Literature DB >> 31799874

Prognostic Value of Pretreatment MRI in Patients With Prostate Cancer Treated With Radiation Therapy: A Systematic Review and Meta-Analysis.

Sungmin Woo1, Sangwon Han2, Tae-Hyung Kim3, Chong Hyun Suh4, Antonio C Westphalen5,6, Hedvig Hricak1, Michael J Zelefsky7, Hebert Alberto Vargas1.   

Abstract

OBJECTIVE. Despite a substantial increase in the use of MRI for pretreatment evaluation of prostate cancer, its prognostic value in patients undergoing radiation therapy (RT) is not well known. Therefore, the purpose of this study was to systematically review the literature and perform a meta-analysis on the prognostic value of pretreatment MRI in patients with prostate cancer who underwent external beam radiation therapy (EBRT) or brachytherapy. MATERIALS AND METHODS. PubMed and Embase databases were searched for studies published on or before March 13, 2019. We included studies that evaluated pretreatment MRI as a prognostic factor in prostate cancer regarding biochemical recurrence (BCR), metastatic failure, and overall or cancer-specific mortality. Effect sizes were measured in terms of the hazard ratio (HR) and were meta-analytically pooled using the random-effects model. The quality of the studies was independently evaluated using the Quality in Prognostic Studies tool. RESULTS. Twelve studies (2205 patients) were included. All studies assessed BCR; metastasis was evaluated in three studies, and mortality was evaluated in one study. Extraprostatic extension (EPE), seminal vesicle invasion (SVI), large tumor size or volume, number of sextants involved, and tumor involvement of prostatic apex were significant prognostic factors of BCR (pooled HRs = 1.50-4.47). EPE, larger tumor size, greater tumor volume, presence of metastatic pelvic lymph nodes (LNs), and presence of SVI were significant risk factors for metastasis (pooled HRs = 1.12-11.96). Pelvic LN metastasis was significantly predictive of cancer-specific mortality (HR = 4.45 [95% CI, 1.30-15.23]). CONCLUSION. Several pretreatment MRI findings were significant prognostic factors in patients with prostate cancer who underwent RT.

Entities:  

Keywords:  MRI; meta-analysis; prognosis; radiotherapy; systematic review

Mesh:

Year:  2019        PMID: 31799874      PMCID: PMC7499902          DOI: 10.2214/AJR.19.21836

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  63 in total

1.  Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program.

Authors:  Rongwei Fu; Gerald Gartlehner; Mark Grant; Tatyana Shamliyan; Art Sedrakyan; Timothy J Wilt; Lauren Griffith; Mark Oremus; Parminder Raina; Afisi Ismaila; Pasqualina Santaguida; Joseph Lau; Thomas A Trikalinos
Journal:  J Clin Epidemiol       Date:  2011-04-07       Impact factor: 6.437

2.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

3.  Pretreatment 3T multiparametric MRI staging predicts for biochemical failure in high-risk prostate cancer treated with combination high-dose-rate brachytherapy and external beam radiotherapy.

Authors:  John V Hegde; D Jeffrey Demanes; Darlene Veruttipong; Jagdeep Raince; Sang-June Park; Steven S Raman; Nicholas G Nickols; Christopher R King; Amar U Kishan; Michael L Steinberg; Mitchell Kamrava
Journal:  Brachytherapy       Date:  2017-08-12       Impact factor: 2.362

4.  Prostate tumour volume is an independent predictor of early biochemical recurrence in a high risk radical prostatectomy subgroup.

Authors:  Matthew K H Hong; Benjamin Namdarian; Niall M Corcoran; John Pedersen; Declan G Murphy; Justin S Peters; Laurence Harewood; Nikhil Sapre; Kathryn Rzetelski-West; Anthony J Costello; Christopher M Hovens
Journal:  Pathology       Date:  2011-02       Impact factor: 5.306

5.  Predicting 15-year prostate cancer specific mortality after radical prostatectomy.

Authors:  Scott E Eggener; Peter T Scardino; Patrick C Walsh; Misop Han; Alan W Partin; Bruce J Trock; Zhaoyong Feng; David P Wood; James A Eastham; Ofer Yossepowitch; Danny M Rabah; Michael W Kattan; Changhong Yu; Eric A Klein; Andrew J Stephenson
Journal:  J Urol       Date:  2011-01-15       Impact factor: 7.450

6.  Prostate cancer: prediction of biochemical failure after external-beam radiation therapy--Kattan nomogram and endorectal MR imaging estimation of tumor volume.

Authors:  Antonio C Westphalen; Walter J Koff; Fergus V Coakley; Valdair F Muglia; John M Neuhaus; Ralph T Marcus; John Kurhanewicz; Rebecca Smith-Bindman
Journal:  Radiology       Date:  2011-08-24       Impact factor: 11.105

7.  Optimized coverage of high-risk adjuvant lymph node areas in prostate cancer using a sentinel node-based, intensity-modulated radiation therapy technique.

Authors:  Ute Ganswindt; Frank Paulsen; Stefan Corvin; Ilse Hundt; Markus Alber; Bettina Frey; Arnulf Stenzl; Roland Bares; Michael Bamberg; Claus Belka
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-02-01       Impact factor: 7.038

Review 8.  The Diagnostic Performance of MRI for Detection of Lymph Node Metastasis in Bladder and Prostate Cancer: An Updated Systematic Review and Diagnostic Meta-Analysis.

Authors:  Sungmin Woo; Chong Hyun Suh; Sang Youn Kim; Jeong Yeon Cho; Seung Hyup Kim
Journal:  AJR Am J Roentgenol       Date:  2018-01-30       Impact factor: 3.959

9.  Prostate post-implant dosimetry: interobserver variability in seed localisation, contouring and fusion.

Authors:  Marisol De Brabandere; Peter Hoskin; Karin Haustermans; Frank Van den Heuvel; Frank-André Siebert
Journal:  Radiother Oncol       Date:  2012-07-31       Impact factor: 6.280

10.  Volumetry of the dominant intraprostatic tumour lesion: intersequence and interobserver differences on multiparametric MRI.

Authors:  Hugh Harvey; Matthew R Orton; Veronica A Morgan; Chris Parker; David Dearnaley; Cyril Fisher; Nandita M deSouza
Journal:  Br J Radiol       Date:  2017-01-05       Impact factor: 3.039

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  3 in total

Review 1.  The role of radiomics in prostate cancer radiotherapy.

Authors:  Rodrigo Delgadillo; John C Ford; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova
Journal:  Strahlenther Onkol       Date:  2020-08-21       Impact factor: 3.621

Review 2.  The role of MRI in prostate cancer: current and future directions.

Authors:  Maria Clara Fernandes; Onur Yildirim; Sungmin Woo; Hebert Alberto Vargas; Hedvig Hricak
Journal:  MAGMA       Date:  2022-03-16       Impact factor: 2.533

3.  Identifying the knowledge structure of electromagnetic fields and health research: Text network analysis and topic modeling.

Authors:  GyeongAe Seomun; Suyeon Ban; Jinkyung Park
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

  3 in total

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