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2. MP30-12 ARTIFICIAL INTELLIGENCE CONVOLUTIONAL NEURAL NETWORK FOR EFFICIENT AND ACCURATE CT-BASED STONE VOLUME DETERMINATION

Author

Cumpanas, Andrei D., primary, Chantaduly, Chanon, additional, Morgan, Kalon L., additional, Shao, Wei, additional, Tran, Candice M., additional, Wu, Yi Xi, additional, McCormac, Amanda, additional, Tsai, Jacob C., additional, Villaroel, Jaime Altamirano, additional, Tano, Zachary E., additional, Gao, Bruce, additional, Patel, Roshan M., additional, Jiang, Pengbo, additional, Chang, Peter, additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2024
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3. MP73-04 SURGICAL FORCE—CORRELATING SCIENCE WITH PRACTICE: A STUDY OF THE FORCE EXERTED BY UROLOGISTS DURING URETERAL ACCESS SHEATH PLACEMENT

Author

Lavasani, Seyed Amiryaghoub M., primary, Morgan, Kalon L., additional, Rojhani, Allen, additional, Cumpanas, Andrei D., additional, Bhatt, Rohit, additional, Gorgen, Antonio R. H., additional, Vo, Kelvin, additional, McCormac, Amanda, additional, Piedras, Paul, additional, Kar, Nina, additional, Hernandez, Mariah C., additional, Vu, Minh-Chau, additional, Saadat, Seyedamirvala, additional, Abdel-Aziz, Ahmad, additional, Altamirano-Villarroel, Jaime, additional, Sharifi, Seyed Hossein H., additional, Gao, Bruce M., additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2024
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4. MP30-11 IMMERSIVE VIRTUAL REALITY FOR PERCUTANEOUS NEPHROLITHOTOMY (PCNL): “THE MORE YOU KNOW, THE SAFER AND MORE EFFECTIVE THE OUTCOME”

Author

Cumpanas, Andrei D., primary, Morgan, Kalon L., additional, Hernandez, Mariah C., additional, McCormac, Amanda, additional, Tsai, Jacob C., additional, Villaroel, Jaime Altamirano, additional, Tran, Candice M., additional, Gao, Bruce, additional, Tano, Zachary E., additional, Patel, Roshan M., additional, Jiang, Pengbo, additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2024
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5. Efficient and Accurate CT-based Stone Volume Determination: Development of an Automated Artificial Intelligence Algorithm

Author

Cumpanas, Andrei D., primary, Chantaduly, Chanon, additional, Morgan, Kalon L., additional, Shao, Wei, additional, Gorgen, Antonio R.H., additional, Tran, Candices Minh, additional, Wu, Yi Xi, additional, McCormac, Amanda, additional, Tano, Zachary E., additional, Patel, Roshan M., additional, Chang, Peter, additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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6. Surgical Force: Initial Study and Clinical Implications in the Assessment of Ureteral Access Sheath Induced Injury.

Author

Lavasani, Seyed Amiryaghoub M., Rojhani, Allen, Cumpanas, Andrei D., Osann, Kathryn, Morgan, Kalon L., Hernandez, Mariah C., McCormac, Amanda, Piedras, Paul, Vo, Kelvin, Gorgen, Antonio R. H., Sharifi, Seyed Hossein H., Gao, Bruce M., Tano, Zachary E., Patel, Roshan M., Landman, Jaime, and Clayman, Ralph V.

Subjects
MALE models, WOUNDS & injuries, CHI-squared test, LOGISTIC regression analysis, UROLOGISTS
Abstract

