Highly sensitive short-range mode resonance sensor with multilayer structured hyperbolic metamaterials.

Hyperbolic metamaterial (HMM) based sensors can achieve superior sensing performance than conventional surface plasmon resonance sensors. In this work, the operator approach to effective medium approximation (OEMA) is used to characterize the HMM dielectric constant properties of metal-dielectric multilayer structures, which are classified into short-range (SR) mode and long-range (LR) mode according to the propagation length of the bulk high K waves in HMM. The dispersion relations of SR modes are derived, and a high-sensitivity refractive index sensor is designed for the near-infrared SR mode resonance. The effects of the number of periods, cell thickness, metal fill rate and incidence angle on the SR mode resonance were analyzed for the multilayer structured HMM. Our designed sensing structure achieves a maximum sensitivity of 330 µm/RIU in the near-infrared band with a quality factor of 492 RIU-1. In addition, the simulations show that the SR mode resonance wavelength is flexible and tunable. We believe that the study of HMM-based SR mode resonance sensors offers potential applications for high-sensitivity biochemical detection.

Construction and validation of a novel and superior protein risk model for prognosis prediction in esophageal cancer.

Esophageal cancer (EC) is recognized as one of the most common malignant tumors in the word. Based on the biological process of EC occurrence and development, exploring molecular biomarkers can provide a good guidance for predicting the risk, prognosis and treatment response of EC. Proteomics has been widely used as a technology that identifies, analyzes and quantitatively acquires the composition of all proteins in the target tissues. Proteomics characterization applied to construct a prognostic signature will help to explore effective biomarkers and discover new therapeutic targets for EC. This study showed that we established a 8 proteins risk model composed of ASNS, b-Catenin_pT41_S45, ARAF_pS299, SFRP1, Vinculin, MERIT40, BAK and Atg4B via multivariate Cox regression analysis of the proteome data in the Cancer Genome Atlas (TCGA) to predict the prognosis power of EC patients. The risk model had the best discrimination ability and could distinguish patients in the high- and low-risk groups by principal component analysis (PCA) analysis, and the high-risk patients had a poor survival status compared with the low-risk patients. It was confirmed as one independent and superior prognostic predictor by the receiver operating characteristic (ROC) curve and nomogram. K-M survival analysis was performed to investigate the relationship between the 8 proteins expressions and the overall survival. GSEA analysis showed KEGG and GO pathways enriched in the risk model, such as metabolic and cancer-related pathways. The high-risk group presented upregulation of dendritic cells resting, macrophages M2 and NK cells activated, downregulation of plasma cells, and multiple activated immune checkpoints. Most of the potential therapeutic drugs were more appropriate treatment for the low-risk patients. Through adequate analysis and verification, this 8 proteins risk model could act as a great prognostic evaluation for EC patients and provide new insight into the diagnosis and treatment of EC.

Construction of a novel necroptosis-related lncRNA signature for prognosis prediction in esophageal cancer.

BACKGROUND: Esophageal cancer (EC), one highly malignant gastrointestinal cancer, is the 6th leading cause of cancer-related deaths worldwide. Necroptosis and long non-coding RNA (lncRNA) play important roles in the occurrence and development of EC, but the research on the role of necroptosis-related lncRNA in EC is not conclusive. This study aims to use bioinformatics to investigate the prognostic value of necroptosis-related lncRNA in EC. METHODS: Transcriptome data containing EC and normal samples, and clinical information were obtained from the Cancer Genome Atlas database. 102 necroptosis-related genes were obtained from Kanehisa Laboratories. Necroptosis-related lncRNAs were screened out via univariate, multivariate Cox and the least absolute shrinkage and selection operator regression analyses to construct the risk predictive model. The reliability of the risk model was evaluated mainly through quantitative real-time PCR (qRT-PCR), the receiver operating characteristic (ROC) curves and the constructed nomogram. KEGG pathways were explored in the high- and low-risk groups of EC patients via gene set enrichment analyses (GSEA) software. Immune microenvironment and potential therapeutic agents in risk groups were also analyzed. RESULTS: A 6 necroptosis-related lncRNAs risk model composed of AC022211.2, Z94721.1, AC007991.2, SAMD12-AS1, AL035461.2 and AC051619.4 was established to predict the prognosis level of EC patients. qRT-PCR analysis showed upregulated Z94721.1 and AL035461.2 mRNA levels and downregulated AC051619.4 mRNA level in EC tissues compared with normal tissues. According to clinical characteristics, the patients in the high-risk group had a shorter overall survival than the low-risk group. The ROC curve and nomogram confirmed this model as one independent and predominant predictor. GSEA analysis showed metabolic and immune-related pathways enriched in the risk model. Most of the immune cells and immune checkpoints were positively correlated with the risk model, mainly active in the high-risk group. For the prediction of potential therapeutic drugs, 16 compounds in the high-risk group and 2 compounds in the low-risk group exhibited higher sensitivity. CONCLUSIONS: Our results supported the necroptosis-related lncRNA signature could independently predict prognosis of EC patients, and provided theoretical basis for improving the clinical treatment of EC.

