The Use of 3D Imaging Techniques for Improved Urological Surgical Outcomes

Authors

  • Qaed Salem Alhammami Assistant Professor and consultant of radiolog, Najran University, Saudi Arabia
  • Rayan Murdhi Ali Alzahrani Faculty of Medicine, Medical Intern, Al-Baha University, Al- Baha, Saudi Arabia
  • Hawra Ebraheem Nasser Alnasser General Practitioner (Service Resident), Qariyat Al Ulya General Hospital, Dammam, Saudi Arabia
  • Amal Saleem Al-Johani Student, College of Medicine, King Abdulaziz University, Rabigh, Jeddah, Saudi Arabia
  • Jawad Awad Alnajjar Service Resident, Medicine and Surgery, Intern, East Jeddah Hospital, Jeddah, Saudi Arabia
  • Reem Abdullah Adlan Al-Abbas College of Medicine, General Surgery, Najran University, Najran, Saudi Arabia
  • Sara Waleed Buholaiqh General Practitioner, Alfaisal University Alumni, Dammam, Saudi Arabia
  • Salem Ibrahim S. Aljaddua Medicine and Surgery, Intern, Jouf University, Sakaka, Saudi Arabia
  • Shahad Shaker Al-Shaker Intern, Medicine and Surgery, King Abdulaziz University, Jeddah, Saudi Arabia
  • Abdullah Hamad I. Alsabhawi Medical Intern, Qassim University, College of Medicine, Buraydah, Saudi Arabia

DOI:

https://doi.org/10.63278/10.63278/mme.v31.1

Keywords:

3D imaging, urology, surgical outcomes, pre-operative planning, intraoperative navigation, 3D ultrasound, MRI, CT scans

Abstract

The integration of 3D imaging techniques in urology has revolutionized the surgical landscape, enhancing pre-operative planning and intraoperative navigation. These advanced imaging modalities, including 3D ultrasound, MRI, and CT scans, allow for precise visualization of the patient's anatomy, enabling surgeons to identify critical structures and pathology with greater accuracy. By providing a detailed spatial understanding, 3D imaging helps in reducing surgical complications, minimizing collateral damage to surrounding tissues, and ultimately improving patient outcomes. Additionally, the use of 3D reconstructions can facilitate better communication among the surgical team, streamlining the workflow during complex procedures such as nephrectomies, prostatectomies, and tumor resections. Furthermore, the application of 3D imaging techniques extends beyond the operating room, impacting post-operative assessments and long-term follow-up care. Enhanced imaging allows for more accurate monitoring of surgical sites and emerging complications, such as infections or recurrences. The capability to create patient-specific models from real anatomical data also aids in training and education, providing new avenues for skill acquisition among urology residents and fellows. As technology continues to advance, the incorporation of augmented reality (AR) and virtual reality (VR) in conjunction with 3D imaging holds promise for further elevating the standards of care in urology, leading to better surgical precision and improved patient satisfaction.

References

Checcucci E., Amparore D., Volpi G., Piramide F., De Cillis S., Piana A., Alessio P., Verri P., Piscitello S., Carbonaro B., et al. Percutaneous puncture during PCNL: New perspective for the future with virtual imaging guidance. World J. Urol. 2022;40:639–650. doi: 10.1007/s00345-021-03820-4.

Huang W.C., Elkin E.B., Levey A.S., Jang T.L., Russo P. Partial Nephrectomy Versus Radical Nephrectomy in Patients with Small Renal Tumors—Is There a Difference in Mortality and Cardiovascular Outcomes? J. Urol. 2009;181:55–62. doi: 10.1016/j.juro.2008.09.017.

Kang S.K., Zhang A., Pandharipande P.V., Chandarana H., Braithwaite R.S., Littenberg B. DWI for Renal Mass Characterization: Systematic Review and Meta-Analysis of Diagnostic Test Performance. Am. J. Roentgenol. 2015;205:317–324. doi: 10.2214/AJR.14.13930.

Eysenbach G. Improving the quality of Web surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) J. Med. Internet Res. 2004;6:e34. doi: 10.2196/jmir.6.3.e34.

Mottet N., van den Bergh R.C.N., Briers E., Van den Broeck T., Cumberbatch M.G., De Santis M., Fanti S., Fossati N., Gandaglia G., Gillessen S., et al. Cornford P.EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update—Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur. Urol. 2021;79:243–262. doi: 10.1016/j.eururo.2020.09.042.

Xiao Y., Shan Z.J., Yang J.F., Len J.J., Yu Y.H., Yang M.L. Nephrometric scoring system: Recent advances and outlooks. Urol. Oncol. 2023;41:15–26. doi: 10.1016/j.urolonc.2022.06.019.