Purpose: Ureteral access sheaths (UAS) pose the risk of severe ureteral injury. Our prior studies revealed forces ≤6 Newtons (N) prevent ureteral injury. Accordingly, we sought to define the force urologists and residents in training typically use when placing a UAS. Materials and Methods: Among urologists and urology residents attending two annual urological conferences in 2022, 121 individuals were recruited for the study. Participants inserted 12F, 14F, and 16F UAS into a male genitourinary model containing a concealed force sensor; they also provided demographic information. Analysis was completed using t-tests and Chi-square tests to identify group differences when passing a 16F sheath UAS. Participant traits associated with surpassing or remaining below a minimal force threshold were also explored through polychotomous logistic regression. Results: Participant force distributions were as follows: ≤4N (29%), >6N (45%), and >8N (32%). More years of practice were significantly associated with exerting >6N relative to forces between 4N and 6N; results for >8N relative to 4N and 8N were similar. Compared to high-volume ureteroscopists (those performing >20 ureteroscopies/month), physicians performing ≤20 ureteroscopies/month were significantly less likely to exert forces ≤4N (p = 0.017 and p = 0.041). Of those surpassing 6N and 8N, 15% and 18%, respectively, were high-volume ureteroscopists. Conclusions: Despite years of practice or volume of monthly ureteroscopic cases performed, most urologists failed to pass 16F access sheaths within the ideal range of 4N to 6N (74% of participants) or within a predefined safe range of 4N to 8N (61% of participants). [ABSTRACT FROM AUTHOR]

Published
2024
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7. MP05-18 FLUID TEMPERATURE EFFECT ON SUPERPULSE THULIUM FIBER LASER STONE ABLATION

Author

Morgan, Kalon L., primary, Cumpanas, Andrei D., additional, Katta, Nittesh, additional, Bhatt, Rohit, additional, Gorgen, Antonio R. H., additional, Rojhani, Allen, additional, Piedras, Paul, additional, Lavasani, Seyed Amiryaghoub, additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Milner, Thomas, additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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8. MP64-02 A PILOT STUDY ON THE DARK MATTER OF CLEAR CELL RENAL CELL CARCINOMA: THE ROLE OF THE URINARY MICROBIOME

Author

Cumpanas, Andrei D., primary, Bhatt, Rohit, additional, Wu, Yi XI, additional, Brevik, Andrew, additional, Morgan, Kalon L., additional, Rojhani, Allen, additional, Gorgen, ANTONIO R. H., additional, Xie, Lilian, additional, Karani, Rajiv, additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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9. MP09-11 THE APPLICATION OF ARTIFICIAL INTELLIGENCE FOR RENAL STONE VOLUME DETERMINATION: READY FOR PRIME TIME?

Author

Cumpanas, Andrei D., primary, Morgan, Kalon L., additional, Chantaduly, Chanon, additional, Bhatt, Rohit, additional, Gorgen, Antonio R. H., additional, Rojhani, Allen, additional, McCormac, Amanda, additional, Tran, Candice Minh, additional, Piedras, Paul, additional, Lavasani, Seyed Amiryaghoub, additional, Peta, Akhil, additional, Brevick, Andrew, additional, Xie, Lilian, additional, Karani, Rajiv, additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Landman, Jaime, additional, Chang, Peter, additional, and Clayman, Ralph V., additional

Published
2023
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10. MP09-12 IMMERSIVE VIRTUAL REALITY (IVR) FOR PERCUTANEOUS NEPHROLITHOTOMY: THE MORE YOU KNOW, THE BETTER THE OUTCOME

Author

Cumpanas, Andrei D., primary, Morgan, Kalon L., additional, Gorgen, Antonio R. H., additional, Rojhani, Allen, additional, Bhatt, Rohit, additional, Tran, Candice Minh, additional, McCormac, Amanda, additional, Vo, Kelvin, additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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11. MP16-10 EFFECTS OF 24-HOUR URINARY CALCIUM OXALATE SUPERSATURATION LEVELS ON STONE GROWTH AND NEW STONE FORMATION: WHEN TO WORRY, WHEN TO NOT?

Author

Gorgen, Antonio R. H., primary, Morgan, Kalon L., additional, Cumpanas, Andrei D., additional, Vu, Minh-Chau, additional, Liu, Jenny, additional, Lavasani, Seyed Amiryaghoub M., additional, Vo, Kelvin, additional, Rojhani, Allen, additional, Tano, Zachary E., additional, Ali, Sohrab N., additional, Jiang, Pengbo, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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12. Porcine Bladder Replacement with a Bilayer Silk Fibroin Enhanced Prosthetic Reservoir: A Feasibility Study

Author

Jiang, Pengbo, primary, Ali, Sohrab N., additional, Arada, Raphael B., additional, Peta, Akhil, additional, Brevik, Andrew, additional, Ayad, Maged, additional, Shin, Andrew, additional, Morgan, Kalon L., additional, Larson, Krista, additional, Larson, Erik, additional, Gundogdu, Gokhan, additional, Tapiero, Shlomi, additional, Farzaneh, Ted, additional, Patel, Roshan M., additional, Mauney, Joshua, additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2023
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13. Contributors

