CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.

To find differential CT features of colorectal schwannomas from gastrointestinal stromal tumors (GISTs).CT features of 13 pathologically proven colorectal schwannomas and 21 GISTs were retrospectively reviewed. The following CT items were analyzed: size, longitudinal and transverse location, shape,...

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Main Authors: Ji Hee Kang, Se Hyung Kim, Young Hoon Kim, Sung Eun Rha, Bo Yun Hur, Joon Koo Han
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5179024?pdf=render
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spelling doaj-6653df457c3b48d2bcb38c4a3de8ec722020-11-25T01:49:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016637710.1371/journal.pone.0166377CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.Ji Hee KangSe Hyung KimYoung Hoon KimSung Eun RhaBo Yun HurJoon Koo HanTo find differential CT features of colorectal schwannomas from gastrointestinal stromal tumors (GISTs).CT features of 13 pathologically proven colorectal schwannomas and 21 GISTs were retrospectively reviewed. The following CT items were analyzed: size, longitudinal and transverse location, shape, margin, homogeneity, necrosis, surface ulceration, calcification, degree of attenuation, the presence of enlarged lymph node (LN), and metastasis. Among the features, significant variables were evaluated using univariate statistical tests. The optimal cut-off point of tumor size was obtained by ROC analysis. Binary logistic regression analysis was used to find the most independent CT variables.Small size, non-rectum location, smooth margin, homogeneous high attenuation without necrosis, and the presence of enlarged LNs were found to be significant variables to differentiate schwannomas from GISTs (P<0.05). The optimized cut-off point for tumor size in distinguishing GISTs from schwannomas was 3.9 cm (AUC = 0.808, sensitivity = 66.7%, specificity = 92.3%, P<0.0001). Binary regression analysis revealed that only non-rectum location remained independent predictor for schwannomas differentiated from GISTs (odds ratio = 31.667, P = 0.001).Colorectal schwannomas usually located in non-rectum and appear as small subepithelial nodules showing homogeneous high attenuation and smooth margin. Schwannomas exclusively accompany with enlarged LNs.http://europepmc.org/articles/PMC5179024?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ji Hee Kang
Se Hyung Kim
Young Hoon Kim
Sung Eun Rha
Bo Yun Hur
Joon Koo Han
spellingShingle Ji Hee Kang
Se Hyung Kim
Young Hoon Kim
Sung Eun Rha
Bo Yun Hur
Joon Koo Han
CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
PLoS ONE
author_facet Ji Hee Kang
Se Hyung Kim
Young Hoon Kim
Sung Eun Rha
Bo Yun Hur
Joon Koo Han
author_sort Ji Hee Kang
title CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
title_short CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
title_full CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
title_fullStr CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
title_full_unstemmed CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
title_sort ct features of colorectal schwannomas: differentiation from gastrointestinal stromal tumors.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description To find differential CT features of colorectal schwannomas from gastrointestinal stromal tumors (GISTs).CT features of 13 pathologically proven colorectal schwannomas and 21 GISTs were retrospectively reviewed. The following CT items were analyzed: size, longitudinal and transverse location, shape, margin, homogeneity, necrosis, surface ulceration, calcification, degree of attenuation, the presence of enlarged lymph node (LN), and metastasis. Among the features, significant variables were evaluated using univariate statistical tests. The optimal cut-off point of tumor size was obtained by ROC analysis. Binary logistic regression analysis was used to find the most independent CT variables.Small size, non-rectum location, smooth margin, homogeneous high attenuation without necrosis, and the presence of enlarged LNs were found to be significant variables to differentiate schwannomas from GISTs (P<0.05). The optimized cut-off point for tumor size in distinguishing GISTs from schwannomas was 3.9 cm (AUC = 0.808, sensitivity = 66.7%, specificity = 92.3%, P<0.0001). Binary regression analysis revealed that only non-rectum location remained independent predictor for schwannomas differentiated from GISTs (odds ratio = 31.667, P = 0.001).Colorectal schwannomas usually located in non-rectum and appear as small subepithelial nodules showing homogeneous high attenuation and smooth margin. Schwannomas exclusively accompany with enlarged LNs.
url http://europepmc.org/articles/PMC5179024?pdf=render
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