Cost implications of multi-parametric magnetic resonance imaging in prostate cancer active surveillance.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 65-65
Author(s):  
Michelle Yu ◽  
Avinash Maganty ◽  
Liam C Macleod ◽  
Jonathan G Yabes ◽  
Mina M Fam ◽  
...  

65 Background: Multi-parametric resonance imaging (mpMRI) has emerged to improve disease risk-stratification and decrease number of repeat biopsies in men on prostate cancer active surveillance (AS). However, the impact of mpMRI on cost of AS has not been established. We thus characterize the impact mpMRI on cost of AS in the Medicare population. Methods: Using SEER-Medicare files we identified men ≥66 years old with localized grade group I-II prostate cancer diagnosed 2008-2013. With an established algorithm, we classified men into active surveillance with and without mpMRI. We then determined cost of surveillance in each group using inflation-adjusted Medicare payments for surveillance-related procedures and their sequalae (i.e. PSA tests, prostate biopsies, post-biopsy complications and mpMRIs). Multivariable median regression compared cost and procedural-intensity for men who received mpMRI and those who did not. Results: We identified 9,081 men on AS with median follow up 45 months (IQR 29-64 months). 7,856 (87%) men did not receive mpMRI and 1,225 (13%) did. On multivariable median regression, receipt of mpMRI was associated with an additional $449 (95%CI $391-$507) in Medicare payments per year. Younger age, treatment in the west or northeast, greater population density and treatment later in the study period were associated with increased cost of AS. Conclusions: Among Medicare beneficiaries on AS, mpMRI is associated with additional annual cost to Medicare. MpMRI may be a marker of more stringent AS, which is likely more costly than watchful waiting. Future studies are needed to determine optimal use of mpMRI during AS to maximize value.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 209-209
Author(s):  
David Monty Berman ◽  
Anna YW Lee ◽  
Robert Lesurf ◽  
Palak Patel ◽  
Walead Ebrahimizadeh ◽  
...  

209 Background: Histopathologic investigation of diagnostic prostate biopsies both confirms the presence of disease and estimates its potential for distal spread via tumour grade. The accuracy of biopsy grading is limited by intra-tumoral heterogeneity, inter-observer variability, and other factors. To improve risk stratification at the time of diagnosis, we sought to create objective molecular biomarkers of radical prostatectomy grade that are resistant to sampling error and should be useful when applied to biopsy tissue. Methods: We developed and validated a robust objective biomarker of prostate cancer grade using pathologic grading of prostatectomy tissues as the gold standard. We created training (333 patients) and validation (202 patients) cohorts of Cancer of the Prostate Risk Assessment (CAPRA) low- and intermediate-risk prostate cancer patients. To address intra-tumoral heterogeneity, each tumor was sampled at two locations. We profiled the abundance of 342 mRNAs complemented by 100 canonical DNA copy number aberration loci (CNAs) and 14 hypermethylation events. Using the training cohort with cross-validation, we evaluated models for training classifiers of pathologic Grade Group ≥2, Restricting to strategies resulting in true negative rates ≥0.5, true positive (TP) rates ≥0.8, we selected two strategies to train classifiers, PRONTO-e and PRONTO-m. Results: The PRONTO-e classifier comprises 353 mRNA and CNA features, while the PRONTO-m classifier comprises 94 mRNA, CNA, methylation and clinical features. Both classifiers (PRONTO-e, PRONTO-m) validated in the independent cohort, with respective TP rates of 0.809 and 0.760, false positive rates of 0.429 and 0.262, F1 scores of 0.709 and 0.724, and AUCs of 0.792 and 0.818. Conclusions: Two classifiers were developed and validated in separate cohorts, each achieved excellent performance by integrating different types of molecular data. Implementation of classifiers with these performance characteristics could markedly improve current active surveillance approaches without increasing patient morbidity and may help better inform patients on their individual need for definitive therapy versus active surveillance.


2012 ◽  
Vol 188 (4) ◽  
pp. 1252-1259 ◽  
Author(s):  
Joan F. Hilton ◽  
Sarah D. Blaschko ◽  
Jared M. Whitson ◽  
Janet E. Cowan ◽  
Peter R. Carroll

2020 ◽  
Vol 125 (6) ◽  
pp. 861-866 ◽  
Author(s):  
Mufaddal K. Mamawala ◽  
Alexa R. Meyer ◽  
Patricia K. Landis ◽  
Katarzyna J. Macura ◽  
Jonathan I. Epstein ◽  
...  

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