[Exploration and practice of cardio-oncology].

With the improvement of oncology diagnosis and treatment, the survival time of cancer patients has been significantly prolonged, and the cancer therapy-related cardiovascular toxicity such as radiotherapy, chemotherapy, immunotherapy, and surgery are becoming more and more prominent, and it is in this context that the germ of Cardio-Oncology exploration has come into being. The multidisciplinary Cardio-Oncology team aims to establish a multidisciplinary prevention and control system to assess patients' baseline risk factors, individualized monitoring, and weighing the risk-benefit ratio of cancer therapy. At present, the connotation of the discipline of Cardio-Oncology has been expanded horizontally and deepened vertically in China, and Cardio-Oncology treatment centers have blossomed all over the country. Moreover, international and domestic scholars continue to improve Cardio-Oncology guidelines and consensus through their own practice, and develop artificial intelligence software to help the development of the discipline. It is believed that in the future, with the training of Cardio-Oncologists and the output of high-quality clinical research evidence, cardiovascular safety of cancer patients can be ensured more scientifically and effectively.

Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning.

BACKGROUND AND PURPOSE: Recent developments in deep learning methods offer a potential solution to the need for alternative imaging methods due to concerns about the toxicity of gadolinium-based contrast agents. The purpose of the study was to synthesize virtual gadolinium contrast-enhanced T1-weighted MR images from noncontrast multiparametric MR images in patients with primary brain tumors by using deep learning. MATERIALS AND METHODS: We trained and validated a deep learning network by using MR images from 335 subjects in the Brain Tumor Segmentation Challenge 2019 training data set. A held out set of 125 subjects from the Brain Tumor Segmentation Challenge 2019 validation data set was used to test the generalization of the model. A residual inception DenseNet network, called T1c-ET, was developed and trained to simultaneously synthesize virtual contrast-enhanced T1-weighted (vT1c) images and segment the enhancing portions of the tumor. Three expert neuroradiologists independently scored the synthesized vT1c images by using a 3-point Likert scale, evaluating image quality and contrast enhancement against ground truth T1c images (1 = poor, 2 = good, 3 = excellent). RESULTS: The synthesized vT1c images achieved structural similarity index, peak signal-to-noise ratio, and normalized mean square error scores of 0.91, 64.35, and 0.03, respectively. There was moderate interobserver agreement between the 3 raters, regarding the algorithm's performance in predicting contrast enhancement, with a Fleiss kappa value of 0.61. Our model was able to accurately predict contrast enhancement in 88.8% of the cases (scores of 2 to 3 on the 3-point scale). CONCLUSIONS: We developed a novel deep learning architecture to synthesize virtual postcontrast enhancement by using only conventional noncontrast brain MR images. Our results demonstrate the potential of deep learning methods to reduce the need for gadolinium contrast in the evaluation of primary brain tumors.

Efficacy of topical application of hyaluronic acid in reducing complications after mandibular third molar surgery: a systematic review and meta-analysis.

OBJECTIVE: This systematic review aimed to assess if topical application of hyaluronic acid (HA) reduced complication rates after mandibular third molar (M3) surgery. MATERIALS AND METHODS: PubMed, CENTRAL, Embase, and Web of Science were searched for randomized controlled trials (RCTs) assessing the efficacy of topical hyaluronic acid for mandibular third molar surgery. Gray literature was also searched. RESULTS: 12 RCTs were included. Meta-analysis showed that pain scores were significantly reduced after M3 surgery with the use of HA on the 1st, 2nd/3rd, and 7th postoperative days. Using postoperative maximal mouth opening (MMO) data, we noted that MMO was significantly better in the HA group on the 2/3rd post-operative day but not on the 7th postoperative day. Meta-analysis of just three studies showed that swelling was significantly reduced on the 1st postoperative day with the use of HA, however, no such difference was noted on the 2nd/3rd and 7th postoperative days. Alveolitis and infection data were not reported by the majority of studies which precluded a meta-analysis. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) certainty of evidence was low to moderate. CONCLUSIONS: Low-moderate quality of evidence suggests that topical application of HA may reduce pain as well as early trismus and swelling in patients undergoing M3 surgeries. The effect size of pain reduction is small thereby raising questions about its clinical significance. High inter-study heterogeneity and low-quality of trials are significant limitations. High-quality RCTs are needed to generate quality evidence.

