This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. ...95 patients with confirmed COVID-19 and a total of 465 serial chest CT scans were involved, including 61 moderate patients (moderate group, 319 chest CT scans) and 34 severe patients (severe group, 146 chest CT scans). Conventional CT scoring and deep learning-based quantification were performed for all chest CT scans for two study goals: (1) Correlation between these two estimations; (2) Exploring the dynamic patterns using these two estimations between moderate and severe groups. The Spearman's correlation coefficient between these two estimation methods was 0.920 (p < 0.001). predicted pulmonary involvement (CT score and percent of pulmonary lesions calculated using deep learning-based quantification) increased more rapidly and reached a higher peak on 23rd days from symptom onset in severe group, which reached a peak on 18th days in moderate group with faster absorption of the lesions. The deep learning-based quantification for COVID-19 showed a good correlation with the conventional CT scoring and demonstrated a potential benefit in the estimation of disease severities of COVID-19.
This study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 and 20 February 2020, the ...records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divided into survivor (83/124) and non-survivor (41/124) groups. Chest CT findings were qualitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between two groups using curve estimations. On admission, significantly more bilateral (97.6% vs. 73.5%, p = 0.001) and diffuse lesions (39.0% vs. 8.4%, p < 0.001) with higher total CT score (median 10 vs. 4, p < 0.001) were observed in non-survivor group compared with survivor group. Besides, crazy-paving pattern was more predominant in non-survivor group than survivor group (39.0% vs. 12.0%, p < 0.001). From the prediction of curve estimation, in survivor group total CT score increased in the first 20 days reaching a peak of 6 points and then gradually decreased for more than other 40 days (R
= 0.545, p < 0.001). In non-survivor group, total CT score rapidly increased over 10 points in the first 10 days and gradually increased afterwards until ARDS occurred with following death events (R
= 0.711, p < 0.001). In conclusion, persistent progression with predominant crazy-paving pattern was the major manifestation of COVID-19 in non-survivors. Understanding this CT feature could help the clinical physician to predict the prognosis of the patients.
Immunotherapies targeting programmed cell death 1 (PD-1) and programmed death-ligand 1 (PD-L1) have been approved for gastric cancer (GC) patients. However, a large proportion of patients with ...T-cell-inflamed tumor microenvironment do not respond to the PD-1/PD-L1 blockade. The stromal component of the tumor microenvironment has been associated with immunotherapy. This study aims to explore the clinical significance of the non-immune cells in the tumor microenvironment and their potential as biomarkers for immunotherapy.
A total of 383 patients with GC from the Cancer Genome Atlas (TCGA) cohort, 300 patients with GC from the GSE62254 cohort in Gene Expression Omnibus (GEO) were included in the study. A stromal score was generated using the ESTIMATE algorithm, and the likelihood of response to PD-1/PD-L1 immunotherapy of GC patients was predicted using the TIDE algorithm. The prognostic value of the stromal score from GC cases was evaluated by the Kaplan-Meier method and Cox regression analysis. Gene set enrichment analysis (GSEA) was also conducted.
The stromal score showed significant differences in different molecular subtypes and T stages. Multivariate analyses further confirmed that the stromal score was an independent indicator of overall survival (OS) in the two cohorts. The low stromal score group showed higher tumor mutation burden (TMB) and micro-satellite instability (MSI), and was more sensitive to immune checkpoint inhibitor according to the TIDE algorithm. Activation of the transforming growth factor and epithelial-mesenchymal transition were observed in the high stromal score subtype, which is associated with T-cell suppression, and may be responsible for resistance to PD-1/PD-L1 therapy. BPIFB2 was confirmed as a hub gene relevant to immunotherapy.
The stromal score was associated with cancer progression and molecular subtypes, and may serve as a novel biomarker for predicting the prognosis and response to immunotherapy in patients with GC.