Cacciamani G.E., Okhunov Z., Meneses A.D., Rodriguez-Socarras M.E., Rivas J.G., Porpiglia F., Liatsikos E., Veneziano D. Impact of Three-dimensional Printing in Urology: State of the Art and Future Perspectives. A Systematic Review by ESUT-YAUWP Group. Eur. Urol. 2019;76:209–221. doi: 10.1016/j.eururo.2019.04.044.

Thakker P.U., O’Rourke T., Jr., Hemal A.K. Technologic advances in robot-assisted nephron sparing surgery: A narrative review. Transl. Androl. Urol. 2023;12:1184–1198. doi: 10.21037/tau-23-107.

Miller D.C., Schonlau M., Litwin M.S., Lai J., Saigal C.S. Renal and cardiovascular morbidity after partial or radical nephrectomy. Cancer. 2008;112:511–520. doi: 10.1002/cncr.23218.

Leow J.J., Heah N.H., Chang S.L., Chong Y.L., Png K.S. Outcomes of Robotic versus Laparoscopic Partial Nephrectomy: An Updated Meta-Analysis of 4,919 Patients. J. Urol. 2016;196:1371–1377. doi: 10.1016/j.juro.2016.06.011.

Wang J., Lu Y., Wu G., Wang T., Wang Y., Zhao H., Zhou Z., Wu J. The role of three-dimensional reconstruction in laparoscopic partial nephrectomy for complex renal tumors. World J. Surg. Oncol. 2019;17:159. doi: 10.1186/s12957-019-1701-x.

Rocco B., Sighinolfi M.C., Dourado Menezes A., Eissa A., Inzillo R., Sandri M., Puliatti S., Turri F., Ciarlariello S., Amato M., et al. Three-dimensional virtual reconstruction with DocDo, a novel interactive tool to score renal mass complexity. BJU Int. 2020;125:761–762. doi: 10.1111/bju.15049.

Wang Z., Qi L., Yuan P., Zu X., Chen W., Cao Z., Li Y., Wang L. Application of Three-Dimensional Visualization Technology in Laparoscopic Partial Nephrectomy of Renal Tumor: A Comparative Study. J. Laparoendosc. Adv. Surg. Tech. A. 2017;27:516–523. doi: 10.1089/lap.2016.0645.

Esperto F., Prata F., Autrán-Gómez A.M., Rivas J.G., Socarras M., Marchioni M., Albisinni S., Cataldo R., Scarpa R.M., Papalia R. New Technologies for Kidney Surgery Planning 3D, Impression, Augmented Reality 3D, Reconstruction: Current Realities and Expectations. Curr. Urol. Rep. 2021;22:35. doi: 10.1007/s11934-021-01052-y.

Paparidis S., Spartalis E., Mavrigiannaki E., Ferakis N., Stravodimos K., Tsourouflis G., Dimitroulis D., Nikiteas N.I. Record and Appraisal of Endophytic Tumor Localization Techniques in Minimally Invasive Kidney-Sparing Procedures. A Systematic Review. Urol. J. 2022;19:161–178. doi: 10.22037/uj.v19i.7056.

Bertolo R., Autorino R., Fiori C., Amparore D., Checcucci E., Mottrie A., Porter J., Haber G.P., Derweesh I., Porpiglia F. Expanding the Indications of Robotic Partial Nephrectomy for Highly Complex Renal Tumors: Urologists’ Perception of the Impact of Hyperaccuracy Three-Dimensional Reconstruction. J. Laparoendosc. Adv. Surg. Tech. A. 2019;29:233–239. doi: 10.1089/lap.2018.0486.

Campos T.J.F.L., de VFilho F.E., Rocha M.F.H. Assessment of the complexity of renal tumors by nephrometry (R.E.N.A.L. score) with CT and MRI images versus 3D reconstruction model images. Int. Braz. J. Urol. 2021;47:896–901. doi: 10.1590/s1677-5538.ibju.2020.0930.

Lasser M.S., Doscher M., Keehn A., Chernyak V., Garfein E., Ghavamian R. Virtual surgical planning: A novel aid to robot-assisted laparoscopic partial nephrectomy. J. Endourol. 2012;26:1372–1379. doi: 10.1089/end.2012.0093.

Fan G., Li J., Li M., Ye M., Pei X., Li F., Zhu S., Weiqin H., Zhou X., Xie Y. Three-Dimensional Physical Model-Assisted Planning and Navigation for Laparoscopic Partial Nephrectomy in Patients with Endophytic Renal Tumors. Sci. Rep. 2018;12:582. doi: 10.1038/s41598-017-19056-5.

