Literature DB >> 35984559

Ex-vivo human pancreatic specimen evaluation by 7 Tesla MRI: a prospective radiological-pathological correlation study.

Rosa Cervelli1, Matteo Cencini2, Andrea Cacciato Insilla3, Giacomo Aringhieri4, Ugo Boggi5, Daniela Campani3, Michela Tosetti2, Laura Crocetti6.   

Abstract

PURPOSE: To compare the characteristics detected by 7Tesla (7 T) MR and the histological composition of ex-vivo specimens from lesions diagnosed at preoperative CT scan as Pancreatic Ductal Adenocarcinoma (PDAC).
MATERIALS AND METHODS: Ten pancreatic specimens were examined. The 7 T imaging protocol included both morphologic and quantitative sequences; the latter was acquired by conventional methods and a novel multiparametric method, the magnetic resonance fingerprinting (MRF) sequence. Two radiologists reviewed the images to: (1) evaluate the quality of the morphological and quantitative sequences by assigning an "image consistency score" on a 4-point scale; (2) identify the lesion, recording its characteristics; (3) perform the quantitative analysis on "target lesion" and "non target tissue". Finally, the specimen was analysed by two pathologists.
RESULTS: Seven out of 10 lesions were PDAC, 2/10 were biliary carcinomas, whereas one lesion was an ampullary adenocarcinoma. The quality of the morphological sequences was judged "excellent". The "image consistency score" for the conventional quantitative sequences and MRF were 2.8 ± 0.42 and 2.9 ± 0.57; the "overall MR examination score" was 3.5 ± 0.53. A statistical correlation was found between the relaxation time values of conventional and MRF T1-weighted sequences (p < 0.0001), as well as between conventional and MRF fat- and water-fraction maps (p < 0.05). The "target lesion" and "non target tissue" relaxation time values were statistically different according to conventional T1-, T2-weighted, and MRF T1-weighted sequences.
CONCLUSIONS: Conventional T1-, T2-weighted sequences and MRF derived relaxometries may be useful in differentiating between tumour and non-target pancreatic tissue. Moreover, the MRF sequence can be used to obtain reliable relaxation time data.
© 2022. Italian Society of Medical Radiology.

Entities:  

Keywords:  Correlation of data; MR fingerprinting; Multiparametric magnetic resonance imaging; Pancreatic ductal carcinoma; Ultra-high field MRI

Year:  2022        PMID: 35984559     DOI: 10.1007/s11547-022-01533-1

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   6.313


  15 in total

Review 1.  Clinical applications at ultrahigh field (7  T). Where does it make the difference?

Authors:  Siegfried Trattnig; Wolfgang Bogner; Stephan Gruber; Pavol Szomolanyi; Vladimir Juras; Simon Robinson; Štefan Zbýň; Stefan Haneder
Journal:  NMR Biomed       Date:  2015-03-12       Impact factor: 4.044

2.  Electromagnetic characterization of an MR volume coil with multilayered cylindrical load using a 2-D analytical approach.

Authors:  Gianluigi Tiberi; Mauro Costagli; Riccardo Stara; Mirco Cosottini; James Tropp; Michela Tosetti
Journal:  J Magn Reson       Date:  2013-03-15       Impact factor: 2.229

3.  Advanced MR methods at ultra-high field (7 Tesla) for clinical musculoskeletal applications.

Authors:  Siegfried Trattnig; Stefan Zbýň; Benjamin Schmitt; Klaus Friedrich; Vladimir Juras; Pavol Szomolanyi; Wolfgang Bogner
Journal:  Eur Radiol       Date:  2012-06-12       Impact factor: 5.315

4.  Identification of new donor variables associated with graft survival in a single-center liver transplant cohort.

Authors:  Otmane Nafidi; Denis Marleau; André Roy; Marc Bilodeau
Journal:  Liver Transpl       Date:  2010-12       Impact factor: 5.799

5.  Grade of deceased donor liver macrovesicular steatosis impacts graft and recipient outcomes more than the Donor Risk Index.

Authors:  Esther L de Graaf; James Kench; Pamela Dilworth; Nicholas A Shackel; Simone I Strasser; David Joseph; Henry Pleass; Michael Crawford; Geoff W McCaughan; Deborah J Verran
Journal:  J Gastroenterol Hepatol       Date:  2012-03       Impact factor: 4.029

6.  First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T.

Authors:  K Kollia; S Maderwald; N Putzki; M Schlamann; J M Theysohn; O Kraff; M E Ladd; M Forsting; I Wanke
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-15       Impact factor: 3.825

7.  Cancer statistics, 2016.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-01-07       Impact factor: 508.702

8.  Whole-body imaging at 7T: preliminary results.

Authors:  J Thomas Vaughan; Carl J Snyder; Lance J DelaBarre; Patrick J Bolan; Jinfeng Tian; Lizann Bolinger; Gregor Adriany; Peter Andersen; John Strupp; Kamil Ugurbil
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

9.  Co-cultivation of fungal and microalgal cells as an efficient system for harvesting microalgal cells, lipid production and wastewater treatment.

Authors:  Digby Wrede; Mohamed Taha; Ana F Miranda; Krishna Kadali; Trevor Stevenson; Andrew S Ball; Aidyn Mouradov
Journal:  PLoS One       Date:  2014-11-24       Impact factor: 3.240

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

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