative Dot Blot (QDB) method over time. Cox analysis showed ER and Ki67 as independent adverse prognostic factors while ...
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BackgroundAlthough DCIS has a relatively low recurrence rate, many patients still receive adjuvant radiotherapy or endocrine therapy, raising concerns about overtreatment. Reliable biomarkers are therefore needed to predict an individual patients risk and guide treatment decisions. Recent studies suggest that the composition of the tumour-associated stroma (TAS) affects progression and outcome, highlighting TAS-derived biomarkers as promising candidates for further investigation. MethodsWe trai...
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Patient selection and enrolment into phase III randomized clinical trials (RCTs) of adjuvant cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitor therapies depend on accurate risk definition. However, standard clinicopathologic criteria incompletely capture recurrence risk, limiting their efficacy in treatment selection. To assess whether artificial intelligence (AI)-enhanced prognostication may enrich the clinical risk groups utilized in the adjuvant NATALEE trial, we evaluated Ataraxis Breast RI...
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Background and AimFibromyalgia is an idiopathic chronic widespread pain syndrome affecting 2-4% of the general population globally. Besides widespread fibromyalgia pain, morning stiffness, associated neurologic as well as sleep problems are also reported. Disease is more prevalent in females of middle-age group with low socioeconomic status, thus deteriorating overall productivity and psychosocial health. There is no permanent cure of the disease. This study aimed to explore, validate and assess...
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BackgroundHER2-positive (HER2+) cancers are associated with aggressive tumor development but also high response rates to targeted blockade treatments of the HER-2/neu signaling pathway leading to improved clinical outcome for the patient. Current clinical analysis of the HER2 status primarily relies on solid tumor biopsies low-suitable for continuous real-time monitoring needed for possible adjustment of the treatment, while serum tests targeting blood-circulating HER-2/neu fragments often show ...
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Recurrence scores based on a 21-gene assay are clinically useful for predicting prognosis and chemotherapy benefit in postmenopausal node-positive breast cancer patients, but its performance in premenopausal patients is inconsistent. Here, we evaluated Ataraxis Breast RISK (ATX), an AI test that predicts recurrence risk, and compared it with the genomic assay. ATX identified high risk patients misclassified as low risk by the genomic assay and therefore may refine selection of patients for adjuv...
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Even mild SARS-CoV-2 infection can lead to post-COVID syndrome, 70% of such patients have post-COVID fatigue (pCF). Many physiological abnormalities observed in pCF could be explained by reduced vagus nerve activity. The vagus nerve, central to metabolic and inflammatory homeostasis, can be activated non-invasively by transcutaneous auricular vagus nerve stimulation (taVNS). Can taVNS improve symptoms in pCF? Data were collected from a randomized study including 114 individuals with pCF. They c...
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A major consequence of the COVID-19 pandemic has been the emergence of post-COVID syndrome (PCS), and more specifically, post-COVID fatigue (pCF), with an estimated prevalence of [~]2%. We previously showed that, compared to healthy controls, people with pCF exhibit changes in muscle physiology, cortical circuitry, and autonomic function. Here we present results from a cohort of people with pCF (N=145), between 12 weeks and 45 months post-infection. We report self-perception of fatigue; objecti...
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BackgroundSegmentation is a routine, yet time-consuming and subjective step in the analysis of positron emission tomography (PET) images. Automatic methods to do it have been suggested, but recent method development has focused on supervised approaches. The previously published unsupervised segmentation methods for PET images are outdated for the arising dynamic human total-body PET images now enabled by the evolving scanner technology. MethodsIn this study, we introduce an unsupervised general...
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Commercially available disposable products such as cell culture utensils and catheters do not necessarily possess sufficient quality for in vitro fertilization (IVF), from the perspective of pyrogen contamination. We aimed to comprehensively analyze the pyrogen contamination status, including bacterial endotoxins, of the products used for IVF in assisted reproductive technology (ART) and improve their cleanliness using a new sterilization technology. Pyrogen contamination levels were evaluated u...
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IntroductionThe adoption of biologic therapies imposes a substantial financial burden on the Jordanian healthcare system. Ranibizumab is prescribed for various retinal disorders, and its associated costs are considerable. The introduction of biosimilars is beneficial in retaining desired clinical parameters while providing cost relief and enhanced access to patients. ObjectiveTo examine the budget impact and expanded access of switching to ranibizumabs biosimilar for the management of retinal d...