Porpiglia F., Amparore D., Checcucci E., Autorino R., Manfredi M., Iannizzi G., Fiori C., ESUT Research Group Current Use of Three-dimensional Model Technology in Urology: A Road Map for Personalised Surgical Planning. Eur. Urol. Focus. 2018;4:652–656. doi: 10.1016/j.euf.2018.09.012.

Dwivedi D.K., Chatzinoff Y., Zhang Y., Yuan Q., Fulkerson M., Chopra R., Brugarolas J., Cadeddu J.A., Kapur P., Pedrosa I. Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses. Urology. 2018;112:209–214. doi: 10.1016/j.urology.2017.08.056.

Bianchi L., Schiavina R., Bortolani B., Cercenelli L., Gaudiano C., Carpani G., Rustici A., Droghetti M., Mottaran A., Boschi S., et al. Interpreting nephrometry scores with three-dimensional virtual modelling for better planning of robotic partial nephrectomy and predicting complications. Urol. Oncol. Semin. Orig. Investig. 2021;39:836.e1–836.e9. doi: 10.1016/j.urolonc.2021.07.024.

Puliatti S., Eissa A., Checcucci E., Piazza P., Amato M., Ferretti S., Scarcella S., Rivas J.G., Taratkin M., Marenco J., et al. New imaging technologies for robotic kidney cancer surgery. Asian J. Urol. 2022;9:253–262. doi: 10.1016/j.ajur.2022.03.008.

Sempels M., Ben Chehida M.A., Meunier P., Waltregny D. Open and Laparoscopic Partial Nephrectomy: Comparison and Validation of Preoperative Scoring Systems, Including PADUA, RENAL, ABC Nephrometric Scores and Perinephric Fat Evaluation with Mayo Adhesive Probability Score. Res. Rep. Urol. 2021;13:509–517. doi: 10.2147/RRU.S293864.

Moldovanu C.G., Lebovici A., Buruian M.M. A systematic review of the clinical value and applications of three-dimensional virtual reconstructions in renal tumors. Med. Pharm. Rep. 2022;95:11–23. doi: 10.15386/mpr-2129.

Azhar R.A. The influence of 3D renal reconstruction on surgical planning for complex renal tumors: An interactive case-based survey. Int. Braz. J. Urol. 2023;49:372–382. doi: 10.1590/s1677-5538.ibju.2022.0623.

Piramide F., Kowalewski K.F., Cacciamani G., Rivero Belenchon I., Taratkin M., Carbonara U., Marchioni M., De Groote R., Knipper S., Pecoraro A. Three-dimensional Model-assisted Minimally Invasive Partial Nephrectomy: A Systematic Review with Meta-analysis of Comparative Studies. Eur. Urol. Oncol. 2022;5:640–650. doi: 10.1016/j.euo.2022.09.003.

Partin A.W., Dmochowski R.R., Kavoussi L.R., Peters C.A., Wein A.J., editors. Chapter 57: Campbell-Walsh-Wein Urology. 12th ed. Elsevier; Amsterdam, The Netherlands: 2020.

Checcucci E., Amparore D., Fiori C., Manfredi M., Ivano M., Di Dio M., Niculescu G., Piramide F., Cattaneo G., Piazzolla P., et al. 3D imaging applications for robotic urologic surgery: An ESUT YAUWP review. World J. Urol. 2020;38:869–881. doi: 10.1007/s00345-019-02922-4.

Shirk J.D., Thiel D.D., Wallen E.M., Linehan J.M., White W.M., Badani K.K., Porter J.R. Effect of 3-Dimensional Virtual Reality Models for Surgical Planning of Robotic-Assisted Partial Nephrectomy on Surgical Outcomes: A Randomized Clinical Trial. JAMA Netw. Open. 2019;2:e1911598. doi: 10.1001/jamanetworkopen.2019.11598.

Checcucci E., Amparore D., Fiori C., Manfredi M., Ivano M. 3D imaging applications for robotic urologic surgery: An ESUT YAUWP review. World J. Urol. 2020;38:869–881.

Thakker P.U., O’Rourke T., Jr., Hemal A.K. Technologic advances in robot-assisted nephron sparing surgery: A narrative review. Transl. Androl. Urol. 2023;12:1184–1198.

Tang G., Liu H., Wang X., Yao H., Wang D., Sun F., Bao X., Zhou Z., Wang J., Wu J. The role of three-dimensional model in preoperative communication before partial nephrectomy and postoperative management. Asia Pac. J. Oncol. Nurs. 2023;10:100222. doi: 10.1016/j.apjon.2023.100222.

Wake N., Rosenkrantz A.B., Huang R., Park K.U., Wysock J.S., Taneja S.S., Huang W.C., Sodickson D.K., Chandarana H. Patient-specific 3D printed and augmented reality kidney and prostate cancer models: Impact on patient education. 3D Print Med. 2019;5:4. doi: 10.1186/s41205-019-0041-3.

