Urolithiasis最新文献_第2页

A retrospective narrative review of kidney stone composition in patients from two race groups having different stone occurrence profiles: a hypothesis-generating study of stone formation based on stone composition alone. 来自两个不同结石发生概况的种族组患者肾结石组成的回顾性叙述综述：一项仅基于结石组成的结石形成假设生成研究。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-21 DOI: 10.1007/s00240-026-01987-2

Allen L Rodgers, Grace Carmichael

引用次数: 0

Explainable machine learning algorithms for preoperative risk stratification of urosepsis after retrograde intrarenal surgery. 逆行肾内手术后尿脓毒症术前风险分层的可解释机器学习算法。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-21 DOI: 10.1007/s00240-026-01982-7

Zuheng Wang, Yun Li, Qianshi Jiang, Xiao Li, Chunmeng Wei, Rongbin Zhou, Wenhao Lu, Fanchang Zeng, Fubo Wang

引用次数: 0

Clinicoradiomic analysis for predicting short-term treatment efficacy after one session of ultrasound-guided extracorporeal wave lithotripsy in patients with a single ureteral stone. 单输尿管结石患者超声引导体外波碎石术一期后短期疗效预测的临床放射学分析。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-21 DOI: 10.1007/s00240-026-01990-7

Yueyue Zhang, Meng Wang, Chenyi He, Hua Tong, Bin Liu, Jueqi Chen

{"title":"Clinicoradiomic analysis for predicting short-term treatment efficacy after one session of ultrasound-guided extracorporeal wave lithotripsy in patients with a single ureteral stone.","authors":"Yueyue Zhang, Meng Wang, Chenyi He, Hua Tong, Bin Liu, Jueqi Chen","doi":"10.1007/s00240-026-01990-7","DOIUrl":"https://doi.org/10.1007/s00240-026-01990-7","url":null,"abstract":"The aim of this study was to identify an optimal model for predicting the short-term efficacy of ultrasound-guided extracorporeal shock wave lithotripsy (SWL) utilizing clinical and radiomic parameters. Patients requiring SWL for ureteral stones between June 1, 2021, and November 30, 2024, were consecutively divided into training, validation and testing cohorts. Radiomic features of regions depicting stones were extracted from computed tomography images using PyRadiomics. To identify independent predictors for the short-term success of SWL, feature selection and univariate and multivariate analyses were conducted. Additionally, models were created by combining radiomic features with clinical predictors and evaluated through receiver operating characteristic (ROC) curve analysis. Calibration and decision curve analyses were employed to assess the fit and clinical benefit of the models. In total, 218 patients were enrolled in the training, validation, and testing cohorts, comprising 125, 42, and 51 patients, respectively. Following logistic regression analyses and model development, ROC curve analysis indicated that the area under the curve values for the clinical, radiomic, and combined models were 0.757, 0.860, and 0.861 for the training group; 0.739, 0.861, and 0.852 for the validation group; and 0.731, 0.817 and 0.817 for the test group, respectively. The calibration curves demonstrated a good fit of the combined model in both cohorts. Decision curve analysis indicated greater net clinical benefits for both the combined and radiomic models than for the clinical model. In conclusion, compared with the combined model, the radiomic model demonstrated comparable predictive performance, and both outperformed the clinical model in predicting short-term SWL efficacy. These findings may have practical implications for treatment decisions.","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Association between gastroesophageal reflux disease and kidney stone disease in cross-sectional and longitudinal analyses. 横断面和纵向分析胃食管反流病与肾结石病的关系

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-15 DOI: 10.1007/s00240-026-01988-1

Chien-Hao Chen, Ming-Ru Lee, Szu-Chia Chen, Liang-Chi Huang, Jiun-Hung Geng

引用次数: 0

Risk factors and a predictive model for steinstrasse formation after shock wave lithotripsy in pediatric urolithiasis. 小儿尿石症冲击波碎石术后尿石形成的危险因素和预测模型。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-10 DOI: 10.1007/s00240-026-01975-6

Ferhat Çoban, Hüseyin Kutlu, Kağan Türker Akbaba, Mehmet Eflatun Deniz, Bedreddin Kalyenci

