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Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors

Gastrointestinal stromal tumors (GISTs), leiomyomas, and schwannomas are the most common gastric subepithelial tumors (GSETs) with similar endoscopic findings. Preoperative prediction of GSETs is difficult. This study analyzed and predicted GSET diagnosis through a retrospective review of 395 patien...

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Autores principales: Lin, Yu-Ning, Chen, Ming-Yan, Tsai, Chun-Yi, Chou, Wen-Chi, Hsu, Jun-Te, Yeh, Chun-Nan, Yeh, Ta-Sen, Liu, Keng-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879060/
https://www.ncbi.nlm.nih.gov/pubmed/35207784
http://dx.doi.org/10.3390/jpm12020297
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author Lin, Yu-Ning
Chen, Ming-Yan
Tsai, Chun-Yi
Chou, Wen-Chi
Hsu, Jun-Te
Yeh, Chun-Nan
Yeh, Ta-Sen
Liu, Keng-Hao
author_facet Lin, Yu-Ning
Chen, Ming-Yan
Tsai, Chun-Yi
Chou, Wen-Chi
Hsu, Jun-Te
Yeh, Chun-Nan
Yeh, Ta-Sen
Liu, Keng-Hao
author_sort Lin, Yu-Ning
collection PubMed
description Gastrointestinal stromal tumors (GISTs), leiomyomas, and schwannomas are the most common gastric subepithelial tumors (GSETs) with similar endoscopic findings. Preoperative prediction of GSETs is difficult. This study analyzed and predicted GSET diagnosis through a retrospective review of 395 patients who underwent surgical resection of GISTs, leiomyomas, and schwannomas measuring 2–10 cm. GSETs were divided by size (group 2–5, >2 and ≤5 cm; group 5–10, >5 and ≤10 cm) for analysis. Demographics, clinical symptoms, and images were analyzed. A recursive partitioning analysis (RPA) was used to identify optimal classifications for specific GSET diagnoses. GIST patients were relatively older than other patients. Both groups had higher proportions of UGI bleeding, lower hemoglobin (Hb) levels, and a higher ratio of necrosis on their computed tomography (CT) scans. The RPA tree showed that (a) age ≤ 55, Hb ≥ 10.7, and CT necrosis; (b) age ≤ 55 and Hb < 10.7; (c) age >55 and Hb < 12.9; and (d) age >55 and CT hetero-/homogeneity can predict high GIST risk in group 2–5. Positive or negative CT necrosis, with age >55, can predict high GIST risk in group 5–10. GIST patients were older and presented with low Hb levels and tumor necrosis. In RPA, the accuracy reached 85% and 89% in groups 2–5 and 5–10, respectively.
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spelling pubmed-88790602022-02-26 Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors Lin, Yu-Ning Chen, Ming-Yan Tsai, Chun-Yi Chou, Wen-Chi Hsu, Jun-Te Yeh, Chun-Nan Yeh, Ta-Sen Liu, Keng-Hao J Pers Med Article Gastrointestinal stromal tumors (GISTs), leiomyomas, and schwannomas are the most common gastric subepithelial tumors (GSETs) with similar endoscopic findings. Preoperative prediction of GSETs is difficult. This study analyzed and predicted GSET diagnosis through a retrospective review of 395 patients who underwent surgical resection of GISTs, leiomyomas, and schwannomas measuring 2–10 cm. GSETs were divided by size (group 2–5, >2 and ≤5 cm; group 5–10, >5 and ≤10 cm) for analysis. Demographics, clinical symptoms, and images were analyzed. A recursive partitioning analysis (RPA) was used to identify optimal classifications for specific GSET diagnoses. GIST patients were relatively older than other patients. Both groups had higher proportions of UGI bleeding, lower hemoglobin (Hb) levels, and a higher ratio of necrosis on their computed tomography (CT) scans. The RPA tree showed that (a) age ≤ 55, Hb ≥ 10.7, and CT necrosis; (b) age ≤ 55 and Hb < 10.7; (c) age >55 and Hb < 12.9; and (d) age >55 and CT hetero-/homogeneity can predict high GIST risk in group 2–5. Positive or negative CT necrosis, with age >55, can predict high GIST risk in group 5–10. GIST patients were older and presented with low Hb levels and tumor necrosis. In RPA, the accuracy reached 85% and 89% in groups 2–5 and 5–10, respectively. MDPI 2022-02-17 /pmc/articles/PMC8879060/ /pubmed/35207784 http://dx.doi.org/10.3390/jpm12020297 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Yu-Ning
Chen, Ming-Yan
Tsai, Chun-Yi
Chou, Wen-Chi
Hsu, Jun-Te
Yeh, Chun-Nan
Yeh, Ta-Sen
Liu, Keng-Hao
Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title_full Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title_fullStr Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title_full_unstemmed Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title_short Prediction of Gastric Gastrointestinal Stromal Tumors before Operation: A Retrospective Analysis of Gastric Subepithelial Tumors
title_sort prediction of gastric gastrointestinal stromal tumors before operation: a retrospective analysis of gastric subepithelial tumors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879060/
https://www.ncbi.nlm.nih.gov/pubmed/35207784
http://dx.doi.org/10.3390/jpm12020297
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