Function-preserving strategies for localized prostate cancer: minimally invasive radical surgery, focal therapy and AI-assisted surgery

Shang-Rui Tang , Chen-Hua Zhang , Zhi-Cheng Zheng , Thibault Tricard , Ming-Yu Chen , Jia-Hua Pan

Artificial Intelligence Surgery ›› 2026, Vol. 6 ›› Issue (3) : 463 -82.

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Artificial Intelligence Surgery ›› 2026, Vol. 6 ›› Issue (3) :463 -82. DOI: 10.20517/ais.2026.36
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Function-preserving strategies for localized prostate cancer: minimally invasive radical surgery, focal therapy and AI-assisted surgery
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Abstract

With increasing detection and longer survival in localized prostate cancer (PCa), treatment goals increasingly emphasize preserving urinary continence and sexual function without compromising oncological control. This review synthesizes evidence on function-preserving strategies, focusing on minimally invasive radical prostatectomy, focal ablation, and artificial intelligence (AI)-assisted surgery. Laparoscopic and robot-assisted radical prostatectomy remain the principal radical approaches; multiport robot-assisted surgery has the most mature evidence for balancing cancer control and functional recovery. Relevant refinements include nerve-sparing, fluorescence imaging, three-dimensional reconstruction, and AI-assisted risk stratification, planning, navigation, and outcome prediction. In carefully selected patients with low- or intermediate-risk disease, focal therapies may reduce treatment burden and preserve function. Focal therapy is not yet a standard option for localized prostate cancer, but it may be discussed during shared decision-making with carefully selected, fully informed patients. Some focal modalities are already used in selected clinical settings, including outside formal trials where locally permitted, although implementation varies across health-care systems. Counseling should address limitations in long-term evidence, the need for structured surveillance, and possible repeat or salvage treatment. Heterogeneous selection, endpoints, and follow-up, together with a lack of high-quality head-to-head comparisons, preclude reliable ranking of focal modalities; sexual recovery and long-term oncological durability also vary. Direct evidence that AI improves nerve preservation, continence, erectile function, or margin control remains insufficient for routine adoption. Optimal function preservation requires risk-adapted selection, technical expertise, multidisciplinary decision-making, and rigorous follow-up. Future studies should prospectively validate AI tools and standardize imaging, outcomes, and clinically meaningful endpoints.

Keywords

Prostate cancer / radical prostatectomy / focal therapy / AI-assisted surgery

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Shang-Rui Tang, Chen-Hua Zhang, Zhi-Cheng Zheng, Thibault Tricard, Ming-Yu Chen, Jia-Hua Pan. Function-preserving strategies for localized prostate cancer: minimally invasive radical surgery, focal therapy and AI-assisted surgery. Artificial Intelligence Surgery, 2026, 6 (3) : 463-82 DOI:10.20517/ais.2026.36

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References

[1]

Bray F,Laversanne M,Sung H.et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Cancer J Clin. 2024 74 229 63

[2]

Cornford P,Tilki D,van den Bergh RCN.et al. Prostate cancer. EAU-EANM-ESTRO-ESUR-ISUP-SIOG guidelines. Arnhem, The Netherlands: EAU Guidelines Office; 2026. ISBN: 978-94-92671-32-5. Available from: https://uroweb.org/guidelines/prostate-cancer [Last accessed on 21 Sep 2026]

[3]

Bill-Axelson A,Holmberg L,Garmo H.et al. Radical prostatectomy or watchful waiting in prostate cancer - 29-year follow-up N Engl J Med. 2018 379 2319 29

[4]

Czarnogórski MC,Settaf-Cherif L,Koper K.et al. Nerve-sparing techniques in robot-assisted radical prostatectomy - anatomical approach Expert Rev Med Devices. 2024 21 1101 10

[5]

Carbin DD,Shah A,Kusuma VRM. Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today? J Robot Surg. 2024 18 404

[6]

Della Corte M,Quarà A,De Cillis S.et al. 3D virtual models and augmented reality for radical prostatectomy: a narrative review Chin Clin Oncol. 2024 13 56

[7]

