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Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer

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机构: [1]Division of Radiology, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu, Sichuan
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关键词: axillary lymph node metastases breast cancer Intravoxel incoherent motion magnetic resonance imaging T2-weighted imaging

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Background: Non-invasive modalities for assessing axillary lymph node (ALN) are needed in clinical practice. Purpose: To investigate the suspicious ALN on unenhanced T2-weighted (T2W) imaging and intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) for predicting ALN metastases (ALNM) in patients with T1–T2 stage breast cancer and clinically negative ALN. Material and Methods: Two radiologists identified the most suspicious ALN or the largest ALN in negative axilla by T2W imaging features, including short axis (Size-S), long axis (Size-L)/S ratio, fatty hilum, margin, and signal intensity on T2W imaging. The IVIM parameters of these selected ALNs were also obtained. The Mann–Whitney U test or t-test was used to compare the metastatic and non-metastatic ALN groups. Finally, logistic regression analysis with T2W imaging and IVIM features for predicting ALNM was conducted. Results: This study included 49 patients with metastatic ALNs and 50 patients with non-metastatic ALNs. Using the above conventional features on T2W imaging, the sensitivity and specificity in predicting ALNM were not high. Compared with non-metastatic ALNs, metastatic ALNs had lower pseudo-diffusion coefficient (D*) (P = 0.043). Logistic regression analysis showed that the most useful features for predicting ALNM were signal intensity and D*. The sensitivity and specificity predicting ALNM that satisfied abnormal signal intensity and lower D* were 73.5% and 84%, respectively. Conclusions: The abnormal signal intensity on T2W imaging and one IVIM feature (D*) were significantly associated with ALNM, with sensitivity of 73.5% and specificity of 84%. © The Foundation Acta Radiologica 2021.

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出版当年[2022]版:
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 核医学
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出版当年[2022]版:
Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Division of Radiology, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu, Sichuan
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通讯机构: [1]Division of Radiology, Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu, Sichuan [*1]Sichuan Cancer Hospital and Research Institute, #55 South Renmin Road, Chengdu, Sichuan 610041, PR China
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