Publications by authors named "ChunHong Hu"

Background: T1 mapping can quantify the longitudinal relaxation time of tissues. This study aimed to investigate the repeatability and reproducibility of T1 mapping radiomics features of lung cancer and the feasibility of T1 mapping-based radiomics model to predict its pathological types.

Methods: The chest T1 mapping images and clinical characteristics of 112 lung cancer patients (54 with adenocarcinoma and 58 with other types of lung cancer) were collected retrospectively.

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Intrahepatic circulation is essential for the repair of acute liver injury (ALI); however, very limited information is available concerning changes in the circulatory pathways during ALI. Therefore, multi-scale X-ray phase-contrast CT combined with three-dimensional (3D) visualization is used to quantitatively analyze the intrahepatic circulation pathway (including the hepatic vein, portal vein and hepatic sinusoid) in the mouse model via the intraperitoneal injection of carbon tetrachloride (CCl) from acute injury to recovery. The results demonstrate that the liver still preserves some vessel-like channels accessed to the central vein when the injury causes the severe collapse of the hepatic sinusoids that cannot be observed in two-dimensional pathologic slices.

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  • A multicenter randomized controlled trial in China investigated the impact of adding coronary CT-derived fractional flow reserve (CT-FFR) to routine coronary CT angiography (CCTA) on the need for invasive coronary angiography (ICA) and major adverse cardiovascular events (MACE) in patients with suspected coronary artery disease (CAD).
  • The study involved 5,297 participants, showing that the CCTA plus CT-FFR group had a lower ICA rate (10.0%) compared to the CCTA alone group (12.4%) over a 90-day follow-up.
  • While MACE rates were similar between groups, the CCTA plus CT-FFR approach resulted in fewer cardiac events after one year (0.5%
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  • SUZ12, a core component of the polycomb repressive complex 2 (PRC2), is found to be overexpressed in lung adenocarcinoma (LUAD), correlating with worse clinicopathological features and a poorer prognosis.
  • Experimental methods including immunohistochemical staining, qRT-PCR, and western blotting were used to assess SUZ12 expression and investigate its biological functions through both in vitro and in vivo experiments.
  • The study concludes that SUZ12 acts as an oncogene in LUAD by promoting cell growth and invasion while repressing apoptosis, possibly through direct interaction with the Bax promoter and influencing related signaling pathways.
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  • This study explores the effects of vestibular migraine (VM) on the structural organization of gray matter (GM) networks, highlighting a gap in existing research regarding GM network patterns in VM patients.
  • It involved 55 VM patients and 57 healthy controls, using structural MRI to analyze GM networks through similarity in regional volume distribution and various graph-theoretical metrics.
  • Results indicated that VM patients had increased clustering coefficients and local efficiency but decreased nodal degree in specific brain regions, with certain morphological connections showing potential correlations with clinical symptoms, achieving a classification accuracy of 77.68% between VM patients and healthy controls.
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Background And Purpose: Complications from endovascular thrombectomy (EVT) can negatively affect clinical outcomes, making the development of a more precise and objective prediction model essential. This research aimed to assess the effectiveness of radiomic features derived from pre-surgical CT scans in predicting the prognosis post- EVT in acute ischemic stroke patients.

Materials And Methods: This investigation included 336 acute ischemic stroke patients from two medical centers, spanning from March 2018 to March 2024.

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Objective: To evaluate clinical, pathological and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced magnetic resonance imaging (Gd-EOB-DTPA-enhanced MRI) findings of hepatocellular carcinoma (HCC) in non-cirrhotic livers and compare with HCC in cirrhotic livers.

Methods: This retrospective study included patients with pathologically confirmed HCC who underwent preoperative Gd-EOB-DTPA-enhanced MRI between January 2015 and October 2021. Propensity scores were utilized to match non-cirrhotic HCCs (NCHCCs) patients with cirrhotic HCCs (CHCCs) patients.