Sarhan K,Khan N,Prezzi D.et al. Reduction of surgical complications via 3D models during robotic assisted radical prostatectomy: review of current evidence and meta-analysis J Robot Surg. 2024 18 304 PMC11303509

[8]

Suartz CV,Costa MSS,Matalani CFA.et al. Comparative functional, perioperative and oncological outcomes of robot-assisted and open radical prostatectomy: a systematic review and meta-analysis. Int Urol Nephrol. 2026; Epub ahead of print

[9]

Stolzenburg JU,Holze S,Neuhaus P.et al. Robotic-assisted versus laparoscopic surgery: outcomes from the first multicentre, randomised, patient-blinded controlled trial in radical prostatectomy (LAP-01) Eur Urol. 2021 79 750 9

[10]

Stolzenburg J,Holze S,Arthanareeswaran V.et al. Robotic-assisted versus laparoscopic radical prostatectomy: 12-month outcomes of the multicentre randomised controlled LAP-01 trial Eur Urol Focus. 2022 8 1583 90

[11]

Pina AJ,Melo VC,Carlos VW.et al. Erectile function after laparoscopic versus robotic-assisted radical prostatectomy: a systematic review and meta-analysis Asian J Urol. 2025 12 281 9 PMC12490684

[12]

Guimarães GC,de Oliveira RAR,Santana TBM.et al. Comparative analysis of functional outcomes between two different techniques after 1088 robotic-assisted radical prostatectomies in a high-volume cancer center: a clipless approach J Endourol. 2019 33 1017 24

[13]

Görgen ARH,Burttet LM,Cachoeira ET.et al. Association of nerve-sparing grading in robotic radical prostatectomy and trifecta outcome World J Urol. 2022 40 2925 30

[14]

Soeterik TFW,van Melick HHE,Dijksman LM,Stomps S,Witjes JA,van Basten JPA. Nerve sparing during robot-assisted radical prostatectomy increases the risk of ipsilateral positive surgical margins J Urol. 2020 204 91 5

[15]

Dinneen E,Almeida-Magana R,Al-Hammouri T.et al. Effect of NeuroSAFE-guided RARP versus standard RARP on erectile function and urinary continence in patients with localised prostate cancer (NeuroSAFE PROOF): a multicentre, patient-blinded, randomised, controlled phase 3 trial Lancet Oncol. 2025 26 447 58

[16]

Ditonno F,Bologna E,Licari LC.et al. Neurovascular structure-adjacent frozen-section examination (NeuroSAFE) during robot-assisted radical prostatectomy: a systematic review and meta-analysis of comparative studies Prostate Cancer Prostatic Dis. 2025 28 623 31

[17]

Xiao X,Wang M,Liu Y.et al. Perioperative efficiency and clinical outcomes of single-port versus multi-port robot-assisted radical prostatectomy: an updated meta-analysis J Robot Surg. 2025 19 492

[18]

Soputro NA,Mikesell CD,Younis SK.et al. Propensity-matched comparison of single-port transvesical versus standard multiport robotic radical prostatectomy Eur Urol Oncol. 2026 9 45 54

[19]

Wagaskar VG,Mittal A,Sobotka S.et al. Hood technique for robotic radical prostatectomy - preserving periurethral anatomical structures in the space of Retzius and sparing the pouch of Douglas, enabling early return of continence without compromising surgical margin rates Eur Urol. 2021 80 213 21

[20]

Pirzada FM,Seth A,Nayyar R,Nayak B,Kumar R. Anterior versus posterior first approach for robot assisted radical prostatectomy-perioperative, functional, and oncological outcomes Prostate Int. 2025 13 137 41 PMC12859510

[21]

Chung DY,Jung HD,Kim DK.et al. Outcomes of Retzius-sparing versus conventional robot-assisted radical prostatectomy: a KSER update series systematic review and meta-analysis PLoS One. 2022 17 e0268182 PMC9135208

[22]

Asimakopoulos AD,Topazio L,De Angelis M.et al. Retzius-sparing versus standard robot-assisted radical prostatectomy: a prospective randomized comparison on immediate continence rates Surg Endosc. 2019 33 2187 96

[23]

Rodríguez Socarrás M,Gómez Rivas J,Reinoso Elbers J.et al. Robot-assisted radical prostatectomy by lateral approach: technique, reproducibility and outcomes Cancers. 2023 15 5442 PMC10670058

