Optimizing active surveillance strategies to balance the competing goals of early detection of grade progression and minimizing harm from biopsies. Issue 4 (13th November 2017)
- Record Type:
- Journal Article
- Title:
- Optimizing active surveillance strategies to balance the competing goals of early detection of grade progression and minimizing harm from biopsies. Issue 4 (13th November 2017)
- Main Title:
- Optimizing active surveillance strategies to balance the competing goals of early detection of grade progression and minimizing harm from biopsies
- Authors:
- Barnett, Christine L.
Auffenberg, Gregory B.
Cheng, Zian
Yang, Fan
Wang, Jiachen
Wei, John T.
Miller, David C.
Montie, James E.
Mamawala, Mufaddal
Denton, Brian T. - Abstract:
- Abstract : BACKGROUND: Active surveillance (AS) for prostate cancer includes follow‐up with serial prostate biopsies. The optimal biopsy frequency during follow‐up has not been determined. The goal of this investigation was to use longitudinal AS biopsy data to assess whether the frequency of biopsy could be reduced without substantially prolonging the time to the detection of disease with a Gleason score ≥ 7. METHODS: With data from 1375 men with low‐risk prostate cancer enrolled in AS at Johns Hopkins, a hidden Markov model was developed to estimate the probability of undersampling at diagnosis, the annual probability of grade progression, and the 10‐year cumulative probability of reclassification or progression to Gleason score ≥ 7. It simulated 1024 potential AS biopsy strategies for the 10 years after diagnosis. For each of these strategies, the model predicted the mean delay in the detection of disease with a Gleason score ≥ 7. RESULTS: The model estimated the 10‐year cumulative probability of reclassification from a Gleason score of 6 to a Gleason score ≥ 7 to be 40.0%. The probability of undersampling at diagnosis was 9.8%, and the annual progression probability for men with a Gleason score of 6 was 4.0%. On the basis of these estimates, a simulation of an annual biopsy strategy estimated the mean time to the detection of disease with a Gleason score ≥ 7 to be 14.1 months; however, several strategies eliminated biopsies with only small delays (<12 months) inAbstract : BACKGROUND: Active surveillance (AS) for prostate cancer includes follow‐up with serial prostate biopsies. The optimal biopsy frequency during follow‐up has not been determined. The goal of this investigation was to use longitudinal AS biopsy data to assess whether the frequency of biopsy could be reduced without substantially prolonging the time to the detection of disease with a Gleason score ≥ 7. METHODS: With data from 1375 men with low‐risk prostate cancer enrolled in AS at Johns Hopkins, a hidden Markov model was developed to estimate the probability of undersampling at diagnosis, the annual probability of grade progression, and the 10‐year cumulative probability of reclassification or progression to Gleason score ≥ 7. It simulated 1024 potential AS biopsy strategies for the 10 years after diagnosis. For each of these strategies, the model predicted the mean delay in the detection of disease with a Gleason score ≥ 7. RESULTS: The model estimated the 10‐year cumulative probability of reclassification from a Gleason score of 6 to a Gleason score ≥ 7 to be 40.0%. The probability of undersampling at diagnosis was 9.8%, and the annual progression probability for men with a Gleason score of 6 was 4.0%. On the basis of these estimates, a simulation of an annual biopsy strategy estimated the mean time to the detection of disease with a Gleason score ≥ 7 to be 14.1 months; however, several strategies eliminated biopsies with only small delays (<12 months) in detecting grade progression. CONCLUSIONS: Although annual biopsy for low‐risk men on AS is associated with the shortest time to the detection of disease with a Gleason score ≥ 7, several alternative strategies may allow less frequent biopsying without sizable delays in detecting grade progression. Cancer 2018;124:698‐705. © 2017 American Cancer Society . Abstract : Active surveillance for low‐risk prostate cancers can reduce the harm of overtreatment; however, the optimal timing of surveillance biopsies is unknown. It is possible to perform fewer biopsies than previously recommended without significant delays in the detection of grade progression. … (more)
- Is Part Of:
- Cancer. Volume 124:Issue 4(2018)
- Journal:
- Cancer
- Issue:
- Volume 124:Issue 4(2018)
- Issue Display:
- Volume 124, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 124
- Issue:
- 4
- Issue Sort Value:
- 2018-0124-0004-0000
- Page Start:
- 698
- Page End:
- 705
- Publication Date:
- 2017-11-13
- Subjects:
- active surveillance -- biopsy -- Markov model -- prostate cancer -- reclassification
Cancer -- Periodicals
Cancer -- Cytopathology -- Periodicals
616.99405 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0142 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cncr.31101 ↗
- Languages:
- English
- ISSNs:
- 0008-543X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3046.450000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 5784.xml