google ads
Search

Everything you need to know about Computed Tomography (CT) & CT Scanning

Stomach: Texture Analysis Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ Stomach ❯ Texture Analysis

-- OR --

  • Purpose To evaluate the feasibility of using computed tomography texture analysis (CTTA) parameters for predicting malignant risk grade and mitosis index of gastrointestinal stromal tumors (GISTs), compared with visual inspection.
    Conclusion Using TexRAD, MPP and kurtosis are feasible in predicting risk grade and mitosis index of GISTs. CTTA demonstrated meaningful accuracy in preoperative risk stratification of GISTs.
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    Choi IY et al.
    Abdominal Radiology (2019) 44:2346–2356
  • “In the NCCN guideline, if the size of the tumor is more than 10 cm or the mitosis count is more than 5 in high- power fields (HPFs), the gastric GIST is classified as a high risk. For tumors in the small and large intestines, if the tumor size exceeds 5 cm, or the mitosis count is more than 5 in 50 HPFs, the tumor is classified as a high risk.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    Choi IY et al.
    Abdominal Radiology (2019) 44:2346–2356
  • “Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. About 10–30% of GISTs are clinically malignant, but all GISTs are considered to have some degree of malignant potential. The malignancy risk of GISTs is deter- mined based on the mitotic index, tumor size, and site of the lesion according to National Comprehensive Cancer Network (NCCN) guidelines.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    Choi IY et al.
    Abdominal Radiology (2019) 44:2346–2356
  • “In conclusions, CTTA parameters, such as MPP and kurtosis can be useful in predict the risk grade and mitosis index of GISTs. In our study, texture analysis parameters demonstrated meaningful accuracy in preoperative diagnosis of tumor risk stratification and can be used as imaging biomarkers for determination of tumor grade.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    Choi IY et al.
    Abdominal Radiology (2019) 44:2346–2356
  • Purpose To evaluate the feasibility of using computed tomography texture analysis (CTTA) parameters for predicting malignant risk grade and mitosis index of gastrointestinal stromal tumors (GISTs), compared with visual inspection. Conclusion Using TexRAD, MPP and kurtosis are feasible in predicting risk grade and mitosis index of GISTs. CTTA demonstrated meaningful accuracy in preoperative risk stratification of GISTs.
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “Three to four parameters at different scales were significantly different according to the risk grade, mitosis rate, and the presence or absence of necrosis (p < 0.041). MPP at fine or medium scale (r = − 0.547 to − 393) and kurtosis at coarse scale (r = 0.424–0.454) correlated significantly with risk grade (p < 0.001). HG-GIST was best differentiated from LG-GIST by MPP at SSF 2 (AUC, 0.782), and kurtosis at SSF 4 (AUC, 0.779) (all p<0.001). CT features predictive of HG-GIST were density lower than or equal to that of the erector spinae muscles on enhanced images (OR 2.1; p = 0.037; AUC, 0.59), necrosis (OR, 6.1; p < 0.001; AUC, 0.70), heterogeneity (OR, 4.3; p < 0.001; AUC, 0.67), and mucosal ulceration (OR, 3.3; p = 0.002; AUC, 0.62).”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. About 10–30% of GISTs are clinically malignant, but all GISTs are considered to have some degree of malignant potential. The malignancy risk of GISTs is determined based on the mitotic index, tumor size, and site of the lesion according to National Comprehensive Can- cer Network (NCCN) guidelines.
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “In the NCCN guideline, if the size of the tumor is more than 10 cm or the mitosis count is more than 5 in high- power fields (HPFs), the gastric GIST is classified as a high risk. For tumors in the small and large intestines, if the tumor size exceeds 5 cm, or the mitosis count is more than 5 in 50 HPFs, the tumor is classified as a high risk.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “The mitotic index is the key feature for assessing malignancy risk and is considered one of the most important prognostic factors for GISTs. However, the mitotic index cannot be assessed without histological examination. Preoperative endoscopic biopsy of a mass is commonly performed but it has a risk of hemorrhage. Furthermore, a core-needle biopsy may be inconclusive if a necrotic or hemorrhagic portion of the tumor is sampled and has the limitation of sampling bias.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “CT texture analysis (CTTA) is a novel imaging postprocessing tool used to measure tissue heterogeneity that may not be perceptible to the naked eye. Texture analysis makes available an objective and quantitative evaluation of tumor heterogeneity by analyzing the distribution and relationship of pixel gray levels in the image.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “We hypothesized that CTTA could provide quantitative information about the malignancy risk and mitotic count in GISTs. Therefore, the purpose of our study was to the evaluate feasibility of using CTTA parameters for predicting the malignancy risk and mitotic index of GISTs, in comparison with the visual inspection.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • This study showed that CTTA parameters may be helpful in preoperative stratification of malignancy risk of GIST. We found that HG-GISTs were characterized by significantly lower mean, SD, and MPP, and higher skewness and kurto- sis, compared with LG-GISTs. ROC analysis demonstrated that MPP at a fine SSF and kurtosis at a coarse SSF showed the highest diagnostic performance for differentiating HG- GISTs from LG-GISTs. These texture analysis parameters were superior to conventional parameters, such as mean density or SD, in the differential diagnosis of HG-GISTs and LG-GISTs.
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
  • “In conclusions, CTTA parameters, such as MPP and kurtosis can be useful in predict the risk grade and mitosis index of GISTs. In our study, texture analysis parameters demonstrated meaningful accuracy in preoperative diagno- sis of tumor risk stratification and can be used as imaging biomarkers for determination of tumor grade.”
    Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
    In Young Choi et al.
    Abdominal Radiology https://doi.org/10.1007/s00261-019-01995-4
© 1999-2019 Elliot K. Fishman, MD, FACR. All rights reserved.