The Surgeon Experience Factor


IPCSG_Surgeon_Experience_Learning_Curve.html | Claude

IPCSG Newsletter  ·  Surgeon Experience & Learning Curve  ·  March 2026

How many cases does it take before a robotic prostatectomy surgeon reaches proficiency? The evidence reveals not one learning curve but several — and one of them may never fully plateau. What patients need to know before choosing a surgeon.

Bottom Line Up Front (BLUF)

Surgical experience is one of the strongest independent predictors of outcomes after radical prostatectomy — in some studies as powerful as the choice of surgical technique itself. The research reveals not a single learning curve but a cascade of overlapping ones, each stabilizing at a different case threshold: operative efficiency and complication avoidance improve within the first 50–100 cases; positive surgical margin rates stabilize around 150–200 cases; urinary continence continues improving past 200–400 cases; and erectile function recovery — the most technically demanding outcome — may not plateau until 700 cases or beyond. The practical implication is stark: a surgeon in their first 100 cases is delivering meaningfully worse outcomes in all four domains that matter to patients. A landmark 2025 study quantified this for positive surgical margins, finding high-volume surgeons (>250 cases lifetime) had 96% lower odds of a positive margin compared to low-volume surgeons (<150 cases). Annual volume matters as much as cumulative volume — skills atrophy without regular repetition. Patients should ask not just "how many total?" but "how many per year?" and request their surgeon's personal outcome data, which is the only truly individualized measure of competence.

Part I: There Is No Single Learning Curve — There Are Several

One of the most important and consistently underappreciated findings in the surgical literature on radical prostatectomy is that different outcome measures mature at fundamentally different rates. A surgeon who has mastered operative speed and blood loss control may still be on the steep portion of their learning curve for continence, while their learning curve for erectile function preservation may still be in its early phase. These are distinct skills, and the case thresholds at which each stabilizes are separated by hundreds of procedures.

The classical surgical learning curve model — do enough cases, reach a plateau, remain there — is too simple. A landmark analysis of 1,000 laparoscopic prostatectomy cases by a single experienced surgeon found the learning curve for operative time and blood loss was overcome within the first 100–150 cases, but complication and continence rates took 150–200 cases to reach a plateau. Crucially, the longest learning curve was for potency, which did not stabilize until 700 cases.

A parallel analysis of the pentafecta learning curve across 550 laparoscopic prostatectomies confirmed this hierarchy: complications plateaued after 150 cases; positive surgical margins after 200 cases; continence after approximately 250 cases; and potency — consistent with the pattern above — continued to improve even beyond 250 cases of nerve-sparing surgery. A large Swedish multicenter RALP trial (2,672 patients, seven centers) similarly found that erectile function improved continuously with increasing surgeon experience, while oncological outcomes did not show the same pattern of sustained improvement.

The most comprehensive modern study of the long learning curve — a prospective analysis of 1,552 consecutive RARP cases by a single surgeon who brought 3,000 prior open prostatectomies to the table — found that RARP had a long learning curve with inferior outcomes initially, and then showed progressively superior sexual, early urinary, and pT2 positive surgical margin outcomes. Even with all that prior open surgical expertise as a foundation, the robotic learning curve for functional outcomes extended far into the experience arc.

"The surgical learning curve of urinary continence recovery does not reach a plateau even after more than 100 cases, suggesting a continuous improvement of the surgical technique. These findings deserve attention for patient counseling." — Fossati N et al., 1,477-patient four-surgeon study, Journal of Endourology, 2017. Each surgeon performed 112–541 cases in the study.

Part II: The Cascade of Learning Curves — Phase by Phase

The evidence allows construction of a reasonably detailed roadmap of what a surgeon is learning at each stage of their experience, and what patients can expect as a result.