[24]

Menon M,Shrivastava A,Bhandari M,Satyanarayana R,Siva S,Agarwal PK. Vattikuti Institute prostatectomy: technical modifications in 2009 Eur Urol. 2009 56 89 96

[25]

Uy M,Cassim R,Kim J,Hoogenes J,Shayegan B,Matsumoto ED. Extraperitoneal versus transperitoneal approach for robot-assisted radical prostatectomy: a contemporary systematic review and meta-analysis J Robot Surg. 2022 16 257 64

[26]

Lenfant L,Garisto J,Sawczyn G.et al. Robot-assisted radical prostatectomy using single-port perineal approach: technique and single-surgeon matched-paired comparative outcomes Eur Urol. 2021 79 384 92

[27]

Mangano MS,De Gobbi A,Beniamin F,Lamon C,Ciaccia M,Maccatrozzo L. Robot-assisted nerve-sparing radical prostatectomy using near-infrared fluorescence technology and indocyanine green: initial experience Urologia. 2018 85 29 31

[28]

Amara N,Al Youssef T,Massa J.et al. Intraoperative angiography of the neurovascular bundle using indocyanine green and near-infrared fluorescence improves anatomical dissection during robot-assisted radical prostatectomy: initial clinical experience J Robot Surg. 2023 17 687 94

[29]

Schiavina R,Bianchi L,Lodi S.et al. Real-time augmented reality three-dimensional guided robotic radical prostatectomy: preliminary experience and evaluation of the impact on surgical planning Eur Urol Focus. 2021 7 1260 7

[30]

Shirk JD,Reiter RE,Wallen EM.et al. Trifecta outcomes after use of 3-dimensional digital models for planning of robotic prostatectomy: a secondary analysis of a randomized clinical trial JAMA Netw Open. 2024 7 e2434143 PMC11406400

[31]

Porpiglia F,Checcucci E,Volpi G.et al. Artificial intelligence 3D augmented reality-guided robotic prostatectomy versus cognitive MRI intervention: results of the prospective randomized RIDERS trial Eur Urol. 2026 89 233 43

[32]

Eastham JA,Barocas DA,Chu CE.et al. Clinically localized prostate cancer: AUA/ASTRO guideline amendment (2026) J Urol. 2026 216 2 11

[33]

Tay KJ,Polascik TJ. Focal cryotherapy for localized prostate cancer Arch Esp Urol. 2016 69 317 26

[34]

Guillaumier S,Peters M,Arya M.et al. A multicentre study of 5-year outcomes following focal therapy in treating clinically significant nonmetastatic prostate cancer Eur Urol. 2018 74 422 9 PMC6156573

[35]

Guang ZLP,Kristensen G,Røder A,Brasso K. Oncological and functional outcomes of whole-gland HIFU as the primary treatment for localized prostate cancer: a systematic review Clin Genitourin Cancer. 2024 22 102101

[36]

Fainberg J,Lee T,Vertosick EA.et al. Targeted ablation using ultrasound-guided irreversible electroporation of index tumors (TARGET study): prospective development study evaluating safety, patient-reported outcomes, and oncologic efficacy Urol Pract. 2024 11 983 90 PMC11507127

[37]

Scheltema MJ,Geboers B,Blazevski A.et al. Median 5-year outcomes of primary focal irreversible electroporation for localised prostate cancer BJU Int. 2023 131 6 13

[38]

George AK,Miocinovic R,Patel AR.et al. Irreversible electroporation for prostate tissue ablation in patients with intermediate-risk prostate cancer: results from the PRESERVE trial Eur Urol. 2026 89 57 68

[39]

Dora C,Clarke GM,Frey G,Sella D. Magnetic resonance imaging-guided transurethral ultrasound ablation of prostate cancer: a systematic review J Endourol. 2022 36 841 54 PMC9231661

[40]

Bushati Y,Guo AA,Muston BT.et al. Focal laser ablation in prostate cancer: a systematic review and meta-analysis BJU Int. 2026 137 251 9

[41]

