Stone at the same location for 2 months predicts impacted stones and stone-free status after shock wave lithotripsy for ureteral stones: A Funabashi clinic expert study

被引:1
作者
Nozumi, Kazuyoshi [1 ]
Sakamoto, Shinichi [1 ,2 ]
Zhao, Xue [2 ]
Pae, Sangjon [1 ,2 ]
Tamura, Takaaki [1 ,2 ]
Taguchi, Kazumi [3 ]
Yamada, Yasutaka [2 ]
Goto, Yusuke [4 ]
Imamura, Yusuke [2 ]
Sazuka, Tomokazu [2 ]
Awa, Yusuke [1 ]
Yasui, Takahiro [3 ]
Nozumi, Kuniyoshi [1 ]
Naya, Yukio [4 ]
Akakura, Koichiro [5 ]
Ichikawa, Tomohiko [2 ]
机构
[1] Funabashi Clin, Funabashi, Chiba, Japan
[2] Chiba Univ, Grad Sch Med, Dept Urol, Chiba 2608677, Japan
[3] Nagoya City Univ, Grad Sch Med Sci, Dept Nephro Urol, Nagoya, Japan
[4] Teikyo Univ, Chiba Med Ctr, Dept Urol, Chiba, Japan
[5] Mishima Gen Hosp, Japan Community Hlth Care Org, Dept Urol, Shizuoka, Japan
关键词
impacted stone; shock wave lithotripsy (SWL); stone at the same location (SSL); stone-free status (SFS); ureteral stones; COMPUTED-TOMOGRAPHY; SKIN; EFFICACY; DISTANCE; OUTCOMES; DENSITY; RATES; HEAD;
D O I
10.1111/iju.15662
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
ObjectivesTo evaluate the success rate of shock wave lithotripsy and identify predictors of stone-free status after shock wave lithotripsy for ureteral stones, focusing on the impact of stones remaining in the same location for 2 months (SSL2).MethodsA retrospective analysis was conducted on 501 patients with ureteral stones treated with shock wave lithotripsy by expert surgeons (each with over 1000 shock wave lithotripsy operations) at a single Japanese institution in 2020. Logistic regression analysis identified predictors of stone-free status, including stone length, skin-to-stone distance, stone density (Hounsfield Unit), Hounsfield Unit above/below the stone, stone position, and duration of stone at the same location (SSL2).ResultsNinety patients were excluded, resulting in 411 patients undergoing an average of 1.15 +/- 0.4 sessions (range: 1-4). 344 patients (83.7%) achieved stone-free status after a single session. The overall 1-month stone-free rate was 71.4%, and the 3-month stone-free rate was 88.8%. Stone at the same location >= 2 months (SSL2) was an independent predictor of 1-month stone-free status (odds ratio = 2.25, 95%CI: 1.10-4.57, p = 0.025), while mean stone density >= 813 HU was an independent predictor of 3-month stone-free status (odds ratio = 2.66, 95% CI: 1.10-6.45, p = 0.03).ConclusionStone at the same location >= 2 months (SSL2) was a potent predictor of 1-month and 3-month stone-free status. This condition is associated with impacted stones and can aid in decision-making for shock wave lithotripsy treatment selection.
引用
收藏
页码:371 / 378
页数:8
相关论文
共 23 条
  • [11] The use of a ureteral access sheath does not improve stone-free rate after ureteroscopy for upper urinary tract stones
    Berquet, Gaetan
    Prunel, Paul
    Verhoest, Gregory
    Mathieu, Romain
    Bensalah, Karim
    WORLD JOURNAL OF UROLOGY, 2014, 32 (01) : 229 - 232
  • [12] Reinforcement of the Triple D score with simple addition of the intrarenal location for the prediction of the stone-free rate after shockwave lithotripsy for renal stones 10-20mm in diameter
    Ichiyanagi, Osamu
    Fukuhara, Hiroki
    Kurokawa, Masayuki
    Izumi, Takuji
    Suzuki, Hitoshi
    Naito, Sei
    Nishida, Hayato
    Kato, Tomoyuki
    Tsuchiya, Norihiko
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2019, 51 (02) : 239 - 245
  • [13] Clinical Nomograms to Predict Stone-Free Rates after Shock-Wave Lithotripsy: Development and Internal-Validation
    Kim, Jung Kwon
    Ha, Seung Beom
    Jeon, Chan Hoo
    Oh, Jong Jin
    Cho, Sung Yong
    Oh, Seung-June
    Kim, Hyeon Hoe
    Jeong, Chang Wook
    PLOS ONE, 2016, 11 (02):
  • [14] AI prediction of extracorporeal shock wave lithotripsy outcomes for ureteral stones by machine learning-based analysis with a variety of stone and patient characteristics
    Nakamae, Yukako
    Deguchi, Ryusuke
    Nemoto, Mitsutaka
    Kimura, Yuichi
    Yamashita, Shimpei
    Kohjimoto, Yasuo
    Hara, Isao
    UROLITHIASIS, 2023, 52 (01)
  • [15] Factors Determining Stone-free Rate in Shock Wave Lithotripsy Using Standard Focus of Storz Modulith SLX-F2 Lithotripter
    Elkoushy, Mohamed A.
    Hassan, Jacob A.
    Morehouse, Douglas D.
    Anidjar, Maurice
    Andonian, Sero
    UROLOGY, 2011, 78 (04) : 759 - 763
  • [16] Predictions of outcomes of renal stones after extracorporeal shock wave lithotripsy from stone characteristics determined by unenhanced helical computed tomography: a multivariate analysis
    Wang, LJ
    Wong, YC
    Chuang, CK
    Chu, SH
    Chen, CS
    See, LC
    Chiang, YJ
    EUROPEAN RADIOLOGY, 2005, 15 (11) : 2238 - 2243
  • [17] Predictions of outcomes of renal stones after extracorporeal shock wave lithotripsy from stone characteristics determined by unenhanced helical computed tomography: a multivariate analysis
    Li-Jen Wang
    Yon-Cheong Wong
    Cheng-Keng Chuang
    Sheng-Hsien Chu
    Chih-Shou Chen
    Lai-Chu See
    Yang-Jen Chiang
    European Radiology, 2005, 15 : 2238 - 2243
  • [18] Predicting Stone-free Status based on Quadruple-D and Triple-D Scores after Extracorporeal Shock-Wave Lithotripsy and Comparing With Broad-Spectrum Population
    Coskun, Alper
    Can, Utku
    AKTUELLE UROLOGIE, 2024,
  • [19] CT-based AI model for predicting therapeutic outcomes in ureteral stones after single extracorporeal shock wave lithotripsy through a cohort study
    Yang, Huancheng
    Wu, Xiang
    Liu, Weihao
    Yang, Zhong
    Wang, Tianyu
    You, Weifan
    Ye, Baiwei
    Wu, Bingni
    Wu, Kai
    Zeng, Haoyang
    Liu, Hanlin
    INTERNATIONAL JOURNAL OF SURGERY, 2024, 110 (10) : 6601 - 6609
  • [20] Impact of Colic Pain as a Significant Factor for Predicting the Stone Free Rate of One-Session Shock Wave Lithotripsy for Treating Ureter Stones: A Bayesian Logistic Regression Model Analysis
    Chung, Doo Yong
    Cho, Kang Su
    Lee, Dae Hun
    Han, Jang Hee
    Kang, Dong Hyuk
    Do Jung, Hae
    Kown, Jong Kyou
    Ham, Won Sik
    Choi, Young Deuk
    Lee, Joo Yong
    PLOS ONE, 2015, 10 (04):