Deficient chaperone-mediated autophagy in macrophage aggravates inflammation of nonalcoholic steatohepatitis by targeting Nup85.

BACKGROUND & AIMS: Nonalcoholic steatohepatitis (NASH), a more severe subtype of nonalcoholic fatty liver disease, can cause cirrhosis and hepatocellular carcinoma. Macrophages play critical roles in initiating and maintaining NASH-induced liver inflammation and fibrosis. However, the underlying molecular mechanism of macrophage chaperone-mediated autophagy (CMA) in NASH remains unclear. We aimed to investigate the effects of macrophage-specific CMA on liver inflammation and identify a potential therapeutic target for NASH treatment. METHODS: The CMA function of liver macrophages was detected using Western blot, quantitative reverse transcription-polymerase chain reaction (RT-qPCR) and flow cytometry. By constructing myeloid-specific CMA deficiency mice, we evaluated the effects of deficient CMA of macrophages on monocyte recruitment, liver injury, steatosis and fibrosis in NASH mice. A label-free mass spectrometry was utilized to screen the substrates of CMA in macrophages and their mutual interactions. The association between CMA and its substrate was further examined by immunoprecipitation, Western blot and RT-qPCR. RESULTS: A typical hallmark in murine NASH models was impaired CMA function in hepatic macrophages. Monocyte-derived macrophages (MDM) were the dominant macrophage population in NASH, and CMA function was impaired in MDM. CMA dysfunction aggravated liver-targeted recruitment of monocyte and promoted steatosis and fibrosis. Mechanistically, Nup85 functions as a substrate for CMA and its degradation was inhibited in CMA-deficient macrophages. Inhibition of Nup85 attenuated the steatosis and monocyte recruitment caused by CMA deficiency in NASH mice. CONCLUSIONS: We proposed that the impaired CMA-induced Nup85 degradation aggravated monocyte recruitment, promoting liver inflammation and disease progression of NASH.

Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction.

[This corrects the article DOI: 10.1117/1.JMI.9.1.016001.].

[Correlation between glycemic variability and glycosylated hemoglobin level during follow-up in elderly male patients with type 2 diabetes in Beijing].

Objective: To investigate the relationship between glycemic variability and glycosylated hemoglobin (HbA1c) level during follow-up in elderly male patients with type 2 diabetes. Methods: Retrospective cohort study. A total of 200 elderly male patients who received continuous glucose monitoring from January 2007 to January 2011 were recruited in the Second Medical Center of PLA General Hospital. The subjects were divided into two groups according to baseline mean amplitude of glycaemic excursion (MAGE) level, including MAGE <3.9 mmol/L group (n=114) and MAGE ≥3.9 mmol/L group (n=86). The correlation between baseline MAGE and mean HbA1c during follow-up were evaluated by univariate Pearson correlation analysis and multivariate linear regression analysis. Results: Baseline characteristics including age, body mass index, waist circumference, smoking, drinking, fasting blood glucose, blood lipid and blood pressure were comparable between MAGE <3.9 mmol/L group and MAGE ≥3.9 mmol/L group. The average follow-up period was 12.5 years. The mean HbA1c during follow-up in MAGE ≥3.9 mmol/L group was significantly higher than that in MAGE <3.9 mmol/L group (7.23%±0.72% vs. 6.91%±0.77%, t=-2.94, P=0.004). The proportion of mean HbA1c <7.0% during follow-up in MAGE ≥3.9 mmol/L group was 44.2% (38/86), which was significantly lower than that in MAGE <3.9 mmol/L group [60.5% (69/114), χ2=5.26, P=0.022]. In univariate analysis, MAGE at baseline was correlated with the mean HbA1c during follow-up (r=0.306, P<0.001). Multivariate linear regression analysis suggested that the baseline MAGE remained an independent influential factor of mean HbA1c (ß=0.09, 95%CI: 0.03 to 0.15, P=0.006, R2=0.31) after several confounding factors were adjusted. Conclusions: With the increased glycemic variability at baseline, mean HbA1c level during follow-up is accordingly elevated. The glycemic variability at baseline is independently related to mean HbA1c level during follow-up in elderly male patients with type 2 diabetes.

