Actins ; metabolism ; Calcium-Binding Proteins ; metabolism ; Calmodulin-Binding Proteins ; metabolism ; Desmin ; metabolism ; Diagnosis, Differential ; Female ; Humans ; Hysterectomy ; Leiomyoma, Epithelioid ; metabolism ; pathology ; Leiomyomatosis ; metabolism ; pathology ; surgery ; Leiomyosarcoma ; pathology ; Microfilament Proteins ; metabolism ; Middle Aged ; Receptors, Estrogen ; metabolism ; Receptors, Progesterone ; metabolism ; Rhabdoid Tumor ; metabolism ; pathology ; surgery ; Sarcoma, Endometrial Stromal ; metabolism ; pathology ; Uterine Neoplasms ; metabolism ; pathology ; surgery ; Vascular Neoplasms ; metabolism ; pathology ; surgery ; Veins ; pathology ; Vimentin ; metabolism

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Objective To investigate the predictive value of metabolic tumor volume (MTV) in angiogenesis and hematoge‐nous metastasis of patients with colorectal cancer .Methods Totally 108 patients with colorectal cancer from January 2011 to De‐cember 2015 were enrolled into the study and divided into metastasis group (n=42) and non‐metastasis group (n=66) according to whether combining with hematogenous metastasis .All patients received 18 F‐2‐fluoro‐D‐glucose positron emission tomography/com‐puted tomography (18F‐FDG PET/CT) before operation ,then used the PET VERA software to automatically calculate MTV ac‐cording to the 40% of standard uptake value max(SUVmax ) as the threshold .The blood vessels were identified with CD34+ immu‐nohistochemical staining ,then measured the microvessel density (MVD) .The clinical pathologic data ,SUVmax ,MTV and MVD were compared between metastasis group and non‐metastasis group .The area under the receiver‐operating characteristic curve (AUC) was performed to evaluate the predictive value of MTV on hematogenous metastasis .Results SUVmax ,MTV and MVD in metastasis group were significantly higher than that in non‐metastasis group (P<0 .05) .There were significant differences in MTV and MVD among patients with different T stage (P<0 .05) .Pearson correlation analysis results showed that MTV was positively correlated with MVD (r=0 .636 ,P<0 .001) ,and there was no significant relationship between MTV and SUVmax (r= 0 .161 ,P=0 .096>0 .05) ,MVD and SUVmax (r=0 .179 ,P=0 .064>0 .05) .AUC of MTV was 0 .736 ,and the best threshold value was 15 .016 cm3 ,whose sensitivity ,specificity ,positive predictive value ,negative predictive value and Youden index were 83 .3% ,63 .6% , 59 .3% ,85 .7% and 47 .0% respectively .Conclusion Compared with SUVmax ,MTV of colorectal cancer is associated with angio‐genesis and hematogenous metastasis ,so as to predict the prognosis of colorectal cancer ,which is worthy of clinical application .

