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Article ; Online: A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans.

Jiang, Wujun / Zhi, Lijia / Zhang, Shaomin / Zhou, Tao

IEEE journal of biomedical and health informatics

2024 Volume 28, Issue 3, Page(s) 1540–1551

Abstract: Lung cancer is one of the deadliest cancers globally, and early diagnosis is crucial for patient survival. Pulmonary nodules are the main manifestation of early lung cancer, usually assessed using CT scans. Nowadays, computer-aided diagnostic systems are ...

Abstract	Lung cancer is one of the deadliest cancers globally, and early diagnosis is crucial for patient survival. Pulmonary nodules are the main manifestation of early lung cancer, usually assessed using CT scans. Nowadays, computer-aided diagnostic systems are widely used to assist physicians in disease diagnosis. The accurate segmentation of pulmonary nodules is affected by internal heterogeneity and external data factors. In order to overcome the segmentation challenges of subtle, mixed, adhesion-type, benign, and uncertain categories of nodules, a new mixed manual feature network that enhances sensitivity and accuracy is proposed. This method integrates feature information through a dual-branch network framework and multi-dimensional fusion module. By training and validating with multiple data sources and different data qualities, our method demonstrates leading performance on the LUNA16, Multi-thickness Slice Image dataset, LIDC, and UniToChest, with Dice similarity coefficients reaching 86.89%, 75.72%, 84.12%, and 80.74% respectively, surpassing most current methods for pulmonary nodule segmentation. Our method further improved the accuracy, reliability, and stability of lung nodule segmentation tasks even on challenging CT scans.
MeSH term(s)	Humans ; Reproducibility of Results ; Tomography, X-Ray Computed/methods ; Lung Neoplasms/diagnostic imaging ; Multiple Pulmonary Nodules/diagnostic imaging ; Lung/diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted ; Solitary Pulmonary Nodule/diagnostic imaging
Language	English
Publishing date	2024-03-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2024.3355008
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Article ; Online: Deep neural network pulmonary nodule segmentation methods for CT images: Literature review and experimental comparisons.

Zhi, Lijia / Jiang, Wujun / Zhang, Shaomin / Zhou, Tao

Computers in biology and medicine

2023 Volume 164, Page(s) 107321

Abstract: Automatic and accurate segmentation of pulmonary nodules in CT images can help physicians perform more accurate quantitative analysis, diagnose diseases, and improve patient survival. In recent years, with the development of deep learning technology, ... ...

Abstract	Automatic and accurate segmentation of pulmonary nodules in CT images can help physicians perform more accurate quantitative analysis, diagnose diseases, and improve patient survival. In recent years, with the development of deep learning technology, pulmonary nodule segmentation methods based on deep neural networks have gradually replaced traditional segmentation methods. This paper reviews the recent pulmonary nodule segmentation algorithms based on deep neural networks. First, the heterogeneity of pulmonary nodules, the interpretability of segmentation results, and external environmental factors are discussed, and then the open-source 2D and 3D models in medical segmentation tasks in recent years are applied to the Lung Image Database Consortium and Image Database Resource Initiative (LIDC) and Lung Nodule Analysis 16 (Luna16) datasets for comparison, and the visual diagnostic features marked by radiologists are evaluated one by one. According to the analysis of the experimental data, the following conclusions are drawn: (1) In the pulmonary nodule segmentation task, the performance of the 2D segmentation models DSC is generally better than that of the 3D segmentation models. (2) 'Subtlety', 'Sphericity', 'Margin', 'Texture', and 'Size' have more influence on pulmonary nodule segmentation, while 'Lobulation', 'Spiculation', and 'Benign and Malignant' features have less influence on pulmonary nodule segmentation. (3) Higher accuracy in pulmonary nodule segmentation can be achieved based on better-quality CT images. (4) Good contextual information acquisition and attention mechanism design positively affect pulmonary nodule segmentation.
MeSH term(s)	Humans ; Neural Networks, Computer ; Algorithms ; Databases, Factual ; Radiologists ; Tomography, X-Ray Computed
Language	English
Publishing date	2023-08-09
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2023.107321
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Article ; Online: Anti-synthase syndrome associated with SARS-Cov-2 infection.

Chen, Xing-Yue / Chen, Jun / Zhi, Li-Jia / Long, Kun-Lan / Gao, Pei-Yang

BMC pulmonary medicine

2024 Volume 24, Issue 1, Page(s) 179

Abstract: Background: Anti-synthetase syndrome (AS) is a rare autoimmune idiopathic inflammatory myopathy (IIM) with diverse manifestations, including arthritis, interstitial lung disease (ILD), Raynaud's phenomenon, unexplained persistent fever, and mechanic's ... ...

