Literature DB >> 22357998

Diffusion-weighted MRI for locally recurrent prostate cancer after external beam radiotherapy.

Veronica A Morgan1, Sophie F Riches, Sharon Giles, David Dearnaley, Nandita M deSouza.   

Abstract

OBJECTIVE: The objectives of our study were to establish the apparent diffusion coefficients (ADCs) of tumor and nontumor irradiated tissues in patients with suspected postradiation recurrence of prostate cancer and to determine the sensitivity and specificity of a combination of T2-weighted and diffusion-weighted imaging (DWI) for detecting local recurrence.
MATERIALS AND METHODS: Twenty-four patients with rising prostate-specific antigen levels after having completed radiation therapy 30-130 months earlier (median, 62 months) underwent endorectal T2-weighted imaging and DWI (b = 0, 100, 300, 500, and 800 s/mm(2)) followed by transrectal ultrasound (TRUS)-guided biopsy. Images were scored prospectively as positive for tumor if a region of low signal intensity on T2-weighted imaging within the prostate corresponded with a focally restricted area on the ADC map. A region of interest (ROI) was drawn around the suspicious lesion on a single slice of the ADC map and a corresponding ROI was drawn around presumed nontumor irradiated peripheral zone and central gland tissues on the opposite side of the prostate. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were determined against TRUS-guided biopsy reference standard (octant, n = 17; sextant, n = 5; two samples, n = 1; 12 samples, n = 1).
RESULTS: Sixteen of 24 patients (66.7%) had positive histology findings. The median tumor ROI area was 0.37 cm(2) (quartiles, 0.30 and 0.82 cm(2)). The sensitivity, specificity, PPV, and NPV for detecting tumor were 93.8%, 75%, 88.2%, and 85.7%, respectively. A cutoff ADC of 1216 × 10(-6) mm(2)/s could predict tumor with 100% sensitivity and 96% specificity (area under the receiver operating characteristic curve = 0.992).
CONCLUSION: An ADC derived from DWI is a useful adjunct to T2-weighted MRI for detecting local tumor recurrence larger than 0.4 cm(2) within the prostate.

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Year:  2012        PMID: 22357998     DOI: 10.2214/AJR.11.7162

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


  19 in total

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Authors:  Mark Notley; Jinxing Yu; Ann S Fulcher; Mary Ann Turner; Charles H Cockrell; Don Nguyen
Journal:  Br J Radiol       Date:  2015-08-13       Impact factor: 3.039

2.  Multiparametric MRI for detection of radiorecurrent prostate cancer: added value of apparent diffusion coefficient maps and dynamic contrast-enhanced images.

Authors:  M Abd-Alazeez; N Ramachandran; N Dikaios; H U Ahmed; M Emberton; A Kirkham; M Arya; S Taylor; S Halligan; S Punwani
Journal:  Prostate Cancer Prostatic Dis       Date:  2015-02-03       Impact factor: 5.554

3.  Multiparametric magnetic resonance imaging of prostate: the evolution of a technique.

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Journal:  Radiol Bras       Date:  2014 Sep-Oct

Review 4.  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

5.  Prostate cancer recurrence after radical prostatectomy: the role of 3-T diffusion imaging in multi-parametric magnetic resonance imaging.

Authors:  Valeria Panebianco; Flavio Barchetti; Alessandro Sciarra; Daniela Musio; Valerio Forte; Vincenzo Gentile; Vincenzo Tombolini; Carlo Catalano
Journal:  Eur Radiol       Date:  2013-02-02       Impact factor: 5.315

Review 6.  Multiparametric Magnetic Resonance Imaging of Recurrent Prostate Cancer.

Authors:  Francesca V Mertan; Matthew D Greer; Sam Borofsky; Ismail M Kabakus; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
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7.  Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint.

Authors:  Liang Li; Liang Wang; Zhaoyan Feng; Zhiquan Hu; Guoping Wang; Xianglin Yuan; He Wang; Daoyu Hu
Journal:  Quant Imaging Med Surg       Date:  2013-04

Review 8.  The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective.

Authors:  Robert H Press; Hui-Kuo G Shu; Hyunsuk Shim; James M Mountz; Brenda F Kurland; Richard L Wahl; Ella F Jones; Nola M Hylton; Elizabeth R Gerstner; Robert J Nordstrom; Lori Henderson; Karen A Kurdziel; Bhadrasain Vikram; Michael A Jacobs; Matthias Holdhoff; Edward Taylor; David A Jaffray; Lawrence H Schwartz; David A Mankoff; Paul E Kinahan; Hannah M Linden; Philippe Lambin; Thomas J Dilling; Daniel L Rubin; Lubomir Hadjiiski; John M Buatti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-30       Impact factor: 7.038

9.  Detection and staging of radio-recurrent prostate cancer using multiparametric MRI.

Authors:  Jie-Ying Kowa; Neil Soneji; S Aslam Sohaib; Erik Mayer; Stephen Hazell; Nicholas Butterfield; Joshua Shur; Derfel Ap Dafydd
Journal:  Br J Radiol       Date:  2021-02-15       Impact factor: 3.039

10.  Pitfalls in Interpreting mp-MRI of the Prostate: A Pictorial Review with Pathologic Correlation.

Authors:  V Panebianco; F Barchetti; J Barentsz; A Ciardi; F Cornud; J Futterer; G Villeirs
Journal:  Insights Imaging       Date:  2015-09-18
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