ObjectiveTo investigate the clinical features of tumor-induced acute pancreatitis （TIAP）， to construct and validate a predictive model for TIAP， and to provide help for early identification in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 3 051 patients with acute pancreatitis （AP） who were admitted to The First Affiliated Hospital of Xinjiang Medical University from January 2020 to January 2026， among whom there were 72 patients with TIAP. To reduce class imbalance， 216 patients with non-tumor-related AP （2 979 patients） were randomly selected as conventional group using sex-stratified sampling， resulting in a cohort of 288 patients， and this cohort was randomly divided into a training set with 201 patients and a test set with 87 patients at a ratio of 7∶3. The two groups were compared in terms of general information and laboratory markers. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Recursive feature elimination and least absolute shrinkage and selection operator regression were used for screening of characteristic variables， and five machine learning models were constructed， i.e.， logistic regression model， random forest model， support vector machine model， extreme gradient boosting model， and light gradient boosting machine model. The receiver operating characteristic curve and the precision-recall curve were used to assess model performance； the calibration curve was used to assess goodness of fit； decision curve analysis was used to evaluate clinical applicability and practicality； Shapley additive explanations were used to assess model interpretability. ResultsIn the training set of 201 patients， there were 52 patients （25.9%） in the TIAP group， and in the test set of 87 patients， there were 20 patients （23.0%） in the TIAP group. Compared with the conventional group， the TIAP group had a significantly higher proportion of patients with pancreatic duct dilatation （χ²=79.474， P<0.05）， a significantly higher age （Z=-5.838， P<0.05）， and significantly lower levels of white blood cell count （Z=5.630， P<0.05）， amylase （Z=2.606， P<0.05）， hemoglobin （Z=5.038， P<0.05）， and neutrophil percentage （Z=5.269， P<0.05）， as well as a lower level of direct bilirubin （Z=0.936， P>0.05）. The five machine learning models constructed based on these seven variables had a certain predictive ability， among which the logistic regression model had the best performance in the test set， with an area under the curve of 0.893 （95% confidence interval： 0.821 — 0.953）， an average precision of 0.654 in the precision-recall curve， good calibration， and good clinical benefits based on the decision curve analysis. ConclusionThe predictive model for TIAP based on pancreatic duct dilatation， age， white blood cell count， amylase， hemoglobin， neutrophil percentage， and direct bilirubin shows good predictive performance and can provide important guidance for the early diagnosis of TIAP.

The orientation of the acetabular cup in hip joint anteroposterior radiograph is a key factor in evaluating the postoperative outcomes of total hip arthroplasty (THA). Currently, measurement of the acetabular cup anteversion angle primarily relies on manual drawing of auxiliary lines by orthopedic surgeons and calculations using scientific calculators. This study proposes an automated computer-aided measurement method for the acetabular cup anteversion angle based on hip joint anteroposterior radiograph. The proposed method segments hip prosthesis images using an improved Otsu algorithm, identifies feature points at the acetabular cup opening by combining circle-fitting theory and the cup's geometric characteristics, and fits an ellipse to the cup opening to calculate the anteversion angle. A total of 104 hip joint anteroposterior radiographs, including 71 right-sided and 81 left-sided prostheses, were analyzed. Two orthopedic surgeons independently measured the postoperative anteversion angles, and the results were compared with computer-generated measurements for correlation analysis. Spearman and Pearson correlation analyses demonstrated significant correlations between the proposed method and manual measurements for both the right group ( r = 0.795, P < 0.01) and the left group ( r = 0.859, P < 0.01). This method provides a reliable reference for orthopedic surgeons to assess postoperative prognosis.
Humans ; Acetabulum/anatomy & histology* ; Arthroplasty, Replacement, Hip/methods* ; Algorithms ; Hip Prosthesis ; Hip Joint/diagnostic imaging* ; Radiography ; Image Processing, Computer-Assisted/methods*

