Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

Chen, Weicui; Wei, Qiurong; Huang, Weikang; Chen, Jialiang; Hu, Shaowei; Lv, Xiaoyi; Mao, Liting; Liu, Bo; Zhou, Wu; Lu, Xian

doi:10.1016/j.ejrad.2022.110155

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…The Shapiro-Wilk test was used to test the normality, whereas the homogeneity of variances were measured by the Levene's test. [31][32][33] Considering the small sample size, a residual plot was used to measure the feasibility of the model. Then, a two-way analysis of variance (ANOVA) was employed to analyze possible differences between the microsphere diameters under various accelerating voltages (15 kV, 20 kV and 25 kV) and magnications (8000×, 10 000×, 15 000× and 20 000×), which were selected as the independent variables.…”

Section: Data Analysesmentioning

confidence: 99%

Bulk synthesis of conductive non-metallic carbon nanospheres and a 3D printed carrier device for scanning electron microscope calibration

Wang

Hao

et al. 2023

RSC Adv.

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Section: Data Analysesmentioning

confidence: 99%

Bulk synthesis of conductive non-metallic carbon nanospheres and a 3D printed carrier device for scanning electron microscope calibration

Wang

Hao

et al. 2023

RSC Adv.

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Pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging

Zhou,

Chen,

Luo

et al. 2024

Eur Radiol

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Non-invasive prediction of KRAS mutation in rectal cancer using hybrid intravoxel incoherent motion and diffusion kurtosis model

YUAN,

Wang,

Tan

et al. 2024

Preprint

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Purpose: This study seeks to evaluate the efficacy of the hybrid intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) model in predicting Sarcoma Viral Oncogene Homologue (KRAS) mutation status in rectal cancer patients. Materials and Methods: Rectal cancer patients received hybrid IVIM-DKI MRI, surgery, and KRAS mutation status was assessed. The parameters derived from the hybrid IVIM-DKI model, including the apparent diffusion coefficient (ADC), true diffusion coefficient (D), diffusion kurtosis (K), perfusion fraction (f), and pseudo-diffusion coefficient (D*), were compared between the KRAS mutation group and wild-type group. The diagnostic performance was evaluated using the receiver operating characteristic (ROC) curve. The hybrid IVIM-DKI parameters and their association with clinicopathological features were also explored. Results: In this prospective study, 73 patients (mean age, 66 ± 11 years) of 50 men and 23 women were included. Significant differences were observed between the KRAS mutation and wild-type groups for ADC, D, and K values (p < 0.05). The K value derived from the IVIM-DKI model demonstrated the highest area under the ROC curve (AUC = 0.779) in characterizing KRAS mutation status, with a sensitivity of 88.1% and specificity of 70.3%. The ADC value also showed satisfactory diagnostic performance (AUC = 0.702). Specific IVIM-DKI parameters, such as f and K, were associated with various clinicopathological features, suggesting their potential as imaging biomarkers. Conclusion: The hybrid IVIM-DKI model, especially the K value, shows promise as a non-invasive tool for predicting KRAS mutation status in rectal cancer patients, potentially improving personalized treatment strategies.

show abstract

Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma

Cited by 3 publications

References 33 publications

Bulk synthesis of conductive non-metallic carbon nanospheres and a 3D printed carrier device for scanning electron microscope calibration

Bulk synthesis of conductive non-metallic carbon nanospheres and a 3D printed carrier device for scanning electron microscope calibration

Pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging

Non-invasive prediction of KRAS mutation in rectal cancer using hybrid intravoxel incoherent motion and diffusion kurtosis model

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