Literature DB >> 27302493

Role of respiratory-triggered diffusion-weighted MRI in the assessment of pleural disease.

Matteo Revelli1, Fabio Chiesa1, Alberto Del Prato2, Alberto Tagliafico3, Ilan Rosenberg1, Pier Aldo Canessa4, Valentina Pinelli4, Alessandro Villa1.   

Abstract

OBJECTIVE: : To evaluate the correlation between apparent diffusion coefficient (ADC) values and histopathological features in a cohort of patients with suspected malignant pleural disease.
METHODS: : We evaluated 56 consecutive patients undergoing a chest MRI examination for clinical suspicion of malignant pleural disease; all patients underwent thoracoscopic biopsy for histological assessment. All MRI examinations were performed with a 1.5-T scanner using a dedicated protocol, including a respiratory-triggered diffusion-weighted sequence with three b-values (0, 100 and 750). The ADC values were calculated, and a statistical analysis was performed.
RESULTS: : The average ADC value in non-neoplastic pleural disease (NNPD) resulted in 1.84 ± 0.37 × 10-3 mm2 s-1, whereas we obtained an average value of 0.96 ± 0.19 × 10-3 mm2 s-1 in epitheliod, of 0.76 ± 0.33 × 10-3 mm2 s-1 in biphasic and of 0.67 ± 0.2 × 10-3 mm2 s-1 in sarcomatoid pleural mesotheliomas. Histology revealed the presence of malignant pleural mesothelioma (MPM) in 44 patients, chronic pleuritis in 8 patients and atypical mesothelial hyperplasia in 4 patients. Statistical analysis showed a significant difference between NNPD and MPM (p < 0.001) and between epithelioid and sarcomatoid MPM subtypes (p = 0.0004), whereas biphasic MPMs showed a wide range of overlapping with the other groups.
CONCLUSION: : We observed a statistically significant difference between NNPD, epitheliod and sarcomatoid subtypes of MPM regarding ADC values. ADVANCES IN KNOWLEDGE:: Our study confirmed previous data regarding distribution of ADC values in pleural disease using a respiratory-triggered diffusion-weighted technique that allowed us to minimize motion artefacts and to reduct acquisition time.

Entities:  

Year:  2016        PMID: 27302493      PMCID: PMC5124896          DOI: 10.1259/bjr.20160289

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  16 in total

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1.  Quantification of pleural plaques by computed tomography and correlations with pulmonary function: preliminary study.

Authors:  Yoon Ki Cha; Jeung Sook Kim; Jae Hyun Kwon
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