Laura Zuluaga, Jewel Bamby, Kennedy E Okhawere, Burak Ucpinar, Shirin Razdan, Ketan K Badani
{"title":"通过人工智能评估机器人辅助根治性前列腺切除术(RARP)的手术变异性。","authors":"Laura Zuluaga, Jewel Bamby, Kennedy E Okhawere, Burak Ucpinar, Shirin Razdan, Ketan K Badani","doi":"10.1007/s11701-025-02225-4","DOIUrl":null,"url":null,"abstract":"<p><p>Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in urology. Using artificial intelligence (AI), surgical steps and practices can be assessed and validated through surgical video, and connected to patient outcomes. This information can potentially change clinical outcomes and improve the quality of care. 48. We conducted an analysis of 883 RARP cases from 2017 to 2023, across six different institutions. A surgical intelligence platform (Theator Inc., Palo Alto, CA) was employed during all surgeries, and used to identify six surgical practices: bladder neck suture, leak test, Rocco stitch, standard dorsal venous complex (DVC) ligation (S-DVC), delayed DVC ligation (D-DVC), and Retzius-space reconstruction. We analyzed descriptive statistics, including frequencies and measures of central tendency. Categorical variables were presented using frequency and percentage. Continuous variables were presented with median and interquartile range. 87. Institution A had the highest number of cases (n = 675, 76.4%), followed by Institution B (n = 127, 14.4%), Institution C (n = 48, 5.4%), Institution D (n = 20, 2.3%), Institution E (n = 9, 1.0%), and Institution F (n = 4, 0.5%). The mean surgical duration across institutions was 163.4 min ± 56.6. The surgical intelligence platform identified the following median rates of surgical practice adoption across institutions: bladder neck suture (32.9%, range: 50-0%), leak test (92.9%, range: 95.8-77.7%), Rocco stitch (18.3%, range: 75-0%), S-DVC ligation (40.2%, range: 100-0%), D-DVC ligation (87.3%, range: 98.4-11.1%), and Retzius-space reconstruction (0%, range: 5-0%). 103. This study demonstrates how surgical intelligence is utilized to assess different key surgical steps in RARP videos, enabling objective, accurate measurement of variability in practices among institutions. Surgical intelligence increases the availability of surgical metrics across institutions and surgeons and facilitates mitigation of adverse effects by informing the usage of best practices, potentially leading to better clinical outcomes and a higher quality of care. 72.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"99"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing operative variability in robot-assisted radical prostatectomy (RARP) through AI.\",\"authors\":\"Laura Zuluaga, Jewel Bamby, Kennedy E Okhawere, Burak Ucpinar, Shirin Razdan, Ketan K Badani\",\"doi\":\"10.1007/s11701-025-02225-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in urology. Using artificial intelligence (AI), surgical steps and practices can be assessed and validated through surgical video, and connected to patient outcomes. This information can potentially change clinical outcomes and improve the quality of care. 48. We conducted an analysis of 883 RARP cases from 2017 to 2023, across six different institutions. A surgical intelligence platform (Theator Inc., Palo Alto, CA) was employed during all surgeries, and used to identify six surgical practices: bladder neck suture, leak test, Rocco stitch, standard dorsal venous complex (DVC) ligation (S-DVC), delayed DVC ligation (D-DVC), and Retzius-space reconstruction. We analyzed descriptive statistics, including frequencies and measures of central tendency. Categorical variables were presented using frequency and percentage. Continuous variables were presented with median and interquartile range. 87. Institution A had the highest number of cases (n = 675, 76.4%), followed by Institution B (n = 127, 14.4%), Institution C (n = 48, 5.4%), Institution D (n = 20, 2.3%), Institution E (n = 9, 1.0%), and Institution F (n = 4, 0.5%). The mean surgical duration across institutions was 163.4 min ± 56.6. The surgical intelligence platform identified the following median rates of surgical practice adoption across institutions: bladder neck suture (32.9%, range: 50-0%), leak test (92.9%, range: 95.8-77.7%), Rocco stitch (18.3%, range: 75-0%), S-DVC ligation (40.2%, range: 100-0%), D-DVC ligation (87.3%, range: 98.4-11.1%), and Retzius-space reconstruction (0%, range: 5-0%). 103. This study demonstrates how surgical intelligence is utilized to assess different key surgical steps in RARP videos, enabling objective, accurate measurement of variability in practices among institutions. Surgical intelligence increases the availability of surgical metrics across institutions and surgeons and facilitates mitigation of adverse effects by informing the usage of best practices, potentially leading to better clinical outcomes and a higher quality of care. 72.</p>\",\"PeriodicalId\":47616,\"journal\":{\"name\":\"Journal of Robotic Surgery\",\"volume\":\"19 1\",\"pages\":\"99\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Robotic Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11701-025-02225-4\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Robotic Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11701-025-02225-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Assessing operative variability in robot-assisted radical prostatectomy (RARP) through AI.
Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in urology. Using artificial intelligence (AI), surgical steps and practices can be assessed and validated through surgical video, and connected to patient outcomes. This information can potentially change clinical outcomes and improve the quality of care. 48. We conducted an analysis of 883 RARP cases from 2017 to 2023, across six different institutions. A surgical intelligence platform (Theator Inc., Palo Alto, CA) was employed during all surgeries, and used to identify six surgical practices: bladder neck suture, leak test, Rocco stitch, standard dorsal venous complex (DVC) ligation (S-DVC), delayed DVC ligation (D-DVC), and Retzius-space reconstruction. We analyzed descriptive statistics, including frequencies and measures of central tendency. Categorical variables were presented using frequency and percentage. Continuous variables were presented with median and interquartile range. 87. Institution A had the highest number of cases (n = 675, 76.4%), followed by Institution B (n = 127, 14.4%), Institution C (n = 48, 5.4%), Institution D (n = 20, 2.3%), Institution E (n = 9, 1.0%), and Institution F (n = 4, 0.5%). The mean surgical duration across institutions was 163.4 min ± 56.6. The surgical intelligence platform identified the following median rates of surgical practice adoption across institutions: bladder neck suture (32.9%, range: 50-0%), leak test (92.9%, range: 95.8-77.7%), Rocco stitch (18.3%, range: 75-0%), S-DVC ligation (40.2%, range: 100-0%), D-DVC ligation (87.3%, range: 98.4-11.1%), and Retzius-space reconstruction (0%, range: 5-0%). 103. This study demonstrates how surgical intelligence is utilized to assess different key surgical steps in RARP videos, enabling objective, accurate measurement of variability in practices among institutions. Surgical intelligence increases the availability of surgical metrics across institutions and surgeons and facilitates mitigation of adverse effects by informing the usage of best practices, potentially leading to better clinical outcomes and a higher quality of care. 72.
期刊介绍:
The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.