Marcelin C,Klein C,Robert G,Bladou F,Grenier N,Jambon E. Percutaneous magnetic resonance imaging-guided focal laser ablation (MRI-FLA) of prostate tumors: a systematic review and network meta-analysis J Pers Med. 2024 14 1146 PMC11678844

[42]

Azzouzi AR,Vincendeau S,Barret E.et al. Padeliporfin vascular-targeted photodynamic therapy versus active surveillance in men with low-risk prostate cancer (CLIN1001 PCM301): an open-label, phase 3, randomised controlled trial Lancet Oncol. 2017 18 181 91

[43]

Shah TT,Peters M,Eldred-Evans D.et al. Early-medium-term outcomes of primary focal cryotherapy to treat nonmetastatic clinically significant prostate cancer from a prospective multicentre registry Eur Urol. 2019 76 98 105

[44]

Shah TT,Peters M,Miah S.et al. Assessment of return to baseline urinary and sexual function following primary focal cryotherapy for nonmetastatic prostate cancer Eur Urol Focus. 2021 7 301 8

[45]

Rischmann P,Gelet A,Riche B.et al. Focal high intensity focused ultrasound of unilateral localized prostate cancer: a prospective multicentric hemiablation study of 111 patients Eur Urol. 2017 71 267 73

[46]

Shoji S,Naruse J,Ohno S.et al. Focal therapy using high-intensity focused ultrasound with intraoperative prostate compression for patients with localized prostate cancer: a multi-center prospective study with 7 year experience Prostate Cancer Prostatic Dis. 2025 28 782 8 PMC12399414

[47]

Blazevski A,Scheltema MJ,Yuen B.et al. Oncological and quality-of-life outcomes following focal irreversible electroporation as primary treatment for localised prostate cancer: a biopsy-monitored prospective cohort Eur Urol Oncol. 2020 3 283 90

[48]

Nair SM,Hatiboglu G,Relle J.et al. Magnetic resonance imaging-guided transurethral ultrasound ablation in patients with localised prostate cancer: 3-year outcomes of a prospective Phase I study BJU Int. 2021 127 544 52

[49]

Klotz L,Pavlovich CP,Chin J.et al. Magnetic resonance imaging-guided transurethral ultrasound ablation of prostate cancer J Urol. 2021 205 769 79

[50]

Eggener SE,Yousuf A,Watson S,Wang S,Oto A. Phase II evaluation of magnetic resonance imaging guided focal laser ablation of prostate cancer J Urol. 2016 196 1670 5

[51]

Walser E,Nance A,Ynalvez L.et al. Focal laser ablation of prostate cancer: results in 120 patients with low- to intermediate-risk disease J Vasc Interv Radiol. 2019 30 401 409.e2 PMC8503805

[52]

Chao B,Lepor H. 5-Year outcomes following focal laser ablation of prostate cancer Urology. 2021 155 124 9

[53]

Taneja SS,Bennett J,Coleman J.et al. Final results of a phase I/II multicenter trial of WST11 vascular targeted photodynamic therapy for hemi-ablation of the prostate in men with unilateral low risk prostate cancer performed in the United States J Urol. 2016 196 1096 104 PMC5483996

[54]

Tay KJ,Fong KY,Stabile A.et al. Established focal therapy - HIFU, IRE, or cryotherapy - where are we now? - a systematic review and meta-analysis Prostate Cancer Prostatic Dis. 2025 28 693 706 PMC12399424

[55]

Stanzione A,Ponsiglione A,Alessandrino F,Brembilla G,Imbriaco M. Beyond diagnosis: is there a role for radiomics in prostate cancer management? Eur Radiol Exp. 2023 7 13 PMC10008761

[56]

Zhao LT,Liu ZY,Xie WF.et al. What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments? Mil Med Res. 2023 10 29 PMC10291794

[57]

Liu Y,Zhao L,Liu J,Wang L. Artificial intelligence-based personalized clinical decision-making for patients with localized prostate cancer: surgery versus radiotherapy Oncologist. 2024 29 e1692 700 PMC11630763

[58]

Tang S,Zhang H,Liang J.et al. Prostate cancer treatment recommendation study based on machine learning and SHAP interpreter Cancer Sci. 2024 115 3755 66 PMC11531952

