Pub Date : 2026-02-03DOI: 10.1007/s00240-026-01945-y
Hakan Cakir
{"title":"Letter to the editor: \"The effect of narrow costovertebral angle on percutaneous nephrolithotomy outcomes\".","authors":"Hakan Cakir","doi":"10.1007/s00240-026-01945-y","DOIUrl":"https://doi.org/10.1007/s00240-026-01945-y","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"49"},"PeriodicalIF":2.2,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114338","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}
Pub Date : 2026-02-03DOI: 10.1007/s00240-025-01896-w
Natalie Meyer, Jean Lee, Victoria Liu, Lejla Pepic, Robert Pearce, Kevin Li, Kevin Shee, Jorge Mena, Justin Ahn, David Bayne, Marshall Stoller, Tom Chi, Wilson Sui, Heiko Yang
{"title":"Endoscopically visible Randall's plaques are an independent predictor of future stone events.","authors":"Natalie Meyer, Jean Lee, Victoria Liu, Lejla Pepic, Robert Pearce, Kevin Li, Kevin Shee, Jorge Mena, Justin Ahn, David Bayne, Marshall Stoller, Tom Chi, Wilson Sui, Heiko Yang","doi":"10.1007/s00240-025-01896-w","DOIUrl":"https://doi.org/10.1007/s00240-025-01896-w","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"46"},"PeriodicalIF":2.2,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114351","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}
Pub Date : 2026-02-03DOI: 10.1007/s00240-026-01942-1
Mudassir Khan, Izhar Husain
Renal calculi are the hard mineral deposits that obstructed in the renal system of the human. Dehydration, hormonal imbalance and urinary obstruction leads to formation of renal calculi leads to the chronic Kidney disease end with the renal failure. The early detection and treatment is the key to prevent the irreversible complication like scarring and renal failure. With the Ultrasound imaging, detection of renal calculi remains to be challenging till data due to its speckle noise, low tissue contrast and varying anatomical variability. To address this limitations, our study proposed the multimodal attention driven network with blockchain integrity that integrates the complementary global and local representations of the medical data. The developed cross attention fusion module with the interpretability layer strengthens the decision to extract outputs. Additionally, blockchain with smart contracts is utilized to ensure privacy, integrity, and auditability of data in clinical applications. Experimental outcomes prove that Mutimodal attention-Driven network acquires better diagnostic performance with 98.5% accuracy and 99.1% AUC, making it a secure and trustworthy solution for healthcare environments.
{"title":"Multimodal attention-driven network with blockchain integrity for reliable kidney stone diagnosis.","authors":"Mudassir Khan, Izhar Husain","doi":"10.1007/s00240-026-01942-1","DOIUrl":"https://doi.org/10.1007/s00240-026-01942-1","url":null,"abstract":"<p><p>Renal calculi are the hard mineral deposits that obstructed in the renal system of the human. Dehydration, hormonal imbalance and urinary obstruction leads to formation of renal calculi leads to the chronic Kidney disease end with the renal failure. The early detection and treatment is the key to prevent the irreversible complication like scarring and renal failure. With the Ultrasound imaging, detection of renal calculi remains to be challenging till data due to its speckle noise, low tissue contrast and varying anatomical variability. To address this limitations, our study proposed the multimodal attention driven network with blockchain integrity that integrates the complementary global and local representations of the medical data. The developed cross attention fusion module with the interpretability layer strengthens the decision to extract outputs. Additionally, blockchain with smart contracts is utilized to ensure privacy, integrity, and auditability of data in clinical applications. Experimental outcomes prove that Mutimodal attention-Driven network acquires better diagnostic performance with 98.5% accuracy and 99.1% AUC, making it a secure and trustworthy solution for healthcare environments.</p>","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"47"},"PeriodicalIF":2.2,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114418","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}
Pub Date : 2026-02-03DOI: 10.1007/s00240-026-01938-x
Ossama Mahmoud, Mahmoud Abdallah, Ahmed Abdellatif, Ahmed Hamdy Mostafa, Anas Albudairat, Akram A Elmarakbi, Hany F Badawy