Transarterial chemoembolization (TACE)‐induced hypoxia can trigger residual liver cancer cells to present a more aggressive phenotype associated with chemoresistance, but the underlying mechanisms ...are still unknown. In this study, the human liver cancer cell line HepG2 was pre‐cultured in different oxygen environments to examine the possible mechanisms of hypoxia‐induced doxorubicin resistance. Our study showed that HepG2 cells pre‐cultured in a chronic intermittent hypoxic environment exhibited significant resistance to doxorubicin, evidenced by increased intracellular doxorubicin efflux, relatively higher cell proliferation, lower apoptosis, and decreased DNA damage. These changes were accompanied by high levels of NRF2 and ABCB1 under conditions of both chronic and acute hypoxia and PARP1 gene expression only under conditions of chronic hypoxia. SiRNA‐mediated silencing of NRF2 gene expression downregulated the expression of ABCB1 and increased the intracellular doxorubicin accumulation and cell apoptosis both in acute and chronic hypoxic HepG2 cells. Moreover, silencing of PARP1 gene expression increased the doxorubicin‐induced DNA damage and cell apoptosis in chronic hypoxic cells. On the basis of these findings, we concluded that NRF2/ABCB1‐mediated efflux and PARP1‐mediated DNA repair contribute to doxorubicin resistance in chronic hypoxic HepG2 cells.
Purpose
To evaluate the diagnostic accuracy of preoperative imaging in defining inferior vena cava (IVC) obstruction characteristics, in identifying the presence of a thrombus and dangerous venous ...collateral. The other goal is to explore the clinical implication of these data in the designing the treatment strategy in Budd-Chiari patients.
Methods
This study included 112 patients with IVC obstruction who underwent endovascular treatment between July 2009 and June 2019. Two radiologists independently assessed MSCT and/or MRI imaging data with a 5-point scale to evaluate the diagnostic accuracies relating to obstructive characteristics, dangerous collateral vessels, and thrombus within IVC.
Results
The diagnostic sensitivities for obstructive characteristics, as determined by the two independent assessors, ranged from 81.25 to 100%. The areas under the receiver operating characteristic curve (ROC) for judging thrombus ranged from 0.87 to 0.975 for the two assessors. Inter-assessor agreement was substantial or excellent with regards to diagnostic accuracy (
κ
= 0.745–0.927). Twelve cases involving dangerous collateral vessels were identified in the MSCT group of 82 patients (
κ
= 1); six were identified by digital subtraction venography (DSV) imaging. Eight cases involving dangerous collateral vessels were reported in the MRI group of 32 patients (
κ
= 1); three were identified by DSV imaging.
Conclusion
Preoperative MSCT and MRI can accurately reveal the obstructive characteristics and risk factors of patients with IVC obstruction and can therefore be used to guide interventional planning so as to minimize complications.
Graphical abstract
Cancer metabolism has emerged as a pivotal area of research recently. The ability to visualize and comprehend the metabolic processes of cancer holds immense clinical value, particularly in the ...diagnosis of malignant tumors and the assessment of treatment responses. Deuterium Metabolic Imaging (DMI), as a robust, simple, and versatile MR spectroscopic imaging tool, demonstrates promise in tumor diagnosis and treatment efficacy assessment. This review explored the latest developments and applications of DMI in oncology across various tumor metabolic axes, with a specific emphasis on its potential for clinical translation. DMI offers invaluable insights into tumor biology, treatment responses, and prognostic outcomes. Notably, DMI can identify early responses to immunotherapy, a prominent area of current research interest. In conclusion, DMI harbors the potential to evolve into a convenient and efficient imaging technique in clinical practice, thereby advancing precision medicine and improving the diagnosis and evaluation of cancer treatments.
Chemotherapy with anthracyclines can cause cardiotoxicity, possibly leading to stopping treatment in some cancer patients. In cardio-oncology research, preventing and minimizing anthracycline-induced ...cardiotoxicity (AIC) is a hot issue. For the treatment of AIC, calycosin (CA), an isoflavone component in astragali radix (AR), has become a research focus. However, the elaborate mechanisms of calycosin treating AIC remain to be unrevealed.
To explore the effects of CA on AIC through multiple dimensions concerning network pharmacology, molecular docking, and experimental evaluations.
The study evaluated calycosin's potential targets and mechanisms for treating AIC using network pharmacology and molecular docking. The candidate genes/targets of CA and AIC were screened using the online-available database. Protein-protein interactions (PPI) between the common targets were constructed using the STRING platform, and the results were then visualized using Cytoscape. Molecular docking was used to evaluate the strength of the binding force between CA and the common targets. The possible pharmacological mechanisms of CA were explained by pathway enrichment and GSEA. Subsequently, the candidate targets were identified
experiments.