Indeterminate pulmonary subsolid nodules in patients with no history of cancer: growing prediction, CT pattern, and pathological diagnosis.

PURPOSE We aimed to evaluate and compare the growth patterns among pathological types of inde- terminate subsolid nodules in patients without a history of cancer as observed on computed tomography (CT). METHODS This retrospective study included 77 consecutive patients with 80 indeterminate subsolid nod- ules on unenhanced thin-section CT. Subsolid nodules were classified into 2 growth pattern groups based on volume: growth (n = 35) and non-growth (n = 42). According to the pathologi- cal diagnosis, subsolid nodules were further subdivided into 3 groups: adenocarcinoma in situ (growth, n = 8 vs. non-growth, n = 22), minimally invasive adenocarcinoma (n = 14 vs. n = 15), and invasive adenocarcinoma (n=13 vs. n=5). Kaplan-Meier and Cox proportional hazards regres- sion analyses were performed to identify the risk factors for subsolid nodules growth. The CT findings of the 35 subsolid nodules in the growth group were compared among the 3 pathologi- cal groups. RESULTS In the growth group, the overall mean volume doubling time and mass doubling time (MDT) were 811.5 days and 616.5 days, respectively. Patient's age (odds ratio=1.041, P=.045) and CT subtype of non-solid nodule and part-solid nodule (odds ratio=3.430, P=.002) could predict subsolid nodule growth. The baseline volume, mass, and mean CT value were larger in the inva- sive adenocarcinoma group than in the adenocarcinoma in situ group (all P < .01). The shortest volume doubling time was observed in the invasive adenocarcinoma group, followed by the minimally invasive adenocarcinoma group and the adenocarcinoma in situ group. A shorter mass doubling time was observed in the minimally invasive adenocarcinoma group than in the adenocarcinoma in situ group (all P < .02). CONCLUSION As age increases, the risk of pulmonary subsolid nodule growth increases by 4% each year, and part-solid nodules have a 3 times higher risk of growth compared to non-solid nodules in patients with no history of cancer. Subsolid nodules with more aggressive pathological charac- teristics grow at a faster rate.

Large cystic-solid pulmonary hamartoma: A case report.

BACKGROUND: It now seems that all pulmonary hamartomas (PHs) are large cystic-solid lesions that are difficult to diagnose. However, few cases of large cystic-solid PHs have been reported. The present case report presents a large cystic-solid PH and provides a literature review of the imaging features, formation mechanism and histopathological basis of PHs. CASE SUMMARY: A 53-year-old woman with no clinical symptoms underwent a chest computed tomography (CT) examination at our hospital. Nonenhanced CT images revealed a large, flat tumor with multiple air-containing cysts in the left thoracic cavity and a cystic part confined to the medial side of the tumor; the solid part of the tumor showed abundant fat and lamellar soft tissue components. Multiple small blood vessels were detected in the solid part of the tumor on contrast-enhanced CT images. Given the large size of the lesion, the patient elected to undergo surgery. Histological examination revealed PH. A detailed review of the patient's CT imaging showed that the lesion had a small vascular pedicle to the left lower lobe, which was a clue to its lung tissue histological origin. According to immunohistochemical staining, the confined multiple air-containing cysts were caused by the entrapment of respiratory/alveolar epithelium. CONCLUSION: This case shows the imaging manifestations of a large PH. Heightened awareness of its formation mechanism and histopathological basis may alert radiologists to consider this diagnosis in their daily workflow.

