Publications by authors named "Xilong Mei"

Percutaneous transthoracic puncture of small pulmonary nodules is technically challenging. We developed a novel electromagnetic navigation puncture system for the puncture of sub-centimeter lung nodules by combining multiple deep learning models with electromagnetic and spatial localization technologies. We compared the performance of DL-EMNS and conventional CT-guided methods in percutaneous lung punctures using phantom and animal models.

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  • - Epicardial adipose tissue (EAT) is important in cardiovascular disease progression, but measuring its volume manually is tough and prone to errors.
  • - This study introduces a new deep learning method for EAT quantification using coronary computed tomography angiography (CCTA) that combines data-driven techniques with specific anatomical information.
  • - The automated method showed strong agreement with traditional manual measurements, achieving high accuracy for both 2D slices and 3D volumes, suggesting its potential value in clinical settings.
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  • Traditional methods for assessing the status of axillary lymph nodes (ALNs) in breast cancer patients are often inaccurate, leading researchers to explore radiomic and 3D visualization technologies for improved predictions.
  • The study analyzed data from 350 breast cancer patients who underwent CT scans and lymph node surgeries, creating a 3D atlas and using K-means unsupervised learning to develop a predictive model for lymph node metastasis.
  • The model demonstrated a strong predictive capability, with an area under the curve of 0.847 and high classification rates (around 86-87%) for both clinically negative and positive cohorts, confirming its potential as a new assessment method.
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We present herein a rare case of large vascular and cardiac metastases of low-grade endometrial stromal sarcoma (LG-ESS) in a female patient, which occurred after misdiagnosis of endometrial stromal nodule (ESN) as submucosal leiomyoma 7 years ago. Preoperative three-dimensional CT reconstruction was used to assess the extent of the lesion. The patient underwent radical resection: thrombectomy and total hysterectomy with bilateral salpingo-oophorectomy without establishing the cardiopulmonary bypass.

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Objectives: Anomalous left coronary artery from the pulmonary artery (ALCAPA) syndrome is a rare congenital coronary artery malformation with a high rate of clinical missed diagnosis and misdiagnosis. At present, there is a lack of reports on the clinical manifestations of ALCAPA and the imaging features of coronary computed tomography angiography (CTA). This study aims to summarize the clinical characteristics and coronary CTA imaging features of ALCAPA to improve the clinical diagnosis and treatment.

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Distinguishing between inflammatory and fibrotic lesions drastically influences treatment decision-making regarding Crohn's disease. However, it is challenging to distinguish these two phenotypes before surgery. This study investigates the diagnostic yield of shear-wave elastography and computed tomography enterography to distinguish intestinal phenotypes in Crohn's disease.

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Background: The anatomy of the right posterior portal vein (RPPV) plays an important role in planning hepatic resection, living transplantation and interventional radiological procedures, yet the incidence of variations of RPPV without a common trunk in Chinese persons is still unclear. Therefore, we conducted this study and discussed its clinical implications.

Methods: A retrospective analysis of multidetector computed tomography (MDCT) scans was performed in 1,933 patients with various abdominal pathologies between September 28, 2018 through May 23, 2019.

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Objectives: To investigate the potential of dual-energy computed tomography (DECT) parameters in identifying metastatic cervical lymph nodes in oral squamous cell carcinoma (OSCC) patients and to explore the relationships between DECT and pathological features.

Methods: Clinical and DECT data were collected from patients who underwent radical resection of OSCC and cervical lymph node dissection between November 2019 and June 2021. Microvascular density was assessed using the Weidner counting method.

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The status of axillary lymph node metastases determines the treatment and overall survival of breast cancer (BC) patients. Three-dimensional (3D) assessment methods have advantages for spatial localization and are more responsive to morphological changes in lymph nodes than two-dimensional (2D) assessment methods, and we speculate that methods developed using 3D reconstruction systems have high diagnostic efficacy. This exploratory study included 43 patients with histologically confirmed BC diagnosed at Second Xiangya Hospital of Central South University between July 2017 and August 2020, all of whom underwent preoperative CT scans.

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Anti-melanoma differentiation-associated protein 5 (MDA5) positive dermatomyositis (MDA5DM) patients have poor outcomes due to rapidly progressive interstitial lung disease (ILD). The accurate assessment of lung involvement is an urgent focus of research. A computer-aided lung interstitial image analysis technology has been developed, and a quantitative indicator named effective lung ventilation area ratio (ELVAR) that calculates the proportion of the area outside the lung interstitium in lung tissue has been established.

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Background: The increase in the incidence of pulmonary nodules has made computed tomography (CT) screening a requirement for diagnosis and treatment. Small pulmonary nodule detection during video-assisted thoracoscopic surgery (VATS) or thoracotomy is frequently challenging; however, accurate and efficient localization of nodules is critical for precise resection. Herein, we introduce and evaluate the feasibility and safety of a novel technique for preoperative pulmonary nodule localization.

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To explore the value of the third generation dual-source computed tomography (CT) convolution kernel in display of pulmonary ground-glass nodule (GGN) in transverse image reconstruction.
 Methods: A total of 52 lung adenocarcinoma patients with lung CT data were selected from February 2018 to January 2019 for this study. The pulmonary CT data were reconstructed by convolutional nucleus B157, Br54, and Br49.

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To assess the value of noise-optimized virtual monoenergetic imaging (VMI+) reconstruction technique on objective and subjective image quality in patients with inflammatory bowel disease (IBD) undergoing abdominal dual-energy computed tomography (DECT).
 Methods: Datasets from 32 patients (22 men, 10 women) with IBD, who underwent abdominal DECT, were reconstructed by using the standard linearly blended (M_0.6), traditional monoenergetic (VMI) and VMI+ algorithms in 10-keV intervals from 40-100 keV.

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Objective: Although there is some evidence that methamphetamine (MA) abuse may play a causative role in the development of schizophrenia, studies directly linking these 2 are rare.

Methods: In our study, the effect of MA abuse on the development of schizophrenia was investigated in 15 MA abusers who are offspring of patients with schizophrenia and 15 siblings of MA abusers without a history of drug abuse. Cognitive deficits and resting-state brain function were evaluated in all participants.

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Objective: To study the relationship of the incidence of bronchial dysplasia (bronchial anomalous origin and bronchial stenosis) with congenital heart disease.

Methods: A total of 185 children with congenital heart disease or bronchial dysplasia were enrolled. Bronchial dysplasia was identified by the 64-MSCT conventional scanning or thin slice scanning with three-dimensional reconstruction.

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