Literature DB >> 30451345

Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Amita Shukla-Dave1,2, Nancy A Obuchowski3, Thomas L Chenevert4, Sachin Jambawalikar5, Lawrence H Schwartz5, Dariya Malyarenko4, Wei Huang6, Susan M Noworolski7, Robert J Young2, Mark S Shiroishi8, Harrison Kim9, Catherine Coolens10, Hendrik Laue11, Caroline Chung12, Mark Rosen13, Michael Boss14, Edward F Jackson15.   

Abstract

Physiological properties of tumors can be measured both in vivo and noninvasively by diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging. Although these techniques have been used for more than two decades to study tumor diffusion, perfusion, and/or permeability, the methods and studies on how to reduce measurement error and bias in the derived imaging metrics is still lacking in the literature. This is of paramount importance because the objective is to translate these quantitative imaging biomarkers (QIBs) into clinical trials, and ultimately in clinical practice. Standardization of the image acquisition using appropriate phantoms is the first step from a technical performance standpoint. The next step is to assess whether the imaging metrics have clinical value and meet the requirements for being a QIB as defined by the Radiological Society of North America's Quantitative Imaging Biomarkers Alliance (QIBA). The goal and mission of QIBA and the National Cancer Institute Quantitative Imaging Network (QIN) initiatives are to provide technical performance standards (QIBA profiles) and QIN tools for producing reliable QIBs for use in the clinical imaging community. Some of QIBA's development of quantitative diffusion-weighted imaging and dynamic contrast-enhanced QIB profiles has been hampered by the lack of literature for repeatability and reproducibility of the derived QIBs. The available research on this topic is scant and is not in sync with improvements or upgrades in MRI technology over the years. This review focuses on the need for QIBs in oncology applications and emphasizes the importance of the assessment of their reproducibility and repeatability. Level of Evidence: 5 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2019;49:e101-e121.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  DCE; DWI; MRI; quantitative imaging biomarkers

Mesh:

Substances:

Year:  2018        PMID: 30451345      PMCID: PMC6526078          DOI: 10.1002/jmri.26518

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   5.119


  133 in total

1.  Multishot diffusion-weighted FSE using PROPELLER MRI.

Authors:  James G Pipe; Victoria G Farthing; Kirsten P Forbes
Journal:  Magn Reson Med       Date:  2002-01       Impact factor: 4.668

2.  Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain.

Authors:  Adolf Pfefferbaum; Elfar Adalsteinsson; Edith V Sullivan
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

3.  Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies.

Authors:  Caleb Roberts; Basma Issa; Andrew Stone; Alan Jackson; John C Waterton; Geoffrey J M Parker
Journal:  J Magn Reson Imaging       Date:  2006-04       Impact factor: 4.813

4.  Diagnostic architectural and dynamic features at breast MR imaging: multicenter study.

Authors:  Mitchell D Schnall; Jeffrey Blume; David A Bluemke; Gia A DeAngelis; Nanette DeBruhl; Steven Harms; Sylvia H Heywang-Köbrunner; Nola Hylton; Christiane K Kuhl; Etta D Pisano; Petrina Causer; Stuart J Schnitt; David Thickman; Carol B Stelling; Paul T Weatherall; Constance Lehman; Constantine A Gatsonis
Journal:  Radiology       Date:  2006-01       Impact factor: 11.105

5.  Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma.

Authors:  A Jackson; G C Jayson; K L Li; X P Zhu; D R Checkley; J J L Tessier; J C Waterton
Journal:  Br J Radiol       Date:  2003-03       Impact factor: 3.039

6.  MR imaging of tumor microcirculation: promise for the new millennium.

Authors:  J S Taylor; P S Tofts; R Port; J L Evelhoch; M Knopp; W E Reddick; V M Runge; N Mayr
Journal:  J Magn Reson Imaging       Date:  1999-12       Impact factor: 4.813

7.  Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors.

Authors:  T L Chenevert; L D Stegman; J M Taylor; P L Robertson; H S Greenberg; A Rehemtulla; B D Ross
Journal:  J Natl Cancer Inst       Date:  2000-12-20       Impact factor: 13.506

8.  Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI.

Authors:  Geoff J M Parker; Caleb Roberts; Andrew Macdonald; Giovanni A Buonaccorsi; Sue Cheung; David L Buckley; Alan Jackson; Yvonne Watson; Karen Davies; Gordon C Jayson
Journal:  Magn Reson Med       Date:  2006-11       Impact factor: 4.668

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.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640

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  66 in total

1.  Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Alexandria Brackett; Reza Forghani; Ajay Malhotra
Journal:  Neuroradiology       Date:  2019-06-07       Impact factor: 2.804

2.  AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Authors:  Isabella Castiglioni; Francesca Gallivanone; Paolo Soda; Michele Avanzo; Joseph Stancanello; Marco Aiello; Matteo Interlenghi; Marco Salvatore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

3.  ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Floris J Pos; Vivian W J van Pelt; Marlies E Nowee; Andreas Wetscherek; Rob H N Tijssen; Marielle E P Philippens; Daniela Thorwarth; Jihong Wang; Amita Shukla-Dave; William A Hall; Eric S Paulson; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2020-10-02       Impact factor: 6.280

Review 4.  Recent advances in MRI of the head and neck, skull base and cranial nerves: new and evolving sequences, analyses and clinical applications.

Authors:  Philip Touska; Steve E J Connor
Journal:  Br J Radiol       Date:  2019-09-24       Impact factor: 3.039

Review 5.  CAD and AI for breast cancer-recent development and challenges.

Authors:  Heang-Ping Chan; Ravi K Samala; Lubomir M Hadjiiski
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

6.  Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer.

Authors:  Vivian Youngjean Park; Sungheon G Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
Journal:  Magn Reson Imaging       Date:  2019-07-16       Impact factor: 2.546

Review 7.  Imaging for Response Assessment in Radiation Oncology: Current and Emerging Techniques.

Authors:  Sonja Stieb; Kendall Kiser; Lisanne van Dijk; Nadia Roxanne Livingstone; Hesham Elhalawani; Baher Elgohari; Brigid McDonald; Juan Ventura; Abdallah Sherif Radwan Mohamed; Clifton David Fuller
Journal:  Hematol Oncol Clin North Am       Date:  2019-10-31       Impact factor: 3.722

8.  Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Aimee Chan; Pejman Jabehdar Maralani; Ajay Malhotra
Journal:  Neuroradiol J       Date:  2019-05-14

9.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

10.  Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material-enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging.

Authors:  Stefanie J Hectors; Sara Lewis; Paul Kennedy; Octavia Bane; Daniela Said; Maxwell Segall; Myron Schwartz; Edward Kim; Bachir Taouli
Journal:  Radiol Imaging Cancer       Date:  2020-07-24
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