Literature DB >> 33207133

Oncologic Outcomes after Localized Prostate Cancer Treatment: Associations with Pretreatment Prostate Magnetic Resonance Imaging Findings.

Andreas G Wibmer1, Joshua Chaim1, Yulia Lakhman1, Robert A Lefkowitz1, Josip Nincevic1, Ines Nikolovski1, Evis Sala1, Mithat Gonen2, Sigrid V Carlsson2,3,4, Samson W Fine5, Michael J Zelefsky6, Peter Scardino3, Hedvig Hricak1, Hebert Alberto Vargas1.   

Abstract

PURPOSE: We investigated whether T2-weighted magnetic resonance imaging findings could improve upon established prognostic indicators of metastatic disease and prostate cancer specific survival.
MATERIALS AND METHODS: For a cohort of 3,406 consecutive men who underwent prostate magnetic resonance imaging before prostatectomy (2,160) or radiotherapy (1,246) between 2001 and 2006, T2-weighted magnetic resonance imaging exams were retrospectively interpreted and categorized as I) no focal suspicious lesion, II) organ confined focal lesion, III) focal lesion with extraprostatic extension or IV) focal lesion with seminal vesicle invasion. Clinical risk was recorded based on European Association of Urology (EAU) guidelines and the Cancer of the Prostate Risk Assessment (CAPRA) scoring system. Survival probabilities and c-indices were estimated using Cox models and inverse probability censoring weights, respectively.
RESULTS: The median followup was 10.8 years (IQR 8.6-13.0). Higher magnetic resonance imaging categories were associated with a higher likelihood of developing metastases (HR 3.5-18.1, p <0.001 for all magnetic resonance imaging categories) and prostate cancer death (HR 3.1-29.7, p <0.001-0.025); these associations were statistically independent of EAU risk categories, CAPRA scores and treatment type (surgery vs radiation). Combining EAU risk or CAPRA scores with magnetic resonance imaging categories significantly improved prognostication of metastases (c-indices: EAU: 0.798, EAU + magnetic resonance imaging: 0.872; CAPRA: 0.808, CAPRA + magnetic resonance imaging: 0.877) and prostate cancer death (c-indices: EAU 0.813, EAU + magnetic resonance imaging: 0.889; CAPRA: 0.814, CAPRA + magnetic resonance imaging: 0.892; p <0.001 for all).
CONCLUSION: Magnetic resonance imaging findings of localized prostate cancer are associated with clinically relevant long-term oncologic outcomes. Combining magnetic resonance imaging and clinicopathological data results in more accurate prognostication, which could facilitate individualized patient management.

Entities:  

Keywords:  disease-free survival; magnetic resonance imaging; prognosis; prostatic neoplasms; risk assessment

Mesh:

Year:  2020        PMID: 33207133      PMCID: PMC8162930          DOI: 10.1097/JU.0000000000001474

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  25 in total

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Authors:  W C Allsbrook; K A Mangold; M H Johnson; R B Lane; C G Lane; J I Epstein
Journal:  Hum Pathol       Date:  2001-01       Impact factor: 3.466

2.  On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

Authors:  Hajime Uno; Tianxi Cai; Michael J Pencina; Ralph B D'Agostino; L J Wei
Journal:  Stat Med       Date:  2011-01-13       Impact factor: 2.373

3.  Diagnosis of Extracapsular Extension of Prostate Cancer on Prostate MRI: Impact of Second-Opinion Readings by Subspecialized Genitourinary Oncologic Radiologists.

Authors:  Andreas Wibmer; Hebert Alberto Vargas; Timothy F Donahue; Junting Zheng; Chaya Moskowitz; James Eastham; Evis Sala; Hedvig Hricak
Journal:  AJR Am J Roentgenol       Date:  2015-07       Impact factor: 3.959

4.  Comparison of Magnetic Resonance Imaging and Transrectal Ultrasound Informed Prostate Biopsy for Prostate Cancer Diagnosis in Biopsy Naïve Men: A Systematic Review and Meta-Analysis.

Authors:  Hanan Goldberg; Ardalan E Ahmad; Thenappan Chandrasekar; Laurence Klotz; Mark Emberton; Masoom A Haider; Samir S Taneja; Karan Arora; Neil Fleshner; Antonio Finelli; Nathan Perlis; Mark D Tyson; Zachary Klaassen; Christopher J D Wallis
Journal:  J Urol       Date:  2019-10-14       Impact factor: 7.450

5.  Interactive dedicated training curriculum improves accuracy in the interpretation of MR imaging of prostate cancer.

Authors:  Oguz Akin; Christopher C Riedl; Nicole M Ishill; Chaya S Moskowitz; Jingbo Zhang; Hedvig Hricak
Journal:  Eur Radiol       Date:  2010-04       Impact factor: 5.315

6.  Long-Term Outcomes of Active Surveillance for Prostate Cancer: The Memorial Sloan Kettering Cancer Center Experience.