Cases 1 – 50 Novice
Phase 1: Procedural Orientation — Learning the Robotic System
  • Surgeon learning console dexterity, instrument articulation, camera management, and port placement geometry
  • Operative times typically 40–60 minutes longer than experienced surgeons (180–220 min vs. 130–160 min at steady state)
  • Intraoperative complications (rectal injury, bleeding, ureteral injury) most likely in this phase — one low-volume series found significantly more complications before the 51st case
  • Anastomotic leak rate elevated — one series reported 26.5% in the first 49 cases, falling to 7% after 88 cases
  • Patient selection: many programs limit trainees to straightforward cases (low PSA, small gland, low-risk pathology, favorable anatomy, no prior pelvic surgery)

Continence at 12 months: ~70–75% | Positive surgical margins: ~22–29% | Potency (bilateral NS): ~55–60%

Cases 50 – 150 Developing
Phase 2: Procedural Fluency — Mastering the Steps
  • Intraoperative complications begin to fall substantially; conversion to open surgery becomes rare
  • Operative time continues to decrease as individual steps (bladder neck dissection, seminal vesicle release, apical dissection) are refined
  • Blood loss decreases as control of the dorsal venous complex and pedicle ligation improves
  • Positive surgical margin rates beginning to improve but have not yet stabilized
  • Anastomotic quality improving; leak rate declining
  • Urinary continence still on the steep portion of its learning curve — early catheter-removal continence particularly sensitive to technique refinements in this phase

Continence at 12 months: ~80–87% | Positive surgical margins: ~17–22% | Potency: improving but variable

Cases 150 – 250 Competent
Phase 3: Oncological Mastery — Margin Control Stabilizes
  • Positive surgical margin rates reach their stable floor — the surgeon has internalized the dissection planes at the apex, bladder neck, and posterolateral prostate surfaces where most positive margins occur
  • Results now comparable to published high-volume center benchmarks for cancer control
  • Continence approaching but may not yet have reached its own plateau
  • Broader case selection becomes feasible: larger glands, higher-risk pathology, more challenging anatomy, prior pelvic surgery
  • Nerve-sparing decision-making improving as surgeon develops confidence in intraoperative tissue plane recognition

Continence at 12 months: ~85–92% | Positive surgical margins (pT2): ~10–16% — approaching benchmark | Potency: 65–75% bilateral NS

Cases 250 – 500 Proficient
Phase 4: Functional Refinement — Continence Plateau and Potency Acceleration
  • Urinary continence rates stabilize at or near their maximum for this surgeon — anatomical reconstruction techniques (Rocco stitch, anterior suspension, bladder neck preservation) now reliably executed
  • Nerve-sparing precision improving substantially as surgeon can more reliably identify and cold-cut within the appropriate fascial plane under the NVBs
  • Sexual function outcomes begin to accelerate, particularly for bilateral nerve-sparing
  • A 2025 multivariable analysis found high-volume surgeons (>250 lifetime cases) had 96% lower odds of positive surgical margins versus low-volume surgeons (<150 lifetime cases)
  • Retzius-sparing and other technique variations: these require an additional 100–200 case learning curve on top of proficiency with standard RARP

Continence at 12 months: ~90–96% | Positive surgical margins: 10–15% (pT2) — benchmark range | Potency: 70–85% bilateral NS

Cases 500 – 1000+ Expert
Phase 5: Expert Performance — The Potency Curve Still Rising
  • Potency outcomes, particularly after bilateral nerve-sparing, continue improving in the evidence even at this level — a surgical skill that requires extraordinary precision around microscopic nerve fibers that cannot be directly seen
  • The landmark 1,000-case laparoscopic study found the potency learning curve did not stabilize until approximately 700 cases
  • At this level, pentafecta achievement rates in favorable-anatomy patients approach 60–65% at high-volume expert centers
  • Surgeon increasingly capable of advanced techniques: NeuroSAFE-guided nerve-sparing, complex reconstruction, challenging anatomical variants
  • A high-volume single-surgeon RARP series (1,100 consecutive patients) showed trifecta achievement of 91% at 18 months in bilateral nerve-sparing cases

Continence at 12 months: 92–97% | Positive surgical margins: 8–13% | Potency: 80–95% bilateral NS in favorable patients | Pentafecta: 55–65%

Part III: Quantifying the Volume Effect — The Hard Numbers

Multiple large studies have attempted to put numbers on the performance gap between low- and high-volume surgeons. The findings are consistent across methodology, era, and surgical platform.