[59]

Rho MJ,Park J,Moon HW.et al. Dr. Answer AI for prostate cancer: clinical outcome prediction model and service PLoS One. 2020 15 e0236553 PMC7406030

[60]

Canellas R,Kohli MD,Westphalen AC. The evidence for using artificial intelligence to enhance prostate cancer MR imaging Curr Oncol Rep. 2023 25 243 50

[61]

Bhattacharya I,Khandwala YS,Vesal S.et al. A review of artificial intelligence in prostate cancer detection on imaging Ther Adv Urol. 2022 14 17562872221128791 PMC9554123

[62]

Arita Y,Roest C,Kwee TC.et al. Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment Asian J Urol. 2025 12 434 44 PMC12744706

[63]

Koehler D,Shenas F,Sauer M.et al. PSMA PET evaluation with a deep learning platform compared with a standard image viewer and histopathology J Nucl Med. 2025 66 2014 9

[64]

Hung AJ,Chen J,Ghodoussipour S.et al. A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy BJU Int. 2019 124 487 95 PMC6706286

[65]

Nakamura W,Sumitomo M,Zennami K.et al. Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot-assisted radical prostatectomy Cancer Rep. 2023 6 e1861 PMC10480482

[66]

Saikali S,Reddy S,Gokaraju M.et al. Development and assessment of an AI-based machine learning model for predicting urinary continence and erectile function recovery after robotic-assisted radical prostatectomy: insights from a prostate cancer referral center Comput Methods Programs Biomed. 2025 259 108522

[67]

Parker CTA,Mendes L,Liu VYT.et al. External validation of a digital pathology-based multimodal artificial intelligence-derived prognostic model in patients with advanced prostate cancer starting long-term androgen deprivation therapy: a post-hoc ancillary biomarker study of four phase 3 randomised controlled trials of the STAMPEDE platform protocol Lancet Digit Health. 2025 7 100885

[68]

Markowski MC,Ren Y,Tierney M.et al. Digital pathology-based artificial intelligence biomarker validation in metastatic prostate cancer Eur Urol Oncol. 2025 8 755 62 PMC12369405

[69]

Marinkovic M,Popovic M,Stojanovic-rundic S.et al. Comparison of different machine learning models in prediction of postirradiation recurrence in prostate carcinoma patients Biomed Res Int. 2022 2022 7943609 PMC8844388

[70]

Marletta S,Eccher A,Martelli FM.et al. Artificial intelligence-based algorithms for the diagnosis of prostate cancer: a systematic review Am J Clin Pathol. 2024 161 526 34

[71]

Ciccone V,Garofano M,Del Sorbo R.et al. Improving early prostate cancer detection through artificial intelligence: evidence from a systematic review Cancers. 2025 17 3503 PMC12609240

[72]

Tun HM,Naing L,Malik OA,Rahman HA. Artificial intelligence (AI)-based tools in the diagnosis and management of prostate cancer: a systematic review and meta-analysis Prostate Cancer Prostatic Dis. 2026 29 488 502

[73]

Saha A,Bosma JS,Twilt JJ.et al. Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study Lancet Oncol. 2024 25 879 87 PMC11587881

[74]

Satturwar S,Parwani AV. Artificial intelligence-enabled prostate cancer diagnosis and prognosis: current state and future implications Adv Anat Pathol. 2024 31 136 44

[75]

U. S. Food and Drug Administration. DEN200080: Paige Prostate De Novo classification request. September 21, 2021. Available from: https://www.accessdata.fda.gov/cdrh_docs/pdf20/DEN200080.pdf. [Last accessed on 21 Sep 2026]

[76]

Wang X,Zhong S,Fang K,Du Y,Huang J. Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer NPJ Digit Med. 2026 9 168 PMC12913637

[77]

Oszwald A,Wasinger G,Pradere B,Shariat SF,Compérat EM. Artificial intelligence in prostate histopathology: where are we in 2021? Curr Opin Urol. 2021 31 430 5

[78]

Hamm CA,Baumgärtner GL,Biessmann F.et al. Interactive explainable deep learning model informs prostate cancer diagnosis at MRI Radiology. 2023 307 e222276

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