Literature DB >> 24167322

Quantified ADC histogram analysis: a new method for differentiating mass-forming focal pancreatitis from pancreatic cancer.

Xiaohong Ma1, Xinming Zhao2, Han Ouyang1, Fei Sun3, Hongmei Zhang1, Chunwu Zhou1.   

Abstract

BACKGROUND: As their prognosis and management are different, differentiation of mass-forming focal pancreatitis (FP) from pancreatic adenocarcinoma (PC) is important. However, the similar clinical presentations and imaging features of these conditions, along with inconclusive biopsy results can make such differentiation difficult.
PURPOSE: To determine whether apparent diffusion coefficient (ADC) histogram analysis can discriminate between a normal pancreas, FP, and PC.
MATERIAL AND METHODS: In a retrospective study, 25 PC patients, 14 FP patients, and 25 subjects with a normal pancreas underwent breath-hold diffusion-weighted imaging (DWI) on a 3.0 T magnetic resonance (MR) scanner. Regions of interest (ROIs) were drawn on the normal pancreases and on the entire focal lesions of both PC and FP. The ADC value was averaged from the lowest to 10th, 30th, 50th, and 100th percentile of the histogram (i.e. ADC10, ADC30, ADC50, and ADC100, respectively), and the results were analyzed statistically.
RESULTS: There were no significant differences among the head, body, and tail of normal pancreases for any of the mean ADC values (P > 0.05). ADC10, ADC30, and ADC50 values demonstrated significant differences between lesion and non-lesion areas of both PC (P < 0.05) and FP (P < 0.05). Differences in lesion areas between PC and FP were found with ADC50 and ADC100 values (P < 0.05), and helped differentiate a normal pancreas from FP and PC, and FP from PC.
CONCLUSION: Quantified ADC histogram can specifically reflect tissue heterogeneity and help differentiate a normal pancreas from FP and PC. © The Foundation Acta Radiologica 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Entities:  

Keywords:  Diffusion-weighted imaging; apparent diffusion coefficient; focal pancreatitis; histogram analysis; pancreatic adenocarcinoma

Mesh:

Year:  2013        PMID: 24167322     DOI: 10.1177/0284185113509264

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


  9 in total

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2.  Meta-analysis of diffusion-weighted magnetic resonance imaging in identification of colorectal cancer.

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3.  Pancreatic cancer in chronic pancreatitis.

Authors:  Puneet Dhar; S Kalghatgi; Vivek Saraf
Journal:  Indian J Surg Oncol       Date:  2015-01-21

Review 4.  Advances in diffusion-weighted imaging.

Authors:  Lorenzo Mannelli; Stephanie Nougaret; Hebert A Vargas; Richard K G Do
Journal:  Radiol Clin North Am       Date:  2015-05       Impact factor: 2.303

5.  Utility of histogram analysis of ADC maps for differentiating orbital tumors.

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Review 6.  Diagnostic accuracy of DWI in patients with ovarian cancer: A meta-analysis.

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Journal:  Medicine (Baltimore)       Date:  2017-05       Impact factor: 1.889

7.  Volumetric ADC histogram analysis for preoperative evaluation of LVSI status in stage I endometrioid adenocarcinoma.

Authors:  Xiaoliang Ma; Xiaojun Ren; Minhua Shen; Fenghua Ma; Xiaojun Chen; Guofu Zhang; Jinwei Qiang
Journal:  Eur Radiol       Date:  2021-06-17       Impact factor: 5.315

8.  Apparent Diffusion Coefficient (ADC) predicts therapy response in pancreatic ductal adenocarcinoma.

Authors:  M Trajkovic-Arsic; I Heid; K Steiger; A Gupta; A Fingerle; C Wörner; N Teichmann; S Sengkwawoh-Lueong; P Wenzel; A J Beer; I Esposito; R Braren; J T Siveke
Journal:  Sci Rep       Date:  2017-12-06       Impact factor: 4.379

9.  Differentiation of pancreatic carcinoma and mass-forming focal pancreatitis: qualitative and quantitative assessment by dynamic contrast-enhanced MRI combined with diffusion-weighted imaging.

Authors:  Ting-Ting Zhang; Li Wang; Huan-Huan Liu; Cai-Yuan Zhang; Xiao-Ming Li; Jian-Ping Lu; Deng-Bin Wang
Journal:  Oncotarget       Date:  2017-01-03
  9 in total

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