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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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 |
work_keys_str_mv |
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