Objective:To study the lipid metabolism and its relationship with iodine nutrition status in patients with papillary thyroid carcinoma (PTC) and benign thyroid nodules.Methods:A case-control study was conducted on patients with thyroid nodules initially diagnosed at Harbin Medical University Cancer Hospital from November 2015 to April 2019. Basic information, thyroid function indicators [thyroid stimulating hormone (TSH), free triiodothyronine (FT 3), free thyroxine (FT 4), thyroglobulin antibodies (TgAb), thyroid peroxidase antibodies (TPOAb)], and pathological diagnosis results were collected from all subjects. Fasting venous blood and morning urine samples were collected for serum iodine concentration (SIC), urine iodine concentration (UIC) and blood lipid indicators [total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), lipoprotein (a), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), apolipoprotein E (ApoE), and non-esterified fatty acid (NEFA)] measurements. Results:A total of 1 090 subjects were included, including 907 PTC patients and 183 benign thyroid nodule patients. The UIC [ M ( Q1, Q3)] for the PTC group and benign thyroid nodule group were 143.36 (94.08, 227.94) and 146.28 (112.89, 236.07) μg/L, respectively, with statistically significant differences between the groups ( Z = 4.16, P = 0.042). Among PTC patients with different clinical pathological features, those with lymph node metastasis had higher FT 3 levels than those without lymph node metastasis ( t = 5.42, P = 0.021). The levels of TSH, TgAb, and TPOAb in patients with PTC combined with autoimmune thyroid disease (AITD) were higher than those without AITD ( Z = 11.87, 81.55, 475.96, P < 0.05). There was no statistically significant difference in the comparison of various blood lipid indicators ( P > 0.05). The correlation analysis showed that SIC in patients with thyroid nodules was positively correlated with FT 3, FT 4, ApoB, lipoprotein (a), NEFA, TG, LDL-C, and LDL-C/HDL-C ( P < 0.05). FT 3 was positively correlated with NEFA and LDL-C/HDL-C ( r = 0.12, 0.09, P < 0.05), and negatively correlated with ApoA1, TC, and HDL-C ( r = - 0.14, - 0.14, - 0.15, P < 0.001). FT 4 was positively correlated with NEFA ( r = 0.11, P < 0.001), and negatively correlated with TG ( r = - 0.10, P = 0.003). According to the iodine nutritional level, the ApoE level of PTC patients in the SIC < 45 μg/L group was higher than that in the 45 - 90 μg/L group ( P < 0.05). The levels of LDL-C and ApoB in patients with benign thyroid nodules in the SIC > 90 μg/L group were higher than those in the 45 - 90 μg/L group ( P < 0.05). The ApoE level of patients with benign thyroid nodules in the UIC < 100 μg/L group was significantly higher than that in the 100 - 299 and ≥300 μg/L groups ( P < 0.05). There was no statistically significant difference in thyroid function indicators of patients with PTC and benign thyroid nodules between different levels of SIC and UIC ( P > 0.05). Conclusions:Compared to benign thyroid nodules, PTC does not significantly affect patients' blood lipid levels. In patients with PTC and benign thyroid nodules, insufficient or excessive iodine nutrition can affect lipid metabolism.

Objective:To explore the relapse-related genes and their clinicopathological connections of diffuse large B cell lymphoma (DLBCL).Methods:Targeted panel sequencing was conducted on 32 eligible DLBCL samples; the patients were diagnosed, treated, and went into complete remission at the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2019, including 14 cases with recurrence (relapsed group) and 18 cases with long-term complete remission of over five years (remission group). Clinical and pathological data were further reviewed. Fisher′s exact test was employed to compare the differences in clinicopathological characteristics and mutation patterns between the two groups.Results:Among the 32 patients, there were 18 males and 14 females, with a male to female ratio of 1.3∶1.0 and a median age of 53 (45.5, 67.0) years. In the relapsed group, PIM1 (11/14), KMT2D (7/14), PRDM1 (6/14), MYD88 (6/14), DTX1 (6/14) emerged as the most frequently mutated genes. In the remission group, while recurrent PIM1, KMT2D and MYD88 mutations were also observed, the TP53 gene exhibited the highest mutation frequency (6/18). Compared to the remission group, relapsed group showed elevated mutation frequencies of PIM1 ( P=0.013) and FAT4 ( P=0.010), alongside a reduced incidence of TP53 mutations. In all 32 patients, DLBCL with CD79B, CCND3, DTX1, KMT2D and PRDM1 mutations demonstrated a propensity towards advanced clinicopathologic stage. Conclusions:Relapsed DLBCL has distinctive clinicopathological and genetic features. PIM1 and FAT4 may be served as potential biomarkers for screening relapsed DLBCL-NOS and as targets for novel therapeutic strategies.

