Apparent diffusion coefficient and intravoxel incoherent motion-diffusion kurtosis model parameters in invasive breast cancer: Correlation with the histological parameters of whole-slide imaging

Mori, Nobuhiro; Inoue, Chihiro; Tamura, H.; Nagasaka, Tatsuo; Ren, Hainan; Sato, Satoko; Mori, Yu; Miyashita, Minoru; Mugikura, Shunji; Takase, Kei

doi:10.1016/j.mri.2022.04.003

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…Additionally, as an important index for evaluating tumor malignancy and grading, ADC values play a significant role in predicting the histological grade of invasive breast cancer [ 27 ]. In our study, the ADC values of grade III invasive breast cancer were lower than those of grades I and II, which aligns with the findings of Mori and others [ 28 ]. This observation may be due to the fact that higher-grade invasive breast cancers exhibit greater nuclear pleomorphism and higher mitotic counts, lack glandular and tubular structures, and have a denser internal arrangement.…”

Section: Discussionsupporting

confidence: 93%

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study

Wang,

Dou,

Wang

et al. 2024

Heliyon

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Section: Discussionsupporting

confidence: 93%

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study

Wang,

Dou,

Wang

et al. 2024

Heliyon

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“…ADC is an indicator of water molecule movement in the tissue, which can reflect the density of tumor cell arrangement, cell matrix, and cell membrane integrity. When the tumor cell density is high, the movement of water molecules is restricted, which is manifested by a decrease in the ADC ( 9 , 10 ). The lower the ADC, the higher the tumor cell density in breast cancer patients, and the more likely they are to have lymph node metastasis, postoperative recurrence, or metastasis ( 11 , 12 ).…”

Section: Discussionmentioning

confidence: 99%

The comparison between young and old patients and the prognostic roles of magnetic resonance imaging-related parameter characteristics in young patients—a retrospective cohort study

Hu¹,

Jiang²,

Wang³

2023

Gland Surg

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Background: Breast dynamic enhanced magnetic resonance imaging (MRI) is an important in the diagnosis and treatment of breast cancer. However, it is unclear whether the characteristics of breast dynamic enhancement MRI-related parameters in young breast cancer patients are specific. The present study was to study the dynamic enhancement of MRI-related parameter characteristics and its correlation with clinical features in young breast cancer patients.Methods: A total of 196 breast cancer patients admitted to the People's Hospital of Zhaoyuan City from January 2017 to December 2017 were retrospectively collected, and the patients were divided into a young breast cancer group (n=56) and a control group (n=140) according to whether the patient age limit of <40 years old. All patients underwent breast dynamic enhanced MRI and were followed up for 5 years to observe whether there was recurrence or metastasis. We compared the differences of breast dynamic enhanced MRI-related parameters between the 2 groups, and then analyzed the correlation between breast dynamic enhancement MRI-related parameters and clinical features in young breast cancer patients.Results: Compared with the control group, the apparent diffusion coefficient (ADC) of the young breast cancer group was significantly reduced (0.84±0.13 vs. 0.93±0.14 ×10 −3 mm 2 /s, P<0.001); the proportion of patients with non-mass enhancement was significantly increased in the young breast cancer group (25.00% vs. 8.57%, P=0.002). The ADC was significantly positively correlated with age (r=0.226, P=0.001) and negatively correlated with the maximum diameter of the tumor (r=−0.199, P=0.005). The ADC was shown to be valuable in predicting the absence of lymph node metastasis in the young breast cancer patients, and the area under the curve (AUC) was 0.817 [95% confidence interval (CI): 0.702-0.932, P<0.001]. The ADC was shown to be valuable in predicting the absence of recurrence or metastasis in the young breast cancer patients, and the AUC was 0.784 (95% CI: 0.630-0.937, P=0.007). The rates of lymph node metastasis and recurrence at 5 years were significantly increased in young breast cancer patients with non-mass enhancement (P<0.05). Conclusions:The present study provides a reference for further evaluation of the characteristics of young breast cancer patients.

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“…In a recent study using a virtual pathology technology to quantify the “area ratio” of the histological component to the entire tumor on pathology, K correlated with the “area ratio” of “cancer cell nuclei ( r = 0.53, p = 0.00079)” among invasive ductal carcinoma masses, suggesting the utility of K in classification and grading breast tumors. 21 …”

Section: Clinical Applicationsmentioning

confidence: 99%

Diffusion kurtosis imaging as a biomarker of breast cancer

et al. 2023

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Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-Gaussian signal behavior using a relatively simple mathematical model. A parameter, kurtosis K, describes the deviation of the diffusion signal decay from a gaussian pattern. The deviation reflects the complexity of the tissue microstructure affecting water diffusion. Several studies have investigated the diagnostic performance of DKI in distinguishing malignant from benign breast lesions. DKI has been reported to correlate with subtypes and with several molecular and other factors related to the treatment and prognosis of breast cancer. Some technical considerations remain to be resolved for the clinical application of DKI in the breast. Advances in knowledge: DKI, which increases the sensitivity to complex tissue microstructure compared to standard DWI, has been applied in the breast, allowing to increase clinical performance in distinguishing malignant from benign lesions and in predicting prognosis or treatment response in breast cancer.

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Apparent diffusion coefficient and intravoxel incoherent motion-diffusion kurtosis model parameters in invasive breast cancer: Correlation with the histological parameters of whole-slide imaging

Cited by 8 publications

References 42 publications

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study

The comparison between young and old patients and the prognostic roles of magnetic resonance imaging-related parameter characteristics in young patients—a retrospective cohort study

Diffusion kurtosis imaging as a biomarker of breast cancer

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