[Analysis of clinical and imaging features of 6 cases of linear scleroderma en coup de sabre with central nervous system involvement in children].

Objective: To summarize the clinical and imaging features of linear scleroderma en coup de saber (LSCS) with central nervous system involvement in children. Methods: The clinical data(clinical manifestations and imaging features) of 6 children diagnosed with LSCS with central nervous system involvement who were admitted to Beijing Children's Hospital Affiliated to Capital Medical University from May 2019 to November 2021 were retrospectively analyzed. Results: The 6 patients were all female, aged 6.8 (3.3, 11.0) years at the time of diagnosis, and aged 3.0 (1.7, 4.1) years at the time of discovery of facial skin lesions. Facial skin lesions appeared before neurological symptoms in 5 cases, and neurological symptoms appeared 2 months before skin lesions in 1 case. All the patients had "sword wound" skin lesions on the forehead with alopecia. Neurological manifestations included epileptic seizures in 6 cases, focal neurological defects in 5 cases, and headaches in 2 cases. The intracranial lesions were all ipsilateral to the skin lesions. The magnetic resonance imaging (MRI) of 6 cases showed abnormal signals mainly involving white matter in 1 hemisphere, and 3 cases showed local encephalomalacia. The scattered low signal was observed in 5 cases on susceptibility weighted imaging. Localized brain parenchyma or leptomeninges enhancement was seen on Gadolinium-enhanced sequences in 5 cases. Scattered foci of calcification on the affected side were seen on cranial CT in 4 cases. Skin biopsy was performed in 2 cases. Part of the lesion of the brain was removed in 1 case, and the pathological findings suggested small vasculitis, which was consistent with skin pathological changes. All patients received symptomatic treatment with antiepileptic drugs. Oral prednisone combined with methotrexate was given in 4 cases, and 1 case was given oral prednisone only. One case was presumed to be in the resting stage of the disease due to significant cerebral atrophy in half of the brain, and only antiepileptic drugs were added. The patients were followed up for 6-36 months. The skin lesions of scleroderma and alopecia did not progress in 5 cases, and hemifacial atrophy was developed in 1 case, which was considered to be combined with Parry-Romberg syndrome. The seizures were controlled in 4 cases. One case had reduced seizure frequency but left hemiplegia. One patient still had intractable epilepsy and paroxysmal headache. Conclusions: LSCS with central nervous system involvement is more common in girls, with seizures and neurological defects as the main manifestations. Intracranial lesions are mostly ipsilateral to the skin lesions. Cerebral microbleeds, calcification, and encephalomalacia foci are common, and the pathological changes in skin and intracranial lesions are consistent with small-vessel vasculitis. Prednisone combined with methotrexate treatment has shown some efficacy, but some children remain with refractory epilepsy and neurological deficit symptoms.

[Cardiovascular events and risk factors in hematological neoplasms patients treated with anthracyclines].

