China special issue on gastrointestinal tumors-Radiological features of pathological complete response in mismatch repair deficient colorectal cancer after neoadjuvant PD-1 blockade: A post hoc analysis of the PICC phase II trial

Neoadjuvant programmed cell death protein 1 (PD-1) blockade exhibits promising efficacy in patients with mismatch repair deficient (dMMR) colorectal cancer (CRC). However, discrepancies between radiological and histological findings have been reported in the PICC phase II trial (NCT 03926338). Therefore, we strived to discern radiological features associated with pathological complete response (pCR) based on computed tomography (CT) images. Data were obtained from the PICC trial that included 36 tumors from 34 locally advanced dMMR CRC patients, who received neoadjuvant PD-1 blockade for 3 months. Among the 36 tumors, 28 (77.8%) tumors achieved pCR. There were no statistically significant differences in tumor longitudinal diameter, the percentage change in tumor longitudinal diameter from baseline, primary tumor sidedness, clinical stage, extramural venous invasion status, intratumoral calcification, peritumoral fat infiltration, intestinal fistula and tumor necrosis between the pCR and non-pCR tumors. Otherwise, tumors with pCR had smaller posttreatment tumor maximum thickness (median: 10 mm vs 13 mm, P = .004) and higher percentage decrease in tumor maximum thickness from baseline (52.9% vs 21.6%, P = .005) compared to non-pCR tumors. Additionally, a higher proportion of the absence of vascular sign (P = .003, odds ratio [OR] = 25.870 [95% CI, 1.357-493.110]), nodular sign (P < .001, OR = 189.000 [95% CI, 10.464-3413.803]) and extramural enhancement sign (P = .003, OR = 21.667 [2.848-164.830]) was observed in tumors with pCR. In conclusion, these CT-defined radiological features may have the potential to serve as valuable tools for clinicians in identifying patients who have achieved pCR after neoadjuvant PD-1 blockade, particularly in individuals who are willing to adopt a watch-and-wait strategy.     

以宫腔积液为首发症状的胃型宫颈腺癌1例报道并文献复习

宫腔积液指宫腔内液体积存(积水、积血或积脓),是绝经后女性常见体征之一,常于超声检查时发现。持续宫腔积液患者,需宫腔镜检查寻找病因。本文报道1例以宫腔积液为首发症状,经宫腔镜检查确诊为胃型宫颈腺癌的患者。通过病例回顾并文献复习,以期为更多绝经后宫腔积液及宫颈病变的诊断提供参考,避免漏诊及误诊。1病例资料患者67岁,女,主因"绝经18年,不规则阴道出血2月"于2020年5月就诊于首都医科大学附属北京妇产医院妇科微创中心。     

Demarcation of arteriopulmonary segments: a novel and effective method for the identification of pulmonary segments

ObjectiveEach pulmonary segment is an anatomical and functional unit. However, it is fundamentally difficult to precisely distinguish every pulmonary segment using the conventional pulmonary intersegmental planes from computed tomography images. Building arteriopulmonary segments is likely to be an effective way to identify pulmonary segments.MethodsThe thoracic computed tomography images of 40 patients were collected. The anatomic structures of interest were extracted in the transverse, sagittal, and coronal planes using the semi-automated segmentation tools provided by Amira software. The intrapulmonary vessels were subsequently segmented and reconstructed. The distributions of the pulmonary arteries, veins, and bronchi were observed. In patients with pulmonary masses, the mass was also reconstructed.ResultsThe three-dimensional reconstructed images showed the branches of the pulmonary artery ramified up to their eighth order covering the entire lung as well as evident intersegmental gaps without pulmonary arteries. The segmental artery was closely accompanied by the segmental bronchi in 486 pulmonary segments (90% of total number of segments). The size and spatial location of the pulmonary mass within a pulmonary segment were also clearly visible.ConclusionsDemarcation of arteriopulmonary segments can be used to precisely distinguish every pulmonary segment and provide its detailed anatomical structure before pulmonary segmentectomy.     

Comprehensively evaluating cancer survival in children with birth defects: a population-based assessment

Cancer Causes & Control - Congenital malformations are strong risk factors for childhood cancer. Our objective was to determine whether cancer survival differs by birth defect status among...     

以宫腔积液为首发症状的胃型宫颈腺癌1例报道并文献复习

宫腔积液指宫腔内液体积存(积水、积血或积脓),是绝经后女性常见体征之一,常于超声检查时发现。持续宫腔积液患者,需宫腔镜检查寻找病因。本文报道1例以宫腔积液为首发症状,经宫腔镜检查确诊为胃型宫颈腺癌的患者。通过病例回顾并文献复习,以期为更多绝经后宫腔积液及宫颈病变的诊断提供参考,避免漏诊及误诊。1病例资料患者67岁,女,主因"绝经18年,不规则阴道出血2月"于2020年5月就诊于首都医科大学附属北京妇产医院妇科微创中心。     

3-硝基-1,2,4-三唑-5-酮的毒理学特性

3-硝基-1,2,4-三唑-5-酮（NTO）是一种不敏感含能材料，因其爆轰速度和压力与六氢-1,3,5-三硝基-1,3,5-三嗪（RDX）相似，合成和运输安全，已逐渐成为传统含能材料的替代品。近年来，随着国内外对含能材料毒性研究的不断深入，已证实NTO对生物体及生态系统具有多种毒性效应，主要表现为对哺乳动物的睾丸毒性。本文从生物代谢、生物毒性及生态毒性三个方面对NTO毒性进行系统概述，展望今后NTO毒性的研究方向，以期为NTO的职业健康风险评估提供可靠的毒理学基础。     

