{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T20:44:54Z","timestamp":1757623494741,"version":"3.44.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,9]]},"DOI":"10.7759\/cureus.91878","type":"journal-article","created":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T07:33:03Z","timestamp":1757403183000},"source":"Crossref","is-referenced-by-count":0,"title":["The Predictive Accuracy of Hounsfield Units and Urinary pH in the Non-invasive Diagnosis of Radiolucent Urinary Stones"],"prefix":"10.7759","author":[{"given":"Mushtaq","family":"Hussain","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulla","family":"Alawadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuko","family":"Smith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kanwal","family":"Naz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Umair","family":"Shafiq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charlotte","family":"Armitage","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00240-023-01490-y","article-title":"Development and external validation of a machine learning-based model to classify uric acid stones in patients with kidney stones of Hounsfield units\u2009<\u2009800","volume":"51","author":"Chew BH","year":"2023","unstructured":"Chew BH, Wong VK, Halawani A, Lee S, Baek S, Kang H, Koo KC. Development and external validation of a machine learning-based model to classify uric acid stones in patients with kidney stones of Hounsfield units\u2009&lt;\u2009800. Urolithiasis. 2023, 51:10.1007\/s00240-023-01490-y","journal-title":"Urolithiasis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s40134-023-00420-5","article-title":"Current status on new technique and protocol in urinary stone disease","volume":"11","author":"Montatore M","year":"2023","unstructured":"Montatore M, Muscatella G, Eusebi L, et al.. Current status on new technique and protocol in urinary stone disease. Curr Radiol Rep. 2023, 11:161-76. 10.1007\/s40134-023-00420-5","journal-title":"Curr Radiol Rep"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00345-019-02688-9","article-title":"Medical dissolution therapy for the treatment of uric acid nephrolithiasis","volume":"37","author":"Gridley CM","year":"2019","unstructured":"Gridley CM, Sourial MW, Lehman A, Knudsen BE. Medical dissolution therapy for the treatment of uric acid nephrolithiasis. World J Urol. 2019, 37:2509-15. 10.1007\/s00345-019-02688-9","journal-title":"World J Urol"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00247-022-05541-1","article-title":"Pediatric urolithiasis: what can pediatricians expect from radiologists?","volume":"53","author":"Bernardor J","year":"2023","unstructured":"Bernardor J, Bidault V, Bacchetta J, Cabet S. Pediatric urolithiasis: what can pediatricians expect from radiologists?. Pediatr Radiol. 2023, 53:695-705. 10.1007\/s00247-022-05541-1","journal-title":"Pediatr Radiol"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00345-024-05340-3","article-title":"A nomogram to predict \"pure\" vs. \"mixed\" uric acid urinary stones","volume":"42","author":"Zieber L","year":"2024","unstructured":"Zieber L, Creiderman G, Krenawi M, Rothenstein D, Enikeev D, Ehrlich Y, Lifshitz D. A nomogram to predict \"pure\" vs. \"mixed\" uric acid urinary stones. World J Urol. 2024, 42:10.1007\/s00345-024-05340-3","journal-title":"World J Urol"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107691","article-title":"Pure uric acid stone prediction model using the variant coefficient of stone density measured by thresholding 3D segmentation-based methods: a multicenter study","volume":"240","author":"Song BI","year":"2023","unstructured":"Song BI, Lee J, Jung W, Kim BS. Pure uric acid stone prediction model using the variant coefficient of stone density measured by thresholding 3D segmentation-based methods: a multicenter study. Comput Methods Programs Biomed. 2023, 240:10.1016\/j.cmpb.2023.107691","journal-title":"Comput Methods Programs Biomed"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.urology.2013.01.015","article-title":"Using Hounsfield unit measurement and urine parameters to predict uric acid stones","volume":"82","author":"Spettel S","year":"2013","unstructured":"Spettel S, Shah P, Sekhar K, Herr A, White MD. Using Hounsfield unit measurement and urine parameters to predict uric acid stones. Urology. 