Author

Patel︎, Roshan M., Landman, Jaime, Humphrey, Peter A., Khoury, Antoine, Kalantar-Zadeh, Kamyar, Abi-Jaoudeh︎, Nadine, Afyouni︎, Andrew Shea, Ahdoot︎, Rebecca, Ahlering︎, Thomas E., Ali︎, Sohrab Naushad, Barnard︎, John, Basilius︎, Jacob, Boswell︎, Timothy, Brandes︎, Steven, Chai︎, Toby C., Chen︎, Felix Victor, Chuang︎, Kai-wen, Chughtai︎, Bilal, Clayman︎, Ralph V., Corbett, Christopher, Cumpanas︎, Andrei Dragos, Dai, Jessica Chenxi, Daneshvar︎, Michael, Das, Akhil, Ellison︎, David H., Eun︎, Daniel D., Gin, Greg, Goldman︎, Howard Brian, Gorgen, Antonio Rebello Horta, Gorin︎, Michael A., Hannah︎, Ramy M., Huang, Erica, Huen, Kathy, Jang︎, Alex, Jiang︎, Daniel, Jiang︎, Pengbo, Kabutey︎, Nii-Kabu, Kalantar-Zadeh︎, Kamyar, Kaplan︎, Steven, Katrivesis︎, James, Kerr︎, Preston S., Khoury︎, Tony, Krishnan︎, Naveen, Laster︎, Marciana, Lau︎, Wei Ling, Lay︎, Aaron, Lee︎, David I., Morgan︎, Kalon L., Nguyen︎, Catherine, Nguyen︎, Tuan Thanh, Nickel︎, J. Curtis, O’Leary︎, Mitchell, Park︎, Harold S., Pearle︎, Margaret S., Perincheri︎, Sudhir, Rhee︎, Connie, Rojhani︎, Allen, Stephany︎, Heidi, Sy︎, John, Sze︎, Christina, Tano︎, Zachary E., Tantisattamo︎, Ekamol, Tran︎, Joshua, Tu︎, Duong, Turek, Paul J., Wehbi︎, Elias, Wikenheiser︎, Jamie, Williamson︎, Sarah Holzman, Xu︎, Perry, and Zillioux︎, Jacqueline

Published
2025
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14. Evaluation of Renal Function and Stent Durability Following Resonance Stent Placement for Benign Disease.

Author

Bhatt, Rohit, Vo, Kelvin, Cumpanas, Andrei D., Morgan, Kalon L., Shin, Andrew, Ali, Sohrab N., Rojhani, Allen, Peta, Akhil, Brevik, Andrew, Tano, Zachary E., Jiang, Pengbo, Patel, Roshan M., Clayman, Ralph V., and Landman, Jaime

Subjects
KIDNEY physiology, KIDNEY diseases, URETERIC obstruction, LASER lithotripsy, GLOMERULAR filtration rate, RESONANCE
Abstract

Introduction: The metal-based Resonance stent (RS) has traditionally been placed in patients with malignant ureteral obstruction; as such, the long-term utility of RS among patients with benign ureteral obstruction (BUO) remains underinvestigated. Methods: We retrospectively reviewed our database for patients with BUO who underwent RS placement between 2010 and 2020. The impact of chronic RS placement on renal function was evaluated by estimated serum creatinine-based glomerular filtration rate (eGFR), furosemide renal scan, and CT-based renal parenchymal volume measurement. The number of and reason for RS stent exchanges during the follow-up period, incidence of encrustation, and the average indwell time were recorded. A cost analysis of placing the RS vs a polymeric stent was performed. Results: Among 43 RS patients with BUO, at a mean follow-up of 26 months, there was no change in eGFR (p = 0.99), parenchymal volume (p = 0.44), or split renal function of the stent-bearing side on renal scan (p = 0.48). The mean RS indwell time was 9.7 months. Eleven patients (26%) underwent premature stent replacement (6 cases) or removal (5 cases). Stents in 9 patients (32%) were encrusted, of which 4 (44%) required laser lithotripsy. Overall, 25 patients (58%) and 12 patients (28%) had a mean stent indwell time of ≥6 months and ≥12 months, respectively. Placing an RS resulted in a 52%, 37%, and 5.6% cost reduction compared with a regular polymeric stent placement, where it was exchanged every 6, 4, or 3 months, respectively. Conclusions: RS deployment in the patient with a BUO results in cost-effective maintenance of renal function and of renal parenchymal volume at a mean follow-up of 2 years; however, only 28% of patients fulfilled the 1-year criterion for RS indwell time. [ABSTRACT FROM AUTHOR]

