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Article ; Online: Correction: Status of

Tang, Yufan / Ji, Xiaowei / Lin, Qi / Huang, Hang / Zhu, Honghui / Huang, Xixi / Xie, Hui / Chen, Wei / Zhuang, Yuandi

2023 Volume 41, Issue 6, Page(s) 1717

Language	English
Publishing date	2023-05-05
Publishing country	Germany
Document type	Published Erratum
ZDB-ID	380333-8
ISSN	1433-8726 ; 0724-4983
ISSN (online)	1433-8726
ISSN	0724-4983
DOI	10.1007/s00345-023-04431-x
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Article ; Online: Multimodal radiomics based on 18F-Prostate-specific membrane antigen-1007 PET/CT and multiparametric MRI for prostate cancer extracapsular extension prediction.

Pan, Kehua / Yao, Fei / Hong, Weifeng / Xiao, Juan / Bian, Shuying / Zhu, Dongqin / Yuan, Yaping / Zhang, Yayun / Zhuang, Yuandi / Yang, Yunjun

The British journal of radiology

2024 Volume 97, Issue 1154, Page(s) 408–414

Abstract: Objectives: To compare the performance of the multiparametric magnetic resonance imaging (mpMRI) radiomics and 18F-Prostate-specific membrane antigen (PSMA)-1007 PET/CT radiomics model in diagnosing extracapsular extension (EPE) in prostate cancer (PCa), ...

Abstract	Objectives: To compare the performance of the multiparametric magnetic resonance imaging (mpMRI) radiomics and 18F-Prostate-specific membrane antigen (PSMA)-1007 PET/CT radiomics model in diagnosing extracapsular extension (EPE) in prostate cancer (PCa), and to evaluate the performance of a multimodal radiomics model combining mpMRI and PET/CT in predicting EPE. Methods: We included 197 patients with PCa who underwent preoperative mpMRI and PET/CT before surgery. mpMRI and PET/CT images were segmented to delineate the regions of interest and extract radiomics features. PET/CT, mpMRI, and multimodal radiomics models were constructed based on maximum correlation, minimum redundancy, and logistic regression analyses. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and indices derived from the confusion matrix. Results: AUC values for the mpMRI, PET/CT, and multimodal radiomics models were 0.85 (95% CI, 0.78-0.90), 0.73 (0.64-0.80), and 0.83 (0.75-0.89), respectively, in the training cohort and 0.74 (0.61-0.85), 0.62 (0.48-0.74), and 0.77 (0.64-0.87), respectively, in the testing cohort. The net reclassification improvement demonstrated that the mpMRI radiomics model outperformed the PET/CT one in predicting EPE, with better clinical benefits. The multimodal radiomics model performed better than the single PET/CT radiomics model (P < .05). Conclusion: The mpMRI and 18F-PSMA-PET/CT combination enhanced the predictive power of EPE in patients with PCa. The multimodal radiomics model will become a reliable and robust tool to assist urologists and radiologists in making preoperative decisions. Advances in knowledge: This study presents the first application of multimodal radiomics based on PET/CT and MRI for predicting EPE.
MeSH term(s)	Male ; Humans ; Multiparametric Magnetic Resonance Imaging ; Positron Emission Tomography Computed Tomography/methods ; Prostate ; Extranodal Extension ; Radiomics ; Prostatic Neoplasms/surgery ; Magnetic Resonance Imaging/methods
Language	English
Publishing date	2024-02-03
Publishing country	England
Document type	Journal Article
ZDB-ID	2982-8
ISSN	1748-880X ; 0007-1285
ISSN (online)	1748-880X
ISSN	0007-1285
DOI	10.1093/bjr/tqad038
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Article ; Online: Status of

Tang, Yufan / Ji, Xiaowei / Lin, Qi / Huang, Hang / Zhu, Honghui / Huang, Xixi / Xie, Hui / Chen, Wei / Zhuang, Yuandi

World journal of urology

2023 Volume 41, Issue 4, Page(s) 1017–1024

Abstract: Purpose: Treatment of primary prostate cancer extremely depends on preoperative stage. The role of : Materials and methods: In this retrospective study, all patients with prostate cancer who underwent mpMRI and : Results: Ultimately, 130 patients ... ...

