妊娠期阻塞性睡眠呼吸暂停筛查的研究进展

阻塞性睡眠呼吸暂停（OSA）是妊娠人群中常见的睡眠呼吸障碍性疾病,不仅与多种不良妊娠结局相关,也可能对母婴远期健康产生重要影响。目前诊断OSA的金标准多导睡眠监测在妊娠人群中难以大规模开展,导致绝大多数妊娠期OSA未能得到及时诊断。寻求其他筛查策略和筛查工具准确识别具有OSA风险的孕妇并进行及时诊治,对于改善不良妊娠结局具有重要意义。本文针对妊娠期OSA患病率、筛查现状、筛查时机、目标人群、筛查工具的研究进展进行综述,以期为妊娠期OSA的筛查提供参考和理论依据。     

Rubidium-82 Positron Emission Tomography With Intravenous Ergonovine to Diagnose Vasospastic Angina

The gold standard to diagnose vasospastic angina is intracoronary reactivity testing, which is performed selectively at dedicated centres. Noninvasive imaging with single-photon emission computerized tomography (SPECT) or echocardiography does not enable accurate localization of spasm or quantification of change in myocardial perfusion in response to an abnormal vasoreactivity. Rubidium-82 positron emission tomography myocardial perfusion imaging (⁸²Rb PET-MPI) with intravenous ergonovine was used to diagnose refractory vasospastic angina in a patient with a complex ischemic syndrome, recent coronary stenting, and persistent atypical angina despite maximal tolerable doses of guideline-directed medical therapy.     

Granulocytic epithelial lesion (GEL) in heterotopic pancreas

BackgroundThe diagnosis of type 2 autoimmune pancreatitis (AIP) is dependent on typical radiologic imaging and the presence of the granulocytic epithelial lesion (GEL), which is characterized by ductal neutrophilic infiltration with or without neutrophilic acinar infiltration.MethodsWe evaluated GEL and related clinicopathologic factors in 165 resected heterotopic pancreata (HPs) [57 gastric (35%), 56 duodenal (34%), 30 omental (18%), and 22 jejunal (13%)] and 29 matched orthotopic pancreata routinely examined during surgery.ResultsGEL was noted in 8% (13/165) of HPs, including ductal epithelial (6/13, 46%) and intraluminal (8/13, 62%) neutrophilic infiltrations. However, there was no GEL in orthotopic pancreata. Abdominal pain was observed in 6 (46%) patients with GEL-positive HPs. GEL was more commonly observed in HPs having symptoms (p = 0.029), a larger size (p = 0.028), and an infiltrative growth pattern (p = 0.006). In addition, periductal lymphoplasmacytic infiltration and fibrosis (both p < 0.001), interstitial fibrosis (p = 0.017), acinar neutrophilic infiltration (p = 0.032), venulitis (p = 0.050), acinar ductal metaplasia (ADM; p = 0.040), and pancreatic intraepithelial neoplasia/intraductal papillary mucinous neoplasms (PanIN/IPMN; p < 0.001) were more commonly seen in HPs with GEL than in those without GEL. Inflammatory bowel disease was present only in one patient with GEL-negative HP.ConclusionsGELs are detected in a subset of HPs without clinical evidence of AIP. Therefore, for the diagnosis of AIP, GEL should be carefully interpreted with the context of other histologic, clinical, and radiologic findings.     

Higenamine as a Potential Pharmacologic Stress Agent in the Detection of Coronary Artery Disease

Myocardial perfusion imaging (MPI) is valuable for the diagnosis, prognosis, and management of coronary artery disease (CAD). The most commonly used pharmacologic stress agents at present are vasodilators and adrenergic agents. However, these agents have contraindications and may cause adverse effects in some patients. Thus, other stress agents feasible for more patients are required. Higenamine (HG) is a β-adrenergic receptor agonist currently approved for clinical trials as a stress agent for myocardial infarction. It also has a promising value in MPI for the detection of CAD in preclinical and clinical studies. This review summarizes the application of HG on MPI, including its mechanism of action, stress protocol, efficacy, and safety.     

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark

PurposeSurgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robotic assistance or improve training of surgeons via data-driven feedback. In surgical workflow analysis up to 91% average precision has been reported for phase recognition on an open data single-center video dataset. In this work we investigated the generalizability of phase recognition algorithms in a multicenter setting including more difficult recognition tasks such as surgical action and surgical skill.MethodsTo achieve this goal, a dataset with 33 laparoscopic cholecystectomy videos from three surgical centers with a total operation time of 22 h was created. Labels included framewise annotation of seven surgical phases with 250 phase transitions, 5514 occurences of four surgical actions, 6980 occurences of 21 surgical instruments from seven instrument categories and 495 skill classifications in five skill dimensions. The dataset was used in the 2019 international Endoscopic Vision challenge, sub-challenge for surgical workflow and skill analysis. Here, 12 research teams trained and submitted their machine learning algorithms for recognition of phase, action, instrument and/or skill assessment.ResultsF1-scores were achieved for phase recognition between 23.9% and 67.7% (n = 9 teams), for instrument presence detection between 38.5% and 63.8% (n = 8 teams), but for action recognition only between 21.8% and 23.3% (n = 5 teams). The average absolute error for skill assessment was 0.78 (n = 1 team).ConclusionSurgical workflow and skill analysis are promising technologies to support the surgical team, but there is still room for improvement, as shown by our comparison of machine learning algorithms. This novel HeiChole benchmark can be used for comparable evaluation and validation of future work. In future studies, it is of utmost importance to create more open, high-quality datasets in order to allow the development of artificial intelligence and cognitive robotics in surgery.