Associations between IVIM histogram parameters and histopathology in rectal cancer

Meyer, Hans‐Jonas; Höhn, Anne Kathrin; Woidacki, Katja; Andric, Mihailo; Powerski, Maciej; Pech, Maciej; Surov, Alexey

doi:10.1016/j.mri.2020.12.008

Cited by 17 publications

(19 citation statements)

References 32 publications

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“…Langer et al 27 found a negative association between ADC value and nuclear fraction in prostate cancer, which indicated that the size or volume of nucleic acids might influence water diffusion in tissues. In this study, a moderate negative correlation was found between ADC and D values and the nuclear fraction of RMS; this finding was similar to Meyer et al 28 This was because malignant tumor cells are usually dense and have a relatively large nucleus area, which obstructs the diffusion of water molecules; therefore, the ADC and D values were lower. This finding led to the hypothesis that more specific information on the effects of tumor treatment could be provided by monitoring changes in tumor subcellular structure.…”

Section: Discussionsupporting

confidence: 90%

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Fang

Yang

Chen

et al. 2021

Magnetic Resonance Imaging

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Background High cellularity and abnormal interstitial structures are some of the unfavorable factors that affect the treatment outcomes and survival of rhabdomyosarcoma (RMS) patients. Purpose To explore the correlation between diffusion‐weighted imaging (DWI) and intravoxel incoherent motion (IVIM) with quantitative histopathologic features in a murine model of RMS. Study Type Prospective. Animal Model Murine model of RMS (31 female BALB/c nude mice). Field Strength/Sequence 3.0 T; fast spin‐echo (FSE) T1‐weighted imaging, fast relaxation fast spin‐echo (FRFSE) T2‐weighted imaging, DWI PROPELLER FSE imaging sequence, and IVIM echo planar imaging sequence; 10 different b‐values (0, 50, 100, 150, 200, 400, 600, 800, 1000, and 1200 s/mm2). Assessment Magnetic resonance imaging (MRI) was performed after 30–45 days of implantation. The following MRI parameters were calculated: apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo‐diffusion coefficient (D*), and perfusion fraction (f). Histopathologic features, which contained nuclear, cytoplasmic, and stromal fractions, and the nuclear‐to‐cytoplasmic ratio within the tumor were measured using image‐based segmentation. Statistical Tests Pearson's correlation, multiple linear regression analysis, and receiver operating characteristic curve analysis were performed. A P < 0.05 was considered statistically significant. Results The ADC value showed moderate negative correlation with nuclear fraction (r = −0.540), and moderate positive correlation with stroma fraction (r = 0.474). The D value showed moderate negative correlation with nuclear fraction (r = −0.491), and moderate positive correlation with stroma fraction (r = 0.421). The f value showed a moderate negative correlation with stroma fraction (r = −0.423). The D value showed the best diagnostic ability. The optimal cut‐off D value of 0.460 was associated with 77.8% sensitivity and 68.2% specificity (area under the curve, 0.747). Data Conclusion The ADC, D, and f values obtained from DWI and IVIM images showed moderate correlation with the quantitative histopathologic features in a murine model of RMS. Level of Evidence 1 Technical Efficacy Stage 3

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Section: Discussionsupporting

confidence: 90%

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Fang

Yang

Chen

et al. 2021

Magnetic Resonance Imaging

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“…9 Among the studies using Ki-67, a number of MRI studies have shown that using the apparent diffusion coefficient value of diffusionweighted imaging (DWI) or the D value of intravoxel incoherent motion using its derivative technology have good judgment value for the performance of Ki-67. [10][11][12] However, regardless of whether DWI or its derivative technology is used, because the scanning time is very long, patients need to have a good respiratory status and some patients with more serious conditions cannot tolerate this examination well.…”

Section: Introductionmentioning

confidence: 99%

Application of dual-layer spectral detector computed tomography to evaluate the expression of Ki-67 in colorectal cancer