Evaluation of ultralow-dose computed tomography on detection of pulmonary nodules in overweight or obese adult patients.

PURPOSE: To evaluate the accuracy of pulmonary nodule (PN) detection in overweight or obese adult patients using ultralow-dose computed tomography (ULDCT) with tin filtration at 100 kV and advanced model-based iterative reconstruction (ADMIRE). METHODS: Eighty-one patients with body mass indices of ≥25 kg/m2 were enrolled. All patients underwent low-dose chest CT (LDCT), followed by ULDCT. Two radiologists experienced in LDCT established the standard of reference (SOR) for PNs. The number, type, size, and location of PNs were identified in the SOR. Effective dose, objective image quality (IQ), and subjective IQ based on two radiologists' scores were compared between ULDCT and LDCT. The detection performances of radiologists based on ULDCT were calculated according to the nodule analyses. Logistic regression was used to test for independent predictors of PN detection sensitivity. RESULTS: Both the effective dose and objective IQ were lower for ULDCT than for LDCT (both p < 0.001). Both radiologists rated the subjective IQ of the overall IQ on ULDCT to be diagnostically sufficient. In total, 234 nodules (mean diameter, 3.4 ± 1.9 mm) were classified into 32 subsolid, 149 solid, and 53 calcified nodules according to the SOR. The overall sensitivity of ULDCT for nodule detection was 93.6%. Based on multivariate analyses, the nodule types (p = 0.015) and sizes (p = 0.013) were independent predictors of nodule detection. CONCLUSIONS: Compared with LDCT, ULDCT with tin filtration at 100 kV and ADMIRE could significantly reduce the radiation dose in overweight or obese patients while maintaining good sensitivity for nodule detection.

Skimmianine as a novel therapeutic agent suppresses proliferation and migration of human esophageal squamous cell carcinoma via blocking the activation of ERK1/2.

Esophageal squamous cell carcinoma (ESCC), one of the main histopathological subtypes of esophageal cancer (EC), is characterized by high morbidity and mortality. Clinical treatment for ESCC lacks specific molecular targets and effective therapeutic drugs. Skimmianine (SK), one of the natural fluroquinolone alkaloids, is widely present in Rutaceae family plants. Here, we mainly used CCK-8 assay, clone formation, flow cytometry analysis, wound-healing assay, Transwell assay, western blot, quantitative real-time PCR (qRT-PCR), molecular docking analysis, tumor xenograft assay, and immunohistochemistry (IHC) staining to investigate the potential anti-tumor effect of SK on ESCC. We demonstrated that SK inhibited the proliferation of TE-1 and Eca109 cells via inducing the G0/G1 phase cell cycle arrest, prevented the migration and invasion of tumor cells via regulating epithelial-mesenchymal transition (EMT) in vitro. In addition, SK obviously suppressed the growth of xenografted Eca109 tumors in nude mice. The anti-tumor mechanism of SK could be blocking the activation of extracellular signal-regulated kinases 1/2 (ERK1/2) in the mitogen-activated protein kinase (MAPK)/ERK signaling pathway. Our basic research suggests that SK can be a potential therapeutic agent for ESCC.

Combined high-resolution 3D CUBE T1-weighted imaging and non-contrast-enhanced magnetic resonance venography for evaluation of vein stenosis in May-Thurner syndrome.

PURPOSE: To explore the feasibility of high-resolution MRI 3-dimensional (3D) CUBE T1-weighted magnetic resonance imaging (MRI) in combination with non-contrast-enhanced (NCE) magnetic resonance venography (MRV) for the assessment of lumen stenosis in May-Thurner syndrome. METHODS: Twenty-nine patients underwent computed tomography venography (CTV) and high-resolution MRI-CUBE T1, and NCE MRV acquisitions. ANOVA and LSD tests were used to compare the stenosis rate and narrowest and distal diameters of the vessel lumen. RESULTS: There were no significant differences in the estimated stenosis rate between CTV, CUBE T1, and NCE MRV (p = 0.768). However, there were significant differences in the measured stenosis diameters of the left common iliac vein (LCIV), with CTV giving the largest mean diameter and CUBE had the smallest mean diameter (p < 0.05). The measured normal LCIV diameters did not significantly differ between MRV and CUBE (p = 0.075) but were significantly larger on CTV than on MRV and CUBE (p < 0.05). CONCLUSIONS: Compared with CTV, a combination of CUBE and MRV could provide an improved assessment of the degree of lumen stenosis in May-Thurner syndrome and demonstrate acute thrombosis. MRI underestimates the diameter of the vessel in comparison with CTV. MRI can be a substitute tool for Duplex ultrasound and CTV.

