TY - JOUR

T1 - Apparent diffusion coefficient and intravoxel incoherent motion-diffusion kurtosis model parameters in invasive breast cancer

T2 - Correlation with the histological parameters of whole-slide imaging

AU - Mori, Naoko

AU - Inoue, Chihiro

AU - Tamura, Hajime

AU - Nagasaka, Tatsuo

AU - Ren, Hainan

AU - Sato, Satoko

AU - Mori, Yu

AU - Miyashita, Minoru

AU - Mugikura, Shunji

AU - Takase, Kei

N1 - Funding Information:
This study was partly supported by JSPS KAKENHI 18K07742 and 18K07662 . The authors thank Daigo Koike, Naoko Hirose, Kanako Shibui, Kyuhei Takahashi, Yo Oguma, and Hiroaki Shimizu at Tohoku University for their kind support.
Publisher Copyright:
© 2022 Elsevier Inc.

PY - 2022/7

Y1 - 2022/7

N2 - Objectives: To evaluate the correlation of ADC and IVIM-diffusion kurtosis (DK) model parameters with quantitative histological parameters of whole-slide imaging (WSI). Methods: This retrospective study (September 2015–July 2016) included 37 consecutive patients (all females; median age: 64 years, range, 41–82 years), each with a single invasive breast ductal carcinoma lesion with a mass appearance on preoperative MRI. DWI with b-values of 0, 50, 100, 300, 550, 850, and 1000 s/mm2 was performed. ADC maps were generated with b-values of 50 and 850 s/mm2. The IVIM-DK model was analysed using the following formula: Sb=S0fe−bD∗+1−fe−bD+1/6kbD2 where S is the signal intensity, b is the b-value, f is the perfusion fraction, D* is the pseudo-diffusion coefficient of the vascular component, D is the diffusion coefficient of the non-vascular component, and k is the diffusion kurtosis. Whole tumour segmentation was performed to obtain the mean ADC, f, D*, D, and k. Quantitative histological parameters were obtained using cytokeratin immunostaining and WSI. The correlation of ADC and IVIM-DK model parameters with quantitative histological parameters was examined by Pearson's correlation. Results: The ADC was significantly correlated with the area ratio of interstitium (r = 0.53, p = 0.00082) and entropy (r = −0.58, p = 0.00019). k was significantly correlated with the area ratio of cancer cell nuclei (r = 0.53, p = 0.00079). Conclusions: Since the ADC reflected the area ratio of interstitium and entropy, and diffusion kurtosis reflected the area ratio of cancer cell nuclei, these parameters may be effective in distinguishing between benign and malignant breast tumours and in grading breast cancer.

AB - Objectives: To evaluate the correlation of ADC and IVIM-diffusion kurtosis (DK) model parameters with quantitative histological parameters of whole-slide imaging (WSI). Methods: This retrospective study (September 2015–July 2016) included 37 consecutive patients (all females; median age: 64 years, range, 41–82 years), each with a single invasive breast ductal carcinoma lesion with a mass appearance on preoperative MRI. DWI with b-values of 0, 50, 100, 300, 550, 850, and 1000 s/mm2 was performed. ADC maps were generated with b-values of 50 and 850 s/mm2. The IVIM-DK model was analysed using the following formula: Sb=S0fe−bD∗+1−fe−bD+1/6kbD2 where S is the signal intensity, b is the b-value, f is the perfusion fraction, D* is the pseudo-diffusion coefficient of the vascular component, D is the diffusion coefficient of the non-vascular component, and k is the diffusion kurtosis. Whole tumour segmentation was performed to obtain the mean ADC, f, D*, D, and k. Quantitative histological parameters were obtained using cytokeratin immunostaining and WSI. The correlation of ADC and IVIM-DK model parameters with quantitative histological parameters was examined by Pearson's correlation. Results: The ADC was significantly correlated with the area ratio of interstitium (r = 0.53, p = 0.00082) and entropy (r = −0.58, p = 0.00019). k was significantly correlated with the area ratio of cancer cell nuclei (r = 0.53, p = 0.00079). Conclusions: Since the ADC reflected the area ratio of interstitium and entropy, and diffusion kurtosis reflected the area ratio of cancer cell nuclei, these parameters may be effective in distinguishing between benign and malignant breast tumours and in grading breast cancer.

KW - Breast cancer

KW - Diffusion kurtosis imaging

KW - Diffusion weighted imaging

KW - Histology

KW - Magnetic resonance imaging

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U2 - 10.1016/j.mri.2022.04.003

DO - 10.1016/j.mri.2022.04.003

M3 - Article

C2 - 35439547

AN - SCOPUS:85129313937

SN - 0730-725X

VL - 90

SP - 53

EP - 60

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

ER -