2013, 82:22-6. 10.1016\/j.urology.2013.01.015","journal-title":"Urology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4103\/0974-7796.134270","article-title":"Use of computed tomography scout film and Hounsfield unit of computed tomography scan in predicting the radio-opacity of urinary calculi in plain kidney, ureter and bladder radiographs","volume":"6","author":"Chua ME","year":"2014","unstructured":"Chua ME, Gomez OR, Sapno LD, Lim SL, Morales Jr ML. Use of computed tomography scout film and Hounsfield unit of computed tomography scan in predicting the radio-opacity of urinary calculi in plain kidney, ureter and bladder radiographs. Urol Ann. 2014, 6:218-23. 10.4103\/0974-7796.134270","journal-title":"Urol Ann"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12894-017-0296-1","article-title":"Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study","volume":"17","author":"Gallioli A","year":"2017","unstructured":"Gallioli A, De Lorenzis E, Boeri L, et al.. Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study. BMC Urol. 2017, 17:10.1186\/s12894-017-0296-1","journal-title":"BMC Urol"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1089\/end.2012.0470","article-title":"Absolute Hounsfield unit measurement on noncontrast computed tomography cannot accurately predict struvite stone composition","volume":"27","author":"Marchini GS","year":"2013","unstructured":"Marchini GS, Gebreselassie S, Liu X, Pynadath C, Snyder G, Monga M. Absolute Hounsfield unit measurement on noncontrast computed tomography cannot accurately predict struvite stone composition. J Endourol. 2013, 27:162-7. 10.1089\/end.2012.0470","journal-title":"J Endourol"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06559-0","article-title":"Diagnostic accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from non-uric acid calculi: systematic review and meta-analysis","volume":"30","author":"McGrath TA","year":"2020","unstructured":"McGrath TA, Frank RA, Schieda N, Blew B, Salameh JP, Bossuyt PM, McInnes MD. Diagnostic accuracy of dual-energy computed tomography (DECT) to differentiate uric acid from non-uric acid calculi: systematic review and meta-analysis. Eur Radiol. 2020, 30:2791-801. 10.1007\/s00330-019-06559-0","journal-title":"Eur Radiol"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1089\/end.2013.0524","article-title":"Radiopacity and hounsfield attenuation of cystine urolithiasis: case series and review of the literature","volume":"28","author":"Patel SR","year":"2014","unstructured":"Patel SR, Wagner LE, Lubner MG, Nakada SY. Radiopacity and hounsfield attenuation of cystine urolithiasis: case series and review of the literature. J Endourol. 2014, 28:472-5. 10.1089\/end.2013.0524","journal-title":"J Endourol"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/jcm8020243","article-title":"Predictors of uric acid stones: mean stone density, stone heterogeneity index, and variation coefficient of stone density by single-energy non-contrast computed tomography and urinary pH","volume":"8","author":"Kim JC","year":"2019","unstructured":"Kim JC, Cho KS, Kim DK, Chung DY, Jung HD, Lee JY. Predictors of uric acid stones: mean stone density, stone heterogeneity index, and variation coefficient of stone density by single-energy non-contrast computed tomography and urinary pH. J Clin Med. 2019, 8:10.3390\/jcm8020243","journal-title":"J Clin Med"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00240-022-01333-2","article-title":"The combination of mean and maximum Hounsfield unit allows more accurate prediction of uric acid stones","volume":"50","author":"Qin L","year":"2022","unstructured":"Qin L, Zhou J, Hu W, Zhang H, Tang Y, Li M. The combination of mean and maximum Hounsfield unit allows more accurate prediction of uric acid stones. Urolithiasis. 2022, 50:589-97. 