Abstract	Purpose: Treatment of primary prostate cancer extremely depends on preoperative stage. The role of Materials and methods: In this retrospective study, all patients with prostate cancer who underwent mpMRI and Results: Ultimately, 130 patients were included in this study. In the preoperative judgment of EPE and SVI, mpMRI + PSMA-PET/CT had higher sensitivity and specificity. When predicting lymph node metastasis, PSMA-PET/CT was the best choice. The accuracy of mpMRI + PSMA-PET/CT and PSMA-PET/CT in the T and N stages, respectively, was affected by the least factors. Conclusions: Based on the combined results of mpMRI and
MeSH term(s)	Male ; Humans ; Multiparametric Magnetic Resonance Imaging/methods ; Positron Emission Tomography Computed Tomography/methods ; Retrospective Studies ; Prostatic Neoplasms/diagnostic imaging ; Prostatic Neoplasms/surgery ; Prostatic Neoplasms/pathology
Chemical Substances	PSMA-1007
Language	English
Publishing date	2023-03-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	380333-8
ISSN	1433-8726 ; 0724-4983
ISSN (online)	1433-8726
ISSN	0724-4983
DOI	10.1007/s00345-023-04345-8
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Article ; Online: Astral hydrogels mimic tissue mechanics by aster-aster interpenetration

Qingqiao Xie / Yuandi Zhuang / Gaojun Ye / Tiankuo Wang / Yi Cao / Lingxiang Jiang

Nature Communications, Vol 12, Iss 1, Pp 1-

2021 Volume 9

Abstract: The development of tissue-like materials which replicate the mechanical properties of tissue is of interest for a range of applications. Here, the authors report on the development of radial asters that form a gel network to stiffen in compression and ... ...

Abstract	The development of tissue-like materials which replicate the mechanical properties of tissue is of interest for a range of applications. Here, the authors report on the development of radial asters that form a gel network to stiffen in compression and soften in extension, resembling tissue mechanics.
Keywords	Science ; Q
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
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Article ; Online: Astral hydrogels mimic tissue mechanics by aster-aster interpenetration.

Xie, Qingqiao / Zhuang, Yuandi / Ye, Gaojun / Wang, Tiankuo / Cao, Yi / Jiang, Lingxiang

Nature communications

2021 Volume 12, Issue 1, Page(s) 4277

Abstract: Many soft tissues are compression-stiffening and extension-softening in response to axial strains, but common hydrogels are either inert (for ideal chains) or tissue-opposite (for semiflexible polymers). Herein, we report a class of astral hydrogels that ...

Abstract	Many soft tissues are compression-stiffening and extension-softening in response to axial strains, but common hydrogels are either inert (for ideal chains) or tissue-opposite (for semiflexible polymers). Herein, we report a class of astral hydrogels that are structurally distinct from tissues but mechanically tissue-like. Specifically, hierarchical self-assembly of amphiphilic gemini molecules produces radial asters with a common core and divergently growing, semiflexible ribbons; adjacent asters moderately interpenetrate each other via interlacement of their peripheral ribbons to form a gel network. Resembling tissues, the astral gels stiffen in compression and soften in extension with all the experimental data across different gel compositions collapsing onto a single master curve. We put forward a minimal model to reproduce the master curve quantitatively, underlying the determinant role of aster-aster interpenetration. Compression significantly expands the interpenetration region, during which the number of effective crosslinks is increased and the network strengthened, while extension does the opposite. Looking forward, we expect this unique mechanism of interpenetration to provide a fresh perspective for designing and constructing mechanically tissue-like materials.
Language	English
Publishing date	2021-07-13
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-021-24663-y
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Article: Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study.