Abstract	Background: Anti-synthetase syndrome (AS) is a rare autoimmune idiopathic inflammatory myopathy (IIM) with diverse manifestations, including arthritis, interstitial lung disease (ILD), Raynaud's phenomenon, unexplained persistent fever, and mechanic's hands. Case presentation: We present the case of a 72-year-old woman, previously healthy, who was admitted to our hospital for treatment of cough and rapid breathing. The patient had elevated white blood cells and C-reactive protein, and tested negative for severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2). She was initially diagnosed with community-acquired pneumonia and received tamoxifen for anti-infection treatment, but her dystonia worsened. She eventually required non-invasive ventilator support, tested positive for SARS-Cov-2 again, and started antiviral therapy, corticosteroids to reduce alveolar effusion, anticoagulation, and other treatments. However, her condition continued to deteriorate, with the lowest oxygenation index reaching only 80mmHg. Ultimately, she underwent tracheal intubation and mechanical ventilation. Chest CT revealed rapid progressive interstitial changes in her lungs, and her hands showed noticeable fraternization changes. At this point, we suspected that the novel coronavirus infection might be associated with autoimmune diseases. The patient's autoimmune antibody spectrum showed positive results for anti-recombinant RO-52 antibody and myositis-specific antibody anti-alanyl tRNA synthetase (anti-PL-12). The patient was treated with dexamethasone sodium phosphate for anti-inflammatory and anti-fibrotic effects. After successful extubation, the patient was discharged with only oral prednisone tablets at a dose of 30 mg. Conclusions: This case presents an early diagnosis and successful treatment of anti-synthetase syndrome combined with SARS-Cov-2 infection, emphasizing the importance of comprehensive physical examination. Additionally, it highlights the rapid progression of interstitial lung disease under SARS-Cov-2 infection, which is often difficult to distinguish on imaging. In cases where treatment for SARS-Cov-2 infection is ineffective, early screening for autoimmune diseases is recommended. As there is currently no standardized method for treating AS-ILD, the successful treatment of this case provides a reference for clinical research on anti-synthetase syndrome in the later stage.
MeSH term(s)	Humans ; Female ; Aged ; COVID-19/complications ; SARS-CoV-2 ; Myositis/complications ; Myositis/diagnosis ; Myositis/drug therapy ; Lung Diseases, Interstitial/complications ; Lung Diseases, Interstitial/diagnosis ; Lung Diseases, Interstitial/drug therapy ; Autoimmune Diseases/complications ; Autoantibodies
Chemical Substances	Autoantibodies
Language	English
Publishing date	2024-04-15
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	2059871-3
ISSN	1471-2466 ; 1471-2466
ISSN (online)	1471-2466
ISSN	1471-2466
DOI	10.1186/s12890-024-02966-2
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Article ; Online: Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors.

Zhou, Tao / Liu, Shan / Lu, Huiling / Bai, Jing / Zhi, Lijia / Shi, Qiu

Computer methods and programs in biomedicine

2023 Volume 232, Page(s) 107445

Abstract: Background and objective: The response evaluation of chemoradiotherapy is an important method of precision treatment for patients with malignant lung tumors. In view of the existing evaluation criteria for chemoradiotherapy, it is difficult to ... ...

Abstract	Background and objective: The response evaluation of chemoradiotherapy is an important method of precision treatment for patients with malignant lung tumors. In view of the existing evaluation criteria for chemoradiotherapy, it is difficult to synthesize the geometric and shape characteristics of lung tumors. In the present, the response evaluation of chemoradiotherapy is limited. Therefore, this paper constructs a response evaluation system of chemoradiotherapy based on PET/CT images. Methods: There are two parts in the system: a nested multi-scale fusion model and an attribute sets for the Response evaluation of chemoradiotherapy (AS-REC). In the first part, a new nested multi-scale transform method, i.e., latent low-rank representation (LATLRR) and non-subsampled contourlet transform (NSCT), is proposed. Then, the average gradient self-adaptive weighting is used for the low-frequency fusion rule, and the regional energy fusion rule is used for the high-frequency fusion rule. Further, the low-rank part fusion image is obtained by the inverse NSCT, and the fusion image is generated by adding the low-rank part fusion image and the significant part fusion image. In the second part, AS-REC is constructed to evaluate the growth direction of the tumor, the degree of tumor metabolic activity, and the tumor growth state. Results: the numerical results clearly show that the performance of our proposed method outperforms in comparison with several existing methods, among them, the value of Qabf increased by up to 69%. Conclusions: Through the experiment of three reexamination patients, the effectiveness of the evaluation system of radiotherapy and chemotherapy are proved.
MeSH term(s)	Humans ; Algorithms ; Positron Emission Tomography Computed Tomography ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/radiotherapy ; Chemoradiotherapy
Language	English
Publishing date	2023-02-25
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	632564-6
ISSN	1872-7565 ; 0169-2607
ISSN (online)	1872-7565
ISSN	0169-2607
DOI	10.1016/j.cmpb.2023.107445
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Article ; Online: Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network.