Kwon Kim J., Ryu H., Kim M., Kwon E.K., Lee H., Joon Park S., Byun S.S. Personalised three-dimensional printed transparent kidney model for robot-assisted partial nephrectomy in patients with complex renal tumours (R.E.N.A.L. nephrometry score≥7): A prospective case-matched study. BJU Int. 2021;127:567–574. doi: 10.1111/bju.15275.

Teishima J., Takayama Y., Iwaguro S., Hayashi T., Inoue S., Hieda K., Shinmei S., Kato R., Mita K., Matsubara A. Usefulness of personalized three-dimensional printed model on the satisfaction of preoperative education for patients undergoing robot-assisted partial nephrectomy and their families. Int. Urol. Nephrol. 2018;50:1061–1066. doi: 10.1007/s11255-018-1881-2.

Kyung Y.S., Kim N., Jeong I.G., Hong J.H., Kim C.S. Application of 3-D printed kidney model in partial nephrectomy for predicting surgical outcomes: A feasibility study. Clin. Genitourin. Cancer. 2019;17:e878–e884. doi: 10.1016/j.clgc.2019.05.024.

Silberstein J.L., Maddox M.M., Dorsey P., Feibus A., Thomas R., Lee B.R. Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: A pilot study. Urology. 2014;84:268–273. doi: 10.1016/j.urology.2014.03.042.

Lupulescu C., Sun Z. A Systematic Review of the Clinical Value and Applications of Three-Dimensional Printing in Renal Surgery. J. Clin. Med. 2019;8:990. doi: 10.3390/jcm8070990.

Maddox M.M., Feibus A., Liu J., Wang J., Thomas R., Silberstein J.L. 3D-printed soft-tissue physical models of renal malignancies for individualized surgical simulation: A feasibility study. J. Robot Surg. 2018;12:27–33. doi: 10.1007/s11701-017-0680-6.

Wang S., Frisbie J., Keepers Z., Bolten Z., Hevaganinge A., Boctor E., Leonard S., Tokuda J., Krieger A., Siddiqui M.M. The Use of Three-dimensional Visualization Techniques for Prostate Procedures: A Systematic Review. Eur. Urol. Focus. 2021;7:1274–1286. doi: 10.1016/j.euf.2020.08.002.

Fan G., Meng Y., Zhu S., Ye M., Li M., Li F., Ye Y., Liu Z., Weiqin H., Xie Y. Three-dimensional printing for laparoscopic partial nephrectomy in patients with renal tumours. J. Int. Med. Res. 2019;47:4324–4332. doi: 10.1177/0300060519862058.

de Rooij M., Hamoen E.H., Witjes J.A., Barentsz J.O., Rovers M.M. Accuracy of Magnetic Resonance Imaging for Local Staging of Prostate Cancer: A Diagnostic Meta-Analysis. Eur. Urol. 2016;70:233–245. doi: 10.1016/j.eururo.2015.07.029.

Makary J., van Diepen D.C., Arianayagam R., McClintock G., Fallot J., Leslie S., Thanigasalam R. The evolution of image guidance in robotic-assisted laparoscopic prostatectomy (RALP): A glimpse into the future. J. Robot. Surg. 2022;16:765–774. doi: 10.1007/s11701-021-01305-5.

Downloads

Published

2024-12-14

How to Cite

Qaed Salem Alhammami, Rayan Murdhi Ali Alzahrani, Hawra Ebraheem Nasser Alnasser, Amal Saleem Al-Johani, Jawad Awad Alnajjar, Reem Abdullah Adlan Al-Abbas, Sara Waleed Buholaiqh, Salem Ibrahim S. Aljaddua, Shahad Shaker Al-Shaker, and Abdullah Hamad I. Alsabhawi. 2024. “The Use of 3D Imaging Techniques for Improved Urological Surgical Outcomes”. Metallurgical and Materials Engineering 30 (4):459-69. https://doi.org/10.63278/10.63278/mme.v31.1.

Issue

Vol. 30 No. 4 (2024)

Section

Research

License

Copyright (c) 2024 Qaed Salem Alhammami, Rayan Murdhi Ali Alzahrani, Hawra Ebraheem Nasser Alnasser, Amal Saleem Al-Johani, Jawad Awad Alnajjar, Reem Abdullah Adlan Al-Abbas, Sara Waleed Buholaiqh, Salem Ibrahim S. Aljaddua, Shahad Shaker Al-Shaker, Abdullah Hamad I. Alsabhawi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like ResearchGate or Academia), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

Creative Commons License
Except where otherwise noted, the content on this site is licensed under a Creative Commons Attribution 4.0 International License.