Clinical hemorheology and microcirculation最新文献

Hereditary hemorrhagic telangiectasis (HHT) is an autosomal dominant hereditary disease, which can lead to abnormal angiogenesis. We performed contrast-enhanced ultrasound (CEUS) in a patient with HHT represented with hemothorax. After targeted embolization, the condition of hemothorax improved. In this case, we explore the use of CEUS to locate the responsible vessel of hemothorax, and found that CEUS could be used as a complementary preoperative method of localization with computed tomography angiography (CTA).

Objectives: The goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis.

Methods: Patients with breast cancer were included in this retrospective, monocentric, observational study. Their preoperative ultrasound features, clinical data, laboratory results and postoperative pathologic results and immunophenotyping were collected. The association of these factors of breast cancer with axillary lymph node metastasis was evaluated by univariate and multivariate analysis.

Results: In this study, 471 patients diagnosed with breast cancer at the First Affiliated Hospital of Xi'an Jiaotong University between July 2016 and September 2019 were collected, with a total of 471 nodules, of which 231(49.0%) had axillary lymph node metastasis, and 240(51.0%) did not. The parameters of hyperechoic halo, posterior acoustic decrease, microcalcification, carcinogenic embryonic antigen (CEA), cancer antigen-153 (CA153), CK5/6 (+), Ki67 (≥40%), AR (+) and histological grade (grade II and grade III) were significantly and independently associated with axillary lymph node metastasis (p < 0.05 for all).

Conclusions: The combination of ultrasound features, tumor markers, pathology, and immunohistochemistry can predict axillary lymph node metastasis in breast cancer patients.

Background: Reconstructive surgery is established as a standard treatment option after mastectomy due to cancer. It is crucial to patients to achieve a natural and symmetric looking breast through reconstruction. Anthropometric measurements are used to assess the objective symmetry of the breast, which are prone to errors and difficult to reproduce.

Objective: The aim of this work is to validate breast volumetry using three-dimensional surface imaging.

Methods: We compared preoperatively analog and digitally evaluated volume of the breast with our gold standard, direct water displacement measurement of the mastectomy specimen. We examined 34 breast specimens in total.

Results: Each measurement method (Breast Sculptor, VAM, Breast-V) for breast volume/mass determination demonstrates acceptable agreement ranges when compared with resected volumes and masses. The strongest volumetry instrument is Breast Sculptor (digital), the weakest is Breast-V (analog).

Conclusions: 3D surface imaging is a quick, effective, and convenient method to evaluate breast shape and volume. The accuracy, reproducibility, and reliability of 3D surface imaging were comparable with MRI in our study.This takes us a step closer to the long-term goal of establishing robust instruments to plan breast reconstructive surgery, achieve better surgical results, and contribute to quality assurance in breast surgery.

Objectives: To present a method combining ultrasound (US) and contrast-enhanced ultrasound (CEUS) features for differential diagnosis of cervical tuberculous lymphadenitis (CTL) and primary lymphoma.

Methods: A total of 155 patients with CTL (n = 49) and lymphoma (n = 106) who underwent US and CEUS were retrospectively included. The features extracted from US and CEUS and the significant clinical data were created three models using the least absolute shrinkage and selection operator and logistic regression analysis. The diagnostic performance of the models was assessed using the area under the curve (AUC).

Results: The combined model outperformed US model and CEUS model in distinguish CTL from lymphoma achieved favorable performances in training set and validation set with AUCs of 0.958 and 0.946 as well as high accuracies (91.7% and 87.2%), sensitivities (95.9% and 84.4%) and specificities (82.4% and 93.3%). Delong's test showed that among the three models, combined model was significantly different from the other two models in training set (p = 0.011 and 0.029, respectively) and validation set (p = 0.018 and 0.001, respectively).

Conclusions: A combination of US and CEUS achieved good diagnostic performance in differentiating lymphoma and CTL, which might aid in clinical decision-making.

Background: The sidestream dark-field imaging method is used to study microcirculation. Normal values of sublingual microcirculation parameters in healthy children of different age and gender categories are unknown.

Objective: The study's main goal was to determine normal values of selected parameters of sublingual microcirculation in healthy children of different age and gender categories.

Methods: 40 healthy children were measured, ten aged 3-5.9 years, ten aged 6-10.9 years, ten aged 11-14.9 years, and ten aged 15-18.9 years. After recording the basic anthropometric parameters and vital functions, each volunteer had their microcirculation measured using an SDF probe placed sublingually. Three video clips were recorded and processed offline, and the three best and most stable parts of each were analyzed.

Results: Total vascular density, small vessel density, proportion of perfused small vessels, perfused vessel density, perfused small vessel density, and DeBacker's score were significantly higher in females than in males. There were no differences between age groups in microcirculation parameters except MFI.

Conclusions: Age does not influence normal values of microcirculatory parameters. Female gender was associated with higher vessel density, perfused vessel density, and DeBacker's score. A suggestion of the normal range of microcirculatory parameters in healthy children is provided.

Objectives: To explore the feasibility of contrast-enhanced ultrasound (CEUS) as a new tool for characterizing vascularization of primary peripheral lung cancer.

Methods: 315 consecutive patients with definite primary peripheral lung cancers underwent CEUS examination from November 2016 to March 2022. CEUS parameters including time to enhancement (TE), time to peak (TP), time to wash-out (TW), distribution of vessels (DV), extent of enhancement (EE) and homogeneity of enhancement (HE) were obtained.

