scholarly journals Trends in Diagnosis of Gleason Score 2 Through 4 Prostate Cancer in the National Cancer Database, 1990–2013

2017 ◽  
Vol 141 (12) ◽  
pp. 1686-1696 ◽  
Author(s):  
Ted Gansler ◽  
Stacey A. Fedewa ◽  
Chun Chieh Lin ◽  
Mahul B. Amin ◽  
Ahmedin Jemal ◽  
...  

Context.— The incidence of prostate cancer with Gleason scores 2 through 4 has been decreasing for decades, largely because of evolving criteria for Gleason scores, including the 2005 International Society of Urological Pathology recommendation that scores of 2 through 4 should rarely, if ever, be diagnosed based on needle biopsy. Whether trends in assigning Gleason scores 2 through 4 vary by facility type and patient characteristics is unknown. Objective.— To assess trends in prostate cancer grading among various categories of treatment facilities. Design.— Analyses of National Cancer Database records from 1990 through 2013 for 434 612 prostate cancers diagnosed by core needle biopsy, including multivariable regression for 106 331 patients with clinical T1c disease diagnosed from 2004 through 2013. Results.— The proportion of prostate core needle biopsies with Gleason scores 2 through 4 declined from 11 476 of 53 850 (21.3%) (1990–1994) to 96 of 43 566 (0.2%) (2010–2013). The proportions of American Joint Committee on Cancer category T1c needle biopsies assigned Gleason scores 2 through 4 were 416 of 12 796 (3.3%) and 9 of 7194 (0.1%) during 2004 and 2013, respectively. Declines occurred earliest at National Cancer Institute–designated programs and latest at community programs. A multivariable logistic model adjusting for patient demographic and clinical variables and restricted to T1c cancers diagnosed in needle biopsies from 2004 through 2013 showed that facility type is independently associated with the likelihood of cancers in such specimens being assigned Gleason scores of 2 through 4, with community centers having a statistically significant odds ratio of 5.99 relative to National Cancer Institute–designated centers. Conclusions.— These results strongly suggest differences in Gleason grading by pathologists practicing in different facility categories and variations in their promptness of adopting International Society of Urological Pathology recommendations.

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1860 ◽  
Author(s):  
Han Suk Ryu ◽  
Min-Sun Jin ◽  
Jeong Hwan Park ◽  
Sanghun Lee ◽  
Joonyoung Cho ◽  
...  

The Gleason grading system, currently the most powerful prognostic predictor of prostate cancer, is based solely on the tumor’s histological architecture and has high inter-observer variability. We propose an automated Gleason scoring system based on deep neural networks for diagnosis of prostate core needle biopsy samples. To verify its efficacy, the system was trained using 1133 cases of prostate core needle biopsy samples and validated on 700 cases. Further, system-based diagnosis results were compared with reference standards derived from three certified pathologists. In addition, the system’s ability to quantify cancer in terms of tumor length was also evaluated via comparison with pathologist-based measurements. The results showed a substantial diagnostic concordance between the system-grade group classification and the reference standard (0.907 quadratic-weighted Cohen’s kappa coefficient). The system tumor length measurements were also notably closer to the reference standard (correlation coefficient, R = 0.97) than the original hospital diagnoses (R = 0.90). We expect this system to assist pathologists to reduce the probability of over- or under-diagnosis by providing pathologist-level second opinions on the Gleason score when diagnosing prostate biopsy, and to support research on prostate cancer treatment and prognosis by providing reproducible diagnosis based on the consistent standards.


2020 ◽  
Vol 30 (9) ◽  
pp. 4806-4815 ◽  
Author(s):  
Marc R. Liechti ◽  
Urs J. Muehlematter ◽  
Aurelia F. Schneider ◽  
Daniel Eberli ◽  
Niels J. Rupp ◽  
...  

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 49-49 ◽  
Author(s):  
Michael Donovan ◽  
Phillipp Torkler ◽  
Johan Skog ◽  
Mikkel Noerholm ◽  
Peter Carroll

49 Background: Overdetection and overtreatment of indolent prostate cancer (PCa) remains a significant health issue requiring noninvasive assays to guide the prostate biopsy decision process. We demonstrated that a urine exosome gene expression assay (ExoDx P rostate ( I ntelliScore) (EPI) discriminates GS 7 PCa from GS 6 and benign disease, potentially reducing the number of unnecessary biopsies. The International Society of Urological Pathology (ISUP) proposed a prognostic PCa grading system to accurately reflect the biology of PCa; ISUP separates GS 7 PCa into group 2 (GS 3+4) and group 3 (GS 4+3). We sought to evaluate the performance of the EPI test according to the newly proposed ISUP system. Methods: The 519 patient validation cohort was re-annotated using ISUP and assessed benign (B) +/- ISUP 1 and B+ISUP 1+2 (GS 3+3, GS 3+4) from ISUP 3-5 (GS >= 4+3). We used validated / adjusted cut-points to assess performance with the AUC, sensitivity, specificity and NPV. In addition, we investigated the association of the EPI score with the benign biopsies (BB) and ISUP groups in the combined training and test cohort (n=774). Results: Applying the adjusted cut point (EPI 20) on the 519 ISUP cohort discriminated benign biopsies (BB) + ISUP 1 from >/=ISUP 2, 37% of biopsies avoided, NPV of 90%, equivalent to Gleason grading. Utilizing either the validated (15.6) or adjusted cut points on BB+ISUP 1+ 2 vs. >/=ISUP 3 (dominant pattern 4), 26% vs 37% biopsies avoided, with an improved NPV 98%. In the combined training / test cohort, higher EPI scores were significantly associated with ISUP categories. In this analysis EPI in BB vs. all ISUP groups (p<0.0001); BB+ISUP 1 vs. >/= ISUP2 (p<0.0001) and BB+ISUP 1+2 vs. >/=ISUP3 (p<0.0001); supporting accurate discrimination in high grade PCa. Conclusions: The EPI test is a noninvasive, first-catch non-DRE gene expression assay that accurately discriminates low-grade from high-grade PCa in both ISUP as well as Gleason score based grading systems. The test has the potential to reduce the number of unnecessary biopsies and performs equally well in contemporary approaches to PCa stratification.


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