Zhang, Shaomin / Zhi, Lijia / Zhou, Tao

BioMed research international

2020 Volume 2020, Page(s) 6687733

Abstract: Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in ... ...

Abstract	Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in CBMIR systems. Features play a vital role in the accuracy and speed of the search process. In this paper, we propose a deep convolutional neural network- (CNN-) based framework to learn concise feature vector for medical image retrieval. The medical images are decomposed into five components using empirical mode decomposition (EMD). The deep CNN is trained in a supervised way with multicomponent input, and the learned features are used to retrieve medical images. The IRMA dataset, containing 11,000 X-ray images, 116 classes, is used to validate the proposed method. We achieve a total IRMA error of 43.21 and a mean average precision of 0.86 for retrieval task and IRMA error of 68.48 and F1 measure of 0.66 on classification task, which is the best result compared with existing literature for this dataset.
MeSH term(s)	Algorithms ; Databases, Factual ; Deep Learning ; Diagnostic Imaging/methods ; Humans ; Image Interpretation, Computer-Assisted/methods ; Information Storage and Retrieval/methods ; Neural Networks, Computer ; Reproducibility of Results
Language	English
Publishing date	2020-12-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2020/6687733
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Article: Fusu mixture alleviates inflammatory reactions in lipopolysaccharide-induced acute respiratory distress syndrome mice via regulation of surfactant-associated protein C, aquaporin 5, and Notch1.

Zhang, Song / Yue, Yan / Liu, Jing / Zhi, Lijia / Zhang, Li / Zhang, Kaichen / Ding, Peng / Gao, Peiyang / Long, Kunlan

Journal of thoracic disease

2023 Volume 15, Issue 6, Page(s) 3409–3420

Abstract: Background: Acute respiratory distress syndrome (ARDS) is a common life-threatening critical illness with high mortality. Fusu mixture (FSM) can improve the mechanical ventilation in ARDS patients. However, the detailed pharmacological mechanisms and ... ...

Abstract	Background: Acute respiratory distress syndrome (ARDS) is a common life-threatening critical illness with high mortality. Fusu mixture (FSM) can improve the mechanical ventilation in ARDS patients. However, the detailed pharmacological mechanisms and active substances of FSM are still unclear. This study aimed to explore the potential pharmacological mechanisms of FSM for treating ARDS and its chemical compositions. Methods: A lipopolysaccharide (LPS)-induced ARDS mouse model was established, and the mice subsequently received FSM (50 mg/kg) orally for 5 days. Then, the blood samples and lung tissues were collected. Enzyme-linked immunosorbent assay (ELISA) was used to determine the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in serum, and histopathology examinations were applied to analyze the inflammatory response of lung tissues in ARDS mice. In addition, protein expressions of aquaporin 5 (AQP-5), surfactant-associated protein C (SP-C), and Notch1 were detected by western blot assays and immunohistochemical (IHC) examination. In addition, the chemical compositions of FSM were analyzed by high performance liquid chromatography (HPLC), using standard reference agents. Results: After LPS induction, the serum levels of IL-6 and TNF-α in ARDS mice were significantly increased (P<0.01, Conclusions: Collectively, it is suggested that FSM alleviates inflammatory reactions and promotes the proliferation of alveolar epithelial cells in LPS-induced ARDS mice via regulation of SP-C, AQP-5, and Notch1 in lung tissues.
Language	English
Publishing date	2023-06-16
Publishing country	China
Document type	Journal Article
ZDB-ID	2573571-8
ISSN	2077-6624 ; 2072-1439
ISSN (online)	2077-6624
ISSN	2072-1439
DOI	10.21037/jtd-23-367
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Article ; Online: Impact of bronchoscopic thermal vapor ablation on lung volume reduction in patients with emphysema: a meta-analysis.

