X. Qian, J. Wan, J. Xu, C. Liu, M. Zhong, J. Zhang, Y. Zhang, S. Wang, Epidemiological Trends of Urolithiasis at the Global, Regional, and National Levels: A Population-Based Study, Int. J. Clin. Pract. 2022 (2022) 6807203. https://doi.org/https://doi.org/10.1155/2022/6807203.

Article  PubMed  PubMed Central  Google Scholar 

C.D. Scales, A.C. Smith, J.M. Hanley, C.S. Saigal, Prevalence of kidney stones in the United States, Eur. Urol. 62 (2012) 160–165. https://doi.org/https://doi.org/10.1016/j.eururo.2012.03.052.

Article  PubMed  PubMed Central  Google Scholar 

K.K. Stamatelou, M.E. Francis, C.A. Jones, L.M. Nyberg, G.C. Curhan, Time trends in reported prevalence of kidney stones in the United States: 1976-1994, Kidney Int. 63 (2003) 1817–1823. https://doi.org/https://doi.org/10.1046/j.1523-1755.2003.00917.x.

Article  PubMed  Google Scholar 

M. Schoenthaler, U.A. Fichtner, M. Boeker, D. Zoeller, H. Binder, H.-U. Prokosch, F. Praus, T. Walther, M. Glienke, P. Horki, C. Gratzke, E. Farin-Glattacker, A nationwide registry for recurrent urolithiasis in the upper urinary tract – The RECUR study protocol, BMC Health Serv. Res. 22 (2022) 1060. https://doi.org/https://doi.org/10.1186/s12913-022-08375-7.

Article  PubMed  PubMed Central  Google Scholar 

S.A. Setia, P.L. Massie, M.J. Epsten, A. Sharma, L. Fogg, E.E. Cherullo, A.K. Chow, Renal Forniceal Rupture in the Setting of Obstructing Ureteral Stones: An Analysis of Stone Characterization and Urologic Intervention Pattern, J. Endourol. 34 (2020) 373–378. https://doi.org/https://doi.org/10.1089/end.2019.0706.

Article  PubMed  Google Scholar 

C. Türk, A. Petřík, K. Sarica, C. Seitz, A. Skolarikos, M. Straub, T. Knoll, EAU Guidelines on Diagnosis and Conservative Management of Urolithiasis, Eur. Urol. 69 (2016) 468–474. https://doi.org/https://doi.org/10.1016/j.eururo.2015.07.040.

Article  PubMed  Google Scholar 

C. Fisang, R. Anding, S.C. Müller, S. Latz, N. Laube, Urolithiasis - Interdisziplinäre Herausforderung in Diagnostik, Therapie und Metaphylaxe, Dtsch. Arztebl. Int. 112 (2015) 83–91. https://doi.org/https://doi.org/10.3238/arztebl.2015.0083.

Article  PubMed  PubMed Central  Google Scholar 

F. Jungmann, B. Kämpgen, P. Mildenberger, I. Tsaur, T. Jorg, C. Düber, P. Mildenberger, R. Kloeckner, Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis, Int. J. Med. Inform. 137 (2020) 104106. https://doi.org/10.1016/j.ijmedinf.2020.104106.

T. Jorg, J.C. Heckmann, P. Mildenberger, F. Hahn, C. Düber, P. Mildenberger, R. Kloeckner, F. Jungmann, Structured reporting of CT scans of patients with trauma leads to faster, more detailed diagnoses: An experimental study, Eur. J. Radiol. 144 (2021) 109954. https://doi.org/10.1016/j.ejrad.2021.109954.

F. Schoeppe, W.H. Sommer, D. Nörenberg, M. Verbeek, C. Bogner, C.B. Westphalen, M. Dreyling, E.J. Rummeny, A.A. Fingerle, Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma, Eur. Radiol. 28 (2018) 3702–3709. https://doi.org/https://doi.org/10.1007/s00330-018-5340-3.

Article  PubMed  Google Scholar 

O.R. Brook, A. Brook, C.M. Vollmer, T.S. Kent, HEALTH POLICY AND PRACTICE: Structured Reporting of Multiphasic CT for Pancreatic Cancer Brook et al, Radiology. 274 (2015) 464–472. https://doi.org/https://doi.org/10.1148/radiol.14140206.

Article  PubMed  Google Scholar 

B.O. Sabel, J.L. Plum, N. Kneidinger, G. Leuschner, L. Koletzko, B. Raziorrouh, R. Schinner, W.G. Kunz, F. Schoeppe, K.M. Thierfelder, W.H. Sommer, F.G. Meinel, Structured reporting of CT examinations in acute pulmonary embolism, J. Cardiovasc. Comput. Tomogr. 11 (2017) 188–195. https://doi.org/https://doi.org/10.1016/j.jcct.2017.02.008.

Article  PubMed  Google Scholar 

T. Jorg, M.C. Halfmann, G. Arnhold, D. Pinto dos Santos, R. Kloeckner, C. Düber, P. Mildenberger, F. Jungmann, L. Müller, Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience, Insights Imaging. 14 (2023) 61. https://doi.org/https://doi.org/10.1186/s13244-023-01408-7.

Article  PubMed  PubMed Central  Google Scholar 

R.R. Haroun, M.M. Al-Hihi, H.H. Abujudeh, The Pros and Cons of Structured Reports, Curr. Radiol. Rep. 7 (2019) 1–4. https://doi.org/https://doi.org/10.1007/s40134-019-0342-8.