颈椎终板弧形高度与椎间隙后缘骨赘的相关性研究

目的：通过对颈椎病患者上下终板弧形高度、椎间隙高度与椎间隙后骨赘的影像学测量，研究其相关性及其临床应用价值。方法：收集2017年9月至2018年9月颈椎病手术108例患者的临床资料，男48例，年龄30~72岁，平均52岁，女60例，年龄37~79岁，平均54岁。其中C_2，3 6例，C_3，4 15例，C_4，5 32例，C_5，6 42例，C_6，7 13例。术前及术后摄颈椎X线片，利用PACS（Picture Archiving and Communication Systems）调阅影像，测量椎间隙的下上终板弧形高度（L₁，L₂），椎间隙高度（L₃）及后方骨赘的宽度（L₄）。利用Spearman分析它们之间的相关性。结果：L₁与L₄对比（r=-0.34，P<0.05），L₃与L₄对比（r=-0.36，P<0.05），存在负相关。L₁与L₃对比（r=0.38，P<0.05），L₂与L₃对比（r=0.48，P<0.05），存在正相关。L₁与L₂对比（P>0.05），L₂与L₄对比（P>0.05），差异无统计学意义。结论：下终板弧形高度与椎间隙后缘骨赘宽度呈负相关，通过其测量可明确颈椎退变程度，对颈椎病的早期防治有指导意义。     

甘麦大枣汤改善肿瘤抑郁的临床疗效

目的：观察甘麦大枣汤治疗肿瘤抑郁的临床疗效。方法：选取2018年1月至2018年10月上海中医药大学附属龙华医院收治的肿瘤抑郁患者72例作为研究对象，按照随机数字表法分为对照组和观察组，每组36例。2组均给予抗肿瘤中成药消癌平片，观察组加用甘麦大枣汤。2组疗程均为28 d，比较2组治疗前后抑郁自评量表（SDS）评分，抑郁相关指标5-羟色胺(5-HT)，同型半胱氨酸(Hcy),肿瘤坏死因子-α(TNF-α)，白细胞介素-6(IL-6)、自然杀伤细胞(NK)、免疫学指标(CD3+、CD4+、CD8+、CD4+/CD8+)水平及生命质量评分(QLQ-C30)的变化情况。结果：治疗后，SDS评分观察组明显低于对照组，差异有统计学意义(P<0.05)。抑郁相关炎性反应递质指标5-HT、TNF-α、IL-6改善，观察组好转程度明显高于对照组，差异有统计学意义(P<0.05)。免疫学指标CD3+、CD4+、CD4+/CD8+水平观察组改善程度明显高于对照组，差异有统计学意义(P<0.05)。生命质量量表中躯体、角色、情绪、社会功能、总健康状况、疲倦、失眠项目评分差异有统计学意义(P<0.05)。结论：甘麦大枣汤联合消癌平片治疗肿瘤抑郁患者，可明显减轻抑郁，提高机体免疫功能，改善生命质量。     

Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

BACKGROUND Postoperative liver failure is the most severe complication in cirrhotic patients with hepatocellular carcinoma(HCC) after major hepatectomy. Current available clinical indexes predicting postoperative residual liver function are not sufficiently accurate.AIM To determine a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance imaging for predicting liver failure in cirrhotic patients with HCC after major hepatectomy.METHODS For this retrospective study, a radiomics-based model was developed based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images in 101 patients with HCC between June 2012 and June 2018. Sixty-one radiomic features were extracted from hepatobiliary phase images and selected by the least absolute shrinkage and selection operator method to construct a radiomics signature. A clinical prediction model, and radiomics-based model incorporating significant clinical indexes and radiomics signature were built using multivariable logistic regression analysis. The integrated radiomics-based model was presented as a radiomics nomogram. The performances of clinical prediction model, radiomics signature, and radiomics-based model for predicting post-operative liver failure were determined using receiver operating characteristics curve, calibration curve, and decision curve analyses.RESULTS Five radiomics features from hepatobiliary phase images were selected to construct the radiomics signature. The clinical prediction model, radiomics signature, and radiomics-based model incorporating indocyanine green clearance rate at 15 min and radiomics signature showed favorable performance for predicting postoperative liver failure(area under the curve: 0.809-0.894). The radiomics-based model achieved the highest performance for predicting liver failure(area under the curve: 0.894; 95%CI: 0.823-0.964). The integrated discrimination improvement analysis showed a significant improvement in the accuracy of liver failure prediction when radiomics signature was added to the clinical prediction model(integrated discrimination improvement = 0.117, P =0.002). The calibration curve and an insignificant Hosmer-Lemeshow test statistic(P = 0.841) demonstrated good calibration of the radiomics-based model. The decision curve analysis showed that patients would benefit more from a radiomics-based prediction model than from a clinical prediction model and radiomics signature alone.CONCLUSION A radiomics-based model of preoperative gadoxetic acid–enhanced MRI can be used to predict liver failure in cirrhotic patients with HCC after major hepatectomy.