Objective: To explore the incidence and risk factors of cardiovascular events in hematological neoplasms patients treated with anthracyclines in the real world. Methods: A total of 408 patients with lymphoma and leukemia, who were treated with anthracyclines during hospitalization in the First Affiliated Hospital of Dalian Medical University from January 1, 2018 to July 31, 2021, were included in this retrospective study. Patients were divided into cardiovascular event group (n=74) and non-cardiovascular event group (n=334). The primary endpoint was cardiovascular events (arrhythmia, heart failure, acute myocardial infarction etc.) after anthracyclines therapy. The secondary endpoint was all-cause mortality, cardiovascular-cause death, discontinued chemotherapy due to cardiovascular events. Multivariate regression analysis was used to investigate the risk factors of cardiovascular events. Kaplan-Meier was performed to calculate the incidence of all-cause mortality. Results: The mean age was (55.6±14.9) years, and there were 227 male patients (55.6%) in this cohort. The median follow-up time was 45 months. During follow-up, cardiovascular adverse events occurred in 74 patients (18.1%), including 45 heart failure (38 were heart failure with preserved ejection fraction), 30 arrhythmia, 4 acute myocardial infarction and 2 myocarditis/pericarditis. Multivariate regression analysis showed age (OR=1.024, 95%CI 1.003-1.045, P=0.027) and history of hypertension over 10 years (OR=2.328, 95%CI 1.055-5.134, P=0.036) were independent risk factors for the cardiovascular events. Kaplan-Meier survival curve showed mortality was significantly higher in cardiovascular event group than in non-cardiovascular event group (47.3% vs. 26.6%, P=0.001). In the cardiovascular event group, chemotherapy was discontinued in 9 cases (12.2%) due to cardiovascular events and cardiovascular death occurred in 7 cases (9.5%). Conclusions: Although heart failure is the main cardiovascular event in lymphoma and leukemia patients post anthracyclines therapy, other cardiovascular events especially arrhythmias are also common. The presence of cardiovascular events is associated with higher risk of all-cause mortality in these patients. Age and long-term hypertension are independent risk factors for cardiovascular events in lymphoma and leukemia patients after anthracyclines treatment.

[RHPN2 is highly expressed in osteosarcoma cells to promote cell proliferation and migration and inhibit apoptosis].

OBJECTIVE: To screen for aberrantly expressed genes in osteosarcoma cells and investigate the role of RHPN2 in regulating the proliferation, apoptosis, migration and tumorigenic abilities of osteosarcoma cells. METHODS: We used GEO2R to analyze the differential gene expression profile between osteosarcoma cells and normal cells in the GSE70414 dataset. RTqPCR and Western blotting were performed to detect RHPN2 expression in osteosarcoma cell lines MG-63, 143B and SAOS2. Two RHPN2-shRNA and a control NC-shRNA were designed to silence the expression of RHPN2 in 143B cells, and CCK8 assay, colony-forming assay, annexin V-FITC/PI staining and scratch assays were carried out to examine the changes in proliferation, apoptosis and migration of the cells. We also established nude mouse models bearing osteosarcoma xenografts derived 143B cells and RHPN2-shRNA-transfected 143B cells, and assessed the effect of RHPN2 silencing on osteosarcoma cell tumorigenesis using HE staining. Kaplan-Meier survival curves were used to analyze the correlation between RHPN2 expression and survival outcomes of patients with osteosarcoma. RESULTS: RHPN2 expression was significantly upregulated in osteosarcoma cell lines MG-63, 143B and SAOS2 (P < 0.01). Silencing of RHPN2 significantly inhibited the proliferation and migration of 143B cells in vitro, promoted cell apoptosis (P < 0.01), and suppressed tumorigenic capacity of the cells in nude mice. A high expression of RHPN2 was significantly correlated with a poor prognosis of patients with osteosarcoma (P < 0.05). CONCLUSION: RHPN2 is highly expressed in osteosarcoma cells to promote cell proliferation and migration and inhibits cell apoptosis. A high expression of RHPN2 is associated with a poorer prognosis of the patients with osteosarcoma.

Cancer risk in individuals with autism spectrum disorder.