Results: The lesions were grouped on the basis of TE which reflects tumor vascularization: early enhancement (pulmonary arterial vascularization) (n = 91) and delayed enhancement group (bronchial arterial vascularization) (n = 224). Overall, lung tumors commonly (71.1%) manifested a delayed enhancement which indicating blood supply originated from bronchial arteries, while an early enhancement was present in less than a third of the cases. Tumors with bronchial vascularization tended to show a delayed, reduced and heterogeneous enhancement. Correspondingly, it is characterized by a shorter TE, marked EE and a relatively infrequent occurrence of necrosis in tumors with pulmonary vascularization.

Conclusions: Providing micro-perfusion information, CEUS is a potentially imaging tool for evaluating blood supply in primary peripheral lung cancer.

Objective: To investigate the clinical value of platelet and inflammatory factor activation in vascular endothelial injury in hypertension.

Methods: A total of 120 hypertension patients diagnosed in our hospital from December 2019 to June 2021 were enrolled as study objects (Hypertension group); besides, another cohort of 60 healthy people undergoing physical examination at the same period were recruited as the controls (Control group). Next, the baseline clinical characteristics of subjects in the two groups were recorded and compared. Specifically, a hematology analyzer was adopt for detecting the mean platelet volume (MPV), platelet distribution width (PDW) and platelet hematocrit (PCT); ELISA for the level of IL-6, IL-8 and TNF-α; PHILIPS EPIQ 7 C (a device assessing endothelial vasodilator function in a non-invasive fashion) for reactive hyperemia index (RHI); univariate and multivariate regression analysis for risk factors triggering endothelial dysfunction; and Spearman correlation analysis for the correlation of platelet activation indicators and inflammatory factor level with vascular endothelial function.

Results: Compared with the Control group, the patients in the Hypertension group exhibited higher levels of MPV, PDW, PCT, inflammatory factors (IL-6, IL-8 and TNF-α) and lower RHI. Moreover, Spearman correlation analysis showed a significant negative correlation of MPV, PDW, PCT, IL-6, IL-8 and TNF-α level with RHI level. In addition, univariate and multivariate regression analysis presented that MPV, PCT, IL-8 and TNF-α were risk factors for vascular endothelial dysfunction.

Conclusion: The activation of platelet and inflammatory factor is closely related to vascular endothelial function injury in patients with hypertension. To be specifically, platelet and inflammatory factor activation can effectively reflect the vascular endothelial function injury in patients with hypertension and has high clinical value.

Objective: Since the first use of silicone implants by Cronin in 1962, there have been several attempts to introduce alternative filling materials for breast implants on the market. A promising new development are lightweight implants, whose filler material is one third lighter than conventional silicone gel. While these implants have been used primarily for aesthetic augmentation, a benefit could be expected particularly in post-mastectomy reconstruction.

Materials and methods: Since 2019, 92 operations using lightweight implants have been performed at our clinic, 61 of them for breast reconstruction after mastectomy. These have been compared to 92 breast reconstructions using conventional silicone implants.

Results: The average volume of the lightweight implants was 30% higher than of the conventional implants (452 ml resp. 347 ml), whereas the implant weight was comparable in both groups (317 g resp. 347 g). Grade 3-4 capsular fibrosis was seen in 6 cases in both groups; revision was required 9 times (lightweight implants) and 7 times (conventional silicone implants) during the follow-up period.

Discussion: To our knowledge, this is the first study to investigate the use of lightweight implants in breast reconstruction. With exception of the filler material, the implants used in the two groups were comparable in shape and surface. The inserted lightweight implants had a greater volume but nearly the same weight as the conventional implants and were used in patients with a higher body mass index. Thus, lightweight implants were preferred in patients whose reconstruction required a larger implant volume.

Conclusion: Lightweight implants are a new alternative for breast reconstruction especially in case that larger implant volume is demanded. The increased complication rate has to be verified in further studies.

Objectives: The purpose of our study is to present a method combining radiomics with deep learning and clinical data for improved differential diagnosis of sclerosing adenosis (SA)and breast cancer (BC).

Methods: A total of 97 patients with SA and 100 patients with BC were included in this study. The best model for classification was selected from among four different convolutional neural network (CNN) models, including Vgg16, Resnet18, Resnet50, and Desenet121. The intra-/inter-class correlation coefficient and least absolute shrinkage and selection operator method were used for radiomics feature selection. The clinical features selected were patient age and nodule size. The overall accuracy, sensitivity, specificity, Youden index, positive predictive value, negative predictive value, and area under curve (AUC) value were calculated for comparison of diagnostic efficacy.

Results: All the CNN models combined with radiomics and clinical data were significantly superior to CNN models only. The Desenet121+radiomics+clinical data model showed the best classification performance with an accuracy of 86.80%, sensitivity of 87.60%, specificity of 86.20% and AUC of 0.915, which was better than that of the CNN model only, which had an accuracy of 85.23%, sensitivity of 85.48%, specificity of 85.02%, and AUC of 0.870. In comparison, the diagnostic accuracy, sensitivity, specificity, and AUC value for breast radiologists were 72.08%, 100%, 43.30%, and 0.716, respectively.

Conclusions: A combination of the CNN-radiomics model and clinical data could be a helpful auxiliary diagnostic tool for distinguishing between SA and BC.