{"title":"Comparative evaluation of flexible ureterorenoscopy and mini-percutaneous nephrolithotomy for the management of renal pelvic stones less than 2 cm with high attenuation value in pediatric patients: a prospective randomized study.","authors":"Ossama Mahmoud, Mahmoud Abdallah, Ahmed Abdellatif, Ahmed Hamdy Mostafa, Anas Albudairat, Akram A Elmarakbi, Hany F Badawy","doi":"10.1007/s00240-026-01938-x","DOIUrl":"10.1007/s00240-026-01938-x","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"48"},"PeriodicalIF":2.2,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12868023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-31DOI: 10.1007/s00240-026-01937-y
Charlotte Slots, Matthias Boeykens, Kim Pauwaert, Alba Sierra, Toon Mylle, Yasser Noureldin, Thomas Tailly, Olivier Traxer
{"title":"Correction: Under pressure: what we thought we knew about gravity irrigation in flexible ureteroscopy.","authors":"Charlotte Slots, Matthias Boeykens, Kim Pauwaert, Alba Sierra, Toon Mylle, Yasser Noureldin, Thomas Tailly, Olivier Traxer","doi":"10.1007/s00240-026-01937-y","DOIUrl":"https://doi.org/10.1007/s00240-026-01937-y","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"43"},"PeriodicalIF":2.2,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146094120","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}
Pub Date : 2026-01-31DOI: 10.1007/s00240-025-01900-3
Duaa Tahir Mahmood, Helen L Richards, Derek B Hennessey
{"title":"Patient needs and preferences for a kidney stone self-monitoring app: a pilot survey analysis.","authors":"Duaa Tahir Mahmood, Helen L Richards, Derek B Hennessey","doi":"10.1007/s00240-025-01900-3","DOIUrl":"10.1007/s00240-025-01900-3","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"45"},"PeriodicalIF":2.2,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146094046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1007/s00240-025-01883-1
Mehdi Shah Mirzaei, Shahriar Amirhassani, Arian Karimi Rouzbahani, Golnaz Mahmoudvand, Maede Mohseni, Seyed Habibollah Mousavi-Bahar
{"title":"Comparison of tubeless intercostal percutaneous nephrolithotomy with the standard technique: A randomized controlled clinical trial.","authors":"Mehdi Shah Mirzaei, Shahriar Amirhassani, Arian Karimi Rouzbahani, Golnaz Mahmoudvand, Maede Mohseni, Seyed Habibollah Mousavi-Bahar","doi":"10.1007/s00240-025-01883-1","DOIUrl":"https://doi.org/10.1007/s00240-025-01883-1","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"42"},"PeriodicalIF":2.2,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087117","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}
Pub Date : 2026-01-30DOI: 10.1007/s00240-026-01946-x
Burak Elmaağaç, Ali Yasin Özercan, Abdullah Gölbaşı, Hüseyin Biçer, Ercan Arslan, Mert Ali Karadağ
This study aimed to compare the predictive performance of traditional stone scoring systems with a large language model based on ChatGPT in estimating stone-free rates following percutaneous nephrolithotomy. A total of 340 patients who underwent the procedure between 2019 and 2025 were retrospectively analyzed. Preoperative stone complexity was evaluated using four established scoring systems-Guy's Stone Score, the CROES nomogram, the S.T.O.N.E. nephrolithometry score, and the Seoul National University Renal Stone Complexity score-and each case was additionally processed through a ChatGPT-based prediction model. The predicted outcomes of each method were compared with actual postoperative results using correlation analysis and multivariate regression. The overall stone-free rate was 60.9%. Patients who achieved stone-free status had significantly lower Guy's Stone Score, S.T.O.N.E., and S-ReSC values than those with residual stones (all p < 0.001). In contrast, neither the CROES nomogram (p = 0.19) nor the ChatGPT-based predicted stone-free probability (p = 0.549) differed significantly between the two groups. Univariate analysis revealed that higher values in Guy's Stone Score, S.T.O.N.E., and S-ReSC scores were associated with stone-free failure. Multivariate analysis identified Guy's Stone Score and S.T.O.N.E. score as independent predictors of surgical success. In contrast, the ChatGPT-based model showed limited predictive performance and failed to provide reliable estimates for stone-free rates in our study. These findings support the continued clinical utility of conventional scoring systems while emphasizing the need for further development and validation of artificial intelligence models. Large language models must be trained on structured clinical datasets and externally validated before their integration into surgical decision-making processes in endourology.