BACKGROUND: Whether individuals with autism spectrum disorders (ASDs) have a higher-than-expected risk of cancer remains unknown. PATIENTS AND METHODS: We carried out a population-based cohort study including 2.3 million individuals live-born to mothers from Nordic countries during 1987-2013 in Sweden with follow-up through 2016 (up to age 30 years). Individuals with ASD were ascertained through the Swedish National Patient Register. We estimated the relative risk of cancer in relation to ASD by odds ratios (ORs) and associated 95% confidence intervals (CIs) derived from logistic regression, after detailed adjustment for potential confounders. We also carried out a sibling comparison to address familial confounding and a genetic correlation analysis using the genome-wide association study summary statistics to address confounding due to potential polygenetic pleiotropy between ASD and cancer. RESULTS: We observed an overall increased risk of any cancer among individuals with ASD (OR 1.3, 95% CI 1.2-1.5), compared with individuals without ASD. The association for any cancer was primarily noted for narrowly defined autistic disorder (OR 1.7, 95% CI 1.3-2.1) and ASD with comorbid birth defects (OR 2.1, 95% CI 1.5-2.9) or both birth defects and intellectual disability (ID; OR 4.8, 95% CI 3.4-6.6). An association was also suggested for ASD with comorbid ID (OR 1.4; 95% CI 0.9-2.1), but was not statistically significant. ASD alone (i.e. without comorbid ID or birth defects) was not associated with an increased risk of any cancer (OR 1.0, 95% CI 0.8-1.2). Sibling comparison and genetic correlation analysis showed little evidence for familial confounding or confounding due to polygenetic pleiotropy between ASD and cancer. CONCLUSIONS: ASD per se is not associated with an increased risk for cancer in early life. The increased cancer risk among individuals with ASD is likely mainly attributable to co-occurring ID and/or birth defects in ASD.

Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction.

Purpose: Deep learning has shown promise for predicting the molecular profiles of gliomas using MR images. Prior to clinical implementation, ensuring robustness to real-world problems, such as patient motion, is crucial. The purpose of this study is to perform a preliminary evaluation on the effects of simulated motion artifact on glioma marker classifier performance and determine if motion correction can restore classification accuracies. Approach: T2w images and molecular information were retrieved from the TCIA and TCGA databases. Simulated motion was added in the k-space domain along the phase encoding direction. Classifier performance for IDH mutation, 1p/19q co-deletion, and MGMT methylation was assessed over the range of 0% to 100% corrupted k-space lines. Rudimentary motion correction networks were trained on the motion-corrupted images. The performance of the three glioma marker classifiers was then evaluated on the motion-corrected images. Results: Glioma marker classifier performance decreased markedly with increasing motion corruption. Applying motion correction effectively restored classification accuracy for even the most motion-corrupted images. For isocitrate dehydrogenase (IDH) classification, 99% accuracy was achieved, exceeding the original performance of the network and representing a new benchmark in non-invasive MRI-based IDH classification. Conclusions: Robust motion correction can facilitate highly accurate deep learning MRI-based molecular marker classification, rivaling invasive tissue-based characterization methods. Motion correction may be able to increase classification accuracy even in the absence of a visible artifact, representing a new strategy for boosting classifier performance.

Limonitum Ameliorates Castor Oil-Induced Diarrhoea in Mice by Modulating Gut Microbiota.

