Literature DB >> 26158070

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy.

Geert J S Litjens1, Henkjan J Huisman1, Robin M Elliott2, Natalie Nc Shih3, Michael D Feldman3, Satish Viswanath2, Jurgen J Fütterer4, Joyce G R Bomers1, Anant Madabhushi2.   

Abstract

Laser interstitial thermotherapy (LITT) is a relatively new focal therapy technique for the ablation of localized prostate cancer. In this study, for the first time, we are integrating ex vivo pathology and magnetic resonance imaging (MRI) to assess the imaging characteristics of prostate cancer and treatment changes following LITT. Via a unique clinical trial, which gave us the availability of ex vivo histology and pre- and post-LITT MRIs, (1) we investigated the imaging characteristics of treatment effects and residual disease, and (2) evaluated treatment-induced feature changes in the ablated area relative to the residual disease. First, a pathologist annotated the ablated area and the residual disease on the ex vivo histology. Subsequently, we transferred the annotations to the post-LITT MRI using a semi-automatic elastic registration. The pre- and post-LITT MRIs were registered and features were extracted. A scoring metric based on the change in median pre- and post-LITT feature values was introduced, which allowed us to identify the most treatment responsive features. Our results show that (1) image characteristics for treatment effects and residual disease are different, and (2) the change of feature values between pre- and post-LITT MRIs can be a quantitative biomarker for treatment response. Finally, using feature change improved discrimination between the residual disease and treatment effects.

Entities:  

Keywords:  laser ablation therapy; magnetic resonance imaging; prostate cancer; treatment response

Year:  2014        PMID: 26158070      PMCID: PMC4478957          DOI: 10.1117/1.JMI.1.3.035001

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  25 in total

1.  Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans.

Authors:  Qiang Li; Shusuke Sone; Kunio Doi
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

2.  Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.

Authors:  Jonathan Chappelow; B Nicolas Bloch; Neil Rofsky; Elizabeth Genega; Robert Lenkinski; William DeWolf; Anant Madabhushi
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

3.  Prostatome: a combined anatomical and disease based MRI atlas of the prostate.

Authors:  Mirabela Rusu; B Nicolas Bloch; Carl C Jaffe; Elizabeth M Genega; Robert E Lenkinski; Neil M Rofsky; Ernest Feleppa; Anant Madabhushi
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

4.  Registration of prostate histology images to ex vivo MR images via strand-shaped fiducials.

Authors:  Eli Gibson; Cathie Crukley; Mena Gaed; José A Gómez; Madeleine Moussa; Joseph L Chin; Glenn S Bauman; Aaron Fenster; Aaron D Ward
Journal:  J Magn Reson Imaging       Date:  2012-07-31       Impact factor: 4.813

5.  Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer.

Authors:  Hari Trivedi; Baris Turkbey; Ardeshir R Rastinehad; Compton J Benjamin; Marcelino Bernardo; Thomas Pohida; Vijay Shah; Maria J Merino; Bradford J Wood; W Marston Linehan; Aradhana M Venkatesan; Peter L Choyke; Peter A Pinto
Journal:  Urology       Date:  2012-01       Impact factor: 2.649

6.  Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.

Authors:  Satish E Viswanath; Nicholas B Bloch; Jonathan C Chappelow; Robert Toth; Neil M Rofsky; Elizabeth M Genega; Robert E Lenkinski; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2012-02-15       Impact factor: 4.813

7.  Registering histologic and MR images of prostate for image-based cancer detection.

Authors:  Yiqiang Zhan; Yangming Ou; Michael Feldman; John Tomaszeweski; Christos Davatzikos; Dinggang Shen
Journal:  Acad Radiol       Date:  2007-11       Impact factor: 3.173

Review 8.  Do low-grade and low-volume prostate cancers bear the hallmarks of malignancy?

Authors:  Hashim Uddin Ahmed; Manit Arya; Alex Freeman; Mark Emberton
Journal:  Lancet Oncol       Date:  2012-11       Impact factor: 41.316

Review 9.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

10.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

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  5 in total

1.  Utility of Multiparametric MRI for Predicting Residual Clinically Significant Prostate Cancer After Focal Laser Ablation.

Authors:  Ely R Felker; Steven S Raman; David S K Lu; Mitch Tuttle; Daniel J Margolis; Fuad F ElKhoury; James Sayre; Leonard S Marks
Journal:  AJR Am J Roentgenol       Date:  2019-07-30       Impact factor: 3.959

2.  Classification of suspicious lesions on prostate multiparametric MRI using machine learning.

Authors:  Deukwoo Kwon; Isildinha M Reis; Adrian L Breto; Yohann Tschudi; Nicole Gautney; Olmo Zavala-Romero; Christopher Lopez; John C Ford; Sanoj Punnen; Alan Pollack; Radka Stoyanova
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-06

3.  Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.

Authors:  Geert J S Litjens; Robin Elliott; Natalie N C Shih; Michael D Feldman; Thiele Kobus; Christina Hulsbergen-van de Kaa; Jelle O Barentsz; Henkjan J Huisman; Anant Madabhushi
Journal:  Radiology       Date:  2015-07-17       Impact factor: 11.105

4.  Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings.

Authors:  Jacob Antunes; Satish Viswanath; Justin T Brady; Benjamin Crawshaw; Pablo Ros; Scott Steele; Conor P Delaney; Raj Paspulati; Joseph Willis; Anant Madabhushi
Journal:  Acad Radiol       Date:  2018-01-19       Impact factor: 3.173

5.  Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.

Authors:  Jacob Antunes; Satish Viswanath; Mirabela Rusu; Laia Valls; Christopher Hoimes; Norbert Avril; Anant Madabhushi
Journal:  Transl Oncol       Date:  2016-04       Impact factor: 4.243

  5 in total

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