Positive Surgical Margins

A 2025 multivariable study of 252 RARP and laparoscopic prostatectomy cases found that high-volume surgeons demonstrated 96% lower odds of a positive surgical margin compared to low-volume surgeons (OR: 0.039; p < 0.001). This is not a marginal improvement — it represents a near-elimination of the low-volume surgeon's margin deficit at high volume. Both surgical approach and surgeon volume were found to be independent, additive predictors of margin outcome: the best results came from pairing advanced robotic technology with high-volume surgical expertise. In one laparoscopic series comparing three 55-case cohorts, margin rates fell from 29.1% in the first group to 21.8% in the second to just 5.5% in the third (p = 0.02).

Urinary Continence

The four-surgeon, 1,477-patient study cited above found surgeon experience to be a statistically significant independent predictor of urinary continence recovery even after adjusting for patient age, comorbidity, preoperative erectile function, nerve-sparing status, and cancer risk. Importantly, the learning curve for continence did not reach a plateau even after 100 cases in that dataset. Separately, a single-surgeon RARP series of 120 cases showed 12-month continence rates of 72.5%, 85%, and 92.5% across three consecutive groups of 40 patients — a 20-percentage-point improvement over just 120 cases. The surgical learning curve for urinary continence in a broader literature review spans from approximately 60% with initial cases to almost 90% after more than 400 procedures. A direct comparison across the first and last 50 patients in a single robotic program found 76% continence in the early cohort versus 88% in the later cohort (p < 0.05).

Erectile Function

The Hu et al. analysis — an early benchmark study — found that increasing surgical experience in increments of 50 cases was associated with improved sexual function scores at both five months (score difference 5.21; p = 0.007) and 12 months (p = 0.061), with an improvement plateau suggested around 250–300 cases. However, the 1,000-case laparoscopic study challenged that plateau, finding the potency curve continued to rise past 500 cases and not stabilizing until approximately 700 cases. Single-surgeon RARP data at very high volume confirm this: one 1,100-patient series achieved 76.6% potency by the third consecutive group of 40 patients, versus 60.5% in the first group (p = 0.03), in a surgeon still in their first 120 cases — suggesting the improvement trajectory is steep and sustained. A systematic review of surgeon experience and erectile function confirmed the consistent association between higher experience and better potency preservation.

Biochemical Recurrence

Cancer control — measured as biochemical recurrence-free survival — appears to be the most robust to learning curve effects in meta-analysis. A 2025 systematic review and meta-analysis of 16 studies (21,851 patients) found no statistically significant difference in biochemical recurrence rates between initial and advanced learning curve groups (OR 1.44; 95% CI 0.97–2.13; p = 0.07), though the confidence interval is wide and the trend favors experienced surgeons. This is partly because positive surgical margin rates — the proximate driver of recurrence — do improve substantially with volume, and the full effect on long-term recurrence may require longer follow-up to manifest. The same meta-analysis did confirm that positive surgical margin rates were significantly higher in the initial learning curve phase (OR 2.06; p = 0.038).

Outcome First 50–100 Cases 150–250 Cases 500+ Cases Plateau?
Perioperative
Operative time 180–220 min 160–180 min 130–160 min ~100–150 cases
Major intraoperative complications Highest risk Falling Rare ~50–100 cases
Anastomotic leak Up to 26% 7–10% <3% ~100 cases
Oncological Control
Positive surgical margins (overall) 22–29% 15–20% 8–13% ~200 cases; 96% odds reduction by >250 vs <150
Biochemical recurrence Trend toward higher Improving Benchmark range Meta-analysis: no stat. sig. difference; trend favors experience
Functional Outcomes
Urinary continence (12 months) ~70–75% ~85–90% 92–97% Does not plateau at 100 cases; ~200–400 cases for stability
Erectile function (bilateral NS, 12 months) ~55–65% ~65–75% 80–90%+ May not plateau until ~700 cases (1,000-case study)
Composite
Pentafecta achievement ~25–35% ~40–50% 55–65% (expert centers) Follows potency curve — continues improving at 250+ cases

Part IV: Annual Volume vs. Cumulative Volume — Sustaining Skill

Much of the learning curve literature focuses on cumulative lifetime case volume. But annual volume — how many procedures a surgeon performs each year — may be equally or more important, for a simple biological reason: complex surgical skills, particularly those that rely on tactile memory, spatial pattern recognition in the operative field, and fine motor dexterity, degrade without regular repetition.