Xiang, Yilan / Hu, Yuanbo / Chen, Chenbin / Zhi, Huaiqing / Zhang, Zhao / Lu, Mingdong / Chen, Xietao / Luo, Zhixian / Chen, Sian / Dias-Neto, Emmanuel / Pizzini, Paolo / Chen, Xinxin / Chen, Xiaodong / Zhuang, Yuandi / Dong, Qiantong

Journal of gastrointestinal oncology

2023 Volume 14, Issue 5, Page(s) 2048–2063

Abstract: Background: Traditional clinical characteristics have certain limitations in evaluating cancer prognosis. The radiomics features provide information on tumor morphology, tissue texture, and hemodynamics, which can accurately reflect personalized ... ...

Abstract	Background: Traditional clinical characteristics have certain limitations in evaluating cancer prognosis. The radiomics features provide information on tumor morphology, tissue texture, and hemodynamics, which can accurately reflect personalized predictions. This study investigated the clinical value of radiomics features on contrast-enhanced computed tomography (CT) images in predicting prognosis and postoperative chemotherapy benefits for patients with gastric cancer (GC). Methods: For this study, 171 GC patients who underwent radical gastrectomy and pathology confirmation of the malignancy at the First Affiliated Hospital of Wenzhou Medical University were retrospectively enrolled. The general information, pathological characteristics, and postoperative chemotherapy information were collected. Patients were also monitored through telephone interviews or outpatient treatment. GC patients were randomly divided into the developing cohort (n=120) and validation cohort (n=51). The intra-tumor areas of interest inside the tumors were delineated, and 1,218 radiomics features were extracted. The optimal radiomics risk score (RRS) was constructed using 8 machine learning algorithms and 29 algorithm combinations. Furthermore, a radiomics nomogram that included clinicopathological characteristics was constructed and validated through univariate and multivariate Cox analyses. Results: Eleven prognosis-related features were selected, and an RRS was constructed. Kaplan-Meier curve analysis showed that the RRS had a high prognostic ability in the developing and validation cohorts (log-rank P<0.01). The RRS was higher in patients with a larger tumor size (≥3 cm), higher Charlson score (≥2), and higher clinical stage (Stages III and IV) (all P<0.001). Furthermore, GC patients with a higher RRS significantly benefited from postoperative chemotherapy. The results of univariate and multivariate Cox regression analyses demonstrated that the RRS was an independent risk factor for overall survival (OS) and disease-free survival (DFS) (P<0.001). A visual nomogram was established based on the significant factors in multivariate Cox analysis (P<0.05). The C-index was 0.835 (0.793-0.877) for OS and 0.733 (0.677-0.789) for DFS in the developing cohort. The calibration curve also showed that the nomogram had good agreement. Conclusions: A nomogram that combines the RRS and clinicopathological characteristics could serve as a novel noninvasive preoperative prediction model with the potential to accurately predict the prognosis and chemotherapy benefits of GC patients.
Language	English
Publishing date	2023-10-27
Publishing country	China
Document type	Journal Article
ZDB-ID	2594644-4
ISSN	2219-679X ; 2078-6891
ISSN (online)	2219-679X
ISSN	2078-6891
DOI	10.21037/jgo-23-627
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Article ; Online: Arc concave sign on thin-section computed tomography：A novel predictor for invasive pulmonary adenocarcinoma in pure ground-glass nodules.

Fu, Gangze / Yu, Huibo / Liu, Jinjin / Xia, Tianyi / Xiang, Lanting / Li, Peng / Huang, Dingpin / Lin, Liaoyi / Zhuang, Yuandi / Yang, Yunjun

European journal of radiology

2021 Volume 139, Page(s) 109683

Abstract: Objective: We aimed to investigate the risk factors of invasive pulmonary adenocarcinoma, especially to report and validate the use of our newly identified arc concave sign in predicting invasiveness of pure ground-glass nodules (pGGNs).: Methods: ... ...