10.1007\/s00240-022-01333-2","journal-title":"Urolithiasis"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5527\/wjn.v3.i4.282","article-title":"Usefulness of Hounsfield unit and density in the assessment and treatment of urinary stones","volume":"3","author":"G\u00fcc\u00fck A","year":"2014","unstructured":"G\u00fcc\u00fck A, Uyet\u00fcrk U. Usefulness of Hounsfield unit and density in the assessment and treatment of urinary stones. World J Nephrol. 2014, 3:282-6. 10.5527\/wjn.v3.i4.282","journal-title":"World J Nephrol"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-07713-3","article-title":"Single-energy CT predicts uric acid stones with accuracy comparable to dual-energy CT - prospective validation of a quantitative method","volume":"31","author":"Jendeberg J","year":"2021","unstructured":"Jendeberg J, Thunberg P, Popiolek M, Lid\u00e9n M. Single-energy CT predicts uric acid stones with accuracy comparable to dual-energy CT - prospective validation of a quantitative method. Eur Radiol. 2021, 31:5980-9. 10.1007\/s00330-021-07713-3","journal-title":"Eur Radiol"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2013.07.012","article-title":"Dual-energy CT for the evaluation of urinary calculi: image interpretation, pitfalls and stone mimics","volume":"68","author":"Jepperson MA","year":"2013","unstructured":"Jepperson MA, Cernigliaro JG, Sella D, Ibrahim E, Thiel DD, Leng S, Haley WE. Dual-energy CT for the evaluation of urinary calculi: image interpretation, pitfalls and stone mimics. Clin Radiol. 2013, 68:707-14. 10.1016\/j.crad.2013.07.012","journal-title":"Clin Radiol"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/jcm11175151","article-title":"Radiomics in urolithiasis: systematic review of current applications, limitations, and future directions","volume":"11","author":"Lim EJ","year":"2022","unstructured":"Lim EJ, Castellani D, So WZ, et al.. Radiomics in urolithiasis: systematic review of current applications, limitations, and future directions. J Clin Med. 2022, 11:10.3390\/jcm11175151","journal-title":"J Clin Med"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00240-023-01405-x","article-title":"A combined model based on CT radiomics and clinical variables to predict uric acid calculi which have a good accuracy","volume":"51","author":"Wang Z","year":"2023","unstructured":"Wang Z, Yang G, Wang X, Cao Y, Jiao W, Niu H. A combined model based on CT radiomics and clinical variables to predict uric acid calculi which have a good accuracy. Urolithiasis. 2023, 51:10.1007\/s00240-023-01405-x","journal-title":"Urolithiasis"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00345-024-04818-4","article-title":"Accurate prediction of pure uric acid urinary stones in clinical context via a combination of radiomics and machine learning","volume":"42","author":"Le BD","year":"2024","unstructured":"Le BD, Nguyen TA, Baek BH, Oh KJ, Park I. Accurate prediction of pure uric acid urinary stones in clinical context via a combination of radiomics and machine learning. World J Urol. 2024, 42:10.1007\/s00345-024-04818-4","journal-title":"World J Urol"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00240-020-01204-8","article-title":"Oral chemolysis is an effective, non-invasive therapy for urinary stones suspected of uric acid content","volume":"48","author":"Tsaturyan A","year":"2020","unstructured":"Tsaturyan A, Bokova E, Bosshard P, Bonny O, Fuster DG, Roth B. Oral chemolysis is an effective, non-invasive therapy for urinary stones suspected of uric acid content. Urolithiasis. 2020, 48:501-7. 10.1007\/s00240-020-01204-8","journal-title":"Urolithiasis"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/390042-the-predictive-accuracy-of-hounsfield-units-and-urinary-ph-in-the-non-invasive-diagnosis-of-radiolucent-urinary-stones","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T07:33:04Z","timestamp":1757403184000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/390042-the-predictive-accuracy-of-hounsfield-units-and-urinary-ph-in-the-non-invasive-diagnosis-of-radiolucent-urinary-stones"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,9]]},"references-count":21,"URL":"https:\/\/doi.org\/10.7759\/cureus.91878","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9,9]]}}}