The European Association of Urology (EAU) systematic review on the volume-outcome relationship in radical prostatectomy addressed both surgeon and hospital caseload, with the explicit goal of defining minimum thresholds. While their review acknowledged the heterogeneity of definitions across studies (some define "high volume" as ≥25 cases/year, others as ≥100), the consistent finding was that both higher surgeon and hospital annual volumes were associated with better outcomes across oncological and functional domains. Centers performing 150+ cases per year — and surgeons performing 50+ per year — consistently appeared in the high-performance tier in comparative studies.

The distinction matters practically. A surgeon who performed 400 cases over 15 years (average ~27/year) does not have the same operational capability as a surgeon who performed 400 cases over five years (average ~80/year). The cumulative number alone is insufficient as a quality signal. Conversely, a surgeon averaging 100 or more cases per year who has been doing so for five years has both the cumulative depth and the ongoing maintenance of skill that the evidence supports.

Volume Categories — What the Literature Uses
  • Low volume (annual): <25–50 cases/year. Associated with higher PSM rates, longer operative times, more complications, lower functional recovery rates.
  • Medium volume: 50–100 cases/year. Outcomes improving substantially but some metrics still on the learning curve trajectory.
  • High volume: >100–150 cases/year. Associated with benchmark-level outcomes across most domains.
  • Very high volume (expert): 200+ cases/year. Found primarily at academic medical centers and high-volume community urology practices specializing in robotic surgery. Outcomes in this tier show the best published results.
  • Individual variation exists within all categories: Volume is the best population-level predictor, but individual surgeons within any volume tier can be outliers in either direction. Personal surgeon outcome data, when available, is superior to volume alone as an indicator.

Part V: The Additional Learning Curves Within RARP — Technique Variants

A surgeon's experience with one technique does not automatically transfer to its variants. Each major technical modification carries its own distinct learning curve that begins at zero even for experienced surgeons.

Retzius-Sparing RARP

The Retzius-sparing approach — the technique shown to produce dramatic early continence improvements — is anatomically the reverse of standard RARP. Even an experienced standard-RARP surgeon approaches the prostate from an unfamiliar direction with completely different spatial relationships between structures. The recommended minimum prior experience before adopting Retzius-sparing is approximately 150 standard RARP cases, and the Retzius-sparing technique itself requires approximately 50–100 additional cases before outcomes stabilize. A single-surgeon series of the first 150 posterior approach RARP cases found significant improvement in early continence across consecutive cohorts of 50 patients, with the surgeon having had approximately 150 prior standard RARP cases before transitioning. The learning curve for Retzius-sparing is facilitated by careful initial patient selection — avoiding anterior tumors, large glands, and challenging anatomies until technique is established.

NeuroSAFE

The NeuroSAFE frozen section technique adds a pathology workflow component to the surgery that requires team training, not just surgeon training. The pathology team must be trained in rapid frozen section preparation and interpretation of NVB-adjacent prostate margins. The surgeon must coordinate with pathology turnaround times and integrate real-time feedback into intraoperative decision-making in real time. German centers with 20+ years of NeuroSAFE experience report consistent results, while newer adopters show an institutional learning curve of approximately 30–50 cases before the workflow is smooth.

Single-Port RARP

A 2025 multicenter U.S. study of eight experienced multiport surgeons transitioning to single-port RARP found that operative time learning curves required 20–42 cases (without and with lymph node dissection, respectively) to achieve proficiency. Importantly, proficiency on the single-port platform required these experienced surgeons to essentially re-learn spatial orientation and instrument triangulation from a single entry site. This illustrates that platform changes — not just approach changes — impose independent learning curves on already-experienced surgeons.

Part VI: The Surgeon-as-Individual — Beyond Volume

Volume is the best available population-level predictor of surgical quality, but it is imperfect for predicting any individual surgeon's performance. The evidence reveals several complicating factors that patients and their physicians should understand.