Published
2023
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16. MP32-07 THERMAL EFFECTS OF THE SUPER-PULSE THULIUM FIBER LASER DURING URETERAL STONE LASER LITHOTRIPSY: AN IN-VIVO PORCINE STUDY

Author

Morgan, Kalon L., primary, Jiang, Pengbo, additional, Peta, Akhil, additional, Ayad, Maged, additional, Bhatt, Rohit, additional, Brevik, Andrew, additional, Larson, Krista, additional, Okhunov, Zhamshid, additional, Farzeneh, Ted, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2022
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17. MP33-02 AUTOMATED STONE VOLUME DETERMINATION: TRAINING AN ARTIFICIALLY INTELLIGENT ALGORITHM TO SEGMENT KIDNEY STONES ON CT AND CALCULATE 3D VOLUME

Author

Morgan, Kalon L., primary, Bhatt, Rohit, additional, Soltanzadeh Zarandi, Sina, additional, Vo, Kelvin, additional, Vu, Minh-Chau, additional, Piedras, Paul, additional, Peta, Akhil, additional, Brevik, Andrew, additional, Karani, Rajiv, additional, Xie, Lillian, additional, Jiang, Pengbo, additional, Ali, Sohrab, additional, Patel, Roshan M., additional, Landman, Jaime, additional, and Clayman, Ralph V., additional

Published
2022
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18. 3D Technology in Urology.

Author

Morgan, Kalon L., Bhatt, Rohit, and Ali, Sohrab Naushad

Subjects
*NEPHRECTOMY, *UROLOGICAL surgery, *BLADDER cancer, *PYELONEPHRITIS, *UROLOGY, *SURROUND-sound systems
Published
2022

19. Efficient and Accurate Computed Tomography-Based Stone Volume Determination: Development of an Automated Artificial Intelligence Algorithm.

Author

Cumpanas AD, Chantaduly C, Morgan KL, Shao W, Gorgen ARH, Tran CM, Wu YX, McCormac A, Tano ZE, Patel RM, Chang P, Landman J, and Clayman RV

Subjects
Humans, Artificial Intelligence, Retrospective Studies, Algorithms, Tomography, X-Ray Computed, Kidney Calculi diagnostic imaging, Urolithiasis diagnostic imaging
Abstract

Purpose: Given the shortcomings of current stone burden characterization (maximum diameter or ellipsoid formulas), we sought to investigate the diagnostic accuracy and precision of a University of California, Irvine-developed artificial intelligence (AI) algorithm for determining stone volume determination., Materials and Methods: A total of 322 noncontrast CT scans were retrospectively obtained from patients with a diagnosis of urolithiasis. The largest stone in each noncontrast CT scan was designated the "index stone." The 3D volume of the index stone using 3D Slicer technology was determined by a validated reviewer; this was considered the "ground truth" volume. The AI-calculated index stone volume was subsequently compared with ground truth volume as well with the scalene, prolate, and oblate ellipsoid formulas estimated volumes., Results: There was a nearly perfect correlation between the AI-determined volume and the ground truth (R=0.98). While the AI algorithm was efficient for determining the stone volume for all sizes, its accuracy improved with larger stone size. Moreover, the AI stone volume produced an excellent 3D pixel overlap with the ground truth (Dice score=0.90). In comparison, the ellipsoid formula-based volumes performed less well (R range: 0.79-0.82) than the AI algorithm; for the ellipsoid formulas, the accuracy decreased as the stone size increased (mean overestimation: 27%-89%). Lastly, for all stone sizes, the maximum linear stone measurement had the poorest correlation with the ground truth (R range: 0.41-0.82)., Conclusions: The University of California, Irvine AI algorithm is an accurate, precise, and time-efficient tool for determining stone volume. Expanding the clinical availability of this program could enable urologists to establish better guidelines for both the metabolic and surgical management of their urolithiasis patients.

Published
2024
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