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Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs. 评估深度学习模型在腰椎x线片骨质疏松筛查中的表现。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2026-01-01 Epub Date: 2025-12-08 DOI: 10.1007/s00774-025-01672-1
Artit Boonrod, Nut Kittipongphat, Prarinthorn Piyaprapaphan, Daris Theerakulpisut, Arunnit Boonrod

Introduction: To diagnose osteoporosis, assess the risk of fragility fracture, and determine the necessity for treatment, bone mineral density (BMD) is mostly measured from dual energy X-ray absorptiometry (DXA) as a gold standard. Due to the limited resources of DXA, we proposed the deep learning models to screen for osteoporosis and measure its accuracy on osteoporosis detection from lumbar spine radiographs.

Materials and methods: The models were developed from the training data set (2244 anteroposterior and 2368 lateral lumbar spine radiographs). We categorized patients into two groups based on DXA BMD T-score: non-osteoporosis (T >  - 2.5) and osteoporosis (T ≤  - 2.5). A two-class models were trained to classify non-osteoporosis and osteoporosis. Model performance was tested with the test data set (963 AP and 1018 lateral images) to evaluate the accuracy.

Results: The results showed that, for AP images, the ResNet-18 model diagnosing osteoporosis achieved an area under the curve (AUC) of 0.79 (95% confidence interval [CI] 0.76-0.82) with a concomitant sensitivity of 79.7% (95% CI 74.4-85.0%) and specificity of 66.5% (95% CI 63.1-69.9%). For lateral images, the DarkNet-19 model yielded the highest AUC at 0.82 (95% CI 0.80-0.85) with the highest sensitivity for lateral data set at 87.5% (95% CI 83.1-91.9%) and specificity of 79.4% (95% CI 76.6-82.2%).

Conclusions: Deep learning models may have the efficacy to anticipate osteoporosis screening based on lumbar spine radiographs which would be helpful as a readily available tool for assessing the risk and determining treatment.

为了诊断骨质疏松症,评估脆性骨折的风险,并确定治疗的必要性,骨密度(BMD)主要是通过双能x线吸收仪(DXA)作为金标准来测量的。由于DXA资源有限,我们提出了深度学习模型来筛查骨质疏松症,并测量其在腰椎x线片骨质疏松症检测中的准确性。材料和方法:从训练数据集(2244张腰椎正位片和2368张腰椎侧位片)中开发模型。我们根据DXA BMD T评分将患者分为两组:非骨质疏松(T≤- 2.5)和骨质疏松(T≤- 2.5)。对非骨质疏松和骨质疏松两类模型进行分类训练。使用测试数据集(963张AP图像和1018张横向图像)对模型性能进行测试,以评估模型的准确性。结果:结果显示,对于AP图像,ResNet-18模型诊断骨质疏松的曲线下面积(AUC)为0.79(95%可信区间[CI] 0.76 ~ 0.82),伴随敏感性为79.7% (95% CI 74.4 ~ 85.0%),特异性为66.5% (95% CI 63.1 ~ 69.9%)。对于侧面图像,DarkNet-19模型的最高AUC为0.82 (95% CI 0.80-0.85),侧面数据集的最高灵敏度为87.5% (95% CI 83.1-91.9%),特异性为79.4% (95% CI 77.6 -82.2%)。结论:深度学习模型可能有效预测基于腰椎x线片的骨质疏松症筛查,这将有助于作为评估风险和确定治疗的现成工具。
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引用次数: 0
Platelet-like cells differentiated from adipose-derived mesenchymal stem cells inhibit acute inflammation of tendinopathy in rats. 脂肪来源的间充质干细胞分化的血小板样细胞抑制大鼠肌腱病的急性炎症。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2026-01-01 Epub Date: 2025-10-03 DOI: 10.1007/s00774-025-01647-2
Akiko Torii, Yuichi Yamada, Yukako Ono-Uruga, Yuiko Sato, Yosuke Kaneko, Satoshi Nakamura, Takuji Iwamoto, Yumiko Matsubara, Morio Matsumoto, Masaya Nakamura, Kazuki Sato, Takeshi Miyamoto

Introduction: Tendinopathy, a disease that causes inflammation and pain and limits patients' activities of daily living, is considered particularly important to treat during the acute inflammatory phase to prevent the transition to chronic degeneration. Recently, platelet-rich plasma (PRP) has been used to treat tendinopathy; however, it is not clear whether platelets themselves, which are the active component of PRP, could be effective in treating tendinopathy.