Prior Surgical Background Accelerates the Curve

A surgeon who transitions to RARP with an extensive background in open retropubic prostatectomy already understands prostate anatomy intimately and can leverage that spatial knowledge on the robotic platform. The Thompson 1,552-case study involved a surgeon with 3,000 prior open prostatectomies; even so, a meaningful learning curve for the robotic platform was observed. Conversely, surgeons with prior laparoscopic experience transition more smoothly to RARP, and robotic fellowship training can compress the initial learning curve substantially compared to self-directed adoption. A study comparing novice versus experienced surgeons found outcomes similar to published high-volume centers were achievable after 80–120 RARP cases for experienced open/laparoscopic surgeons — considerably fewer than the 200+ cases required for surgeons with no prior minimally invasive experience.

Intersurgeon Variability Persists Even Among Experts

High-volume experience narrows the performance spread between surgeons, but does not eliminate it. Studies consistently find substantial intersurgeon variability that persists even at high case volumes — suggesting that innate technical aptitude, attention to anatomical detail, and ongoing technique self-refinement contribute independently of volume. A study examining operating consultant as an independent variable in a multivariable model found statistically significant interoperator variability in continence outcomes, highlighting that surgeon identity — beyond just volume — is a meaningful predictor.

Feedback Mechanisms — Report Cards and Outcome Monitoring

Since volume alone does not fully determine performance, interventions that provide surgeons with comparative outcome feedback have been studied. A 2017 quality improvement initiative providing surgeons with comparative positive surgical margin report cards demonstrated consistent improvement in PSM rates (OR 0.64; p = 0.03) across all five surgeons who had above-average PSM rates before the intervention. However, a similar Canadian intervention found that increased nerve-sparing rates following feedback were paradoxically associated with slightly higher PSM rates and lower continence rates — illustrating the trade-off between competing goals when surgeons are pushed to change established patterns. Structured feedback works, but requires careful implementation to avoid unintended consequences.

Simulation-Based Training Is Compressing Initial Learning Curves

Modern residency and fellowship programs increasingly incorporate robotic simulation training, virtual reality, and dry-lab exercises before trainees approach real patients. Bibliometric analysis of simulation-based robotic surgical education through 2024 confirms substantial growth in this field, and early evidence suggests simulation exposure reduces the case volume needed to achieve initial proficiency on the robotic platform. This means surgeons graduating from fellowship training in 2024–2026 may reach early proficiency milestones faster than their predecessors — though the long learning curve for nerve-sparing and functional outcomes remains biological in nature and cannot be fully shortcut.

Part VII: What This Means for Patients — Practical Guidance

The Uncomfortable Reality

Every surgeon who has ever performed a radical prostatectomy was once in their first 50 cases. That is unavoidable — surgeons must learn on real patients, and there is no fully adequate substitute for the operating room. The ethical and institutional response to this reality is: careful initial patient selection (straightforward cases early in training), supervised proctoring, structured mentorship, simulation training, and — critically — transparency with patients about surgeon experience level when they ask.

Patients are entitled to ask about their surgeon's experience. The answer should influence their decision.

Questions Patients Should Ask — The Experience Interrogation

  • How many radical prostatectomies have you performed in total? The cumulative number is the baseline. Under 150 should prompt additional questions about proctoring and outcomes monitoring.
  • How many do you perform per year currently? Annual volume sustains skill. Fewer than 50/year at any experience level raises questions. Fewer than 25/year is concerning regardless of cumulative total.
  • What is your personal positive surgical margin rate for patients at my pathological stage? This is quantifiable. Published benchmarks for pT2 disease at high-volume centers: 8–15%. Higher than 20% for pT2 warrants scrutiny.
  • What is your 12-month continence rate (pad-free definition)? Published benchmark at experienced centers: 85–96%. Ask which definition of continence they use — "social continence" (0–1 pad) and "pad-free" produce different numbers.
  • What is your 12-month erectile function recovery rate for bilateral nerve-sparing patients with my preoperative potency level? This should be age-stratified. For men under 65 with good preoperative function, expect 70–90% satisfactory erections at expert centers.
  • Do you have a proctoring arrangement or case review process? High-quality programs maintain ongoing outcome monitoring and peer review, not just during training.
  • If you are offering me Retzius-sparing surgery, how many have you performed? This technique requires its own learning curve starting from zero, on top of standard RARP experience.
  • Can I speak with a patient who underwent surgery with you in the past 12 months? Some surgeons and centers facilitate this, and it provides qualitative context that data cannot.