Objective:To evaluate the benefits and risks of advanced age patients with acute anterior circulation large vessel occlusive stroke (ALVOS) accepted mechanical thrombectomy (MT), and explore the related influencing factors for prognoses in these patients.Methods:Six hundred and eighty patients with acute anterior circulation ALVOS accepted MT in 3 comprehensive stroke centers from January 2014 to December 2020 were sequentially collected. (1) Patients were divided into advanced age group (≥80 years old) and non-advanced age group (<80 years old) according to age, and the differences between the two groups were compared in successful postoperative vascular recanalization rate, incidence of perioperative complications, and good prognosis rate (modified Rankin scale [mRS] scores≤2) and mortality 90 d after onset. (2) Patients were divided into good prognosis group (mRS scores≤2) and poor prognosis group (mRS scores>2) according to the prognoses 90 d after onset; univariate analysis and multivariate Logistic regression analysis were used to investigate the independent factors for prognoses of the patients after MT. (3) According to the prognoses 90 d after onset, the advanced age patients were divided into good prognosis subgroup (mRS scores≤2) and poor prognosis subgroup (mRS scores>2). Univariate analysis and multivariate Logistic regression analysis were used to investigate the independent factors for prognoses of the elderly patients after MT.Results:(1) In these 680 patients, 92 patients (13.5%) were into the advanced age group and 588 patients (86.5%) were in the non-advanced age group; patients in the advanced age group had significantly lower successful recanalization rate (67.4% vs. 77.9%), significantly lower good prognosis rate 90 d after onset (20.7% vs. 50.2%), and statically higher mortality 90 d after onset (40.2% vs. 21.1%) as compared with the non-advanced age group ( P<0.05); however, there was no significant difference between the two groups in the incidences of symptomatic intracranial hemorrhage (sICH, 15.6% vs. 10.6%) and malignant cerebral edema (MCE, 12.2% vs. 17.6%, P>0.05). The baseline data of the advanced age and non-advanced age patients were further matched with propensity score matching analysis (1:1) and statistically analyzed: the 91 elderly patients had significantly lower good prognosis rate 90 d after onset (20.9% vs. 36.3%) and MCE incidence (12.4% vs. 33.3%) than the 91 non-elderly patients ( P<0.05); there was no significant differences in successful vascular recanalization rate (67.0% vs. 71.4%), sICH incidence (15.7% vs. 17.6%) or mortality 90 d after onset (39.6% vs. 37.4%) between the two groups ( P>0.05). (2) Among the 680 patients, 314 (46.2%) had good prognosis and 366 (53.8%) had poor prognosis. As compared with the good prognosis group, the poor prognosis group had significantly higher proportion of patients at advanced age, significantly lower proportion of male patients, significantly higher proportion of patients with hypertension, diabetes or atrial fibrillation, significantly lower baseline Alberta Stroke early CT (ASPECT) scores, significantly higher baseline National Institutes of Health Stroke Scale (NIHSS) scores, statistically higher proportion of patients with cardiogenic embolism, significantly lower incidence of tandem lesions, significantly shorter time from onset to sheathing, statistically higher proportion of internal carotid artery occlusion, significantly lower proportion of patients with grading 2 collateral circulation, and significantly lower proportion of successful vascular recanalization ( P<0.05). Advanced age ( OR=3.144, 95%CI: 1.675-5.900, P<0.001) was an independent factor for prognoses 90 d after MT, in addition to baseline ASPECT scores, baseline NIHSS scores, diabetes mellitus, successful recanalization, and collateral circulation grading. (3) In the advanced age group, there were 19 patients (20.7%) with good prognosis and 73 patients (79.3%) with poor prognosis. As compared with the good prognosis subgroup, the poor prognosis subgroup had significantly lower proportion of male patients, significantly lower proportion of patients with grading 2 collateral circulation or complete recanalization, and significantly higher baseline NIHSS scores ( P<0.05). Baseline NIHSS score ( OR=1.482, 95%CI: 1.187-1.850, P=0.001) was an independent factor for prognoses 90 d after MT in advanced age patients. Conclusion:Although advanced age is an independent risk factor for prognoses of patients with acute anterior circulation ALVOS accepted MT, there are still some advanced age patients benefiting from MT without increased complications, especially for those with low baseline NIHSS scores.

Objective To develop and validate a radiomics predictive model based on mammogram for preoperative predicting triple-negative breast cancer (TNBC) or non-triple-negative breast cancer (NTNBC). Methods We retrospectively analyzed 459 Chinese women who were diagnosed with invasive breast cancer (confirmed by pathology) during August 2015 to November 2015. Our cohort included 34 TNBC and random selected 102 NTNBC cases. Regions of interest (ROIs) were manually selected from craniocaudal and mediolateral oblique mammograms by radiologists through manual lesion segmentation, and 43 radiomics features were evaluated. Craniocaudal (CC) single-view, mediolateral oblique (MLO) single-view and CC and MLO double-view classification model were constructed respectively. Classification performance was evaluated by the area under receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity. Kruskal-Walls U test and t test were used to compare the radiomics features between TNBC and UTNBC. Results The model that used the combination of both the CC and MLO view images achieved the overall best performance than using either of the two views alone, yielding an AUC of 0.791, accuracy of 0.798, sensitivity of 0.776 and specificity of 0.806 for TNBC comparing with NTNBC. Three features were selected by the model (gray scale span and inverse different moment for CC, roundness for MLO) showed a statistical significance (P<0.05) and AUC>0.6 in the subtype classification. Conclusion This research constructed model based on mammograms classification model can effectively distinguish between TNBC and NTNBC. This model has potential value for breast cancer molecular subtype classification and clinical treatment.

Adult ; Aged ; Altitude Sickness ; metabolism ; Bone Marrow ; metabolism ; Chronic Disease ; Humans ; Male ; Middle Aged ; Peptide Fragments ; metabolism