Diarrhoea is a common clinical condition; its pathogenesis is strongly associated with gut microbiota dysbiosis. Limonitum is a well-known traditional Chinese medicine that exerts appreciable benefits regarding the amelioration of diarrhoea. However, the mechanism through which Limonitum ameliorates diarrhoea remains unclear. Here, the efficacy and underlying mechanism of Limonitum decoction (LD) regarding diarrhoea were explored from the aspect of gut microbiota. Castor oil (CO) was used to induce diarrhoea in mice, which were then used to evaluate the effects of LD regarding the timing of the first defecation, diarrhoea stool rate, degree of diarrhoea, diarrhoea score, intestinal propulsive rate, and weight of intestinal contents. The concentrations of short-chain fatty acids (SCFAs), including acetic, propionic, isobutyric, butyric and valeric acids, were analysed by gas chromatography-mass spectrometry (GC-MS). The 16S rRNA high-throughput sequencing technology was applied to evaluate changes in the gut microbiota under exposure to LD. LD was found to effectively ameliorate the symptoms of diarrhoea, and the diversity and relative abundance of gut microbiota were restored to normal levels following LD treatment. Additionally, LD significantly restored the observed reductions in SCFAs. These results provide strong evidence that LD can sufficiently ameliorate diarrhoea in mice by regulating their gut microbiota. The findings presented here highlight that Limonitum may constitute a prospective remedy for diarrhoea.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal pathology multi-compartment segmentation (e.g., tumor and lesion sub-regions) is particularly challenging, and potential errors hinder translating DL models into clinical workflows. Quantifying the reliability of DL model predictions in the form of uncertainties could enable clinical review of the most uncertain regions, thereby building trust and paving the way toward clinical translation. Several uncertainty estimation methods have recently been introduced for DL medical image segmentation tasks. Developing scores to evaluate and compare the performance of uncertainty measures will assist the end-user in making more informed decisions. In this study, we explore and evaluate a score developed during the BraTS 2019 and BraTS 2020 task on uncertainty quantification (QU-BraTS) and designed to assess and rank uncertainty estimates for brain tumor multi-compartment segmentation. This score (1) rewards uncertainty estimates that produce high confidence in correct assertions and those that assign low confidence levels at incorrect assertions, and (2) penalizes uncertainty measures that lead to a higher percentage of under-confident correct assertions. We further benchmark the segmentation uncertainties generated by 14 independent participating teams of QU-BraTS 2020, all of which also participated in the main BraTS segmentation task. Overall, our findings confirm the importance and complementary value that uncertainty estimates provide to segmentation algorithms, highlighting the need for uncertainty quantification in medical image analyses. Finally, in favor of transparency and reproducibility, our evaluation code is made publicly available at https://github.com/RagMeh11/QU-BraTS.

[Screening of candidate genes related to low-dose ionizing radiation based on transcriptome-proteome correlation research techniques].

Objective: To identify the related genes of low-dose ionizing radiation on basis of association analysis of transcriptome and proteome data, and provide new clues for the molecular mechanism of low-dose radiation (LDR) effect. Methods: In March 2018, healthy human peripheral blood was used as materials for transcriptome sequencing and proteome analysis after exposure to radiation at 150 mGy (treatment group) and no radiation (control group) , with three samples in each group. The total RNA and protein were extracted and then correlation analysis of transcriptomic and proteomic were performed to determine LDR effect-related genes, and after that, the biological process and molecular function were analyzed. Results: A total of 486 genes and 266 proteins were identified differentially expressed between treatment group and control group, respectively. Twelve genes and related proteins were found correlated (P<0.05) . The overall correlation between quantitative protein and gene was low (rs=0.0034) , the differential gene with the same change trend was positively correlated with protein expression (rs=0.6786) , and the differential gene with the opposite change trend was negatively correlated with protein expression (rs=-0.1000) . Seven differentially expressed genes (DEGs) showed the same trend as proteins, among which FBXO7 and SNCA were up-regulated as well as ORM1, ORM2, HIST1H4J, HBZ and LYZ were down-regulated. Five DEGs showed the opposite trend as proteins, including SLC4A1, BCAM, C4B_2, KEL, TGM2 up-regulated in transcription level and down-regulated in protein expression level. These DEGs were involved in various biological processes such as immune system regulation, signal transduction, enzyme activity regulation, transmembrane transport, defense, transcription and DNA repair, which indicated their important roles in response to LDR in human peripheral blood. Conclusion: Twelve candidate genes related to LDR effect and their corresponding expressed proteins are screened by the correlation research of transcriptome and proteome data, which provides new clues for the further study of the mechanism of LDR effect.

Fundamentals of Radiation Oncology for Treatment of Vertebral Metastases.