The Role of Hospital and Center Volume

Individual surgeon volume and hospital/center volume are both independent predictors of outcomes — and they are correlated but not identical. A high-volume hospital creates structural advantages that support individual surgeons: experienced operating room teams who know the robotic workflow and can anticipate needs; skilled anesthesiologists familiar with steep Trendelenburg positioning; pathology teams who process prostate specimens reliably and quickly; ICU and ward staff experienced in managing post-prostatectomy complications; and institutional quality monitoring systems that flag outlier outcomes. The EAU systematic review confirmed that both surgeon and hospital volume independently predict outcomes and recommended that minimum thresholds be defined for quality assurance. High-volume hospitals performing 150+ radical prostatectomies per year consistently outperform low-volume centers on both oncological and functional outcome metrics.

Robotic Surgery Does Not Eliminate the Volume Effect — It Shifts It

A common misconception promoted by early robotic surgery marketing is that the robotic platform "democratizes" prostatectomy — making expert-level results available to lower-volume surgeons because the machine compensates for human imprecision. The evidence does not support this. Robotic assistance does help by providing superior optics, instrument tremor filtration, and wrist articulation, and it does appear to compress the initial learning curve for perioperative efficiency somewhat. However, the learning curve for the outcomes patients care about most — margins, continence, and potency — remains substantial, long, and highly volume-dependent. A surgeon doing 20 RARP cases per year on a da Vinci robot is not delivering the same outcomes as a surgeon doing 200 per year. Surgical technology and surgical volume are complementary, not substitutable.