Abstract	Objective: We aimed to investigate the risk factors of invasive pulmonary adenocarcinoma, especially to report and validate the use of our newly identified arc concave sign in predicting invasiveness of pure ground-glass nodules (pGGNs). Methods: From January 2015 to August 2018, we retrospectively enrolled 302 patients with 306 pGGNs ≤ 20 mm pathologically confirmed (141 preinvasive lesions and 165 invasive lesions). Arc concave sign was defined as smooth and sunken part of the edge of the lesion on thin-section computed tomography (TSCT). The degree of arc concave sign was expressed by the arc chord distance to chord length ratio (AC-R); deep arc concave sign was defined as AC-R larger than the optimal cut-off value. Logistic regression analysis was used to identify the independent risk factors of invasiveness. Results: Arc concave sign was observed in 65 of 306 pGGNs (21.2 %), and deep arc concave sign (AC-R > 0.25) were more common in invasive lesions (P = 0.008). Under microscope, interlobular septal displacements were found at tumour surface. Multivariate analysis indicated that irregular shape (OR, 3.558; CI: 1.374-9.214), presence of deep arc concave sign (OR, 3.336; CI: 1.013-10.986), the largest diameter > 10.1 mm (OR, 4.607; CI: 2.584-8.212) and maximum density > -502 HU (OR, 6.301; CI: 3.562-11.148) were significant independent risk factors of invasive lesions. Conclusions: Arc concave sign on TSCT is caused by interlobular septal displacement. The degree of arc concave sign can reflect the invasiveness of pGGNs. Invasive lesions can be effectively distinguished from preinvasive lesions by the presence of deep arc concave sign, irregular shape, the largest diameter > 10.1 mm and maximum density > -502 HU in pGGNs ≤ 20 mm.
MeSH term(s)	Adenocarcinoma/diagnostic imaging ; Adenocarcinoma of Lung/diagnostic imaging ; Humans ; Lung Neoplasms/diagnostic imaging ; Neoplasm Invasiveness/diagnostic imaging ; Retrospective Studies
Language	English
Publishing date	2021-03-27
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2021.109683
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Zs.A 1630: Show issues

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Article ; Online: White matter alterations in heart-kidney imbalance insomnia and Jiao-Tai-Wan treatment: A diffusion-tensor imaging study.

Chen, Jie / Li, Yanxuan / Xia, Nengzhi / Wen, Caiyun / Xia, Tianyi / Zhuang, Yuandi / Jiang, Mengmeng / Xiang, Yilan / Zhang, Mingyue / Zhan, Chenyi / Yang, Yunjun / Yuan, Zhengzhong / Huang, Qun

Brain imaging and behavior

2022 Volume 16, Issue 4, Page(s) 1803–1812

Abstract: Previous studies have reported changes in white matter microstructures in patients with insomnia. However, few neuroimaging studies have focused specifically on white matter tracts in insomnia patients after having received treatment. In this prospective ...

Abstract	Previous studies have reported changes in white matter microstructures in patients with insomnia. However, few neuroimaging studies have focused specifically on white matter tracts in insomnia patients after having received treatment. In this prospective study, diffusion-tensor imaging was used in two samples of heart-kidney imbalance insomnia patients who were treated with placebo or Jiao-Tai-Wan, a traditional Chinese medicine commonly used to treat heart-kidney imbalance insomnia, to assess the changes in white matter tracts. Tract-based spatial statistical analyses were first applied to compare the changes in mean diffusivity and fractional anisotropy of white matter between 75 heart-kidney imbalance insomnia patients and 41 healthy control participants. In subsequent randomized, double-blind, placebo-controlled trials, comparisons of mean diffusivity and fractional anisotropy were also performed in 24 heart-kidney imbalance insomnia patients (8 males; 16 females; 42.5 ± 10.4 years) with Jiao-Tai-Wan and 26 heart-kidney imbalance insomnia patients (11 males; 15 females; 39.7 ± 9.4 years) with a placebo, with age and sex as covariates. Fractional anisotropy values in left corticospinal tract were increased in heart-kidney imbalance insomnia patients. Heart-kidney imbalance insomnia patients showed lower mean diffusivity and fractional anisotropy values of several white matter tracts than healthy control participants, such as the bilateral anterior limb of internal capsule, bilateral superior longitudinal fasciculus and bilateral posterior corona radiata. After being treated with Jiao-Tai-Wan, heart-kidney imbalance insomnia patients showed a trend towards reduced fractional anisotropy values in the left corticospinal tract. Jiao-Tai-Wan may improve the sleep quality by reversing the structural changes of the left corticospinal tract caused by heart-kidney imbalance insomnia.
MeSH term(s)	Anisotropy ; Drugs, Chinese Herbal ; Female ; Humans ; Kidney ; Leukoaraiosis ; Magnetic Resonance Imaging/methods ; Male ; Prospective Studies ; Sleep Initiation and Maintenance Disorders/diagnostic imaging ; Sleep Initiation and Maintenance Disorders/drug therapy ; White Matter/diagnostic imaging
Chemical Substances	Drugs, Chinese Herbal ; jiao tai wan
Language	English
Publishing date	2022-03-25
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	2377165-3
ISSN	1931-7565 ; 1931-7557
ISSN (online)	1931-7565
ISSN	1931-7557
DOI	10.1007/s11682-022-00653-6
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Article ; Online: Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass Nodules.