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Purpose: The clinical, pathological, gene expression, and prognosis of invasive mucinous adenocarcinoma (IMA) differ from those of invasive non-mucinous adenocarcinoma (INMA), but it is not easy to distinguish these two. This study aims to explore the value of combining CT-based radiomics features with clinic-radiological characteristics for preoperative diagnosis of solitary-type IMA and to establish an optimal diagnostic model.

Methods: In this retrospective study, a total of 220 patients were enrolled and randomly assigned to a training cohort (n = 154; 73 IMA and 81 INMA) and a testing cohort (n = 66; 31 IMA and 35 INMA).

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  • The study aimed to assess how well MRI-based radiomics can predict lymphovascular space invasion (LVSI) in women with endometrial carcinoma (EC).
  • A total of 160 patients were analyzed using different MRI models, including a radiomics model, a conventional MRI model, and a combined model that integrated both approaches.
  • The results showed that the combined model was the most effective in predicting LVSI, potentially improving clinical decision-making for patients with EC.
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  • There is a need for better second- and third-line treatments for advanced non-small-cell lung cancer (NSCLC) without driver mutations, prompting a clinical trial.
  • The trial involved 559 eligible patients with NSCLC who had failed first-line treatment and tested the effectiveness of docetaxel combined with either plinabulin or a placebo.
  • Results showed that the plinabulin group had a longer median overall survival (10.5 months) compared to the placebo group (9.4 months), with over 99% of patients experiencing treatment-related adverse events.
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  • SCT510 is a biosimilar to bevacizumab (Avastin) and was tested for its effectiveness, safety, and other factors in patients with advanced non-squamous non-small cell lung cancer (NSCLC).
  • The study included 567 eligible patients who were randomly assigned to receive either SCT510 or bevacizumab, showing similar objective response rates and no significant differences in other secondary endpoints regarding efficacy or safety.
  • Results indicate that SCT510 is equivalent to the reference product bevacizumab, which suggests it can be a viable alternative treatment option for patients with advanced NSCLC.
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Metal lithium negative electrodes are considered the "holy grail" of lithium battery negative electrodes due to their ultra-high energy density and low overpotential. However, the arbitrary growth of lithium dendrites during the cycling process hindered its industrialization process. We prepared porous carbon doped with zinc oxide nanoparticles (ZNC-MOF-5) by high-temperature carbonization of MOF-5, and coated ZNC-MOF-5 on the surface of commercial membranes (ZNC-MOF-5@PP).

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  • * Intermediate polysulfides can also damage battery capacity and corrode the negative electrode by shuttling between separators.
  • * A modified separator utilizing nano-molybdenum powder has been developed, effectively inhibiting dendrite growth and polysulfide shuttling, which extends the lifetime of lithium metal anodes and results in high battery capacity, achieving 802 mA h g at 0.5C and 614 mA h g after 200 cycles.
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  • Deep learning (DL) has the potential to enhance the diagnosis of cerebral aneurysms by utilizing large multicenter data sets for better segmentation and detection in CT angiography (CTA) images.
  • A retrospective collection of CTA images from eight hospitals was used to develop and test a DL model, with performance assessed against radiology reports using the Dice similarity coefficient and receiver operating characteristic curves.
  • The model demonstrated a high accuracy with a DSC of 0.87 for segmentation and 85.7% sensitivity in detecting aneurysms, performing comparably to traditional radiology assessments and processing scans relatively quickly in 1.76 minutes.
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Background: To develop and validate a nomogram model based on Gd-EOB-DTPA enhanced MRI for differentiation between hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) showing iso- or hyperintensity in the hepatobiliary phase (HBP).

Methods: A total of 75 patients with 49 HCCs and 26 FNHs randomly divided into a training cohort (n = 52: 34 HCC; 18 FNH) and an internal validation cohort (n = 23: 15 HCC; 8 FNH). A total of 37 patients (n = 37: 25 HCC; 12 FNH) acted as an external test cohort.

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Objectives: The Alberta Stroke Program Early CT Score (ASPECTS), a systematic method for assessing ischemic changes in acute ischemic stroke using non-contrast computed tomography (NCCT), is often interpreted relying on expert experience and can vary between readers. This study aimed to develop a clinically applicable automatic ASPECTS system employing deep learning (DL).

