Differentiation of mass-forming focal pancreatitis from pancreatic ductal adenocarcinoma: value of characterizing dynamic enhancement patterns on contrast-enhanced MR images by adding signal intensity color mapping.

Objectives: To evaluate the value of dynamic enhancement patterns on contrast-enhanced MR images by adding signal intensity colour mapping (SICM) to differentiate mass-forming focal pancreatitis (MFFP) from pancreatic ductal adenocarcinoma (PDAC).Methods: Forty-one clinicopathologically proven MFFPs...

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Publicado en:European Radiology Vol. 27; no. 4; pp. 1722 - 1733
Autores principales: Kim, Mimi, Jang, Kyung, Kim, Jae-Hun, Jeong, Woo, Kim, Seong, Kang, Tae, Kim, Young, Cha, Dong, Kim, Kyunga, Jang, Kyung Mi, Jeong, Woo Kyoung, Kim, Seong Hyun, Kang, Tae Wook, Kim, Young Kon, Cha, Dong Ik
Formato: research Journal Article
Publicado: Springer Nature Apr2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2017
      vid: 27
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00330-016-4522-0
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        atl: Differentiation of mass-forming focal pancreatitis from pancreatic ductal adenocarcinoma: value of characterizing dynamic enhancement patterns on contrast-enhanced MR images by adding signal intensity color mapping.
      aug:
        au:
          Kim, Mimi
          Jang, Kyung
          Kim, Jae-Hun
          Jeong, Woo
          Kim, Seong
          Kang, Tae
          Kim, Young
          Cha, Dong
          Kim, Kyunga
          Jang, Kyung Mi
          Jeong, Woo Kyoung
          Kim, Seong Hyun
          Kang, Tae Wook
          Kim, Young Kon
          Cha, Dong Ik
        affil: Department of Radiology, Hanyang Medical Center , Hanyang University College of Medicine , Seoul Republic of Korea
      sug:
        subj:
          Pancreatic Neoplasms
          Carcinoma, Ductal
          Pancreatitis
          Aged
          Image Interpretation, Computer Assisted Methods
          Sensitivity and Specificity
          Human
          Contrast Media
          Middle Age
          Image Enhancement
          Magnetic Resonance Imaging Methods
          Aged, 80 and Over
          Diagnosis, Differential
          Color
          Retrospective Design
          Female
          Male
          Adult
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Aged: 65+ years
          Middle Aged: 45-64 years
          Aged, 80 & over
          Adult: 19-44 years
          Female
          Male
      ab: Objectives: To evaluate the value of dynamic enhancement patterns on contrast-enhanced MR images by adding signal intensity colour mapping (SICM) to differentiate mass-forming focal pancreatitis (MFFP) from pancreatic ductal adenocarcinoma (PDAC).Methods: Forty-one clinicopathologically proven MFFPs and 144 surgically confirmed PDACs were enrolled. Laboratory and MR imaging parameters were used to differentiate MFFP from PDAC. In particular, enhancement patterns on MR images adding SICM were evaluated. By using classification tree analysis (CTA), we determined the predictors for the differentiation of MFFP from PDAC.Results: In the CTA, with all parameters except enhancement pattern on SICM images, ductal obstruction grade and T1 hypointensity grade of the pancreatic lesion were the first and second splitting predictor for differentiation of MFFP from PDAC, in order. By adding an enhancement pattern on the SICM images to CTA, the enhancement pattern was the only splitting predictor to differentiate MFFP from PDAC. The CTA model including enhancement pattern on SICM images has sensitivity of 78.0 %, specificity of 99.3 %, and accuracy of 94.6 % for differentiating MFFP from PDAC.Conclusion: The characterization of enhancement pattern for pancreatic lesions on contrast-enhanced MR images adding SICM would be helpful to differentiate MFFP from PDAC.Key Points: • SICM was useful to characterize enhancement pattern. • Enhancement pattern on SICM was the only splitting predictor on CTA. • This model may be useful for differentiating MFFP from PDAC.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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