Network pharmacology effectively discovered the CA's multitarget intervention in AIC, including TNF, ABCC1, TOP2A, ABCB1, and XDH. CA binds to the ATP-binding cassette subfamily B member 1(ABCB1) had the highest binding energy (-7.5 kcal/mol) according to the molecular docking analysis and was selected and visualized for subsequent analysis. In vitro experiments showed that ABCB1 exhibited significant time-curve changes under different doses of doxorubicin (DOX) compared with DMSO control experiments. The anti-AIC pharmacological mechanism of CA were revealed by highlighting the biological processes of oxidative stress (OR) and inflammation.
We employed a practicable bioinformatics method to connect network and molecular docking to determine the calycosin's therapeutic mechanism against AIC and identified some bioinformatics results in
experiments. The results presented show that CA may represent an encouraging treatment for AIC.
Dual-energy CT has shown promising results in determining tumor characteristics and treatment effectiveness through spectral data by assessing normalized iodine concentration (nIC), normalized ...effective atomic number (nZeff), normalized electron density (nED), and extracellular volume (ECV). This study explores the value of quantitative parameters in contrast-enhanced dual-layer spectral detector CT (SDCT) as a potential tool for detecting lymph node activity in lymphoma patients. A retrospective analysis of 55 lymphoma patients with 289 lymph nodes, assessed through
FDG-PET/CT and the Deauville five-point scale, revealed significantly higher values of nIC, nZeff, nED, and ECV in active lymph nodes compared to inactive ones (
< 0.001). Generalized linear mixed models showed statistically significant fixed-effect parameters for nIC, nZeff, and ECV (
< 0.05). The area under the receiver operating characteristic curve (AUROC) values of nIC, nZeff, and ECV reached 0.822, 0.845, and 0.811 for diagnosing lymph node activity. In conclusion, the use of g nIC, nZeff, and ECV as alternative imaging biomarkers to PET/CT for identifying lymph node activity in lymphoma holds potential as a reliable diagnostic tool that can guide treatment decisions.
To analyze causes of acute nonvariceal gastrointestinal bleeding (GIB) with negative digital subtraction angiography (DSA) results.
The clinical and follow-up data of 133 patients - recruited between ...February 2008 and November 2016 - with acute nonvariceal GIB and negative DSA results were included in this study. DSA results, diagnoses, and clinical outcomes were recorded.
The DSA results were negative in all 133 patients. Of the total, 55 patients (41.4%) chose to undergo surgery and 78 (58.6%) opted for conservative treatment. Within 30 days, there was no significant difference in the rebleeding or mortality rates between the two groups (
< .05). Of all 133 patients, 76 (57.1%) had upper GIB and 57 (42.9%) had lower GIB; within 30 days, the rebleeding rate in the upper GIB group (44.7%, 34/76) was significantly higher than that in the lower GIB group (26.3%, 15/57). There was no significant statistical difference (
< .05) within 30 days in the mortality rates between the two groups.Among patients with upper GIB, 26 (34.2%, 26/76) opted to undergo surgery and 50 (65.8%, 50/76) chose conservative treatment; within 30 days, the rebleeding rate in the group that chose surgery (61.5%, 16/26) was higher than that in the conservative treatment group (36%, 18/50). There was no significant difference (
< .05) within 30 days in the mortality rate between the two groups.Among the patients with lower GIB, 29 (50.9%, 29/57) chose to undergo surgery and 28 (49.1%, 28/57) opted for conservative treatment. Within 30 days, the rebleeding rate in the surgery group (13.8%, 4/29) was lower than that in conservative treatment group (39.3%, 11/28). There was no significant difference (
< .05) within 30 days in the mortality rate between the two groups.Sixteen patients underwent prophylactic arterial embolization; in 6 of these, bleeding was stopped for 30 days. DSA was then repeated in these 16 patients after a median interval of 1 day, and a positive bleeding site was found in 9 of the 16. Causes of bleeding were found in 111 patients by surgery or endoscopy, whereas the causes remained unknown in 22 patients.
Upper GIB with negative DSA results was stopped by conservative treatment, whereas lower GIB required surgery to detect the culprit bleeding site. Rare causes of GIB should be considered and appropriate management selected in a timely manner in order to detect unusual causes.
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