Ri-Sheng Yu

Colorectal cancer liver metastasis (CRLM) poses a major challenge in cancer theranostics, in which hepatic stellate cell (HSC) activation participates in fibrosis progression and colorectal cancer (CRC) cell recruitment, catalyzing the formation of fibrosis-concomitant premetastatic niche (PMN). Targeting the crosstalk between activated HSCs (aHSCs) and CRC cells, we develop a bioengineered, mesoporous superparamagnetic iron oxide nanoparticle (mSPIONP)-based theranostic nano-system (mSPIONP-Cur@eCM). Camouflaged with CXC chemokine receptor type 4 (CXCR4)-overexpressing CRC cytomembranes, this nano-system exhibits a dual PMN-targeting function, exerting a homologous recognition to CRC cells and anchors to aHSCs with a high secretion of stromal cell-derived factor-1 (SDF-1). Its mSPIONP-Cur core affords not only T2-weighted magnetic resonance imaging (MRI) but also curcumin (Cur) delivery, initiating liver fibrosis detection and metastasis foci delineation, simultaneously blocking the HSC-CRC cell crosstalk by amplifying Cur's therapeutic effect. Verified in fibrosis and CRLM models, mSPIONP-Cur@eCM exhibits great potential for suppressing the fibrosis-concomitant PMN and intervening the CRLM progression.

This study aimed to investigate the clinical characteristics and imaging features of walled-off pancreatic necrosis (WOPNs) involving the pancreatic parenc

The online version contains supplementary material available at 10.1038/s41598-026-48829-0.

Original Article Comparative analysis of right atrial function in arrhythmogenic right ventricular cardiomyopathy and dilated cardiomyopathy using cardiac magnetic resonance-feature tracking Wenqi Liu, Yiyuan Gao, Wanzhen Li, Xiaojie Wang, Luyao Yang, Qingze Zeng, Ping Xiang, Risheng Yu, Maosheng Xu, Jingjing Shi

Objectives: This study aimed to compare the CT features of calcifying fibrous tumors (CFTs) and gastrointestinal stromal tumors (GISTs) less than 2 cm, and to establish a scoring system to differentiate them. Methods: A total of 85 patients were included, comprising 22 CFTs and 63 GISTs. Clinical and CT imaging features were compared between the two groups. Independent predictors were identified using univariate and multivariate logistic regression analyses. A predictive model was constructed and converted into a simplified scoring system based on regression coefficients. Model performance was evaluated using receiver operating characteristic (ROC) analysis and the Hosmer–Lemeshow goodness-of-fit test. Results: The analysis revealed eight variables with statistically significant differences ( P < 0.05). Four variables were included in the score model, including long diameter/short diameter (LD/SD) ratio, calcification (mild), calcification (moderate), and degree of enhancement (moderate), and identified as independent predictors of CFT. The scoring system ranged from − 2 to 5 points, where higher scores correlated with a greater likelihood of CFT. The AUCs for the predictive model and scoring model were 0.833 and 0.822, respectively, with no significant difference between the two ( P = 0.595). To facilitate clinical application, the scoring system was divided into four ranges, with corresponding probabilities of CFT of 7.14%, 14.29%, 64.71%, and 80.00%. Conclusion: The proposed CT-based predictive model and scoring system demonstrate good diagnostic performance and may enhance diagnostic confidence, potentially reducing unnecessary invasive procedures when CFT is suspected.

Accurate prediction of disease-free survival after radical resection in patients with pancreatic ductal adenocarcinoma (PDAC) remains challenging. Therefor

The importance of right atrial (RA) function assessment in arrhythmogenic right ventricular cardiomyopathy (ARVC) is increasingly being recognized. MR-feat

Purpose: To propose a model based on computed tomography (CT) subregional radiomics to predict the preoperative mitotic index of 2-5 cm Gastrointestinal Stromal Tumors (GISTs) of the stomach. Materials and methods: This retrospective study enrolled a total of 368 patients with GISTs from two institutions: Center 1 comprised 239 patients (122 M, 117 F; mean age 61.66 ± 10.86 years), and Center 2 comprised 129 patients (51 M, 78 F; mean age 60.28 ± 9.72 years). Radiomics features were extracted from the entire tumor. Concurrently, k-means clustering was applied to imaging features to define three distinct tumor subregions, from which radiomics features were subsequently extracted. The Recursive Feature Addition method was used to identify features correlated with the mitotic index in patients with 2-5 cm gastric GISTs. Using the selected features from each subregion and the whole tumor, logistic regression (LR) was employed to construct subregion-based radiomics models and conventional whole-tumor-based radiomics models, respectively. Results: Better performance was observed for unenhanced CT subregions 1, 2, and 3 compared with the conventional radiomics model. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of the model for subregion 3 in the training set were 0.98, 0.97, 0.98, and 0.90, respectively. In the validation and external test sets, the AUC values were 0.874 and 0.804, respectively. The conventional whole-tumor radiomics model based on venous phase CT demonstrated superior performance compared to all subregion-based models, achieving an AUC of 0.956 in the training set, with accuracy, sensitivity, and specificity of 0.94, 0.97, and 0.83, respectively. In the validation and external test sets, it attained AUC values of 0.892 and 0.805, respectively. Conclusion: Subregional CT radiomics may be used to predict the mitotic index of patients with 2-5 cm gastric GIST before surgery. In particular, subregional radiomics models based on unenhanced CT showed excellent predictive performance.

There are few studies comparing the impact of different bone age (BA) assessment methods on treatment follow-up cycles. This study aimed to analyze the value of artificial intelligence-assisted multiple BA assessment methods in evaluating the efficacy of idiopathic short stature (ISS) in traditional Chinese medicine treatment. We selected 388 cases of healthy children’s BA data from November 2021 to August 2024 in a single center as the control group, and 190 cases of female pediatric patients with ISS admitted in the same period as the treatment group, which were divided into 120 cases in the effective group and 70 cases in the ineffective group according to the final therapeutic efficacy. They were divided into 3 periods of 6, 9, and 12 months according to the interval of follow-up. All the children underwent left hand X-ray examinations before treatment and after follow-up, all the X-rays were taken using artificial intelligence-assisted Greulich and Pyle atlas (G&P), Tanner Whitehouse 3 (TW3), and Tanner Whitehouse China 05 (TW C) methods for assessment. We analyzed the initial and follow-up BA assessment results and their differences and compared the relationship between the BA difference and the efficacy of each method. The results showed that the overall difference in BA follow-up was significantly higher in the treatment-effective group than in the ineffective group ( P < .01). The assessment value of BA difference based on TW3 and TW C methods was better than that of the G&P method in the follow-up of the 6th, 9th and 12th months ( P < .01). The TW C and TW3 methods could evaluate the efficacy of the treatment early in the 6-month follow-up, while the G&P method had a diagnostic value in the 12-month follow-up. Both TW3 and TW C methods of BA assessment can be used to evaluate the treatment effect as early as the 6-month follow-up period, and the TW C method had a higher diagnostic value of efficacy in Chinese girls with ISS compared with the TW3 and G&P methods.