Wang

Zhang

et al. 2022

Journal of the Chinese Medical Association

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Background: Compared with traditional computed tomography (CT), dual-layer spectral detector CT (SDCT) shows significant improvement in imaging soft tissues of the digestive tract. This work aimed to explore the application of SDCT to evaluate the expression of the molecular marker Ki-67 in colorectal cancer. Methods: We retrospectively analyzed the imaging data of the SDCT (IQon Spectral CT; Philips Healthcare) of 45 patients with colorectal cancer in our centre. We used Spearman’s test for the imaging parameters (reconstruction of 40, 70, and 100 keV virtual monoenergetic images [VMIs] and the slope of the Hounsfield unit attenuation plot [VMI Slope] based on venous phase CT images, the arterial phase iodine concentration [AP-IC] and venous phase iodine concentration [VP-IC], and the effective atomic number [Z effect]) and correlation analysis for the Ki-67 index. Multivariate logistic regression was used to eliminate confounding factors. We evaluated the expression level of Ki-67 and drew the receiver operating characteristic curve. Results: The 40-keV VMI, VMI Slope, and AP-IC were found to better reflect the Ki-67 index in patients with colorectal cancer with statistical significance. The 40-keV VMI (r = −0.612, p < 0.001) and VMI Slope (r = −0.523, p < 0.001) were negatively correlated with the Ki-67 index, and AP-IC (r = 0.378, p = 0.010) was positively correlated with the Ki-67 index. The other indexes (p > 0.05) were not statistically significant. The SDCT parameters demonstrated good performance, with area under curves of 0.785 for 40-keV VMI and 0.752 for AP-IC. Conclusion: The SDCT parameters 40-keV VMI and AP-IC can be used for preliminary evaluation of the Ki-67 index in colorectal cancer.

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“…Current MRI techniques of rectal cancer utilized in clinics are comprised of T2 weighted imaging, diffusion-weighted imaging (DWI), dynamic-contrast-enhanced imaging technique (DCE), and other functional techniques. For instance, as for MR functional technique, some report ( 11 ) indicated that IVIM parameters, f, D and D* can reflect clinically relevant histopathological features in rectal cancer. However, some MRI techniques are inherent with inadequacies.…”

Section: Introductionmentioning

confidence: 99%

Quantitative T2-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2 and Apparent Diffusion Coefficient With Histopathological Prognostic Factors

Yang

Luo

et al. 2021

Front. Oncol.

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PurposeTo assess T2*-weighted imaging (T2*WI) and reduced field-of-view diffusion-weighted Imaging (rDWI) derived parameters and their relationships with histopathological factors in patients with rectal cancer.MethodsFifty-four patients with pathologically-proven rectal cancer underwent preoperative T2*-weighted imaging and rDWI in this retrospective study. R2* values from T2*-weighted imaging and apparent diffusion coefficient (ADC) values from rDWI were compared in terms of different histopathological prognostic factors using student’s t-test or Mann-Whitney U-test. The correlations of R2* and ADC with prognostic factors were assessed by Spearman correlation analysis. The diagnostic performances of R2* and ADC were analyzed by receiver operating characteristic curves (ROC) separately and jointly.ResultsSignificant positive correlation was found between R2* values and T stage, lymph node involvement, histological grades, CEA level, the presence of EMVI and tumor deposit (r = 0.374 ~ 0.673, p = 0.000–0.006), with the exception of CA19-9 level, CRM status and tumor involvement in the circumference lumen (TIL). Meanwhile, ADC values negatively correlated with almost all the prognostic factors (r = −0.588 to −0.299, p = 0.000–0.030), except CA19-9 level. The AUC range was 0.724–0.907 for R2* and 0.674–0.887 for ADC in discrimination of different prognostic factors. While showing the highest AUC of 0.913 (0.803–1.000) in differentiation of T stage, combination of R2* and ADC with reference to different prognostic factors did not significantly improve the diagnostic performance in comparison with individual R2*/ADC parameter.ConclusionsR2* and ADC were associated with important histopathological prognostic factors of rectal cancer. R2* might act as additional quantitative imaging marker for tumor characterization of rectal cancer.

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Associations between IVIM histogram parameters and histopathology in rectal cancer

Cited by 17 publications

References 32 publications

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Application of dual-layer spectral detector computed tomography to evaluate the expression of Ki-67 in colorectal cancer

Quantitative T2-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2 and Apparent Diffusion Coefficient With Histopathological Prognostic Factors

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Associations between IVIM histogram parameters and histopathology in rectal cancer

Cited by 17 publications

References 32 publications

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

DWI and IVIM Imaging in a Murine Model of Rhabdomyosarcoma: Correlations with Quantitative Histopathologic Features

Application of dual-layer spectral detector computed tomography to evaluate the expression of Ki-67 in colorectal cancer

Quantitative T2*-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2* and Apparent Diffusion Coefficient With Histopathological Prognostic Factors

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Quantitative T2-Weighted Imaging and Reduced Field-of-View Diffusion-Weighted Imaging of Rectal Cancer: Correlation of R2 and Apparent Diffusion Coefficient With Histopathological Prognostic Factors