基于超声影像组学的乳腺癌预测模型的诊断性能研究

目的评估并比较基于不同机器学习算法建立的乳腺癌超声影像组学预测模型的诊断性能。 方法回顾性收集2017年1月至2019年4月就诊皖南医学院第一附属医院、有明确病理结果的乳腺肿块病例828例，以2018年8月31日为节点将其分为训练集（526例）和验证集（302例），提取肿块的超声影像组学特征并进行特征筛选，运用k最近邻（kNN）、逻辑回归（LR）、朴素贝叶斯（NB）、随机森林（RF）和支持向量机（SVM）5种机器学习算法分别建立预测模型，使用重复交叉验证方法做内部验证，计算比较各模型的敏感度、特异度、阳性预测值（PPV）和阴性预测值（NPV），并实施外部验证，绘制ROC曲线并比较ROC曲线下面积（AUC）以评价模型的鉴别诊断性能，绘制校准曲线评价模型校准度。 结果从提取的109个影像组学特征中筛选出19个特征建立了5种机器学习算法模型。在内部验证中，5种模型的敏感度、特异度、PPV、NPV比较，总体差异均有统计学意义（P均＜0.001）。LR模型的特异度、PPV、NPV中位数分别为0.769、0.816、0.778，3项指标均高于其他4种模型；敏感度中位数为0.824，高于kNN、RF和SVM模型。此外，SVM模型的特异度、PPV、NPV中位数分别为0.706、0.774、0.759，虽均低于LR模型，但均高于其他3种模型。在外部验证中，LR、SVM、RF、kNN和NB的AUC依次为0.890、0.832、0.821、0.746和0.703，其中LR与SVM的AUC差异有统计学意义（P=0.012）；此外，各模型在校准性能上表现并不一致，LR和SVM模型的校准曲线显示乳腺癌实际概率与预测概率之间的一致性较好。 结论以超声影像组学特征为基础，运用不同机器学习算法建立的乳腺癌超声预测模型，均表现出较高的诊断性能，其中LR模型表现最为突出；选择合适的机器学习算法有助于进一步提高预测模型的诊断性能，提供更加准确的量化预测结果。     

胃癌患者心理痛苦的研究进展

综述心理痛苦的概念与内涵，胃癌患者的心理痛苦水平、评估工具、影响因素及干预措施。提出需构建胃癌患者心理痛苦模型，实施针对性的护理措施以减轻胃癌患者心理痛苦水平，提高生活质量。     

Comparison of accuracy of intraocular lens power calculation for eyes with an axial length greater than 29.0 mm

International Ophthalmology - To evaluate and compare the accuracy of six different formulas (Emmetropia Verifying Optical version 2.0, Kane, SRK/T, Barrett Universal II, Haigis and Olsen) in...     

Effects of Angiotensin II Receptor Blockers on Ventricular Hypertrophy in Hypertrophic Cardiomyopathy: A Meta-Analysis of Randomized Controlled Trials

Cardiovascular Drugs and Therapy - Animal studies have suggested that angiotensin II receptor blockers (ARBs) can attenuate or reverse the progression of hypertrophic cardiomyopathy, while clinical...     

Proteomics analysis of lysine crotonylation and 2-hydroxyisobutyrylation reveals significant features of systemic lupus erythematosus

Introduction/objectives

To seek significant features of systemic lupus erythematosus (SLE) by utilizing bioinformatics analysis.

Method

Liquid chromatography-tandem mass spectrometry (LC–MS/MS) was used to quantify lysine crotonylation (Kcr) and lysine 2-hydroxyisobutyrylation (Khib) in peripheral blood mononuclear cells (PBMCs) of systemic lupus erythematosus (SLE) patients and normal controls.