Materials and methods: We made rat Achilles tendinopathy models by incision of the calcaneal attachment and administrated platelet-like cells derived from adipose-derived mesenchymal stem cells (ASCL-PLCs) to the injury site and investigated the anti-inflammatory effect.

Results: ASCL-PLCs significantly inhibits the inflammatory cytokine expression and inflammatory cell infiltration in acute tendonitis in a rat Achilles tendon injury model in vivo. Interestingly, we observed no xeno-reaction when human-derived ASCL-PLCs were administered to wild-type rats in vivo. Moreover, IL-6 expression and phosphorylation seen in NIH3T3 fibroblasts treated with IL-6 plus soluble IL-6 receptor were both significantly suppressed by ASCL-PLCs in vitro.

Conclusion: ASCL-PLC has advantages over existing PRP therapies, including the ability to be cryopreserved after quality checks, and homogeneous populations of ASCL-PLCs can be prepared in large quantity. We conclude that in the future ASCL-PLCs may serve as an allogeneic transplant effective to treat tendinopathy.

简介:肌腱病是一种引起炎症和疼痛并限制患者日常生活活动的疾病,在急性炎症期治疗以防止向慢性变性过渡尤为重要。最近,富血小板血浆(PRP)已被用于治疗肌腱病变;然而,作为PRP的活性成分,血小板本身是否能有效治疗肌腱病变尚不清楚。材料和方法:通过切开跟骨附着点制作大鼠跟腱病变模型,并在损伤部位给予脂肪源性间充质干细胞(ascl - plc)衍生的血小板样细胞,观察其抗炎作用。结果:ascl - plc能显著抑制急性跟腱炎模型大鼠体内炎症细胞因子表达和炎症细胞浸润。有趣的是,我们在野生型大鼠体内给药人源性ascl - plc时未观察到异种反应。此外,IL-6 +可溶性IL-6受体处理的NIH3T3成纤维细胞IL-6的表达和磷酸化均被ascl - plc体外显著抑制。结论:与现有的PRP疗法相比,ASCL-PLC具有质量检查后冷冻保存的优势,并且可以大量制备均匀的ASCL-PLC群体。我们的结论是,在未来,ascl - plc可能作为一种同种异体移植有效治疗肌腱病变。
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引用次数: 0
Bone mineral density after spinal cord injury: assessment of hip and knee measurements-response to the Letter to Editor. 脊髓损伤后的骨矿物质密度:髋关节和膝关节测量的评估——对致编辑信的回应。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-29 DOI: 10.1007/s00774-025-01675-y
Nurdan Korkmaz, Gökhan Yardımcı, Ayşe Naz Kalem Özgen, Özlem Köroğlu, Bilge Yılmaz
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引用次数: 0
Response to letter to the editor on "Preoperative treatment and postoperative outcomes in osteoporotic patients with vertebral fractures: a longitudinal database study". 对“骨质疏松性椎体骨折患者的术前治疗和术后结果:一项纵向数据库研究”致编辑的回复。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-29 DOI: 10.1007/s00774-025-01679-8
Ruriko Koto, Shiori Yoshida, Akihiro Nakajima, Tetsuya Miwa, Naohisa Miyakoshi
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引用次数: 0
Neuroimmune interactions in arthritis: linking pain sensitisation and inflammation. 关节炎中的神经免疫相互作用:连接疼痛致敏和炎症。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-27 DOI: 10.1007/s00774-025-01678-9
Tammie Tao Min Sow, Tetsuo Hasegawa