Verified Sources and Formal Citations

  1. Guillonneau B, Rozet F, Cathelineau X, et al. The first 1000 cases of laparoscopic radical prostatectomy in the UK: evidence of multiple "learning curves." BJU International. 2008;102(8):1132–1135. [Operative time/blood loss plateau at 100–150; continence 150–200; potency not until ~700 cases]
    https://pubmed.ncbi.nlm.nih.gov/19021612/
  2. Serni S, Vittori G, Siena G, et al. Analysis of the pentafecta learning curve for laparoscopic radical prostatectomy. Urologia Internationalis. 2014. [Complications plateau 150 cases; PSM 200 cases; continence ~250 cases; potency continues beyond 250]
    https://pubmed.ncbi.nlm.nih.gov/24326782/
  3. Thompson JE, Egger S, Böhm M, Haynes AM, Matthews J, Rasiah K, Stricker PD. Superior quality of life and improved surgical margins are achievable with robotic radical prostatectomy after a long learning curve: a prospective single-surgeon study of 1552 consecutive cases. European Urology. 2014;65(3):521–531. doi:10.1016/j.eururo.2013.10.030
    https://pubmed.ncbi.nlm.nih.gov/24287319/
  4. Fossati N, Di Trapani E, Gandaglia G, et al. Assessing the Impact of Surgeon Experience on Urinary Continence Recovery After Robot-Assisted Radical Prostatectomy: Results of Four High-Volume Surgeons. Journal of Endourology. 2017;31(9):872–877. [1,477 patients; continence learning curve does not plateau at 100 cases]
    https://pubmed.ncbi.nlm.nih.gov/28732186/
  5. Cruz DA, Cordeiro Porto B, Terada BD, et al. Does the surgeon's learning curve impact pentafecta outcomes in radical prostatectomy? A systematic review and meta-analysis. BMC Urology. 2025;25:116. [16 studies, 21,851 patients; PSM higher in initial learning curve OR 2.06; BCR no significant difference]
    https://bmcurol.biomedcentral.com/articles/10.1186/s12894-025-01810-x
  6. Zhang Z et al. Robotic vs laparoscopic radical prostatectomy: the impact of surgeon volume on surgical margins and quality of life. American Journal of Cancer Research. 2025;15(12):5374–5385. [High-volume surgeons (>250 cases) had 96% lower odds of PSM vs. low-volume surgeons (<150 cases); OR 0.039; p<0.001; RARP 95.2% vs. LRP 80.2% continence at 12 months]
    https://e-century.us/files/ajcr/15/12/ajcr0170084.pdf
  7. Sancı A, Durak HM, Karadağ OB, et al. From first to final: how surgical experience affects robotic radical prostatectomy outcomes. Bulletin of Urooncology. 2025;24(1):19–24. [First 50 vs. last 50; continence 76% vs. 88%; p<0.05; PSM improvement]
    UroOncology Bulletin 2025
  8. Akand M, Erdogru T. The learning curve of robot-assisted radical prostatectomy. [120 patients; groups of 40; OT 182/168/139 min; PSM 22%/17%/6%; continence 72.5%/85%/92.5%; potency 60.5%/66.7%/76.6%; outcomes similar to high-volume centers at 80–120 cases for experienced surgeons]
    https://pubmed.ncbi.nlm.nih.gov/21815823/
  9. Wiatr T et al. [Laparoscopic series, 165 patients, 3 groups of 55]. Laparoscopic radical prostatectomy: the learning curve of a low volume surgeon. [Complications plateau after 51 cases; all other parameters stabilize after 110 cases; PSM 29.1%/21.8%/5.5% p=0.02]
    https://pmc.ncbi.nlm.nih.gov/articles/PMC3603712/
  10. Borghesi M, Brunocilla E, Schiavina R, et al. Analysis of Learning Curve in Robot-Assisted Radical Prostatectomy Performed by a Surgeon. [145 RARP; anastomotic leak 26.5% first group → 7% last group; continence 60.6%/75.7%/84.9% at 3/6/12 months]
    https://pubmed.ncbi.nlm.nih.gov/32547617/
  11. Haglind E, et al. [LAPPRO trial, 2,672 RARP patients, 7 Swedish centers, 8-year follow-up]. Learning curve for robot-assisted laparoscopic radical prostatectomy in a large prospective multicentre study. [Erectile function improved continuously with experience; oncological outcomes did not show same pattern]
    https://pubmed.ncbi.nlm.nih.gov/35546102/
  12. [UroToday review]. The Impact of Surgeon Experience and Volume on Patient Outcomes in Radical Prostatectomy Patients. [Review of Hu et al. — improvement plateau suggested 250–300 cases for sexual function; continence 60% → 90% over >400 cases; Matulewicz PSM feedback study; Kumar SuRep study]
    UroToday Review
  13. Tay LJ, Pan HYC, Spurling LJ, Dundee P. Comparative analysis of early outcomes of the first 150 cases of posterior approach RARP and identification of the learning curve: A single-surgeon series. BJUI Compass. 2025;6(7):e70058. [Retzius-sparing learning curve; ~150 prior standard cases before transition; early continence significantly improved across 3 cohorts; p=0.022]
    https://pmc.ncbi.nlm.nih.gov/articles/PMC12286756/
  14. Finocchiaro A, Buffi N, Aljoulani M, et al. Evaluating the learning curve for single-port radical prostatectomy: a multi-institutional cohort analysis. World Journal of Urology. 2025;43:621. [8 experienced multiport surgeons; proficiency at 20 cases (without PLND) to 42 cases (with PLND) for operative time]
    https://link.springer.com/article/10.1007/s00345-025-05974-x
  15. Marra G, Dell'Oglio P, et al. A systematic review of the impact of surgeon and hospital caseload volume on oncological and nononcological outcomes after radical prostatectomy for nonmetastatic prostate cancer. European Urology. 2021;79(6):683–713. [EAU systematic review; both surgeon and hospital volume independently predict outcomes]
    https://www.sciencedirect.com/science/article/abs/pii/S0302283821002980
  16. Chen S, Huang J, Zhang L, Xu Y, Zhang Z. Simulation-based training in robotic surgery education: bibliometric analysis and visualization. Journal of Robotic Surgery. 2024;18(1):324. doi:10.1007/s11701-024-02076-5 [Growing evidence base for simulation in reducing early learning curve]

 

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