Proton-density fat fraction measurement: A viable quantitative biomarker for differentiating adrenal adenomas from nonadenomas

Xiaoyan Meng, Xiao Chen, Yaqi Shen, Xuemei Hu, Hao Tang, Daoyu Hu, Zhen Li, Ihab R Kamel

Research output: Contribution to journalArticle

Abstract

Purpose This study aims to compare the accuracy of proton-density fat fraction (PDFF) measurements with chemical shift magnetic resonance imaging (CSI) for quantifying the fat content of adrenal nodules and for differentiating adenomas from nonadenomas. Materials and methods Oil-saline phantom measurements was performed to compare the correlation between PDFF and CSI in detecting and quantifying fat content. 43 consecutive patients who had known adrenal nodules were imaged on a 3.0-T MR scanner. PDFF was measured, and the signal intensity (SI) index (SII), SI adrenal-to-liver ratio (ALR) and SI adrenal-to-spleen ratio (ASR) of the adrenal nodules were calculated. Results In the phantom study, PDFF ranged from 12.6% to 99.1% and the SII was between 0.72 and 1.23. There was good correlation between these two methods (R square = 0.972, p < 0.0001). The PDFF of adrenal adenoma was significantly increased compared with that of nonadenoma (p < 0.001). PDFF was an effective tool for distinguishing adenoma from nonadenoma, with an area under the curve (AUC) of 0.98. In comparing SII, ALR and ASR the AUC was 0.94, 0.95 and 0.93, respectively. No significant difference was noted between these two methods (p > 0.05). Conclusion PDFF measurements provide an accurate estimation of fat content in discriminating adenomas from nonadenomas compared with CSI, avoiding complicated data calculations and offering a simpler technique using 3T.

Original languageEnglish (US)
Pages (from-to)112-118
Number of pages7
JournalEuropean Journal of Radiology
Volume86
DOIs
StatePublished - Jan 1 2017

Fingerprint

Adenoma
Protons
Biomarkers
Fats
Oils
Spleen
Magnetic Resonance Imaging
Liver

Keywords

  • Adenoma
  • Chemical shift imaging
  • Magnetic resonance imaging
  • Metastasis
  • Pheochromocytoma

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Proton-density fat fraction measurement : A viable quantitative biomarker for differentiating adrenal adenomas from nonadenomas. / Meng, Xiaoyan; Chen, Xiao; Shen, Yaqi; Hu, Xuemei; Tang, Hao; Hu, Daoyu; Li, Zhen; Kamel, Ihab R.

In: European Journal of Radiology, Vol. 86, 01.01.2017, p. 112-118.

Research output: Contribution to journalArticle

Meng, Xiaoyan ; Chen, Xiao ; Shen, Yaqi ; Hu, Xuemei ; Tang, Hao ; Hu, Daoyu ; Li, Zhen ; Kamel, Ihab R. / Proton-density fat fraction measurement : A viable quantitative biomarker for differentiating adrenal adenomas from nonadenomas. In: European Journal of Radiology. 2017 ; Vol. 86. pp. 112-118.
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abstract = "Purpose This study aims to compare the accuracy of proton-density fat fraction (PDFF) measurements with chemical shift magnetic resonance imaging (CSI) for quantifying the fat content of adrenal nodules and for differentiating adenomas from nonadenomas. Materials and methods Oil-saline phantom measurements was performed to compare the correlation between PDFF and CSI in detecting and quantifying fat content. 43 consecutive patients who had known adrenal nodules were imaged on a 3.0-T MR scanner. PDFF was measured, and the signal intensity (SI) index (SII), SI adrenal-to-liver ratio (ALR) and SI adrenal-to-spleen ratio (ASR) of the adrenal nodules were calculated. Results In the phantom study, PDFF ranged from 12.6{\%} to 99.1{\%} and the SII was between 0.72 and 1.23. There was good correlation between these two methods (R square = 0.972, p < 0.0001). The PDFF of adrenal adenoma was significantly increased compared with that of nonadenoma (p < 0.001). PDFF was an effective tool for distinguishing adenoma from nonadenoma, with an area under the curve (AUC) of 0.98. In comparing SII, ALR and ASR the AUC was 0.94, 0.95 and 0.93, respectively. No significant difference was noted between these two methods (p > 0.05). Conclusion PDFF measurements provide an accurate estimation of fat content in discriminating adenomas from nonadenomas compared with CSI, avoiding complicated data calculations and offering a simpler technique using 3T.",
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AU - Meng, Xiaoyan

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AU - Shen, Yaqi

AU - Hu, Xuemei

AU - Tang, Hao

AU - Hu, Daoyu

AU - Li, Zhen

AU - Kamel, Ihab R

PY - 2017/1/1

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N2 - Purpose This study aims to compare the accuracy of proton-density fat fraction (PDFF) measurements with chemical shift magnetic resonance imaging (CSI) for quantifying the fat content of adrenal nodules and for differentiating adenomas from nonadenomas. Materials and methods Oil-saline phantom measurements was performed to compare the correlation between PDFF and CSI in detecting and quantifying fat content. 43 consecutive patients who had known adrenal nodules were imaged on a 3.0-T MR scanner. PDFF was measured, and the signal intensity (SI) index (SII), SI adrenal-to-liver ratio (ALR) and SI adrenal-to-spleen ratio (ASR) of the adrenal nodules were calculated. Results In the phantom study, PDFF ranged from 12.6% to 99.1% and the SII was between 0.72 and 1.23. There was good correlation between these two methods (R square = 0.972, p < 0.0001). The PDFF of adrenal adenoma was significantly increased compared with that of nonadenoma (p < 0.001). PDFF was an effective tool for distinguishing adenoma from nonadenoma, with an area under the curve (AUC) of 0.98. In comparing SII, ALR and ASR the AUC was 0.94, 0.95 and 0.93, respectively. No significant difference was noted between these two methods (p > 0.05). Conclusion PDFF measurements provide an accurate estimation of fat content in discriminating adenomas from nonadenomas compared with CSI, avoiding complicated data calculations and offering a simpler technique using 3T.

AB - Purpose This study aims to compare the accuracy of proton-density fat fraction (PDFF) measurements with chemical shift magnetic resonance imaging (CSI) for quantifying the fat content of adrenal nodules and for differentiating adenomas from nonadenomas. Materials and methods Oil-saline phantom measurements was performed to compare the correlation between PDFF and CSI in detecting and quantifying fat content. 43 consecutive patients who had known adrenal nodules were imaged on a 3.0-T MR scanner. PDFF was measured, and the signal intensity (SI) index (SII), SI adrenal-to-liver ratio (ALR) and SI adrenal-to-spleen ratio (ASR) of the adrenal nodules were calculated. Results In the phantom study, PDFF ranged from 12.6% to 99.1% and the SII was between 0.72 and 1.23. There was good correlation between these two methods (R square = 0.972, p < 0.0001). The PDFF of adrenal adenoma was significantly increased compared with that of nonadenoma (p < 0.001). PDFF was an effective tool for distinguishing adenoma from nonadenoma, with an area under the curve (AUC) of 0.98. In comparing SII, ALR and ASR the AUC was 0.94, 0.95 and 0.93, respectively. No significant difference was noted between these two methods (p > 0.05). Conclusion PDFF measurements provide an accurate estimation of fat content in discriminating adenomas from nonadenomas compared with CSI, avoiding complicated data calculations and offering a simpler technique using 3T.

KW - Adenoma

KW - Chemical shift imaging

KW - Magnetic resonance imaging

KW - Metastasis

KW - Pheochromocytoma

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