Article  Google Scholar 

C.L. Sistrom, Conceptual approach for the design of radiology reporting interfaces: The talking template, J. Digit. Imaging. 18 (2005) 176–187. https://doi.org/https://doi.org/10.1007/s10278-005-5167-8.

Article  PubMed  PubMed Central  Google Scholar 

L.R. Margolies, G. Pandey, E.R. Horowitz, D.S. Mendelson, Breast imaging in the era of big data: Structured reporting and data mining, Am. J. Roentgenol. 206 (2016) 259–264. https://doi.org/https://doi.org/10.2214/AJR.15.15396.

Article  Google Scholar 

D. Pinto dos Santos, B. Baeßler, Big data, artificial intelligence, and structured reporting, Eur. Radiol. Exp. 2 (2018) 10–14. https://doi.org/https://doi.org/10.1186/s41747-018-0071-4.

Article  Google Scholar 

M.A. Fink, V.L. Mayer, T. Schneider, C. Seibold, R. Stiefelhagen, J. Kleesiek, T.F. Weber, H.U. Kauczor, CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism, Radiology. 302 (2022) 175–184. https://doi.org/https://doi.org/10.1148/radiol.2021211013.

Article  PubMed  Google Scholar 

D.P. Dos Santos, S. Scheibl, G. Arnhold, A. Maehringer-Kunz, C. Düber, P. Mildenberger, R. Kloeckner, A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case, Br. J. Radiol. 91 (2018). https://doi.org/10.1259/bjr.20170564.

J. Jendeberg, H. Geijer, M. Alshamari, B. Cierzniak, M. Lidén, Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage, Eur. Radiol. 27 (2017) 4775–4785. https://doi.org/https://doi.org/10.1007/s00330-017-4852-6.

Article  PubMed  PubMed Central  Google Scholar 

Y.J. Moon, H.W. Kim, J.B. Kim, H.J. Kim, Y.S. Chang, Distribution of ureteral stones and factors affecting their location and expulsion in patients with renal colic, Korean J. Urol. 56 (2015) 717–721. https://doi.org/https://doi.org/10.4111/kju.2015.56.10.717.

Article  Google Scholar 

B.H. Eisner, A. Reese, S. Sheth, M.L. Stoller, Ureteral Stone Location at Emergency Room Presentation With Colic, J. Urol. 182 (2009) 165–168. https://doi.org/https://doi.org/10.1016/j.juro.2009.02.131.

Article  PubMed  Google Scholar 

J.A. Antonelli, N.M. Maalouf, M.S. Pearle, Y. Lotan, Use of the National Health and Nutrition Examination Survey to Calculate the Impact of Obesity and Diabetes on Cost and Prevalence of Urolithiasis in 2030, Eur. Urol. 66 (2014) 724–729. https://doi.org/https://doi.org/10.1016/j.eururo.2014.06.036.

Article  PubMed  PubMed Central  Google Scholar 

D. Pinto dos Santos, G. Klos, R. Kloeckner, R. Oberle, C. Dueber, P. Mildenberger, Development of an IHE MRRT-compliant open-source web-based reporting platform, Eur. Radiol. 27 (2017) 424–430. https://doi.org/https://doi.org/10.1007/s00330-016-4344-0.

Article  PubMed  Google Scholar 

B.H. Eisner, R. Pedro, S. Namasivayam, A. Kambadakone, D. V. Sahani, S.P. Dretler, M. Monga, Differences in Stone Size and Ureteral Dilation Between Obstructing Proximal and Distal Ureteral Calculi, Urology. 72 (2008) 517–520. https://doi.org/https://doi.org/10.1016/j.urology.2008.03.034.

Article  PubMed  Google Scholar 

L.C. Adams, D. Truhn, F. Busch, A. Kader, S.M. Niehues, M.R. Makowski, K.K. Bressem, Leveraging GPT-4 for Post Hoc Transformation of Free-Text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study, Radiology. (2023). https://doi.org/https://doi.org/10.1148/radiol.230725.

Article  PubMed  Google Scholar 

A. Casey, E. Davidson, M. Poon, H. Dong, D. Duma, A. Grivas, C. Grover, V. Suárez-Paniagua, R. Tobin, W. Whiteley, H. Wu, B. Alex, A systematic review of natural language processing applied to radiology reports, BMC Med. Inform. Decis. Mak. 21 (2021). https://doi.org/10.1186/s12911-021-01533-7.

H. Fukuhara, O. Ichiyanagi, S. Midorikawa, H. Kakizaki, H. Kaneko, N. Tsuchiya, Internal validation of a scoring system to evaluate the probability of ureteral stones: The CHOKAI score, Am. J. Emerg. Med. 35 (2017) 1859–1866. https://doi.org/https://doi.org/10.1016/j.ajem.2017.06.023.

Article  PubMed  Google Scholar 

H.C. Chang, D.T. Tzou, M. Usawachintachit, B.D. Duty, R.S. Hsi, J.D. Harper, M.D. Sorensen, M.L. Stoller, R.L. Sur, T. Chi, Rationale and design of the registry for stones of the kidney and Ureter (ReSKU): A prospective observational registry to study the natural history of urolithiasis patients, J. Endourol. 30 (2016) 1332–1338. https://doi.org/https://doi.org/10.1089/end.2016.0648.

Article  PubMed  PubMed Central  Google Scholar 

S.H. Lee, T. Choi, J. Choi, K.H. Yoo, Differences between Risk Factors for Sepsis and Septic Shock in Obstructive Urolithiasis, J. Korean Med. Sci. 35 (2020). https://doi.org/10.3346/jkms.2020.35.e359.