Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner

Sun, Yueming; Xiao, Qin; Hu, Feixiang; Fu, Caixia; Jia, Huixun; Xu, Yan; Xin, Chao; Cai, Sanjun; Peng, Weijun; Wang, Xiaolin; Tong, Tong; Gu, Yajia

doi:10.1007/s00330-018-5495-y

Cited by 19 publications

(11 citation statements)

References 20 publications

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“…The interobserver agreement was proved to be good to excellent for the whole‐tumor volume histogram metrics of DW‐MRI‐derived parameters (ADC, D, K), as reported in our previous study with the same observers . Furthermore, whole‐tumor slice (WTS)‐outline ROI resulted in the best intra‐ and interobserver ICC, compared with single and three slices ROI analysis . Therefore, whole‐tumor measurement performed by a single radiologist was regarded as sufficient and used for further analysis in this study.…”

Section: Methodssupporting

confidence: 65%

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Diffusion kurtosis imaging‐derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings

Cui

Yang

et al. 2019

Magnetic Resonance Imaging

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Background Although histological examination is the standard method for assessing genetic status, the development of a noninvasive method, which can display the heterogeneity of the whole tumor to supplement genotype analysis, might be important for personalized treatment strategies. Purpose To evaluate the potential role of diffusion kurtosis imaging (DKI)‐derived parameters using histogram analysis derived from whole‐tumor volumes for prediction of the status of KRAS mutations in patients with rectal adenocarcinoma. Study Type Retrospective. Subjects In all, 148 consecutive patients with histologically confirmed rectal adenocarcinoma who were treated at our institution. Sequence DKI was performed with a 3.0 T MRI system using a single‐shot echo‐planar imaging sequence with b values of 0, 700, 1400, and 2100 sec/mm2. Assessment D, K, and apparent diffusion coefficient (ADC) values were measured using whole‐tumor volume histogram analysis and were compared between different KRAS mutations status. Statistical Tests Student's t‐test or Mann–Whitney U‐test, and receiver operating characteristic (ROC) curves were used for statistical analysis. Results All the percentile metrics of ADC and D values were significantly lower in the mutated group than those in the wildtype group (all P < 0.05), except for the minimum value of ADC and D (both P > 0.05), while K‐related percentile metrics were higher in the mutated group compared with those in the wildtype group (all P < 0.05). Regarding the comparison of the diagnostic performance of all the histogram metrics, K75th showed the highest AUC value of 0.871, and the corresponding values for sensitivity, specificity, positive predictive value, and negative predictive value were 81.43%, 78.21%, 77.03%, and 82.43%, respectively. Data Conclusion DKI metrics with whole‐tumor volume histogram analysis is associated with KRAS mutations, and thus may be useful for predicting the KRAS status of rectal cancers for guiding targeted therapy. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:930–939.

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Section: Methodssupporting

confidence: 65%

“…25 Furthermore, whole-tumor slice (WTS)-outline ROI resulted in the best intra-and interobserver ICC, compared with single and three slices ROI analysis. 26 Therefore, whole-tumor measurement performed by a single radiologist was regarded as sufficient and used for further analysis in this study.…”

Section: Image Analysismentioning

confidence: 99%

Diffusion kurtosis imaging‐derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings

Cui

Yang

et al. 2019

Magnetic Resonance Imaging

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“…We suggested that there might be selection bias placing small size-fixed round ROIs. A recent study [20] suggested that to analyze a larger number of pixels may result in more reproducible results for the measured parameters. Furthermore, We chose consecutive three slices of ROIs (the slice with the prominent lesion section and the adjacent up and down slices), thus could decrease the deviation of sampling between cases and increase the reliability of results [16].…”

Section: Discussionmentioning

confidence: 99%

Evaluating the inflammatory activity in Crohn’s disease using magnetic resonance diffusion kurtosis imaging

et al. 2019

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Objectives To explore the feasibility of diffusion kurtosis imaging (DKI) for evaluating inflammatory activity in Crohn's disease (CD). Materials and methods In all, 51 CD patients were included, who were performed with consecutive enteroscopy, MR and DKI (b values = 0-2000 mm 2 /s). The lesions of bowel segments were graded as inactive (0-2), mild (3-6), and moderatesevere group (> 6) based on simplified endoscopic activity score for Crohn's disease (SES-CD), The abilities of the parameters of DKI and DWI in grading different activity lesions were compared. Results One hundred and twenty-seven bowel segments including inactive (15), mild (45) and moderate-severe (67) were analyzed. ADC (r = − 0.627, p < 0.001), D app (r = − 0.381, p < 0.001) and K app (r = 0.641, p < 0.001) were correlated with SES-CD. These parameters were significantly different among the three groups (all p < 0.001). ROC analysis found ADC had the highest accuracy (AUC = 0.884, p < 0.001) to differentiate inactive from active group with the threshold at 0.865 × 10 −3 mm 2 /s, which was slightly higher than K app (AUC = 0.867, p < 0.001) with the threshold at 0.645, and was obviously higher than D app (AUC = 0.726, p = 0.005). Similarly, ADC also had the highest accuracy (AUC = 0.846, p < 0.001) to differentiate inactive-mild from moderate-severe group with the threshold at 0.825 × 10 −3 mm 2 /s, and minimally higher than K app (AUC = 0.843, p < 0.001) with the threshold at 0.695, and obviously higher than D app (AUC = 0.690, p < 0.001). Conclusion DKI is feasible and comparable to conventional DWI for the evaluation of inflammatory activity in CD.

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“…Nineteen healthy persons aged 28-43 years old (average (35.9±4.2) were selected as the control group during the same period. All subjects signed informed consent (12). Based on this setting, the migration and movement of breast cancer cells (lesions) were studied.…”

Section: Research Methods Of Breast Cancer Cell Migration and Movement-based On Intravoxel Incoherent Motion Imaging Research Datamentioning

confidence: 99%

Application of intravoxel incoherent motion imaging in the study of migration and movement of cancer cells

Wang

Ahmed

2020

Cell Mol Biol (Noisy-le-grand)

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IVIM imaging technology can obtain physiological information of tissue cells and blood perfusion at the same time in one imaging process. Taking female patients in Shenzhen Maternal and Child Health Hospital affiliated to Southern Medical University as an example, the migration and movement of breast cancer cells and hepatocellular carcinoma cells are studied by intravoxel incoherent motion imaging. Apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f) are measured by the IVIM bi-index model, and statistical analysis is made. The results show that the IVIM bi-index model can truly reflect the diffusion of water molecules in breast mass-like lesions, and reflect the migration and movement of breast cancer cells. Especially D value has important reference significance for the research and diagnosis of breast cancer cells. IVIM bi-index model has limited diagnostic value for the migration and movement of common hepatocellular carcinoma cells, and ADC value may have higher diagnostic efficiency.

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Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner

Cited by 19 publications

References 20 publications

Diffusion kurtosis imaging‐derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings

Diffusion kurtosis imaging‐derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings

Evaluating the inflammatory activity in Crohn’s disease using magnetic resonance diffusion kurtosis imaging

Application of intravoxel incoherent motion imaging in the study of migration and movement of cancer cells

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