引用次数: 0

Predicting the stone-free status post percutaneous nephrolithotomy: a meta-analysis of machine learning models. 预测经皮肾镜取石术后无结石状态：机器学习模型的荟萃分析。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-10 DOI: 10.1007/s00240-026-01974-7

Abdullah Abdulhalim Behbehani, Mohammed Ahmad Al-Awadhi, Yousef Mesaed Al-Shammari, Shahad Tawfeeq Albusairi, Saleh Yaqoob Rouhaldeen, Abdullah Naser Alsheeha, Dhari Aws Al-Khalfan, Shady Mohamed Salem

引用次数: 0

RIRS outcomes of conventional and pulse-modulated Ho:YAG lasers versus thulium fiber laser: a multinomial matching analysis. 常规和脉冲调制Ho:YAG激光器与铥光纤激光器的RIRS结果：多项匹配分析。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-07 DOI: 10.1007/s00240-026-01986-3

Burak Elmas, Mustafa Kaba, Ender Cem Bulut, İrem Aleyna Teke, Ahmet Bora Küpeli

引用次数: 0

Associations between dietary macronutrient composition and kidney stone prevalence in the U.S. adult population. 美国成年人饮食宏量营养素组成与肾结石患病率之间的关系

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-06 DOI: 10.1007/s00240-026-01983-6

Xijie Ding, Zhichao Chi, Ziyang Qiang, Xi Zhang, Jianxing Li, Guojun Chen, Chaoyue Ji, Weiguo Hu

引用次数: 0

Calcium oxalate crystals exacerbate the damage and inflammation of renal tubular epithelial cells by blocking autophagic flux. 草酸钙晶体通过阻断自噬通量加重肾小管上皮细胞的损伤和炎症。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-06 DOI: 10.1007/s00240-026-01980-9

Zhenyu Song, Xike Mao, Yuehan Yang, Yang Chen, Zongyao Hao, Lvwen Zhang

{"title":"Calcium oxalate crystals exacerbate the damage and inflammation of renal tubular epithelial cells by blocking autophagic flux.","authors":"Zhenyu Song, Xike Mao, Yuehan Yang, Yang Chen, Zongyao Hao, Lvwen Zhang","doi":"10.1007/s00240-026-01980-9","DOIUrl":"https://doi.org/10.1007/s00240-026-01980-9","url":null,"abstract":"Kidney stones, as prevalent crystalline disorders within the urinary system, pose significant clinical challenges due to their high incidence and recurrence rates. The lack of clear pathological mechanisms has limited therapeutic options to surgical interventions without effective preventive strategies. In this study, integrated in vitro and in vivo models revealed that calcium oxalate (CaOx) exposure induced concurrent accumulation of LC3B-II and p62 autophagy markers. Blockade of autophagic flux at the late stage was validated via mCherry-GFP-LC3 dual fluorescence assays, demonstrating impaired autolysosome formation. Mechanistically, autophagic flux obstruction triggered oxidative stress, apoptosis, and proinflammatory cascades, collectively exacerbating renal tubular injury. Pharmacological inhibition of autophagy initiation with 3-methyladenine (3-MA) disrupted the maladaptive autophagy-reinforcement cycle, improving cellular viability and renal function. Conversely, lysosomal acidification blockade via bafilomycin A1 (BafA1) failed to mitigate cytotoxicity. Molecular screening identified specific downregulation of VAMP7-a SNARE complex component critical for autophagosome-lysosome fusion-as the primary mediator of CaOx-induced fusion defects. Overexpression of VAMP7 restored autophagic homeostasis and attenuated crystallotoxicity. This work pioneers a phase-specific autophagy targeting strategy: either suppression of pathological autophagic overactivation or restoration of terminal fusion machinery effectively alleviates CaOx nephrotoxicity. These findings provide a mechanistic foundation for precision therapeutics in stone disease management.","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147623837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comment on "Recognizing uric acid type of urinary stones by deep learning": strengthening the reference standard and the image-to-label pipeline for reproducibility. 点评“深度学习识别尿酸型尿路结石”：加强参考标准和图像到标签的可重复性管道。

IF 2.2 2区医学

Urolithiasis Pub Date : 2026-04-06 DOI: 10.1007/s00240-026-01965-8

Min-Gui Lin, Chao-Hong Yang, Rong-Jing Wang

引用次数: 0