Methods: This study enrolled 1987 NCCT scans that were retrospectively collected from four centers between January 2017 and October 2021.

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To evaluate the efficacy of radiomics features extracted from preoperative high-resolution computed tomography (HRCT) scans in distinguishing benign and malignant pulmonary pure ground-glass nodules (pGGNs), a retrospective study of 395 patients from 2016 to 2020 was conducted. All nodules were randomly divided into the training and validation sets in the ratio of 7:3. Radiomics features were extracted using MaZda software (version 4.

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  • * A total of 165 patients were included, with 62 receiving PORT, and the results showed that PORT improved disease-free survival (DFS) and locoregional recurrence-free survival (LRFS) in the overall group and specifically in patients with EGFR wild-type.
  • * However, in patients with EGFR mutations, PORT did not lead to significantly better survival outcomes, suggesting that EGFR wild-type status may help identify patients who could benefit from PORT.
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  • A study called ANEAS compared two cancer treatments, aumolertinib and gefitinib, for patients with advanced lung cancer that had spread to the brain.
  • The results showed that aumolertinib worked much better, helping patients live longer without their brain cancer getting worse compared to gefitinib.
  • Overall, more patients treated with aumolertinib responded well to the treatment, showing an improvement in their condition compared to those who received gefitinib.
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  • Low-dose computed tomography (CT) reduces radiation exposure, but often results in severe streak artifacts in images due to sparse angle sampling.
  • This study proposes a new method combining kernel regression and adaptive orthogonal directional total variation (AODTV) to effectively eliminate these artifacts while retaining important edge details in the images.
  • Experimental results show significant improvements in image quality, with higher PSNR values compared to existing denoising algorithms, demonstrating the method's effectiveness in denoising CT images.
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Objective: In this study, a radiomics model was created based on High-Resolution Computed Tomography (HRCT) images to noninvasively predict whether the sub-centimeter pure Ground Glass Nodule (pGGN) is benign or malignant.

Methods: A total of 235 patients (251 sub-centimeter pGGNs) who underwent preoperative HRCT scans and had postoperative pathology results were retrospectively evaluated. The nodules were randomized in a 7:3 ratio to the training (n=175) and the validation cohort (n=76).

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  • The study aimed to assess how effectively radiomics analysis of dual-layer spectral-detector CT (DLSCT) iodine maps can predict tumor deposits (TDs) in patients with colorectal cancer prior to surgery.
  • It involved analyzing 264 confirmed CRC patients using various models, including clinical parameters and radiomics features, with the support vector machine (SVM) algorithm to evaluate prediction accuracy.
  • Results indicated that the combined model significantly outperformed both clinical and radiomics-only models in predicting TDs, suggesting its potential to aid in tailored treatment plans for CRC patients.
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Purpose: To develop thrombus radiomics models based on dual-energy CT (DECT) for predicting etiologic cause of stroke.

Methods: We retrospectively enrolled patients with occlusion of the middle cerebral artery who underwent computed tomography (NCCT) and DECT angiography (DECTA). 70 keV virtual monoenergetic images (simulate conventional 120kVp CTA images) and iodine overlay maps (IOM) were reconstructed for analysis.

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Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk of bleeding and infection. In the current study, we aimed to develop a radiomics model based on prostate magnetic resonance images to identify AS candidates non-invasively.

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Synopsis of recent research by authors named "ChunHong Hu"

  • - Chunhong Hu's recent research encompasses a diverse range of studies, focusing on imaging techniques and radiomics to enhance diagnostic accuracy and treatment efficacy in various health conditions, including liver injury, cancer, and migraines.
  • - A significant study utilized multiscale X-ray phase-contrast CT to visually and quantitatively analyze adaptive changes in intrahepatic circulation during acute liver injury, revealing important compensatory mechanisms that may not be apparent through traditional methods.
  • - Additionally, Hu's work on radiomics in lung adenocarcinoma and endometrial carcinoma sheds light on the potential for combining imaging features with clinical data to improve preoperative differentiation and predict outcomes, showcasing the evolving role of artificial intelligence in radiology.