Acute kidney injury (AKI) is one of the most common complications in critically ill patients, and sepsis is the main cause of AKI in the intensive care unit (ICU), which can lead to a poor prognosis in severe cases. For patients with sepsis-associated acute kidney injury (SA-AKI) for whom urgent dialysis is indicated, it is now clear that renal replacement therapy (RRT) can be initiated immediately to control disease progression. However, the optimal timing to initiate RRT in patients whose disease is not severe enough to warrant urgent dialysis remains controversial. Some previous studies were small and heterogeneous, and there was a lack of effective reference indicators for guiding RRT in SA-AKI patients. Therefore, this article reviews the relevant experimental studies on the treatment of critically ill patients with AKI in recent years, and reviews the latest research progress on the optimal timing of RRT initiation, in order to provide an effective reference for clinical practice.
Humans ; Acute Kidney Injury/etiology* ; Renal Replacement Therapy/methods* ; Sepsis/therapy* ; Time Factors ; Intensive Care Units

Radiotherapy still fails to achieve satisfactory efficacy in the treatment of malignant tumors, and applying radiotherapy sensitizers is an effective method to improve the efficacy of radiotherapy. Gold nanomaterials can effectively increase the sensitivity of tumor cells to radiotherapy due to their high atomic numbers. Gold nanoclusters have more excellent radiobiological and radiophysical properties due to their smaller size. This paper reviews the special radiobiological and radiophysical properties of gold nanoclusters and describes in detail their sensitizing effects in external radiation radiotherapy, radionuclide therapy, and X-ray induced photodynamic therapy.

Objective To describe the radiological features of mastitis.Methods Imaging findings were retrospectively reviewed in 58 women with mastitis,which was confirmed by pathological results.The imaging features were described according to the BI-RADS (breast imaging reporting and data system).All 58 patients had preoperative MRI,while 49 of them were examined with sonograms and 30 with mammograms preoperatively.Results Overall,no remarkable findings were reported on 6 mammography and 2 sonography examinations,but all 58 lesions were identified on MRI in our study.Asymmetrical density (n =16,53.3％) on mammograms and solitary or multiple separated/contiguous hypoechoic mass-like lesions (n =34,69.4％) on ultrasound were the most common signs of mastitis.On enhanced MR images,82.8 ％ (48/58) patients showed non-mass-like enhanced lesions.Multiple,regional enhancement (66.7％,32/48) and separated or contiguous,clumped,rim-like enhancement (63.1％,31/48) were the most common manifestations in non-mass-like enhanced lesions.Of the 58 patients,type Ⅰ and type Ⅱ timesignal intensity curve were detected in 48.3％ and 50.0％ of the patients,respectively.BI-RADS 0 had the highest frequency in reports on mammography (33.3％,10/30),while category 4a was most frequent on sonography (36.7％,18/49) and also on MRI (56.9％,33/58).Conclusion The imaging findings from mammography and US are non-specific for mastitis,therefore,MR can be helpful in the diagnosis,especially in the presence of non-mass-like enhancement that are multiple,regional,separated,or contiguous,clumped,and tim-like.

ObjectiveTo study the MR Imaging features of breast phyllodes tumor (PT),and to correlate it with pathological results.MethodClinical and MRI findings were retrospectively reviewed in twenty-seven women with 28 PTs lesions confirmed by surgical pathology.Statistical analyses were one-way ANOVA for size analysis,Fisher exact test for analysis of MR appearances and Spearman correlation to study the relationship between MRI findings and BI-RADS categories.Results( 1 ) The histologic findings were benign,borderline and malignant PTs in 14.3％ (4/28),53.6％ (15/28) and 32.1％ (9/28) of lesions,respectively.(2) The mean maximum-diameter were (6.4 ± 3.9) cm,(5.7 ± 2.2) cm in borderline type and (4.8 ± 1.8)cm in benign type respectively.The results showed differences in lesion's size among the three type (F = 287.541,P =0.000),especially between malignant and benign type (P = 0.033 ).(3)Internal non-enhanced septations and silt-like changes on enhanced images,as well as time-signal curve on MRI correlated significantly with the histological grade ( P ＜ 0.05 ).( 4 ) If the category BI-RADS ≥ 4a was considered to be a suspicious sign for malignant lesion,the diagnostic accuracy of MRI would be 96.4％ (27/28),and the BI-RADS category of the MRI could reflect the PT's histological grade with a low correlation coefficient ( r = 0.382,P = 0.045 ).Conclusion The findings of PT on MRI have some characteristics,with tumor size and several MRI features correlating with the histological grade of breast PT.