The fields of both radiology and radiation oncology have evolved considerably in the past few decades, resulting in an increased ability to delineate between tumor and normal tissue to precisely target and treat vertebral metastases with radiation therapy. These scientific advances have also led to improvements in assessing treatment response and diagnosing toxic effects related to radiation treatment. However, despite technological innovations yielding greatly improved rates of palliative relief and local control of osseous spinal metastases, radiation therapy can still lead to a number of acute and delayed posttreatment complications. Treatment-related adverse effects may include pain flare, esophageal toxic effects, dermatitis, vertebral compression fracture, radiation myelopathy, and myositis, among others. The authors provide an overview of the multidisciplinary approach to the treatment of spinal metastases, indications for surgical management versus radiation therapy, various radiation technologies and techniques (along with their applications for spinal metastases), and current principles of treatment planning for conventional and stereotactic radiation treatment. Different radiologic criteria for assessment of treatment response, recent advances in radiologic imaging, and both common and rare complications related to spinal irradiation are also discussed, along with the imaging characteristics of various adverse effects. Familiarity with these topics will not only assist the diagnostic radiologist in assessing treatment response and diagnosing treatment-related complications but will also allow more effective collaboration between diagnostic radiologists and radiation oncologists to guide management decisions and ensure high-quality patient care. ©RSNA, 2021.

Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis.

Background While digital breast tomosynthesis (DBT) is rapidly replacing digital mammography (DM) in breast cancer screening, the potential of DBT density measures for breast cancer risk assessment remains largely unexplored. Purpose To compare associations of breast density estimates from DBT and DM with breast cancer. Materials and Methods This retrospective case-control study used contralateral DM/DBT studies from women with unilateral breast cancer and age- and ethnicity-matched controls (September 19, 2011-January 6, 2015). Volumetric percent density (VPD%) was estimated from DBT using previously validated software. For comparison, the publicly available Laboratory for Individualized Breast Radiodensity Assessment software package, or LIBRA, was used to estimate area-based percent density (APD%) from raw and processed DM images. The commercial Quantra and Volpara software packages were applied to raw DM images to estimate VPD% with use of physics-based models. Density measures were compared by using Spearman correlation coefficients (r), and conditional logistic regression was performed to examine density associations (odds ratios [OR]) with breast cancer, adjusting for age and body mass index. Results A total of 132 women diagnosed with breast cancer (mean age ± standard deviation [SD], 60 years ± 11) and 528 controls (mean age, 60 years ± 11) were included. Moderate correlations between DBT and DM density measures (r = 0.32-0.75; all P < .001) were observed. Volumetric density estimates calculated from DBT (OR, 2.3 [95% CI: 1.6, 3.4] per SD for VPD%DBT) were more strongly associated with breast cancer than DM-derived density for both APD% (OR, 1.3 [95% CI: 0.9, 1.9] [P < .001] and 1.7 [95% CI: 1.2, 2.3] [P = .004] per SD for LIBRA raw and processed data, respectively) and VPD% (OR, 1.6 [95% CI: 1.1, 2.4] [P = .01] and 1.7 [95% CI: 1.2, 2.6] [P = .04] per SD for Volpara and Quantra, respectively). Conclusion The associations between quantitative breast density estimates and breast cancer risk are stronger for digital breast tomosynthesis compared with digital mammography. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Yaffe in this issue.

Mammographic Variation Measures, Breast Density, and Breast Cancer Risk.

