Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging

2018 ◽  
Vol 29 (3) ◽  
pp. 1425-1434 ◽  
Author(s):  
Shiteng Suo ◽  
Dandan Zhang ◽  
Fang Cheng ◽  
Mengqiu Cao ◽  
Jia Hua ◽  
...  
Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011991
Author(s):  
Anke Wouters ◽  
Lauranne Scheldeman ◽  
Sam Plessers ◽  
Ronald Peeters ◽  
Sarah Cappelle ◽  
...  

ObjectiveTo test the prognostic value of brain MRI in addition to clinical and electrophysiological variables in post-cardiac arrest (CA) patients, we explored data from the randomized Neuroprotect post-CA trial (NCT02541591).MethodsIn this trial brain MRI’s were prospectively obtained. We calculated receiver operating characteristic curves for the average Apparent Diffusion Coefficient (ADC) value and percentage of brain voxels with an ADC value < 650 x 10-6 mm2/s and < 450 x 10-6 mm2/s. We constructed multivariable logistic regression models with clinical characteristics, electroencephalogram (EEG), somatosensory evoked potentials (SSEP) and ADC value as independent variables, to predict good neurological recovery.ResultsIn 79/102 patients MRI data were available and in 58/79 patients all other data were available. At 180 days post-CA, 25/58 (43%) patients had good neurological recovery. In univariable analysis of all tested MRI parameters, average ADC value in the postcentral cortex had the highest accuracy to predict good neurological recovery with an AUC of 0.78. In the most optimal multivariate model which also included corneal reflexes and EEG, this parameter remained an independent predictor of good neurological recovery (AUC = 0.96, false positive = 27%). This model provided a more accurate prediction compared to the most optimal combination of EEG, corneal reflexes and SSEP (p=0.03).ConclusionAdding information on brain MRI in a multivariate model may improve the prediction of good neurological recovery in post-CA patients.Classification of Evidence:"This study provides Class III evidence that MRI ADC features predict neurological recovery in post-cardiac arrest patients."


2013 ◽  
Vol 12 (3) ◽  
pp. 193-199 ◽  
Author(s):  
Takeshi KAMITANI ◽  
Yoshio MATSUO ◽  
Hidetake YABUUCHI ◽  
Nobuhiro FUJITA ◽  
Michinobu NAGAO ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 153303381984294 ◽  
Author(s):  
Genji Bai ◽  
Yating Wang ◽  
Yan Zhu ◽  
Lili Guo

Objective: To determine whether change in apparent diffusion coefficient value could predict early response to chemotherapy in breast cancer liver metastases. Materials and Methods: We retrospectively studied 42 patients (86 lesions) with breast cancer liver metastases who had undergone conventional magnetic resonance imaging and diffusion-weighted imaging (b = 0.700 s/mm2) before and after chemotherapy. Maximum diameter and mean apparent diffusion coefficient value (×10−3 mm2/s) of liver metastases from breast cancer were evaluated. The grouping reference was based on magnetic resonance imaging according to Response Evaluation Criteria in Solid Tumors (RECIST). Analysis of variance and receiver–operating characteristic analyses were performed. Results: Eighty-six metastases were classified as 40 responders and 46 nonresponders. A statistically significant correlation was found between prechemotherapy and postchemotherapy apparent diffusion coefficient values in responders, which were 0.9 ± 0.16 × 10−3 mm2/s, 1.05 ± 0.12 × 10−3 mm2/s, 1.26 ± 0.12 × 10−3 mm2/s, and 1.33 ± 0.87 × 10−3 mm2/s, respectively. No statistically significant difference was found between prechemotherapy and postchemotherapy apparent diffusion coefficient values in nonresponders. Differences were statistically significant between responders and nonresponders at prechemotherapy, 2 weeks after chemotherapy, and 4 weeks after chemotherapy ( P = 0.014, P = .001, and P = .000, respectively). Receiver operating characteristic curves showed that apparent diffusion coefficient values could predict treatment response early at 2 weeks after chemotherapy with 64.5% sensitivity and 91.8% specificity. Conclusion: The change in apparent diffusion coefficient value may be a sensitive indicator to predict early response to chemotherapy in breast cancer liver metastases.


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