Objective To evaluate the value of quantitative 3T dynamic contrast enhanced MRI in the diagnosis of breast lesions. Methods One-hundred and eighteen patients suspected of breast lesions underwent MRI examination. A 3.0 T MR scanner was used to obtain the quantitative MR pharmacokinetic parameters: Ktrans( volume transfer constant), Kep (exchange rate constant) and Ve (extravascular extracellular volume fraction). The mean Ktrans, Kep and Ve of malignant, benign and normal glandular tissues were calculated and compared each other using LSD method. Independent sample t test was used between invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included). Finally, the areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were compared. Results The mean Ktrans, Kep and Ve of malignant lesions (n=87) were (1.010±0.580) min-1, (1.634 ± 1.481) min-1 and (0.735 ±0.273); the mean Ktrans, Kep and Ve of benign lesions (n=23) were (0.331±0.192) min - 1, (0.417±0.324) min - 1 and (0.847±0.291); and the mean Ktrans, Kep and Ve of normal glandular tissues (n =83) were (0.051 ±0.028) min-1, (0.133±0.125) min-1 and (0.597±0.354), respectively. There were significant differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions, benign and malignant lesions in Ktrans (t=9.681, 11.189, 5. 590, respectively, P ＜ 0. 01 ), normal glandular tissues and malignant lesions, benign and malignant lesions in Kep(t =5. 287, 3. 874, P＜0. 05). There were a statistic differences between normal glandular tissues and benign lesions, normal glandular tissues and malignant lesions in Ve(t =2. 932, 2. 562 ,P ＜0. 05). There were no significant differences between normal glandular tissues and benign lesions in Kep, benign and malignant lesions in Ve ( t = 0. 760, 0. 832, P ＞ 0.05 ),invasive ductal carcinoma and ductal carcinoma in situ (microinvasion included) in Ktrans, Kep and Ve(t =0.834,0.075,0.454,P＞0.05). The areas under the ROC curve (AUC) of Ktrans, Kep and Ve between malignant and benign lesions were 0. 934, 0. 941 and 0. 659. The sensitivity of Ktrans, Kep and Ve were 77.01% ,91.95% ,56. 32% and the specificity of Ktrans, Kep and Ve were 95. 65%, 86. 96%, 78.26% for the differential diagnosis of breast lesions if taken the maximum Youden's index as cut-off. Conclusion The differential diagnosis of benign and malignant breast lesions by Ktrans, Kep is applicable.

Objective To evaluate the diagnostic values of the breast imaging reporting and data system-MRI (BI-RADS-MRI)description about non-masslike enhancement by data mining. Methods Fifty-five patients with non-masslike enhancement lesions showed on breast contrast-enhanced MRI were evaluated using two data mining algorithms (Logistic regression and decision tree) and 10-fold cross-validation methods. Results There were 28 malignant and 27 benign lesions. The most frequent findings of the malignant lesions were clustered ring enhancement and clumped enhancement [ 12 and 4 lesions, respectively; 84. 2% (16/19) in decision trees, partial regression coefficients in Logistic model were 2. 128 and 1.723, respectively], whereas homogenous, stippled, reticular internal and linear ductal enhancement were the most frequent findings in benign lesions [ 4、9、1 and 7 lesions, respectively; 72. 4% (21/29) in decision tree, partial regression coefficients in Logistic model were 0.357 (homogenous), 1. 861 (stippled) and 18. 870( reticular), respectively]. 10-fold cross-validation indicated that decision tree (C5.0) achieved an accuracy of 69.3% with a sensitivity of 66.7% and a specificity of 71.7% in comparison to the Logistic regression model with an accuracy of 57. 0%, a sensitivity of 43.3% and a specificity of 71.7%. Conclusions The diagnosis efficacy of non-masslike enhancement interpretation according to BI-RADS-MRI is not high. It is very important to find more potential features of non-masslike enhancement to improve the diagnosis accuracy.