Arthritis represents a group of chronic joint diseases characterised by persistent inflammation, pain, and progressive tissue damage. Despite advances in therapeutic management, many patients experience incomplete symptom relief, highlighting the need to better understand the underlying mechanisms that sustain inflammation and pain. Emerging evidence indicates that neuroimmune interactions within the joint microenvironment play a central role in the pathogenesis of arthritis. The synovium, a thin membrane that lines the joint cavity, is the primary site of pathology in arthritis and serves as a dynamic interface integrating immune, vascular, and neural components. Under physiological conditions, tissue-resident macrophages, fibroblasts, and sensory nerve fibres maintain joint homeostasis. However, during arthritis, the synovium undergoes extensive remodelling, including hyperplasia, angiogenesis, and nerve fibre sprouting, which together amplify inflammatory and nociceptive signalling. Distinct macrophage subsets within the synovium exhibit specialised roles in mediating inflammation and communicating with neurons. Macrophage-derived cytokines such as IL-1β, IL-6, and TNF-α can directly sensitise nociceptors, whilst chemokines like CCL2 engage neuronal receptors to enhance excitability. Conversely, activated sensory neurons release neuropeptides such as calcitonin gene-related peptide (CGRP) and substance P (SP), which can modulate immune cell behaviour. Sympathetic signalling further contributes to immune modulation and correlates with disease severity. Together, these studies reveal that arthritis progression and chronic pain are shaped by reciprocal signalling between the nervous and immune systems. Understanding these complex pathways offers new perspectives for therapeutic intervention, suggesting that targeting neuroimmune crosstalk could provide dual benefits-reducing inflammation whilst alleviating chronic pain in arthritic disease.

关节炎是一组以持续炎症、疼痛和进行性组织损伤为特征的慢性关节疾病。尽管在治疗管理方面取得了进展,但许多患者的症状没有完全缓解,这突出了更好地了解维持炎症和疼痛的潜在机制的必要性。新出现的证据表明,关节微环境中的神经免疫相互作用在关节炎的发病机制中起着核心作用。滑膜是一种排列在关节腔内的薄膜,是关节炎的主要病理部位,是免疫、血管和神经成分的动态界面。在生理条件下,组织内巨噬细胞、成纤维细胞和感觉神经纤维维持关节的内稳态。然而,在关节炎期间,滑膜经历了广泛的重塑,包括增生、血管生成和神经纤维发芽,这些共同放大了炎症和伤害性信号。滑膜内不同的巨噬细胞亚群在介导炎症和与神经元交流中表现出特殊的作用。巨噬细胞衍生的细胞因子如IL-1β、IL-6和TNF-α可以直接使伤害感受器敏感,而趋化因子如CCL2参与神经元受体以增强兴奋性。相反,激活的感觉神经元释放神经肽,如降钙素基因相关肽(CGRP)和P物质(SP),它们可以调节免疫细胞的行为。交感神经信号进一步促进免疫调节并与疾病严重程度相关。总之,这些研究表明,关节炎的进展和慢性疼痛是由神经系统和免疫系统之间的相互信号决定的。了解这些复杂的通路为治疗干预提供了新的视角,表明靶向神经免疫串扰可以提供双重益处-减少炎症同时减轻关节炎疾病的慢性疼痛。
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引用次数: 0
List of reviewers 2025. 评审人员名单2025。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-12 DOI: 10.1007/s00774-025-01668-x
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引用次数: 0
Journal of Bone and Mineral Metabolism Best Paper Award 2025. 《骨与矿物质代谢杂志》2025年最佳论文奖。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-09 DOI: 10.1007/s00774-025-01669-w
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引用次数: 0
Critical Appraisal on "Bone mineral density after spinal cord injury: assessment of hip and knee measurements". 对“脊髓损伤后骨矿物质密度:髋关节和膝关节测量的评估”的批判性评价。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-12-07 DOI: 10.1007/s00774-025-01673-0
Richa Kothari, Rekha Pathak, Vandana Gupta
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引用次数: 0
Post-2019 anabolic advancements and the 90-day intervention window: Policy and clinical insights for osteoporotic vertebral fracture management. 2019年后合成代谢进展和90天干预窗口:骨质疏松性椎体骨折管理的政策和临床见解。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-11-25 DOI: 10.1007/s00774-025-01666-z
Haoze Gan, Yun Zhang, Changlong Yang
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引用次数: 0
Critical appraisal of "Preoperative treatment and postoperative outcomes in osteoporotic patients with vertebral fractures: a longitudinal database study". 对“骨质疏松性椎体骨折患者的术前治疗和术后预后:一项纵向数据库研究”的关键评价。
IF 2.2 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Pub Date : 2025-11-25 DOI: 10.1007/s00774-025-01665-0
Mihir Manuja
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引用次数: 0
期刊
Journal of Bone and Mineral Metabolism
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