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Liu S, Liu S, Ji C, Zheng H, Pan X, Zhang Y, Guan W, Chen L, Guan Y, Li W, He J, Ge Y, Zhou Z. Application of CT texture analysis in predicting histopathological characteristics of gastric cancers. Eur Radiol 2017. [PMID: 28643092 DOI: 10.1007/s00330-017-4881-1] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To explore the application of computed tomography (CT) texture analysis in predicting histopathological features of gastric cancers. METHODS Preoperative contrast-enhanced CT images and postoperative histopathological features of 107 patients (82 men, 25 women) with gastric cancers were retrospectively reviewed. CT texture analysis generated: (1) mean attenuation, (2) standard deviation, (3) max frequency, (4) mode, (5) minimum attenuation, (6) maximum attenuation, (7) the fifth, 10th, 25th, 50th, 75th and 90th percentiles, and (8) entropy. Correlations between CT texture parameters and histopathological features were analysed. RESULTS Mean attenuation, maximum attenuation, all percentiles and mode derived from portal venous CT images correlated significantly with differentiation degree and Lauren classification of gastric cancers (r, -0.231 ~ -0.324, 0.228 ~ 0.321, respectively). Standard deviation and entropy derived from arterial CT images also correlated significantly with Lauren classification of gastric cancers (r = -0.265, -0.222, respectively). In arterial phase analysis, standard deviation and entropy were significantly lower in gastric cancers with than those without vascular invasion; however, minimum attenuation was significantly higher in gastric cancers with than those without vascular invasion. CONCLUSION CT texture analysis held great potential in predicting differentiation degree, Lauren classification and vascular invasion status of gastric cancers. KEY POINTS • CT texture analysis is noninvasive and effective for gastric cancer. • Portal venous CT images correlated significantly with differentiation degree and Lauren classification. • Standard deviation, entropy and minimum attenuation in arterial phase reflect vascular invasion.
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Affiliation(s)
- Shunli Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Song Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Changfeng Ji
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Huanhuan Zheng
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Xia Pan
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Yujuan Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Wenxian Guan
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Ling Chen
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008
| | - Yue Guan
- School of Electronic Science and Engineering, Nanjing University, No. 163 Xianlin Avenue, Nanjing, China, 210046
| | - Weifeng Li
- School of Electronic Science and Engineering, Nanjing University, No. 163 Xianlin Avenue, Nanjing, China, 210046
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008.
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, No. 163 Xianlin Avenue, Nanjing, China, 210046.
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing, Jiangsu Province, China, 210008.
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Lestuzzi C, De Paoli A, Baresic T, Miolo G, Buonadonna A. Malignant cardiac tumors: diagnosis and treatment. Future Cardiol 2015; 11:485-500. [DOI: 10.2217/fca.15.10] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Primary malignant cardiac tumors are represented by sarcomas and non-Hodgkin lymphomas. They are rare, affect mostly patients in the fourth decade of life and have a severe prognosis. Both the diagnosis and the treatment require a multidisciplinary approach, and the cardiologist plays a central role both in the diagnosis and in the follow-up. The prognosis may be improved by a careful planning of surgery and by the use of multimodality treatment, including complementary chemotherapy and radiation therapy. A strict follow-up must be planned even after apparently complete cure.
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Affiliation(s)
- Chiara Lestuzzi
- Cardiology Unit, Oncology Department, CRO, National Cancer Institute (IRCCS), Aviano (PN), Italy
| | - Antonino De Paoli
- Radiation Oncology Department, CRO, National Cancer Institute (IRCCS), Aviano (PN), Italy
| | - Tanja Baresic
- Nuclear Medicine Unit, CRO, National Cancer Institute (IRCCS), Via F Gallini 2, 33081, Aviano (PN), Italy
| | - Gianmaria Miolo
- Medical Oncology, Oncology Department, CRO, National Cancer Institute (IRCCS), Aviano (PN), Italy
| | - Angela Buonadonna
- Medical Oncology, Oncology Department, CRO, National Cancer Institute (IRCCS), Aviano (PN), Italy
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