Zhi, Lijia / Liao, Liping / Wu, Zhi / Wang, Tiezhu / Ye, Yuming / Li, Hao / Lin, Li / Qi, Jia-Chao / Zhang, Liangji

BMC pulmonary medicine

2023 Volume 23, Issue 1, Page(s) 405

Abstract: Background: Bronchoscopic lung volume reduction (LVR) could significantly improve pulmonary function and quality of life in patients with emphysema. We aimed to assess the efficacy and safety of bronchoscopic thermal vapor ablation (BTVA) on LVR in ... ...

Abstract	Background: Bronchoscopic lung volume reduction (LVR) could significantly improve pulmonary function and quality of life in patients with emphysema. We aimed to assess the efficacy and safety of bronchoscopic thermal vapor ablation (BTVA) on LVR in patients with emphysema at different stage. Methods: A systematic search of database including PubMed, Embase and Cochrane library was conducted to determine all the studies about bronchoscopic thermal vapor ablation published through Dec 1, 2022. Related searching terms were "lung volume reduction", "bronchoscopic thermal vapor ablation", "bronchial thermal vapor ablation" "BTVA" and "emphysema", "efficacy" and"safety". We used standardized mean difference (SMD) to analyze the summary estimates for BTVA therapy. Results: We retrieved 30 records through database search, and 4 trials were selected for meta-analysis, including 112 patients with emphysema. Meta-analysis of the pooled effect showed that levels of forced expiratory volume in 1 s (FEV1), residual volume (RV), total lung capacity (TLC), 6-min walk distance (6MWD) and St George's Respiratory Questionnaire (SGRQ) were significantly improved in patients with emphysema following BTVA treatment between 6 months vs. baseline. Additionally, no significant changes in FEV1, RV, TLC and SGRQ occurred from 3 to 6 months of follow-up except for 6MWD. The magnitude of benefit was higher at 3 months compared to 6 months. The most common complications at 6 months were treatment-related chronic obstructive pulmonary disease (COPD) exacerbations (RR: 12.49; 95% CI: 3.06 to 50.99; p < 0.001) and pneumonia (RR: 9.49; 95% CI: 2.27 to 39.69; p < 0.001). Conclusions: Our meta-analysis provided clinically relevant information about the impact and safety of BTVA on predominantly upper lobe emphysema. Particularly, short-term significant improvement of lung function and quality of life occurred especially within the initial 3 months. Further large-scale, well-designed long-term interventional investigations are needed to clarify this issue.
MeSH term(s)	Humans ; Pneumonectomy/adverse effects ; Quality of Life ; Ablation Techniques/adverse effects ; Pulmonary Emphysema ; Emphysema ; Forced Expiratory Volume ; Bronchoscopy/adverse effects ; Treatment Outcome
Language	English
Publishing date	2023-10-26
Publishing country	England
Document type	Meta-Analysis ; Journal Article
ZDB-ID	2059871-3
ISSN	1471-2466 ; 1471-2466
ISSN (online)	1471-2466
ISSN	1471-2466
DOI	10.1186/s12890-023-02689-w
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Article: Yang-xin-xue keli exerts therapeutic effects

Long, Kunlan / Zhao, Ziyi / Chen, Jun / Zhi, Lijia / Wang, Chunxia / Liao, Dan / Wang, Meng / Gao, Peiyang

Frontiers in pharmacology

2022 Volume 13, Page(s) 931453

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2022-08-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2022.931453
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Article ; Online: Diagnostic value of rapid on-site evaluation in interventional pulmonology: A protocol for systematic review and meta analysis.

Weng, Xiangwen / Zhi, Lijia / An, Xing / Xu, Meixin / Zhang, Hua / Long, Kunlan / Gao, Peiyang

Medicine

2020 Volume 99, Issue 29, Page(s) e21168

Abstract: Background: Rapid on-site evaluation (ROSE) is a kind of rapid evaluation of specimen satisfaction, preliminary diagnosis and priority strategy, the diagnostic accuracy of ROSE in the field of pulmonary intervention shows wide variation. The aim of the ... ...

