Clinical utility of subclassifying positive surgical margins at radical prostatectomy Journal Article


Authors: Dason, S.; Vertosick, E. A.; Udo, K.; Sjoberg, D. D.; Vickers, A. J.; Al-Ahmadie, H.; Chen, Y. B.; Gopalan, A.; Sirintrapun, S. J.; Tickoo, S. K.; Scardino, P. T.; Eastham, J. A.; Reuter, V. E.; Fine, S. W.
Article Title: Clinical utility of subclassifying positive surgical margins at radical prostatectomy
Abstract: Objective: To determine whether subclassification of positive surgical margins (PSMs) increases predictive ability for biochemical recurrence (BCR) and aids clinical decision-making in patients undergoing radical prostatectomy. Patients and Methods: We studied 2147 patients with pT2 and pT3a prostate cancer with detailed surgical margin parameters and BCR status. We compared a base model, a linear predictor calculated from the Memorial Sloan Kettering Cancer Center postoperative nomogram (prostate-specific antigen, pathological tumour grade and stage), with the addition of surgical margin status to five additional models (base model plus surgical margin subclassifications) to evaluate enhancement in predictive accuracy. Decision curve analysis (DCA) was performed to determine the clinical utility of parameters that enhanced predictive accuracy. Results: Among 2147 men, 205 had PSMs, and 231 developed BCR. Discrimination for the base model with addition of surgical margin status was high (c-index = 0.801) and not meaningfully improved by adding surgical margin subclassification in the full cohort. In analyses considering only men with PSMs (N = 55 with BCR), adding surgical margin subclassification to the base model increased discrimination for total length of all PSMs – alone or with maximum Gleason grade at the margin (c-index improvement = 0.717 to 0.752 and 0.753, respectively). DCA demonstrated a modest benefit to clinical utility with the addition of these parameters. Conclusions: Specific subclassification parameters add predictive accuracy for BCR and may aid clinical utility in decision-making for patients with PSMs. These findings may be useful for patient counselling and future adjuvant therapy trial design. © 2021 The Authors BJU International © 2021 BJU International
Keywords: adult; major clinical study; classification; prediction; risk factor; prostate cancer; gleason score; prostatectomy; clinical decision making; biochemical recurrence; nomogram; positive surgical margin; surgical margin; human; male; article
Journal Title: BJU International
Volume: 129
Issue: 2
ISSN: 1464-4096
Publisher: Wiley Blackwell  
Date Published: 2022-02-01
Start Page: 194
End Page: 200
Language: English
DOI: 10.1111/bju.15524
PUBMED: 34161656
PROVIDER: scopus
PMCID: PMC9514027
DOI/URL:
Notes: Article -- Export Date: 1 March 2022 -- Source: Scopus
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MSK Authors
  1. Peter T Scardino
    671 Scardino
  2. Satish K Tickoo
    479 Tickoo
  3. Anuradha Gopalan
    412 Gopalan
  4. Yingbei Chen
    394 Chen
  5. Andrew J Vickers
    880 Vickers
  6. Daniel D. Sjoberg
    234 Sjoberg
  7. James Eastham
    537 Eastham
  8. Kazuma Udo
    11 Udo
  9. Samson W Fine
    458 Fine
  10. Victor Reuter
    1224 Reuter
  11. Emily Vertosick
    134 Vertosick
  12. Shawn Dason
    15 Dason