Objective:To explore the relapse-related genes and their clinicopathological connections of diffuse large B cell lymphoma (DLBCL).Methods:Targeted panel sequencing was conducted on 32 eligible DLBCL samples; the patients were diagnosed, treated, and went into complete remission at the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2019, including 14 cases with recurrence (relapsed group) and 18 cases with long-term complete remission of over five years (remission group). Clinical and pathological data were further reviewed. Fisher′s exact test was employed to compare the differences in clinicopathological characteristics and mutation patterns between the two groups.Results:Among the 32 patients, there were 18 males and 14 females, with a male to female ratio of 1.3∶1.0 and a median age of 53 (45.5, 67.0) years. In the relapsed group, PIM1 (11/14), KMT2D (7/14), PRDM1 (6/14), MYD88 (6/14), DTX1 (6/14) emerged as the most frequently mutated genes. In the remission group, while recurrent PIM1, KMT2D and MYD88 mutations were also observed, the TP53 gene exhibited the highest mutation frequency (6/18). Compared to the remission group, relapsed group showed elevated mutation frequencies of PIM1 ( P=0.013) and FAT4 ( P=0.010), alongside a reduced incidence of TP53 mutations. In all 32 patients, DLBCL with CD79B, CCND3, DTX1, KMT2D and PRDM1 mutations demonstrated a propensity towards advanced clinicopathologic stage. Conclusions:Relapsed DLBCL has distinctive clinicopathological and genetic features. PIM1 and FAT4 may be served as potential biomarkers for screening relapsed DLBCL-NOS and as targets for novel therapeutic strategies.

Osteofascial compartment syndrome(OCS)is a serious complication frequently occurring in the orthopedic department,and delayed treatment may result in irreversible limb damage.With the increase of traffic trauma accidents in modern times,the incidence and disability risk of OCS have increased,so it has been widely concerned by medicine.Based on the clinical characteristics of OCS in traditional Chinese and Western medicine,this paper summarized the commonly used animal models of OCS by referring to CNKI and PubMed literature,and evaluated the data of the animal models'coincidence in combination with clinical diagnostic criteria,analyzed the comprehensive characteristics of the models,and provided a feasible reference for the animal models in the treatment of OCS in modern traditional Chinese and Western medicine.The results showed that the most commonly used OCS model was the rabbit model,which was constructed with pressure damage.Most of the methods are provided by foreign research institutes,but there is no research on the model of combining disease and syndrome of OCS with traditional Chinese and Western medicine,which brings certain obstacles to disease research.Therefore,this study summarized the advantages and disadvantages of the existing model of OCS through a large number of literature analysis,and put forward suggestions for the preparation of the model of combining traditional Chinese and Western medicine with fundamental theories of traditional Chinese and Western medicine.

Hepatocellular carcinoma(HCC),as the most common type of liver cancer,poses a significant threat to global public health due to its high incidence and mortality rates.This paper delves into the etiology,pathogenesis,and syndrome differentiation of liver cancer from the perspective of"dispersing qi and fortifying the body resistance",based on the clinical experience of renowned traditional Chinese medicine(TCM)practitioner,Prof.Changquan Ling.Prof.Ling believes that the development of liver cancer is closely related to the disruption of liver qi flow,the accumulation of blood stasis over time,and the generation of toxin from long-term stagnation,accompanied by pathological changes such as imbalance of yin and yang,deficiency of the body's vital qi and accumulation of pathogenic factors,and internal blazing of cancer toxins.In terms of treatment,he emphasizes the principles of dispersing qi and fortifying the body resistance,addressing both the root cause and symptoms.This is achieved by regulating the functions of viscera,improving the stagnation of qi flow,and supplemented by methods such as clearing heat and detoxifying,and softening and dispersing hard masses,aiming to break the vicious cycle of qi stagnation,deficiency of vital qi,and pathogenic factor generation,thereby promoting the recovery from the disease.Through detailed analysis of clinical cases,this paper demonstrates Prof.Ling's unique insights and significant efficacy in treating liver cancer through"dispersing qi"to"fortify the body resistance",ultimately achieving"tumor suppression".This provides new references and perspectives for the clinical diagnosis and treatment of liver cancer in TCM.