A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study
PurposeTo develop a bounding box (BBOX)-based radiomics model for the preoperative diagnosis of occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC) patients.Materials and Methods599 AGC patients from 3 centers were retrospectively enrolled and were divided into training, validation,...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:156cd9ec3f1745368350056efedbde462021-12-03T06:07:14ZA Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study2234-943X10.3389/fonc.2021.777760https://doaj.org/article/156cd9ec3f1745368350056efedbde462021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.777760/fullhttps://doaj.org/toc/2234-943XPurposeTo develop a bounding box (BBOX)-based radiomics model for the preoperative diagnosis of occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC) patients.Materials and Methods599 AGC patients from 3 centers were retrospectively enrolled and were divided into training, validation, and testing cohorts. The minimum circumscribed rectangle of the ROIs for the largest tumor area (R_BBOX), the nonoverlapping area between the tumor and R_BBOX (peritumoral area; PERI) and the smallest rectangle that could completely contain the tumor determined by a radiologist (M_BBOX) were used as inputs to extract radiomic features. Multivariate logistic regression was used to construct a radiomics model to estimate the preoperative probability of OPM in AGC patients.ResultsThe M_BBOX model was not significantly different from R_BBOX in the validation cohort [AUC: M_BBOX model 0.871 (95% CI, 0.814–0.940) vs. R_BBOX model 0.873 (95% CI, 0.820–0.940); p = 0.937]. M_BBOX was selected as the final radiomics model because of its extremely low annotation cost and superior OPM discrimination performance (sensitivity of 85.7% and specificity of 82.8%) over the clinical model, and this radiomics model showed comparable diagnostic efficacy in the testing cohort.ConclusionsThe BBOX-based radiomics could serve as a simpler reliable and powerful tool for the preoperative diagnosis of OPM in AGC patients. And M_BBOX-based radiomics is simpler and less time consuming.Dan LiuWeihan ZhangFubi HuPengxin YuXiao ZhangHongkun YinLanqing YangXin FangBin SongBing WuJiankun HuZixing HuangFrontiers Media S.A.articlegastric cancerperitoneal metastasisradiomicsbounding boxcomputed tomographyNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021) |
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EN |
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gastric cancer peritoneal metastasis radiomics bounding box computed tomography Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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gastric cancer peritoneal metastasis radiomics bounding box computed tomography Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Dan Liu Weihan Zhang Fubi Hu Pengxin Yu Xiao Zhang Hongkun Yin Lanqing Yang Xin Fang Bin Song Bing Wu Jiankun Hu Zixing Huang A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| description |
PurposeTo develop a bounding box (BBOX)-based radiomics model for the preoperative diagnosis of occult peritoneal metastasis (OPM) in advanced gastric cancer (AGC) patients.Materials and Methods599 AGC patients from 3 centers were retrospectively enrolled and were divided into training, validation, and testing cohorts. The minimum circumscribed rectangle of the ROIs for the largest tumor area (R_BBOX), the nonoverlapping area between the tumor and R_BBOX (peritumoral area; PERI) and the smallest rectangle that could completely contain the tumor determined by a radiologist (M_BBOX) were used as inputs to extract radiomic features. Multivariate logistic regression was used to construct a radiomics model to estimate the preoperative probability of OPM in AGC patients.ResultsThe M_BBOX model was not significantly different from R_BBOX in the validation cohort [AUC: M_BBOX model 0.871 (95% CI, 0.814–0.940) vs. R_BBOX model 0.873 (95% CI, 0.820–0.940); p = 0.937]. M_BBOX was selected as the final radiomics model because of its extremely low annotation cost and superior OPM discrimination performance (sensitivity of 85.7% and specificity of 82.8%) over the clinical model, and this radiomics model showed comparable diagnostic efficacy in the testing cohort.ConclusionsThe BBOX-based radiomics could serve as a simpler reliable and powerful tool for the preoperative diagnosis of OPM in AGC patients. And M_BBOX-based radiomics is simpler and less time consuming. |
| format |
article |
| author |
Dan Liu Weihan Zhang Fubi Hu Pengxin Yu Xiao Zhang Hongkun Yin Lanqing Yang Xin Fang Bin Song Bing Wu Jiankun Hu Zixing Huang |
| author_facet |
Dan Liu Weihan Zhang Fubi Hu Pengxin Yu Xiao Zhang Hongkun Yin Lanqing Yang Xin Fang Bin Song Bing Wu Jiankun Hu Zixing Huang |
| author_sort |
Dan Liu |
| title |
A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| title_short |
A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| title_full |
A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| title_fullStr |
A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| title_full_unstemmed |
A Bounding Box-Based Radiomics Model for Detecting Occult Peritoneal Metastasis in Advanced Gastric Cancer: A Multicenter Study |
| title_sort |
bounding box-based radiomics model for detecting occult peritoneal metastasis in advanced gastric cancer: a multicenter study |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/156cd9ec3f1745368350056efedbde46 |
| work_keys_str_mv |
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