Literature DB >> 27571307

ADC histogram analysis for adrenal tumor histogram analysis of apparent diffusion coefficient in differentiating adrenal adenoma from pheochromocytoma.

Tomokazu Umanodan1, Yoshihiko Fukukura1, Yuichi Kumagae1, Toshikazu Shindo1, Masatoyo Nakajo1, Koji Takumi1, Masanori Nakajo1, Hiroto Hakamada1, Aya Umanodan1, Takashi Yoshiura1.   

Abstract

PURPOSE: To determine the diagnostic performance of apparent diffusion coefficient (ADC) histogram analysis in diffusion-weighted (DW) magnetic resonance imaging (MRI) for differentiating adrenal adenoma from pheochromocytoma.
MATERIALS AND METHODS: We retrospectively evaluated 52 adrenal tumors (39 adenomas and 13 pheochromocytomas) in 47 patients (21 men, 26 women; mean age, 59.3 years; range, 16-86 years) who underwent DW 3.0T MRI. Histogram parameters of ADC (b-values of 0 and 200 [ADC200 ], 0 and 400 [ADC400 ], and 0 and 800 s/mm2 [ADC800 ])-mean, variance, coefficient of variation (CV), kurtosis, skewness, and entropy-were compared between adrenal adenomas and pheochromocytomas, using the Mann-Whitney U-test. Receiver operating characteristic (ROC) curves for the histogram parameters were generated to differentiate adrenal adenomas from pheochromocytomas. Sensitivity and specificity were calculated by using a threshold criterion that would maximize the average of sensitivity and specificity.
RESULTS: Variance and CV of ADC800 were significantly higher in pheochromocytomas than in adrenal adenomas (P < 0.001 and P = 0.001, respectively). With all b-value combinations, the entropy of ADC was significantly higher in pheochromocytomas than in adrenal adenomas (all P ≤ 0.001), and showed the highest area under the ROC curve among the ADC histogram parameters for diagnosing adrenal adenomas (ADC200 , 0.82; ADC400 , 0.87; and ADC800 , 0.92), with sensitivity of 84.6% and specificity of 84.6% (cutoff, ≤2.82) with ADC200 ; sensitivity of 89.7% and specificity of 84.6% (cutoff, ≤2.77) with ADC400 ; and sensitivity of 94.9% and specificity of 92.3% (cutoff, ≤2.67) with ADC800 .
CONCLUSION: ADC histogram analysis of DW MRI can help differentiate adrenal adenoma from pheochromocytoma. LEVEL OF EVIDENCE: 3 J. Magn. Reson. Imaging 2017;45:1195-1203.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  adenoma; adrenal gland neoplasms; apparent diffusion coefficient; diffusion-weighted MRI; histogram analysis; pheochromocytoma

Mesh:

Year:  2016        PMID: 27571307     DOI: 10.1002/jmri.25452

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  21 in total

1.  Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors?

Authors:  Riccardo De Robertis; Bogdan Maris; Nicolò Cardobi; Paolo Tinazzi Martini; Stefano Gobbo; Paola Capelli; Silvia Ortolani; Sara Cingarlini; Salvatore Paiella; Luca Landoni; Giovanni Butturini; Paolo Regi; Aldo Scarpa; Giampaolo Tortora; Mirko D'Onofrio
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2.  Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas.

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Review 3.  Adrenal pheochromocytoma: is it all or the tip of the iceberg?

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4.  Comparison of MRI features in lipid-rich and lipid-poor adrenal adenomas using subjective and quantitative analysis.

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5.  Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive, preventive and personalized medical approach in adrenal incidentalomas.

Authors:  Xiaoping Yi; Xiao Guan; Youming Zhang; Longfei Liu; Xueying Long; Hongling Yin; Zhongjie Wang; Xuejun Li; Weihua Liao; Bihong T Chen; Chishing Zee
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6.  Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma.

Authors:  Xiaoping Yi; Xiao Guan; Chen Chen; Youming Zhang; Zhe Zhang; Minghao Li; Peihua Liu; Anze Yu; Xueying Long; Longfei Liu; Bihong T Chen; Chishing Zee
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7.  Histological grades of rectal cancer: whole-volume histogram analysis of apparent diffusion coefficient based on reduced field-of-view diffusion-weighted imaging.

Authors:  Yang Peng; Hao Tang; Xiaoyan Meng; Yaqi Shen; Daoyu Hu; Ihab Kamel; Zhen Li
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8.  Apparent diffusion coefficient histogram analysis can evaluate radiation-induced parotid damage and predict late xerostomia degree in nasopharyngeal carcinoma.

Authors:  Nan Zhou; Tingting Guo; Huanhuan Zheng; Xia Pan; Chen Chu; Xin Dou; Ming Li; Song Liu; Lijing Zhu; Baorui Liu; Weibo Chen; Jian He; Jing Yan; Zhengyang Zhou; Xiaofeng Yang
Journal:  Oncotarget       Date:  2017-07-26

9.  Current diagnostic imaging of pheochromocytomas and implications for therapeutic strategy.

Authors:  Filip Čtvrtlík; Pavel Koranda; Jan Schovánek; Jozef Škarda; Igor Hartmann; Zbyněk Tüdös
Journal:  Exp Ther Med       Date:  2018-02-14       Impact factor: 2.447

10.  Oesophageal squamous cell carcinoma: histogram-derived ADC parameters are not predictive of tumour response to chemoradiotherapy.

Authors:  Maiko Kozumi; Hideki Ota; Takaya Yamamoto; Rei Umezawa; Haruo Matsushita; Yojiro Ishikawa; Noriyoshi Takahashi; Tomonori Matsuura; Kei Takase; Keiichi Jingu
Journal:  Eur Radiol       Date:  2018-05-03       Impact factor: 5.315

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