本研究旨在比较传统结石评分系统与基于ChatGPT的大型语言模型在经皮肾镜取石术后结石清除率的预测性能。对2019年至2025年间接受该手术的340名患者进行了回顾性分析。术前结石复杂性使用四种既定评分系统进行评估——guy 's stone Score、CROES nomogram、S.T.O.N.E.肾结石测量评分和首尔国立大学肾结石复杂性评分——每个病例都通过基于chatgtt的预测模型进行额外处理。采用相关分析和多元回归将各方法的预测结果与术后实际结果进行比较。总体脱石率为60.9%。无结石患者的Guy's Stone Score、S.T.O.N.E和S-ReSC值明显低于残留结石患者（p < 0.05）
{"title":"Artificial intelligence versus classical scoring systems: a comparative analysis of stone-free prediction after percutaneous nephrolithotomy.","authors":"Burak Elmaağaç, Ali Yasin Özercan, Abdullah Gölbaşı, Hüseyin Biçer, Ercan Arslan, Mert Ali Karadağ","doi":"10.1007/s00240-026-01946-x","DOIUrl":"10.1007/s00240-026-01946-x","url":null,"abstract":"<p><p>This study aimed to compare the predictive performance of traditional stone scoring systems with a large language model based on ChatGPT in estimating stone-free rates following percutaneous nephrolithotomy. A total of 340 patients who underwent the procedure between 2019 and 2025 were retrospectively analyzed. Preoperative stone complexity was evaluated using four established scoring systems-Guy's Stone Score, the CROES nomogram, the S.T.O.N.E. nephrolithometry score, and the Seoul National University Renal Stone Complexity score-and each case was additionally processed through a ChatGPT-based prediction model. The predicted outcomes of each method were compared with actual postoperative results using correlation analysis and multivariate regression. The overall stone-free rate was 60.9%. Patients who achieved stone-free status had significantly lower Guy's Stone Score, S.T.O.N.E., and S-ReSC values than those with residual stones (all p < 0.001). In contrast, neither the CROES nomogram (p = 0.19) nor the ChatGPT-based predicted stone-free probability (p = 0.549) differed significantly between the two groups. Univariate analysis revealed that higher values in Guy's Stone Score, S.T.O.N.E., and S-ReSC scores were associated with stone-free failure. Multivariate analysis identified Guy's Stone Score and S.T.O.N.E. score as independent predictors of surgical success. In contrast, the ChatGPT-based model showed limited predictive performance and failed to provide reliable estimates for stone-free rates in our study. These findings support the continued clinical utility of conventional scoring systems while emphasizing the need for further development and validation of artificial intelligence models. Large language models must be trained on structured clinical datasets and externally validated before their integration into surgical decision-making processes in endourology.</p>","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"41"},"PeriodicalIF":2.2,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12858549/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1007/s00240-025-01933-8
Rabie M Ibrahim, Amr M Lotfy, Ossama Mahmoud, Mohamed Abd Elrady, Mahmoud Abdallah
{"title":"Effect of initial drainage method on retrograde intrarenal surgery outcomes in acute calcular pyelonephritis: a prospective comparative study.","authors":"Rabie M Ibrahim, Amr M Lotfy, Ossama Mahmoud, Mohamed Abd Elrady, Mahmoud Abdallah","doi":"10.1007/s00240-025-01933-8","DOIUrl":"10.1007/s00240-025-01933-8","url":null,"abstract":"","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"54 1","pages":"40"},"PeriodicalIF":2.2,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12847201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146053891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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