2020
DOI: 10.1007/s00261-020-02631-2
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Use of computed tomography for distinguishing heterotopic pancreas from gastrointestinal stromal tumor and leiomyoma

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Cited by 8 publications
(29 citation statements)
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“…Nevertheless, previous studies didn't make usage of receiver operating characteristic analysis to determine the diagnostic performance of contrast-enhanced CT. Later, studies filled the gap by addressing the shortcoming, though lack of pathologic to radiologic correlation [31,32,41]. Compared to Kim et al 's study, Yang et al [31] not only individualized CT attenuation by using the Fig. 6 a, b Coronal and axial enhanced CT images of a heterotopic pancreas in the duodenum of a 53-year-old male showed a 1.3 cm × 0.9 cm, endoluminal lesion (white arrows) with a lobulated margin, presenting round contour on axial image while flat pattern on coronal CT image.…”
Section: Contrast-enhanced Computed Tomographymentioning
confidence: 99%
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“…Nevertheless, previous studies didn't make usage of receiver operating characteristic analysis to determine the diagnostic performance of contrast-enhanced CT. Later, studies filled the gap by addressing the shortcoming, though lack of pathologic to radiologic correlation [31,32,41]. Compared to Kim et al 's study, Yang et al [31] not only individualized CT attenuation by using the Fig. 6 a, b Coronal and axial enhanced CT images of a heterotopic pancreas in the duodenum of a 53-year-old male showed a 1.3 cm × 0.9 cm, endoluminal lesion (white arrows) with a lobulated margin, presenting round contour on axial image while flat pattern on coronal CT image.…”
Section: Contrast-enhanced Computed Tomographymentioning
confidence: 99%
“…GHP often presents as an intramural oval mass with indistinct margins on CT coronal images [ 23 , 30 ]. GHP is usually small in diameter (often less than 3 cm) and tends to be an intraluminal growth pattern [ 6 , 14 , 31 , 32 ]. The CT attenuation, enhancement heterogeneity, and enhancement degree of GHP correlate with its pathological histological compositions [ 5 , 9 , 10 , 14 , 23 , 33 ].…”
Section: Introductionmentioning
confidence: 99%
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