Article ; Online: Three-compartment spectral diffusion analysis for breast cancer magnetic resonance imaging.
2023 Volume 103, Page(s) 179–184
Abstract: Rationale and objectives: To examine the diagnostic performance of a three-compartment diffusion model with the fixed cut-off diffusion coefficient (D) using magnetic resonance spectral diffusion analysis for differentiating between invasive ductal ... ...
| Abstract | Rationale and objectives: To examine the diagnostic performance of a three-compartment diffusion model with the fixed cut-off diffusion coefficient (D) using magnetic resonance spectral diffusion analysis for differentiating between invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS) and compare the conventional apparent D (ADC), and mean kurtosis (MK), with the tissue D (D Patients and methods: This retrospective study included women who underwent breast MRI with eight b-value diffusion-weighted imaging between February 2019 and March 2022. Spectral diffusion analysis was performed; very-slow, cellular, and perfusion compartments were defined using cut-off Ds of 0.1 × 10 Results: Histologically confirmed 132 ICD and 62 DCIS (age range 31-87 [53 ± 11] years) were evaluated. The areas under the curve (AUCs) for ADC, MK, D Conclusion: Three-compartment model analysis using the diffusion spectrum accurately differentiated IDC from DCIS; however, it was not superior to ADC and D |
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| MeSH term(s) | Humans ; Female ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Breast Neoplasms/diagnostic imaging ; Breast Neoplasms/pathology ; Carcinoma, Intraductal, Noninfiltrating ; Retrospective Studies ; Magnetic Resonance Imaging ; Diffusion Magnetic Resonance Imaging/methods ; Motion | |||||
| Language | English | |||||
| Publishing date | 2023-05-11 | |||||
| Publishing country | Netherlands | |||||
| Document type | Journal Article ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 604885-7 | |||||
| ISSN | 1873-5894 ; 0730-725X | |||||
| ISSN (online) | 1873-5894 | |||||
| ISSN | 0730-725X | |||||
| DOI | 10.1016/j.mri.2023.04.006 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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