Authors:  Sigrid Carlsson; Nicole Benfante; Ricardo Alvim; Daniel D Sjoberg; Andrew Vickers; Victor E Reuter; Samson W Fine; Hebert Alberto Vargas; Michal Wiseman; Maha Mamoor; Behfar Ehdaie; Vincent Laudone; Peter Scardino; James Eastham; Karim Touijer
Journal:  J Urol       Date:  2019-12-23       Impact factor: 7.450

7.  Hormonal ablation of prostatic cancer: effects on prostate morphology, tumor detection, and staging by endorectal coil MR imaging.

Authors:  M Chen; H Hricak; C L Kalbhen; J Kurhanewicz; D B Vigneron; J M Weiss; P R Carroll
Journal:  AJR Am J Roentgenol       Date:  1996-05       Impact factor: 3.959

8.  Magnetic Resonance Imaging for the Detection of High Grade Cancer in the Canary Prostate Active Surveillance Study.

Authors:  Michael A Liss; Lisa F Newcomb; Yingye Zheng; Michael P Garcia; Christopher P Filson; Hilary Boyer; James D Brooks; Peter R Carroll; Matthew R Cooperberg; William J Ellis; Martin E Gleave; Frances M Martin; Todd Morgan; Peter S Nelson; Andrew A Wagner; Ian M Thompson; Daniel W Lin
Journal:  J Urol       Date:  2020-04-28       Impact factor: 7.450

9.  Models predicting survival to guide treatment decision-making in newly diagnosed primary non-metastatic prostate cancer: a systematic review.

Authors:  David Thurtle; Sabrina H Rossi; Brendan Berry; Paul Pharoah; Vincent J Gnanapragasam
Journal:  BMJ Open       Date:  2019-06-22       Impact factor: 2.692

10.  Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods.

Authors:  J Ferlay; M Colombet; I Soerjomataram; C Mathers; D M Parkin; M Piñeros; A Znaor; F Bray
Journal:  Int J Cancer       Date:  2018-12-06       Impact factor: 7.396

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  5 in total

1.  Local Extent of Prostate Cancer at MRI versus Prostatectomy Histopathology: Associations with Long-term Oncologic Outcomes.

Authors:  Andreas G Wibmer; Ines Nikolovski; Joshua Chaim; Yulia Lakhman; Robert A Lefkowitz; Evis Sala; Sigrid V Carlsson; Samson W Fine; Michael W Kattan; Hedvig Hricak; Hebert Alberto Vargas
Journal:  Radiology       Date:  2021-12-21       Impact factor: 11.105

Review 2.  Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI.

Authors:  Durgesh Kumar Dwivedi; Naranamangalam R Jagannathan
Journal:  MAGMA       Date:  2022-07-22       Impact factor: 2.533

3.  Risk Estimation of Metastatic Recurrence After Prostatectomy: A Model Using Preoperative Magnetic Resonance Imaging and Targeted Biopsy.

Authors:  Thomas Bommelaere; Arnauld Villers; Philippe Puech; Guillaume Ploussard; Julien Labreuche; Elodie Drumez; Xavier Leroy; Jonathan Olivier
Journal:  Eur Urol Open Sci       Date:  2022-05-19

4.  Local Failure after Prostate SBRT Predominantly Occurs in the PI-RADS 4 or 5 Dominant Intraprostatic Lesion.

Authors:  Daniel Gorovets; Andreas G Wibmer; Assaf Moore; Stephanie Lobaugh; Zhigang Zhang; Marisa Kollmeier; Sean McBride; Michael J Zelefsky
Journal:  Eur Urol Oncol       Date:  2022-03-17

5.  Assessing the impact of MRI based diagnostics on pre-treatment disease classification and prognostic model performance in men diagnosed with new prostate cancer from an unscreened population.

Authors:  Artitaya Lophatananon; Matthew H V Byrne; Tristan Barrett; Anne Warren; Kenneth Muir; Ibifuro Dokubo; Fanos Georgiades; Mostafa Sheba; Lisa Bibby; Vincent J Gnanapragasam
Journal:  BMC Cancer       Date:  2022-08-11       Impact factor: 4.638

  5 in total

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