Abstract	Background: Rapid on-site evaluation (ROSE) is a kind of rapid evaluation of specimen satisfaction, preliminary diagnosis and priority strategy, the diagnostic accuracy of ROSE in the field of pulmonary intervention shows wide variation. The aim of the study was to further clarify the accuracy and diagnostic efficacy of ROSE in interventional pulmonology. Methods: This review summarizes and meta-analyzes studies of ROSE in interventional pulmonology, the ROSE diagnoses would be compared with the final pathologic diagnoses. The following electronic databases have been searched: PubMed, Cochrane Library, Embase, Web of science, CNKI, and WANFANG DATA. The methodologic quality of studies has been assessed using the Quality of Diagnostic Studies (QUADAS-2) instrument. This review is conducted using standard methods for systematic reviews of diagnostic accuracy studies. STATA SE 12.0 is used for data synthesis and analysis. Results: This review evaluates the accuracy and diagnostic efficacy of ROSE in interventional pulmonology, and the process factors that may influence the ROSE diagnosis are analyzed, such as Smear method, profession of smear technician, staining method, Profession of stain technician, Profession of reading slides, invasive procedure, Anesthesia method and etc. CONCLUSION:: This review will stimulate proper evaluation of ROSE and provide assistance for clinical practice.
MeSH term(s)	Clinical Protocols ; Humans ; Meta-Analysis as Topic ; Point-of-Care Testing/standards ; Pulmonary Medicine/methods ; Pulmonary Medicine/standards ; Systematic Reviews as Topic
Language	English
Publishing date	2020-04-16
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000021168
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Article ; Online: Severe varicella-zoster virus meningoencephalomyelitis coexisting with visceral disseminated varicella-zoster virus infection in a patient with lupus nephritis: A case report.

Tao, Tian / Chen, Jun / Long, Kunlan / Zhi, Lijia / Zhang, Song / Liu, Shuqin / Ma, Yuexian / Yan, Hong / Lv, Lizeyu / Xu, Yue / Wu, Ling / Zhao, Liangbin / Gao, Peiyang

Medicine

2023 Volume 102, Issue 14, Page(s) e33459

Abstract: Rationale: Meningoencephalomyelitis and visceral dissemination infection are rare but life-threatening complications of either the primary infection or reactivation of varicella-zoster virus (VZV) in immunocompromised patients. To date, few studies have ...

Abstract	Rationale: Meningoencephalomyelitis and visceral dissemination infection are rare but life-threatening complications of either the primary infection or reactivation of varicella-zoster virus (VZV) in immunocompromised patients. To date, few studies have reported the co-existence of VZV meningoencephalomyelitis and the visceral dissemination of VZV infection. Patient concerns: A 23-year-old male was diagnosed with lupus nephritis class III and was being treated with oral prednisone and tacrolimus. The patient exhibited herpes zoster 21-day after the initiation of therapy and experienced unbearable abdominal pain and generalized seizures 11 days after the onset of a zoster rash. Magnetic resonance imaging showed progressive lesions in the cerebrum, brainstem, and cerebellum, as well as meningeal thickening and thoracic myelitis. Computed tomography showed pulmonary interstitial infiltration, partial intestinal dilatation, and effusion. Metagenomic next-generation sequencing revealed 198,269 and 152,222 VZV-specific reads in the cerebrospinal fluid and bronchoalveolar lavage fluid, respectively. Diagnoses: Based on the clinical and genetic findings, this patient was finally diagnosed with VZV meningoencephalomyelitis and visceral disseminated VZV infection. Interventions: The patient received intravenous acyclovir (0.5 g every 8 hours) combined with plasma exchange and intravenous immunoglobulin. Treatment against secondary bacterial and fungal infections, organ support therapy and rehabilitation training were given simultaneously. Outcome: The patient's peripheral muscle strength did not improve and repeated metagenomic next-generation sequencing showed the persistence of VZV-specific reads in the cerebrospinal fluid. The patient finally abandoned therapy due to financial constraints at the 1-month follow-up. Lessons: Patients with autoimmune diseases receiving immunosuppressive therapy should be warned about the possibility of developing serious neurological infections and visceral disseminated VZV infections as side effects. Early diagnosis and the early initiation of intravenous acyclovir therapy are important for such cases.
MeSH term(s)	Male ; Humans ; Young Adult ; Adult ; Herpesvirus 3, Human ; Lupus Nephritis/drug therapy ; Herpes Zoster/drug therapy ; Varicella Zoster Virus Infection/complications ; Chickenpox ; Acyclovir/therapeutic use ; Encephalomyelitis
Chemical Substances	Acyclovir (X4HES1O11F)
Language	English
Publishing date	2023-04-07
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000033459
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