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2013
DOI: 10.1007/s00330-013-3054-0
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Diffusion-weighted MRI for distinguishing non-neoplastic cysts from solid masses in the mediastinum: problem-solving in mediastinal masses of indeterminate internal characteristics on CT

Abstract: • Non-invasive diagnosis of non-neoplastic cysts can save surgical biopsy or excision. • Conventional CT or MRI findings cannot always provide a confident diagnosis. • Mediastinal masses can be well-characterised with DWI. • Non-neoplastic mediastinal cysts show significantly higher ADC values than cystic tumours. • DWI is useful to determine treatment strategy.

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Cited by 46 publications
(35 citation statements)
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References 27 publications
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“…The T1 signal intensity of benign mediastinal cysts can be intermediate to hyperintense, depending on the amount of hemorrhage and proteinaceous material within the lesion (23,31). DW imaging of benign mediastinal cysts typically reveals T2 hyperintensity without diffusion restric-tion, but infected benign mediastinal cysts can show diffusion restriction (32).…”
Section: Mediastinal Cystsmentioning
confidence: 99%
“…The T1 signal intensity of benign mediastinal cysts can be intermediate to hyperintense, depending on the amount of hemorrhage and proteinaceous material within the lesion (23,31). DW imaging of benign mediastinal cysts typically reveals T2 hyperintensity without diffusion restric-tion, but infected benign mediastinal cysts can show diffusion restriction (32).…”
Section: Mediastinal Cystsmentioning
confidence: 99%
“…Quantitative assessment of a tumor is possible by calculating its apparent diffusion coefficient (ADC) value which is inversely correlated with tissue cellularity. Hence, DWI has been proposed as a cancer biomarker with the diagnostic potential to distinguish benign from malignant tumors because of the tendency of the latter to show more restricted diffusion, i.e., lower ADC values (Table 2) [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…If a lesion is large enough, regions of interest can be placed on the ADC map to determine local ADC values. Depending on the tissue being imaged, some thresholds have been proposed for distinguishing malignant from benign lesions . In order to avoid ADC underestimation, TEs should be minimized .…”
Section: Building Blocksmentioning
confidence: 99%
“…Depending on the tissue being imaged, some thresholds have been proposed for distinguishing malignant from benign lesions. 28,[48][49][50][51][52][53] In order to avoid ADC underestimation, TEs should be minimized. 5,48 It is important to recognize that when an ADC map is created using the b = 0 sec/mm 2 data, the measured ADC may be overestimated due to a substantial perfusion component from the b = 0 sec/mm 2 data.…”
Section: Functional Sequencesmentioning
confidence: 99%