ObjectiveTo investigate the value of preoperative dual-layer spectral detector CT （DLCT） parameters in predicting lymph node metastasis （LNM） of non-functional pancreatic neuroendocrine neoplasms （NF-pNENs）. MethodsA retrospective study was conducted on patients with pathologically confirmed NF-pNENs who underwent preoperative contrast-enhanced DLCT examination between September 2019 and July 2024. Regions of interest （ROIs） were manually delineated on three representative slices of the solid component of the lesion， and the mean values were recorded. Conventional CT parameters， monochromatic energy images （40 keV， 70 keV， 100 keV）， iodine concentration maps， and effective atomic number （Z_eff） maps in the pancreatic parenchymal phase and portal venous phase were acquired. A total of 34 parameters， including clinical characteristics， imaging features， conventional CT and DLCT quantitative parameters， were analyzed. Intergroup differences were compared between the LNM and non-LNM groups. Independent predictive factors were screened using logistic regression and least absolute shrinkage and selection operator （LASSO） regression. Receiver operating characteristic （ROC） curves were generated for each predictive model， and the area under the curve （AUC） was calculated to evaluate the predictive efficacy. ResultsA total of 82 patients with NF-pNENs were enrolled， including 37 males and 45 females， with a mean age of 49.7±14.7 years. Thirty patients were performed with LNM and 52 were with non-LNM. After univariate logistic regression， LASSO regression and multivariate stepwise logistic regression analyses， body mass index （BMI）， organ invasion， normalized CT value in the portal venous phase （nCTv） and normalized iodine concentration in the portal venous phase （nICv） were identified as independent predictive factors. The AUCs of the clinical-radiological qualitative model （BMI+organ invasion）， conventional CT model （nCTv）， DLCT model （nICv） and comprehensive model （organ invasion+nICv） were 0.815 （0.719， 0.910）， 0.750 （0.642， 0.858）， 0.829 （0.733， 0.925） and 0.865 （0.879， 0.953）， respectively. The comprehensive model combining clinical-radiological and DLCT characteristics exhibited superior predictive performance. ConclusionDLCT parameters are more effective than conventional CT parameters in predicting LNM in NF-pNENs， enabling non-invasive preoperative prediction and assisting clinical decision-making.

ObjectiveTo investigate the value of preoperative dual-layer spectral detector CT （DLCT） parameters in predicting lymph node metastasis （LNM） of non-functional pancreatic neuroendocrine neoplasms （NF-pNENs）. MethodsA retrospective study was conducted on patients with pathologically confirmed NF-pNENs who underwent preoperative contrast-enhanced DLCT examination between September 2019 and July 2024. Regions of interest （ROIs） were manually delineated on three representative slices of the solid component of the lesion， and the mean values were recorded. Conventional CT parameters， monochromatic energy images （40 keV， 70 keV， 100 keV）， iodine concentration maps， and effective atomic number （Z_eff） maps in the pancreatic parenchymal phase and portal venous phase were acquired. A total of 34 parameters， including clinical characteristics， imaging features， conventional CT and DLCT quantitative parameters， were analyzed. Intergroup differences were compared between the LNM and non-LNM groups. Independent predictive factors were screened using logistic regression and least absolute shrinkage and selection operator （LASSO） regression. Receiver operating characteristic （ROC） curves were generated for each predictive model， and the area under the curve （AUC） was calculated to evaluate the predictive efficacy. ResultsA total of 82 patients with NF-pNENs were enrolled， including 37 males and 45 females， with a mean age of 49.7±14.7 years. Thirty patients were performed with LNM and 52 were with non-LNM. After univariate logistic regression， LASSO regression and multivariate stepwise logistic regression analyses， body mass index （BMI）， organ invasion， normalized CT value in the portal venous phase （nCTv） and normalized iodine concentration in the portal venous phase （nICv） were identified as independent predictive factors. The AUCs of the clinical-radiological qualitative model （BMI+organ invasion）， conventional CT model （nCTv）， DLCT model （nICv） and comprehensive model （organ invasion+nICv） were 0.815 （0.719， 0.910）， 0.750 （0.642， 0.858）， 0.829 （0.733， 0.925） and 0.865 （0.879， 0.953）， respectively. The comprehensive model combining clinical-radiological and DLCT characteristics exhibited superior predictive performance. ConclusionDLCT parameters are more effective than conventional CT parameters in predicting LNM in NF-pNENs， enabling non-invasive preoperative prediction and assisting clinical decision-making.