Gray matter volume reduction with different disease duration in trigeminal neuralgia.

PURPOSE: Structural magnetic resonance imaging is widely used to explore brain gray and white matter structure in trigeminal neuralgia (TN) but has yielded conflicting findings. This study investigated the relationship between disease duration as a clinical feature of TN and changes in brain structure. METHODS: We divided 49 TN patients into three groups (TN1-TN3) based on disease duration (TN1 = 1.1 ± 0.7 (0-2) years, TN2 = 4.8 ± 1.5 (3-7) years, TN3 = 15.1 ± 5.5 (10-30) years). We used voxel-based morphometry (VBM) to compare the gray matter volume (GMV) across groups and between TN patients and 18 matched healthy control subjects. RESULTS: The TN1 group showed reduced GMV of pain-related regions in the cerebellum; the TN2 group showed reduced GMV in the thalamus and the motor/sensory cortex; and the TN3 group showed reduced GMV in the emotional and reward circuits compared with healthy controls. Similar brain regions, including bilateral hippocampi, caudate, left insular cortex, and medial superior frontal cortex, were affected in TN2 and TN3 compared with TN1. CONCLUSION: Disease duration can explain differences in structural alterations-especially in pain-related brain regions-in TN. These results highlight the advanced structural neuroimaging method that are valuable tools to assess the trigeminal system in TN and may further our current understanding of TN pathology.

Primary synchronous colloid adenocarcinoma and squamous cell carcinoma in the same lung: A rare case report.

RATIONALE: Double primary lung cancer (DPLC) is a relatively rare type of lung cancers. According to whether the diagnosis interval between lesions is more than 6 months, it can be divided into synchronous DPLC (sDPLC) and metachronous DPLC (mDPLC). Here, we describe a case of sDPLC in which one of the components is a rare colloid adenocarcinoma (CA). PATIENT CONCERNS: A 69-year-old male was admitted to the hospital due to chest distress and shortness of breath for 1 year, getting worse in the last 15 days. DIAGNOSIS: Both HE staining and IHC supported the diagnosis of CA in the right lower lobe and moderately differentiated squamous cell carcinoma in the right upper lobe. INTERVENTIONS: The patient was treated with 3 cycles of adjuvant chemotherapy with pemetrexed and lobaplatin after the right upper lobectomy, wedge resection of the right lower lobe and lymph node dissection under video-assisted thoracoscope. OUTCOMES: Our plan was to follow him up with general physical examination, chest-abdomen CT and serum tumor markers every 6 months for 2 years. The patient was still alive until the last follow-up in November 2020. LESSONS: CA of the lung is a rare primary lung adenocarcinoma. The diagnosis should be based on the patient's clinical characteristics, imaging examination and pathological characteristics, and also need to be differentiated from other mucinous adenocarcinomas. Interestingly, our patient developed not only a CA in the right lower lobe, but also a moderately differentiated squamous cell carcinoma in the right upper lobe.

Radiologic features of Castleman's disease involving the renal sinus: A case report and review of the literature.

