Literature DB >> 34476184

Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma.

Mandi Wang1, Jose A U Perucho1, Peng Cao1, Varut Vardhanabhuti1, Di Cui1, Yiang Wang1, Pek-Lan Khong1, Edward S Hui2, Elaine Y P Lee1.   

Abstract

BACKGROUND: Magnetic resonance fingerprinting (MRF) is a fast-imaging acquisition technique that generates quantitative and co-registered parametric maps. The aim of this feasibility study was to evaluate the agreement between MRF and phantom reference values, scan-rescan repeatability of MRF in normal cervix, and its ability to distinguish cervical carcinoma (CC) from normal cervical tissues.
METHODS: An International Society of Magnetic Resonance in Medicine/National Institute of Standards and Technology (ISMRM/NIST) phantom was scanned using MRF 15 times over 65 days. Agreement between MRF and phantom reference T1 and T2 values was assessed by linear regression. Healthy volunteers and patients with suspected CC were prospectively recruited. MRF was repeated twice for healthy volunteers (MRF1 and MRF2). Volumes of interest of normal cervical tissues and CC were delineated on T1 and T2 maps. MRF scan-rescan repeatability was evaluated by Bland-Altman plots, within-subject coefficients of variation (wCV), and intraclass correlation coefficients (ICC). T1 and T2 values were compared between CC and normal cervical tissues using Mann-Whitney U test. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic efficiency.
RESULTS: Strong correlations were observed between MRF and phantom (R2=0.999 for T1, 0.981 for T2). Twelve healthy volunteers (28.7±5.1 years) and 28 patients with CC (54.6±15.2 years) were recruited for the in-vivo experiments. Repeatability of MRF parameters were wCV <3% for T1, <5% for T2 and ICC ≥0.92 for T1, ≥0.94 for T2. T1 value of CC (1,529±112 ms) was higher than normal mucosa [MRF1: 1,430±129 ms, MRF2: 1,440±130 ms; P=0.031, area under the curve (AUC) ≥0.717] and normal stroma (MRF1: 1,258±101 ms, MRF2: 1,276±105 ms; P<0.001, AUC ≥0.946). T2 value of CC (69±9 ms) was lower than normal mucosa (MRF1: 88±16 ms, MRF2: 87±13 ms; P<0.001, AUC ≥0.854), but was not different from normal stroma (P=0.919).
CONCLUSIONS: Excellent agreement was observed between MRF and phantom reference values. MRF exhibited excellent scan-rescan repeatability in normal cervix with potential value in differentiating CC from normal cervical tissues. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Magnetic resonance fingerprinting (MRF); cervical carcinoma (CC); quantitative magnetic resonance imaging (quantitative MRI); repeatability

Year:  2021        PMID: 34476184      PMCID: PMC8339665          DOI: 10.21037/qims-20-1382

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  36 in total

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Authors:  H H Lien
Journal:  Acta Radiol       Date:  1999-05       Impact factor: 1.990

Review 2.  Spectrum of mucin-producing neoplastic conditions of the abdomen and pelvis: cross-sectional imaging evaluation.

Authors:  Nam Kyung Lee; Suk Kim; Hyun Sung Kim; Tae Yong Jeon; Gwang Ha Kim; Dong Uk Kim; Do Youn Park; Tae Un Kim; Dae Hwan Kang
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Review 3.  Clinical applications of dual-channel transmit MRI: A review.

Authors:  Wyger M Brink; Vikas Gulani; Andrew G Webb
Journal:  J Magn Reson Imaging       Date:  2015-04-09       Impact factor: 4.813

4.  MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout.

Authors:  Yun Jiang; Dan Ma; Nicole Seiberlich; Vikas Gulani; Mark A Griswold
Journal:  Magn Reson Med       Date:  2014-12-09       Impact factor: 4.668

5.  Extended phase graphs: dephasing, RF pulses, and echoes - pure and simple.

Authors:  Matthias Weigel
Journal:  J Magn Reson Imaging       Date:  2014-04-16       Impact factor: 4.813

6.  Development of high-resolution 3D MR fingerprinting for detection and characterization of epileptic lesions.

Authors:  Dan Ma; Stephen E Jones; Anagha Deshmane; Ken Sakaie; Eric Y Pierre; Mykol Larvie; Debra McGivney; Ingmar Blümcke; Balu Krishnan; Mark Lowe; Vikas Gulani; Imad Najm; Mark A Griswold; Z Irene Wang
Journal:  J Magn Reson Imaging       Date:  2018-12-23       Impact factor: 4.813

7.  Magnetic resonance fingerprinting for simultaneous renal T1 and T 2 * mapping in a single breath-hold.

Authors:  Ingo Hermann; Jorge Chacon-Caldera; Irène Brumer; Benedikt Rieger; Sebastian Weingärtner; Lothar R Schad; Frank G Zöllner
Journal:  Magn Reson Med       Date:  2020-01-03       Impact factor: 4.668

8.  The uterine cervix on in vitro and in vivo MR images: a study of zonal anatomy and vascularity using an enveloping cervical coil.

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Journal:  AJR Am J Roentgenol       Date:  1994-09       Impact factor: 3.959

Review 9.  Imaging biomarker roadmap for cancer studies.

Authors:  James P B O'Connor; Eric O Aboagye; Judith E Adams; Hugo J W L Aerts; Sally F Barrington; Ambros J Beer; Ronald Boellaard; Sarah E Bohndiek; Michael Brady; Gina Brown; David L Buckley; Thomas L Chenevert; Laurence P Clarke; Sandra Collette; Gary J Cook; Nandita M deSouza; John C Dickson; Caroline Dive; Jeffrey L Evelhoch; Corinne Faivre-Finn; Ferdia A Gallagher; Fiona J Gilbert; Robert J Gillies; Vicky Goh; John R Griffiths; Ashley M Groves; Steve Halligan; Adrian L Harris; David J Hawkes; Otto S Hoekstra; Erich P Huang; Brian F Hutton; Edward F Jackson; Gordon C Jayson; Andrew Jones; Dow-Mu Koh; Denis Lacombe; Philippe Lambin; Nathalie Lassau; Martin O Leach; Ting-Yim Lee; Edward L Leen; Jason S Lewis; Yan Liu; Mark F Lythgoe; Prakash Manoharan; Ross J Maxwell; Kenneth A Miles; Bruno Morgan; Steve Morris; Tony Ng; Anwar R Padhani; Geoff J M Parker; Mike Partridge; Arvind P Pathak; Andrew C Peet; Shonit Punwani; Andrew R Reynolds; Simon P Robinson; Lalitha K Shankar; Ricky A Sharma; Dmitry Soloviev; Sigrid Stroobants; Daniel C Sullivan; Stuart A Taylor; Paul S Tofts; Gillian M Tozer; Marcel van Herk; Simon Walker-Samuel; James Wason; Kaye J Williams; Paul Workman; Thomas E Yankeelov; Kevin M Brindle; Lisa M McShane; Alan Jackson; John C Waterton
Journal:  Nat Rev Clin Oncol       Date:  2016-10-11       Impact factor: 66.675

10.  T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

Authors:  Rakesh Shiradkar; Ananya Panda; Patrick Leo; Andrew Janowczyk; Xavier Farre; Nafiseh Janaki; Lin Li; Shivani Pahwa; Amr Mahran; Christina Buzzy; Pingfu Fu; Robin Elliott; Gregory MacLennan; Lee Ponsky; Vikas Gulani; Anant Madabhushi
Journal:  Eur Radiol       Date:  2020-09-02       Impact factor: 5.315

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