Characterizing MRI features of rectal cancers with different KRAS status
Abstract Background To investigate whether MRI findings, including texture analysis, can differentiate KRAS mutation status in rectal cancer. Methods Totally, 158 patients with pathologically proved rectal cancers and preoperative pelvic MRI examinations were enrolled. Patients were stratified into...
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| Format: | Article |
| Language: | English |
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BMC
2019-11-01
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| Series: | BMC Cancer |
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| Online Access: | http://link.springer.com/article/10.1186/s12885-019-6341-6 |
| _version_ | 1819161900015943680 |
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| author | Yanyan Xu Qiaoyu Xu Yanhui Ma Jianghui Duan Haibo Zhang Tongxi Liu Lu Li Hongliang Sun Kaining Shi Sheng Xie Wu Wang |
| author_facet | Yanyan Xu Qiaoyu Xu Yanhui Ma Jianghui Duan Haibo Zhang Tongxi Liu Lu Li Hongliang Sun Kaining Shi Sheng Xie Wu Wang |
| author_sort | Yanyan Xu |
| collection | DOAJ |
| description | Abstract Background To investigate whether MRI findings, including texture analysis, can differentiate KRAS mutation status in rectal cancer. Methods Totally, 158 patients with pathologically proved rectal cancers and preoperative pelvic MRI examinations were enrolled. Patients were stratified into two groups: KRAS wild-type group (KRASwt group) and KRAS mutation group (KRASmt group) according to genomic DNA extraction analysis. MRI findings of rectal cancers (including texture features) and relevant clinical characteristics were statistically evaluated to identify the differences between the two groups. The independent samples t test or Mann-Whitney U test were used for continuous variables. The differences of the remaining categorical polytomous variables were analyzed using the Chi-square test or Fisher exact test. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminatory power of MRI features. The area under the ROC curve (AUC) and the optimal cut-off values were calculated using histopathology diagnosis as a reference; meanwhile, sensitivity and specificity were determined. Results Mean values of six texture parameters (Mean, Variance, Skewness, Entropy, gray-level nonuniformity, run-length nonuniformity) were significantly higher in KRASmt group compared to KRASwt group (p < 0.0001, respectively). The AUC values of texture features ranged from 0.703~0.813. In addition, higher T stage and lower ADC values were observed in the KRASmt group compared to KRASwt group (t = 7.086, p = 0.029; t = − 2.708, p = 0.008). Conclusion The MRI findings of rectal cancer, especially texture features, showed an encouraging value for identifying KRAS status. |
| first_indexed | 2024-12-22T17:19:41Z |
| format | Article |
| id | doaj.art-53d5f571f23e419dbd03757be4f850b9 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-12-22T17:19:41Z |
| publishDate | 2019-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-53d5f571f23e419dbd03757be4f850b92022-12-21T18:18:53ZengBMCBMC Cancer1471-24072019-11-0119111110.1186/s12885-019-6341-6Characterizing MRI features of rectal cancers with different KRAS statusYanyan Xu0Qiaoyu Xu1Yanhui Ma2Jianghui Duan3Haibo Zhang4Tongxi Liu5Lu Li6Hongliang Sun7Kaining Shi8Sheng Xie9Wu Wang10Department of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalPhilips HealthcareDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, China-Japan Friendship HospitalAbstract Background To investigate whether MRI findings, including texture analysis, can differentiate KRAS mutation status in rectal cancer. Methods Totally, 158 patients with pathologically proved rectal cancers and preoperative pelvic MRI examinations were enrolled. Patients were stratified into two groups: KRAS wild-type group (KRASwt group) and KRAS mutation group (KRASmt group) according to genomic DNA extraction analysis. MRI findings of rectal cancers (including texture features) and relevant clinical characteristics were statistically evaluated to identify the differences between the two groups. The independent samples t test or Mann-Whitney U test were used for continuous variables. The differences of the remaining categorical polytomous variables were analyzed using the Chi-square test or Fisher exact test. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminatory power of MRI features. The area under the ROC curve (AUC) and the optimal cut-off values were calculated using histopathology diagnosis as a reference; meanwhile, sensitivity and specificity were determined. Results Mean values of six texture parameters (Mean, Variance, Skewness, Entropy, gray-level nonuniformity, run-length nonuniformity) were significantly higher in KRASmt group compared to KRASwt group (p < 0.0001, respectively). The AUC values of texture features ranged from 0.703~0.813. In addition, higher T stage and lower ADC values were observed in the KRASmt group compared to KRASwt group (t = 7.086, p = 0.029; t = − 2.708, p = 0.008). Conclusion The MRI findings of rectal cancer, especially texture features, showed an encouraging value for identifying KRAS status.http://link.springer.com/article/10.1186/s12885-019-6341-6Rectal cancerMagnetic resonance imagingTextureKRAS mutation |
| spellingShingle | Yanyan Xu Qiaoyu Xu Yanhui Ma Jianghui Duan Haibo Zhang Tongxi Liu Lu Li Hongliang Sun Kaining Shi Sheng Xie Wu Wang Characterizing MRI features of rectal cancers with different KRAS status BMC Cancer Rectal cancer Magnetic resonance imaging Texture KRAS mutation |
| title | Characterizing MRI features of rectal cancers with different KRAS status |
| title_full | Characterizing MRI features of rectal cancers with different KRAS status |
| title_fullStr | Characterizing MRI features of rectal cancers with different KRAS status |
| title_full_unstemmed | Characterizing MRI features of rectal cancers with different KRAS status |
| title_short | Characterizing MRI features of rectal cancers with different KRAS status |
| title_sort | characterizing mri features of rectal cancers with different kras status |
| topic | Rectal cancer Magnetic resonance imaging Texture KRAS mutation |
| url | http://link.springer.com/article/10.1186/s12885-019-6341-6 |
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