BACKGROUND: We present a rare case of plasma cell type of Castleman's disease (CD) involving only the right renal sinus in a 65-year-old woman with a duplex collecting system (DCS). CASE SUMMARY: The patient presented with a right renal sinus lesion after renal ultrasonography. Subsequent abdominal enhanced computed tomography (CT) and magnetic resonance imaging (MRI) of the kidneys showed DCS and a soft tissue mass with mild enhancement at the lower right renal sinus. The lesion was suspected to be a malignant renal pelvic carcinoma. Hence, the patient underwent a right radical nephrectomy. Histological examination revealed hyperplastic lymphoid follicles in the renal sinus. A detailed review of the patient's CT and MRI images and a literature review suggested that the lesion was hypointense on T2-weighted images and hyperintense on diffusion-weighted image manifestations, and showed mild enhancement, which distinguished the plasma cell type of CD from many other renal sinus lesions. Furthermore, peripelvic soft tissue masses with a smooth internal surface of the renal pelvis were on imaging findings, which suggests that the urinary tract epithelial system is invulnerable and can be used to differentiate the plasma cell type of CD from malignant lymphoma with a focally growth pattern to some extent. CONCLUSION: Preoperative diagnosis is often difficult in such cases, as plasma cell type of CD involving only the right kidney is exceedingly rare. However, heightened awareness of this disease entity and its radiographic presentations may alert one to consider this diagnosis.

Rare pancreatic carcinosarcoma in a patient with medical history of esophageal cancer: A case report and literature review.

RATIONALE: Pancreatic carcinosarcoma (PCS) is a very rare pancreatic cancer with an extremely poor prognosis. Interestingly, PCS can coexist with other metachronous malignant cancers. Here we report a case of PCS combined with esophageal cancer (EC). PATIENT CONCERNS: The patient was a 66-year-old man who presented with abdominal pain and progressive nausea. He had undergone esophagectomy for EC 5 years previously. DIAGNOSIS: Both EC and PCS were confirmed via postoperative pathological diagnosis. INTERVENTIONS: Owing to the patient's previous esophagectomy for EC, pancreaticoduodenectomy for the PCS could not be performed. Instead, he underwent cholecystectomy with bile duct-jejunum Roux-en-Y anastomosis and radioactive seed implantation. OUTCOMES: The patient is still alive for >1 year. LESSONS: To our knowledge, this is the first report of PCS combined with EC and thus of metachronous multiple primary carcinoma. A detailed literature review of the clinical and histologic features of PCS reveals important information about the epidemiology and biology of this rare disease.

[The intra-observer variability of volumetric measurement of pulmonary nodules: comparison of two-dimensional and three-dimensional method].

BACKGROUND AND OBJECTIVE: Software oriented three-dimensional (3D) volumetric measurement of pulmonary nodules has been feasible in the follow-up of indeterminate pulmonary nodules, however, its value need a further validation. The purpose of this study is to retrospectively analyze the chest CT data of patients with pulmonary nodules to compare the intra-observer variability of 3D and two-dimensional (2D) volumetric measurement. METHODS: Eighty-six pulmonary nodules in chest CT scans of 79 subjects were retrospectively analyzed. One radiologist measured the nodules twice with a 7 days interval using 2D and 3D methods respectively. The maximal diameter (X), the perpendicular diameter (Y) on maximal cross sectional area of the nodule and the caudo-cranial diameter (Z) were measured and the volume was calculated by two models: spherical and elliptical model. The 3D measurements were acquired with semi-automated software with manual adjustment on unsatisfied nodule segmentation. Logistic regression analysis was performed to evaluate the effect of nodule location and morphology on 3D nodule segmentation. ANOVA and correlation test were used to evaluate the difference among three methods. Bland-Altman method was applied to quantify the intra-observer variability. RESULTS: Software achieved satisfied segmentation for 86.4% nodules. The irregular and juxtavacular nodules have significantly high odds rations (OR) of unsatisfied segmentation as 4.0, 4.5, respectively. The volume measured by three method was significantly different (F=6.5, P=0.012), while the repeated measurements did not led to significant difference (F=1.813, P=0.182). The Spearman correlation efficient between 3D volume and 2D volume with sphere and ellipsoid model was 0.97, 0.88. The 95% limits of agreement of RD between two repeated measurements were -14%-11.6%, -37.7%-39.9% and -39.8%-45.8% for 3D, 2D with elliptical model and spherical model, respectively. CONCLUSIONS: The 3D volume measurement of pulmonary nodules is more repeatable than 2D volume measurement. Unsatisfied segmentation can occurred on a small number of nodules, especially for irregular and juxtavascular nodules. For these nodules, the measurement of 3D diameters is recommended.