OBJECTIVE. Our previous work showed that variation measures, which represent breast architecture derived from mammograms, were significantly associated with breast cancer. For replication purposes, we examined the association of three variation measures (variation [V], which is measured in the image domain, and P1 and p1 [a normalized version of P1], which are derived from restricted regions in the Fourier domain) with breast cancer risk in an independent population. We also compared these measures to volumetric density measures (volumetric percent density [VPD] and dense volume [DV]) from a commercial product. MATERIALS AND METHODS. We examined 514 patients with breast cancer and 1377 control patients from a screening practice who were matched for age, date of examination, mammography unit, facility, and state of residence. Spearman rank-order correlation was used to evaluate the monotonic association between measures. Breast cancer associations were estimated using conditional logistic regression, after adjustment for age and body mass index. Odds ratios were calculated per SD increment in mammographic measure. RESULTS. These variation measures were strongly correlated with VPD (correlation, 0.68-0.80) but not with DV (correlation, 0.31-0.48). Similar to previous findings, all variation measures were significantly associated with breast cancer (odds ratio per SD: 1.30 [95% CI, 1.16-1.46] for V, 1.55 [95% CI, 1.35-1.77] for P1, and 1.51 [95% CI, 1.33-1.72] for p1). Associations of volumetric density measures with breast cancer were similar (odds ratio per SD: 1.54 [95% CI, 1.33-1.78] for VPD and 1.34 [95% CI, 1.20-1.50] for DV). When DV was included with each variation measure in the same model, all measures retained significance. CONCLUSION. Variation measures were significantly associated with breast cancer risk (comparable to the volumetric density measures) but were independent of the DV.

[Preoperative treatment of uterine fibroids with low-dose mifepristone: a multicenter, randomized, double-blind, placebo-controlled, parallel-group study].

Objective: To evaluate the clinical efficacy and safety of oral mifepristone (10 mg/day) versus placebo in the preoperative treatment of uterine fibroids. Methods: This study was a multi-center, randomized, double-blind, placebo, parallel controlled trial. A total of 132 patients with uterine fibroids were randomly divided into study group and control group, with 66 cases in each group. The patients in the study group orally took 1 tablet/day of mifepristone (dose of 10 mg/tablet), the patients in the control group orally took 1 tablet/day of placebo, and both groups were treated for 3 months. The primary efficacy evaluation indicators were the change rate of maximum fibroid volume; the secondary efficacy evaluation indicators included amenorrhea rate, improvement of subjective symptoms and anemia; the safety evaluation indicators included the analysis of adverse events and changes in laboratory biochemical indicators. Results: At the end of treatment, the maximum leiomyoma volume was reduced by 25.97% (95%CI: -34.79%--15.95%) in the study group and reduced by 1.51% (95%CI: -13.03%-11.54%) in the control group. The change rate of the maximum leiomyoma volume before and after treatment in the study group was significantly greater than that in the control group, and the difference in the change rate of the maximum leiomyoma volume between the two groups was -24.84% (95%CI: -36.56%--10.94%), which was much higher than the 10% superiority threshold goal set by this study within the 95%CI interval. At the end of treatment, the complete amenorrhea rate [84% (52/62)], dysmenorrhea elimination rate [98% (61/62)], and menstrual blood loss disappearance rate [87% (54/62)] in the study group were significantly higher than those in the control group (all P<0.05). At the end of treatment, the mean hemoglobin [(131±13) g/L], red blood cell count [(4.5±0.4)×1012/L] and hematocrit (0.39±0.03) in the study group were significantly increased compared with the baseline, and the differences had statistical significance (all P<0.05); after treatment, the differences in the above three indicators between the two groups had statistical significance (all P<0.01). The serum estradiol level in the study group was significantly lower than that in the control group at the end of treatment, and the difference was statistically significant (P<0.01). There were no significant differences in follicle-stimulating hormone and cortisol levels before and after treatment between the two groups (P>0.05). The overall incidences of any adverse event were not significantly different between the two groups (all P>0.05). Abdominal pain was the most common adverse event in the study group [9% (6/65)], but the incidence was not significantly increased compared with the control group [3% (2/64); P>0.05]. Conclusion: Compared with placebo, oral mifepristone 10 mg/day is significantly superior to placebo in reducing the size of uterine fibroids and improving anemia, without significant adverse reactions, and could be used as a drug treatment for patients with of uterine fibroids before surgery.