Xia, Tianyi / Cai, Mengting / Zhuang, Yuandi / Ji, Xiaowei / Huang, Dingpin / Lin, Liaoyi / Liu, Jinjin / Yang, Yunjun / Fu, Gangze

European journal of radiology

2020 Volume 133, Page(s) 109332

Abstract: Purpose: We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs).: Method: From January 2014 to June 2018, we enrolled 238 ... ...

Abstract	Purpose: We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs). Method: From January 2014 to June 2018, we enrolled 238 patients with multiple GGNs in a retrospective review. Patients were categorized into growth group 63 (26.5%), and non-growth group 175 (73.5%). The median follow-up time was 28.2 months (range, 6.3-73.0 months). To obtain the time of RN growth and find the risk factors for growth, data such as age, gender, history of smoking, history of malignancy, type of surgery, pathology and radiological characteristics were analyzed to use Kaplan-Meier method with the log-rank test and Cox regression analysis. Results: The median growth time of RN was 56.0 months (95% CI, 45.0-67.0 months) in all 238 patients. Roundness (HR 4.62, 95% CI 2.20-9.68), part-solid nodule (CTR ≥ 50%) (HR 4.39, 95% CI 2.29-8.45), vascular convergence sign (HR 2.32, 95% CI 1.36-3.96) of RN, and age (HR 1.04, 95% CI 1.01-1.07) were independent predictors of further nodule growth. However, radiological characteristics and pathology of domain tumour (DT) cannot be used as indicators to predict RN growth. Conclusions: RN showed an indolent growth pattern in surgical patients with multifocal GGNs. RN with a higher roundness, presence of vascular convergence sign, more solid component, and in the elder was likely to grow. However, the growth of RN showed no association with the radiological features and pathology of DT.
MeSH term(s)	Adenocarcinoma/diagnostic imaging ; Adenocarcinoma/surgery ; Aged ; Humans ; Lung Neoplasms ; Retrospective Studies ; Risk Factors ; Solitary Pulmonary Nodule/diagnostic imaging ; Solitary Pulmonary Nodule/surgery ; Tomography, X-Ray Computed
Language	English
Publishing date	2020-10-21
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	138815-0
ISSN	1872-7727 ; 0720-048X
ISSN (online)	1872-7727
ISSN	0720-048X
DOI	10.1016/j.ejrad.2020.109332
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Article ; Online: Dynamic changes on chest CT of COVID-19 patients with solitary pulmonary lesion in initial CT

Zhuang, Yuandi / Lin, Liaoyi / Xu, Xunhua / Xia, Tianyi / Yu, Huili / Fu, Gangze / Yang, Yunjun / Wang, Meihao / Sun, Houzhang

Japanese Journal of Radiology ; ISSN 1867-1071 1867-108X

2020

Keywords	Radiology Nuclear Medicine and imaging ; covid19
Language	English
Publisher	Springer Science and Business Media LLC
Publishing country	us
Document type	Article ; Online
DOI	10.1007/s11604-020-01037-w
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