Xiaoyi Deng

Xiaoyi Deng


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 June 2022 in Applied Bionics and Biomechanics
Verified
Journal Article
Open access
PDF file
HGHongyu Gu
Hongyu Gu
WCWenjing Cui
Wenjing Cui
SLSong Luo
Song Luo
XDXiaoyi Deng
Xiaoyi Deng
Purpose. Magnetic resonance imaging (MRI) has a high sensitivity for differentiating between malignant and non-malignant breast lesions but is sometimes limited due to its low specificity. Here, we performed a meta-analysis to evaluate the diagnostic performance of mean kurtosis (MK) and mean diffusivity (MD) values in magnetic resonance diffusion kurtosis imaging (DKI) for benign and malignant breast lesions. Methods. Original articles on relevant topics, published from 2010 to 2019, in PubMed, EMBASE, and WanFang databases were systematically reviewed. According to the purpose of the study and the characteristics of DKI reported, the diagnostic performances of MK and MD were evaluated, and meta-regression was conducted to explore the source of heterogeneity. Results. Fourteen studies involving 1,099 (451 benign and 648 malignant) lesions were analyzed. The pooled sensitivity, pooled specificity, positive likelihood ratio, and negative likelihood ratio for MD were 0.84 (95 confidence interval (CI), 0.81-0.87), 0.83 (95 CI, 0.79-0.86), 4.44 (95 CI, 3.54-5.57), and 0.18 (95 CI, 0.13-0.26), while those for MK were 0.89 (95 CI, 0.86-0.91), 0.86 (95 CI, 0.82-0.89), 5.72 (95 CI, 4.26-7.69), and 0.13 (95 CI, 0.09-0.19), respectively. The overall area under the curve (AUC) was 0.91 for MD and 0.95 for MK. Conclusions. Analysis of the data from 14 studies showed that MK had a higher pooled sensitivity, pooled specificity, and diagnostic performance for differentiating between breast lesions, compared with MD.

13 November 2025 in Frontiers in Cardiovascular Medicine
Verified
Journal Article
Open access
PDF file
BWBingquan Wang
Bingquan Wang
HGHongyu Gu
Hongyu Gu
LKLingLing Kong
LingLing Kong
SLSong Luo
Song Luo
XDXiaoyi Deng
Xiaoyi Deng
Background: Cardiac stress T1-mapping is an advanced magnetic resonance imaging technique that enables the detection of myocardial ischemia and coronary microvascular dysfunction without the need for gadolinium-based contrast agents (GBCAs). This review seeks to synthesize reported mean ΔT1 values from studies involving healthy adults, establish an approximate range of myocardial T1 reactivity in this population, and explore factors underlying the heterogeneity observed across different studies. Methods: PubMed, Web of Science, and Cochrane Central were searched for studies reporting myocardial T1 reactivity in healthy adult participants. The search strategy included terms such as: “Stress T1 ‘AND’ Mapping” OR “Stress T1 ‘AND’ Cardiovascular magnetic resonance” OR “Stress T1 ‘AND’ CMR” OR “T1 reactivity ‘AND’ Cardiovascular magnetic resonance” OR “T1 reactivity ‘AND’ CMR.” Use the Joanna Briggs Institute (JBI) quantitative critical appraisal tools for documentation quality assessment. The average value is summarized using the random effect model, and heterogeneity was assessed by using the inconsistency factor ( I 2 ). A sensitivity analysis of the incorporated research was carried out using a one-by-one exclusion method. Subgroup analysis and regression analysis were used to determine the causes of heterogeneity. Results: This systematic review of T1 reactivity included 10 articles (11 study groups), with 226 participants (mean age, 52.21 years; 56.19% men [127 of 226]). The pooled mean of ΔT1 was 6.22% (95% confidence interval [CI]: 5.60, 6.84). I 2 was 89.07%. The mean ΔT1 was 5.42% (95% CI: 4.77, 6.07) at modified Look Locker Inversion recovery (MOLLI) and 6.82% (95% CI: 5.98, 7.66) at shortened modified Look Locker inversion recovery (SHMOLLI). There was substantial heterogeneity in both pools ( I 2 = 80.16% and I 2 = 83.89% at MOLLI and SHMOLLI, respectively). There is a statistically significant statistical difference in ΔT1 between MOLLI and SHMOLLI ( p = 0.01). Pooled meta-regression analyses of all health study cohorts revealed age as an significantly associated with ΔT1 value variations ( p = 0.038). Conclusions: This analysis summarizes the pooled means and CI of T1 reactivity in healthy adult participants. Significant heterogeneity was observed, highlighting the need to standardize cardiac MRI protocols and to investigate factors influencing T1 reactivity. Systematic Review Registration: identifier CRD42024568804.