Results

Seventy-six differentially modified proteins (DMPs) dually modified by Kcr and Khib were identified between SLE patients and healthy people. GO enrichment analysis prompted significant enrichment of seventy-six DMPs in MHC class II protein complex binding and leukocyte migration. KEGG pathways were enriched in antigen processing and presentation pathway and leukocyte transendothelial migration pathway. Six DMPs (CLTC, HSPA1B, HSPA8, HSP90AB1, HSPD1, and PDIA3) were identified in antigen processing and presentation pathway, of which HSPA8 was the core protein. Significant changes of Kcr and Khib in HSPA8 may increase ATP hydrolysis and promote antigen binding to MHC II molecule. In leukocyte transendothelial migration pathway, 7 DMPs (ACTN1, ACTN4, EZR, MSN, RAC1, RHOA, and VCL) were identified. MSN was the protein with the most modification sites in this pathway. In amino terminal ferm region of MSN, Kcr and Khib expression change may lead to the adhesion between leukocytes and endothelial cells, which was an important step of leukocyte migration.

Conclusion

Kcr and Khib may promote the antigen presentation and jointly regulate the tissue damage mediated by leukocyte migration in SLE patients, which may play key roles in the pathogenesis of SLE probably.

The China birth cohort study (CBCS)

European Journal of Epidemiology - The China birth cohort study (CBCS) is a prospective longitudinal, mega-cohort study and the first national-based birth cohort study, aiming to establish a birth...     

经皮对比增强超声在乳腺癌前哨淋巴结术前定位及转移风险评估中的临床应用价值

目的探讨经皮注射对比增强超声(CEUS)在乳腺癌前哨淋巴结(SLN)术前定位及转移风险评估中的临床应用价值。 方法根据纳入及排除标准，选择2019年5～9月在江苏大学附属人民医院乳腺外科行手术治疗的21例女性乳腺癌患者进行前瞻性研究。术前根据经皮CEUS示踪结果，在皮肤表面标记SLN位置及数目，根据其增强模式评估SLN转移风险，并在术中联合亚甲蓝共同确认SLN的位置及数目。以亚甲蓝染色的病理检查结果为金标准，计算经皮CEUS预测SLN状态的敏感度、特异度、阳性预测值、阴性预测值及准确率。用Kappa一致性检验分析CEUS与SLN常规病理检查结果的一致性及2名超声科医师对SLN增强模式判读的一致性。用Fisher精确概率法分析不同临床病理特征患者CEUS评估SLN结果的差异。 结果21例患者中，经皮CEUS共检出32枚SLN，亚甲蓝染色共检出71枚。经皮CEUS体表定位的SLN均为术中亚甲蓝染色的SLN,患者经皮CEUS检出(1.6±0.9)枚SLN,低于亚甲蓝染色检出的(3.4±1.4)枚(t＝5.017, P<0.001)。CEUS预测SLN转移风险：判定有SLN转移患者9例(病理证实SLN有转移7例，无转移2例)，判定无转移患者12例(病理证实SLN无转移11例，有转移1例)。CEUS评估SLN状态的敏感度7/8，特异度11/13，阳性预测值7/9，阴性预测值11/12，准确率85.7%(18/21)。CEUS与病理诊断结果具有较高一致性(Kappa ＝0.704，P＝0.001)。2名超声科医师对CEUS中32枚SLN增强模式的判读结果一致性较好(Kappa＝0.829，P<0.001)。不同组织学分级的患者，其CEUS预测结果比较，差异有统计学意义(P＝0.046)。 结论经皮CEUS是乳腺癌患者SLN术前定位及转移风险评估的一种有效方法。     

Relationship between tRNA-derived fragments and human cancers

tRNA-derived fragments, a class of small noncoding RNAs (sncRNAs), have been identified in numerous studies in recent years. tRNA-derived fragments are classified into two main groups, including tRNA halves (tiRNAs) and tRNA-derived small RNA fragments (tRFs), according to different cleavage positions of the precursor or mature tRNAs. Instead of random tRNA degradation debris, a growing body of evidence has shown that tRNA-derived fragments are precise products of specific tRNA modifications and play important roles in biological activities, such as regulating protein translation, affecting gene expression, and altering immune signaling. Recently, the relations between tRNA-derived fragments and the occurrence of human diseases, especially cancers, have generated wide interest. It has been demonstrated that tRNA-derived fragments are involved in cancer cell proliferation, metastasis, progression and survival. In this review, we will describe the biogenesis of tRNA-derived fragments, the distinct expression and function of tRNA-derived fragments in the development of cancers, and their emerging roles as diagnostic and prognostic biomarkers and precise targets of future treatments.