Background: Assessment of the severity of skin tightness by the modified Rodnan skin score (mRSS) for systemic sclerosis (SSc) has been found feasible, valid, and reliable. Despite being a major clinical outcome, it has not yet been validated by Scleroderma Research Group.
Objective: To (a) determine the inter-observer variability vis-à-vis mRSS assessment by members ofthe Scleroderma Research Group before and after mRSS-assessment training by an experienced rheumatologist and (b) determine intra-observer variability.
Material And Method: Between June and August 2013, we conducted a descriptive study of Thai adult SSc patients and all rheumatologists in the Scleroderma Research Group at Srinagarind Hospital, Khon Kaen University, Northeast Thailand. Eleven rheumatologists assessed the mRSS of 22 SSc patients three times (i.e., before and after training, and eight weeks after training). The intra-class correlation coefficient (ICC) and its 95% CI were estimated at week 8 after training.
Results: The mean and standard deviation (SD) of mRSS for inter-observer variability analysis was slightly decreased from before training, after training (by an experienced rheumatologist), and at week 8 after training (17.3 ± 11.9, 16.5 ± 11.1, and 16.2 ± 10.3, respectively). Intra-observer variability had moderate agreement before training (ICC 0.59; 95% CI 0.38-0.78), which increased to good agreement after training and at week 8 after training (ICC 0.60; 95% CI 0.42-0.76 vs. 0.68; 95% CI 0.53-0.82, respectively).
Conclusion: Inter-observer variability for mRSS assessment decreased after training and the reduction persisted for eight weeks after training. The ICC rose from moderate agreement at baseline to good agreement at the end of the study. The mRSS assessment by members of the Scleroderma Research Group was reliable.
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Comput Biol Med
January 2025
School of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea. Electronic address:
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.
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January 2025
Derby Fertility Unit, Royal Derby Hospital, University Hospital of Derby and Burton, Derby DE22 3NE, UK.
: The aim of this study is to assess the inter- and intra-observer reproducibility of the identification of direct and indirect ultrasonographic features of adenomyosis as defined by the revised Morphological Uterus Sonographic Assessment (MUSA) consensus (2022). : A cohort of 74 women, aged 18 to 45, were recruited from the recurrent miscarriage and general gynaecology clinic at a university-based fertility centre. All the participants underwent 2D and 3D transvaginal Ultrasound scan (TVS) examination in the late follicular and early luteal phase.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
The rapid development of artificial intelligence (AI) is impacting the medical sector by offering new possibilities for faster and more accurate diagnoses. Symptom checker apps show potential for supporting patient decision-making in this regard. Whether the AI-based decision-making of symptom checker apps shows better performance in diagnostic accuracy and urgency assessment compared to physicians remains unclear.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
3D-Lab, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Purpose: Currently, no gold standard exists for 3D analysis of virtually planned surgery accuracy postoperatively. The aim of this study was to present a new, validated and standardised methodology for 3D postoperative assessment of surgical accuracy in patients undergoing 3D virtually planned and guided corrective osteotomies.
Methods: All patients who underwent 3D planned corrective osteotomy in 2021-2022 at our center with a postoperative CT were included.
Eur J Trauma Emerg Surg
January 2025
Department of Orthopaedic Surgery, Hyogo Prefectural Nishinomiya Hospital, 13-9, Rokutanji, Nishinomiya, 662-0918, Japan.
Purpose: Evaluating sacral fractures is crucial in fragility fractures of the pelvis. Dual-energy CT (DECT) is considered useful for diagnosing unclear fractures on single-energy CT (SECT). This study aims to investigate the effectiveness of DECT in diagnosing sacral fractures.
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