Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker

被引:115
作者
Giganti, Francesco [1 ,2 ,3 ]
Antunes, Sofia [4 ]
Salerno, Annalaura [1 ,2 ,3 ]
Ambrosi, Alessandro [3 ]
Marra, Paolo [1 ,2 ,3 ]
Nicoletti, Roberto [1 ,2 ]
Orsenigo, Elena [5 ]
Chiari, Damiano [3 ,5 ]
Albarello, Luca [6 ]
Staudacher, Carlo [3 ,5 ]
Esposito, Antonio [1 ,2 ,3 ]
Del Maschio, Alessandro [1 ,2 ,3 ]
De Cobelli, Francesco [1 ,2 ,3 ]
机构
[1] Ist Sci San Raffaele, Dept Radiol, Via Olgettina 60, I-20132 Milan, Italy
[2] Ist Sci San Raffaele, Ctr Expt Imaging, Via Olgettina 60, I-20132 Milan, Italy
[3] San Raffaele Vita Salute Univ, Milan, Italy
[4] Ist Sci San Raffaele, Ctr Expt Imaging, Milan, Italy
[5] Ist Sci San Raffaele, Dept Surg, Milan, Italy
[6] Ist Sci San Raffaele, Pathol Unit, Milan, Italy
关键词
Gastric cancer; Multidetector computed tomography; Prognosis; Survival; Medical oncology; TUMOR HETEROGENEITY; CT TEXTURE; ROW CT; CHEMOTHERAPY; ESOPHAGEAL; SURVIVAL; CLASSIFICATION; ASSOCIATION; CARCINOMA; PATHOLOGY;
D O I
10.1007/s00330-016-4540-y
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
To investigate the association between preoperative texture analysis from multidetector computed tomography (MDCT) and overall survival in patients with gastric cancer. Institutional review board approval and informed consent were obtained. Fifty-six patients with biopsy-proved gastric cancer were examined by MDCT and treated with surgery. Image features from texture analysis were quantified, with and without filters for fine to coarse textures. The association with survival time was assessed using Kaplan-Meier and Cox analysis. The following parameters were significantly associated with a negative prognosis, according to different thresholds: energy [no filter] - Logarithm of relative risk (Log RR): 3.25; p = 0.046; entropy [no filter] (Log RR: 5.96; p = 0.002); entropy [filter 1.5] (Log RR: 3.54; p = 0.027); maximum Hounsfield unit value [filter 1.5] (Log RR: 3.44; p = 0.027); skewness [filter 2] (Log RR: 5.83; p = 0.004); root mean square [filter 1] (Log RR: - 2.66; p = 0.024) and mean absolute deviation [filter 2] (Log RR: - 4.22; p = 0.007). Texture analysis could increase the performance of a multivariate prognostic model for risk stratification in gastric cancer. Further evaluations are warranted to clarify the clinical role of texture analysis from MDCT. aEuro cent Textural analysis from computed tomography can be applied in gastric cancer. aEuro cent Preoperative non-invasive texture features are related to prognosis in gastric cancer. aEuro cent Texture analysis could help to evaluate the aggressiveness of this tumour.
引用
收藏
页码:1831 / 1839
页数:9
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