Literature DB >> 22287146

Detection and size of pulmonary lesions: how accurate is MRI? A prospective comparison of CT and MRI.

Tobias Heye1, Sebastian Ley, Claus Peter Heussel, Hendrik Dienemann, Hans-Ulrich Kauczor, Waldemar Hosch, Martin Libicher.   

Abstract

BACKGROUND: Although CT is the modality of choice for morphological lung imaging, an increasing proportion of chest imaging is performed by MRI due to the utilization of whole-body MRI. Therefore, the diagnostic performance of MRI in reliably detecting pulmonary lesions should be established.
PURPOSE: To investigate the detection rate of pulmonary lesions by MRI that can be expected in a clinical setting and to assess the accuracy of lesion measurement by MRI compared to CT.
MATERIAL AND METHODS: Twenty-eight patients (median age 66 years) with indication for CT imaging due to suspected thoracic malignancy were prospectively included. Chest MRI performed on the same day as CT, comprised unenhanced TrueFisp, ecg-gated T2-weighted HASTE, T1-weighted VIBE, and contrast-enhanced T1-weighted, fat-saturated VIBE sequences. MR sequences were evaluated for lesion detection by two readers independently and measurement of lesion size was performed. MR findings were correlated with CT.
RESULTS: One hundred and eight pulmonary lesions (20 thoracic malignancies, 88 lung nodules) were detected by CT in 26 patients. Lesions were ruled out in two patients. All thoracic malignancies were identified by MRI with strong correlation (r = 0.97-0.99; P < 0.01) in lesion size measurement compared to CT. Unenhanced, T1-weighted VIBE correctly classified 94% of thoracic malignancies into T-stages. Contrast-enhanced, T1-weighted VIBE performed best in identifying 36% of lung nodules, 40% were detected combining unenhanced and contrast-enhanced T1-weighted VIBE. Detection rate increased to 65% for the combined sequences regarding lesions ≥5 mm. Lesion size measurement by all MR sequences strongly correlated with CT (r = 0.96-0.97; P = 0.01).
CONCLUSION: MRI is as accurate as CT in detection and size measurement of primary thoracic malignancies >1 cm in diameter. If a lung lesion is detected by MRI, it is a reliable finding and its measurement is accurate. CT remains superior in detecting small lung nodules (<6 mm). Detection rate of MRI for small lesions is improved using a multi-sequence protocol including contrast administration.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22287146     DOI: 10.1258/ar.2011.110445

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  11 in total

Review 1.  [Role of MRI for detection and characterization of pulmonary nodules].

Authors:  G Sommer; M Koenigkam-Santos; J Biederer; M Puderbach
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

2.  The Application and Value of 3T Magnetic Resonance Imaging in the Display of Pulmonary Nodules.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Qian Xu; Lijia Wang; Ning Zhang
Journal:  Front Oncol       Date:  2022-05-18       Impact factor: 5.738

3.  Targeted imaging of Ewing sarcoma in preclinical models using a 64Cu-labeled anti-CD99 antibody.

Authors:  Allison F O'Neill; Jason L J Dearling; Yuchuan Wang; Tanya Tupper; Yanping Sun; Jon C Aster; Monica L Calicchio; Antonio R Perez-Atayde; Alan B Packard; Andrew L Kung
Journal:  Clin Cancer Res       Date:  2013-11-11       Impact factor: 12.531

4.  Characterization of Pulmonary Metastases in Children With Hepatoblastoma Treated on Children's Oncology Group Protocol AHEP0731 (The Treatment of Children With All Stages of Hepatoblastoma): A Report From the Children's Oncology Group.

Authors:  Allison F O'Neill; Alexander J Towbin; Mark D Krailo; Caihong Xia; Yun Gao; M Beth McCarville; Rebecka L Meyers; Eugene D McGahren; Greg M Tiao; Stephen P Dunn; Max R Langham; Christopher B Weldon; Milton J Finegold; Sarangarajan Ranganathan; Wayne L Furman; Marcio Malogolowkin; Carlos Rodriguez-Galindo; Howard M Katzenstein
Journal:  J Clin Oncol       Date:  2017-09-11       Impact factor: 44.544

5.  The Value of PETRA in Pulmonary Nodules of <3 cm Among Patients With Lung Cancer.

Authors:  Hui Feng; Gaofeng Shi; Hui Liu; Yu Du; Ning Zhang; Yaning Wang
Journal:  Front Oncol       Date:  2021-05-18       Impact factor: 6.244

Review 6.  Extra-cardiac findings in cardiovascular magnetic resonance: what the imaging cardiologist needs to know.

Authors:  Jonathan C L Rodrigues; Stephen M Lyen; William Loughborough; Antonio Matteo Amadu; Anna Baritussio; Amardeep Ghosh Dastidar; Nathan E Manghat; Chiara Bucciarelli-Ducci
Journal:  J Cardiovasc Magn Reson       Date:  2016-05-09       Impact factor: 5.364

7.  Diagnosing Lung Nodules on Oncologic MR/PET Imaging: Comparison of Fast T1-Weighted Sequences and Influence of Image Acquisition in Inspiration and Expiration Breath-Hold.

Authors:  Nina F Schwenzer; Ferdinand Seith; Sergios Gatidis; Cornelia Brendle; Holger Schmidt; Christina A Pfannenberg; Christian laFougère; Konstantin Nikolaou; Christina Schraml
Journal:  Korean J Radiol       Date:  2016-08-23       Impact factor: 3.500

Review 8.  Radiological Surveillance Screening in Asymptomatic Succinate Dehydrogenase Mutation Carriers.

Authors:  Nicola Tufton; Anju Sahdev; Scott A Akker
Journal:  J Endocr Soc       Date:  2017-06-06

9.  Diagnostic accuracy of magnetic resonance imaging for the detection of pulmonary nodules simulated in a dedicated porcine chest phantom.

Authors:  Madeleine Bonert; Moritz Schneider; Olga Solyanik; Katharina Hellbach; David Bondesson; Thomas Gaass; Natalie Thaens; Jens Ricke; Thomas Benkert; Julien Dinkel
Journal:  PLoS One       Date:  2020-12-23       Impact factor: 3.240

10.  MR Imaging of Pulmonary Nodules: Detection Rate and Accuracy of Size Estimation in Comparison to Computed Tomography.

Authors:  Andrzej Cieszanowski; Antonina Lisowska; Marta Dabrowska; Piotr Korczynski; Malgorzata Zukowska; Ireneusz P Grudzinski; Ryszard Pacho; Olgierd Rowinski; Rafal Krenke
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.