Iron,which has the highest content and is the most required trace element in the human body,is vital to the normal metabo-lism and life activities of our body.The liver is the main storage organ of iron,and iron metabolism disorders have various harms to the liver and are associated with the development and progression of a variety of liver diseases.In recent years,metabolic associated fatty liver disease has become a liver disease with a high incidence rate globally,and its development and progression are affected by many factors such as iron metabolism and involves different molecular mechanisms.This article reviews the effect of iron metabolism disor-ders on metabolic associated fatty liver disease and summarizes the treatment methods for metabolic associated fatty liver disease based on iron metabolism disorders,in order to provide more ideas for the prevention and treatment of metabolic associated fatty liver disease.

Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Chinese Pancreatic Surgery Association, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Group of Pancreatic Surgery, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Group of Pancreatic Surgery, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.

Objective To investigate the feasibility of utilizing visceral abdominal adiposity tissue (VAT) volume quantification using MRI to predict type 2 diabetes mellitus (T2DM).Methods Forty-eight subjects including 15 T2DM (T2DM group),17 impaired glucose tolerance (IGT,IGT group) and 16 normal glucose tolerance (NGT,NGT group) were enrolled in this study.All subjects underwent upper abdominal iterative decomposition of water and fat with echo asymmetry and least square estimation-image quantification (IDEAL-IQ) MRI scanning.VAT volume of the second and third lumber vertebral body ranges (VATV L2,VATV L3),sum of VATV L2 and L3 (total VATV),hepatic and pancreatic fat were measured in fat fraction mapping of T1WI IDAEL-IQ sequence on post-processing workstation.The accuracy of predicting T2DM using VAT was evaluated by Logistic regression equation via ROC curve.Results The mean of VATV L2,VATV L3 and total VATV in T2DM group were significantly higher than those of IGT group and NGT group (P＜0.05),while there were no significant difference of these metrics between IGT group and NGT group (P＞0.05).Taking 460.34 ml as the cut-off value for VATV L2 to predict T2DM,sensitivity was 73.33％,specificity was 75.76％ and accuracy was 75.00％,respectively.Taking 429.46 ml as the cut-off value for VATV L3 to predict T2DM,sensitivity was 86.67％,specificity was 72.73％ and accuracy was 77.08％,respectively.Taking 887.83 ml as the cut-off value for total VATV to predict T2DM,the sensitivity,specificity and accuracy were 86.67％,72.73％ and 77.08％,respectively.Only VATV L3 was enrolled by Logistic regression equation (P=0.01,OR=1.01),and the sensitivity,specificity and total accuracy of prediction for T2DM were 80.00 ％,88.20 ％,and 84.40 ％,respectively.Conelnsion It is feasible to utilize VAT volume quantification with MRI to predict T2DM.VATV L3 is a better predictor.

Objective To demonstrate the imaging characteristics of pancreatic neuroendocrine neoplasm (P-NEN).Methods The CT and MRI findings of 43 cases of P-NEN confirmed by pathology were analyzed,and compared with pathological results.Results Mean size of 43 lesions in 43 P-NEN patients were (25.00± 1.82)mm.Necrosis cystic degeneration were found in 26 lesions.In CT plain scan,15 lesions were isodense,28 lesions were hypodense.All of 43 lesions were hypointensity signal on T1WI;27 lesions were hypointensity signal,16 cases were isointensity signal on T2WI.Twenty-seven lesions showed envelope;30 lesions showed clear outline.In enhancement images,24 lesions were marked enhancement since arterial phase;8 lesions showed delayed enhancement;5 lesions showed centrality enhancement;6 lesions showed wild enhancement.Conclusion P-NEN has some characteristics on CT and MRI scanning,imaging can play an important role in diagnosis for P-NEN.

Purpose To summarize the characteristics of computed tomography enteroclysis (CTE) in active ulcerative colitis (UC), and to explore the value of multi-slice CTE in the evaluation of UC. Materials and Methods Thirty-five patients with active UC confirmed by clinical manifestation, colonoscopy and pathology underwent CTE examination in the study. According to the modiifed Mayo-score, the patients were divided into mild group, moderate group and severe group, and the CTE manifestations were compared among the three groups. Results Among 35 patients, 6 patients were in the mild group, 13 in the moderate group, and 16 in the severe group. Submucosal bubbles had signiifcant differences between mild and moderate groups (P<0.05), bowel wall stratiifcation, disappearance of haustra and enlarged mesenteric lymph nodes were signiifcantly different between moderate and severe groups (P<0.05), and engorged vasa recta was significantly different between the 3 groups (P<0.05). However, bowel wall thickening, mural hyperenhencement, narrow lumen and fatty deposits around the rectum showed no difference between the three groups (P>0.05). Conclusion Multi-slice CTE can provide image features of bowel wall, intestinal tube and structures outside intestine in the evaluation of UC, thus it is useful in the diagnosis of active UC as well as in its clinical grading.