[Objective] To explore the clinical features of IgG4-related urinary diseases so as to provide reference for the diagnosis and treatment of such diseases. [Methods] The clinical data of 4 cases of IgG4-related urinary system diseases diagnosed and treated in Xijing Hospital of Air Force Medical University during Aug.2019 and Dec.2023 were retrospectively collected.Here, we report on the diagnosis and treatment of these patients, analysing their symptoms, serology, imaging and pathology as well as their treatment and outcomes. [Results] The patients included 2 male and 2 female.The lesions were involved with the retroperitoneum and urinary system.Three patients had symptoms of lumbar pain.The imaging manifestations were complex, including retroperitoneal mass involving urinary system organs in 2 cases, tabdense shadow of the right kidney in 1 case, and simple cystic mass of kidney in 1 case.Serum IgG4 value was not detected before surgery.All patients underwent radical surgical treatment.Postoperative pathology showed fibrous tissue hyperplasia with a large number of plasma cells, lymphocytes, a few neutrophil infiltrates, and lymphoid follicles and obliterated vasculitis in some specimens.The number of IgG4⁺ plasma cells was more than 10 in all tissues under high power microscope.After surgery, 3 patients had symptoms improved, and serum IgG4 value was within the normal range; 1 patient (patem 3) had elevated IgG4 value during follow-up, received subsequent hormone therapy, and the serum IgG 4 level remained stable. [Conclusion] The symptoms of IgG4-related diseases involving the urinary system are non-specific, and the imaging findings are various, easily confused with other diseases.Early detection of serum IgG4 and biopsy pathology can help clinicians make correct diagnosis in the early stage.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Gualou Niubangtang is a classic formula for eliminating swelling and dispersing lumps， commonly used in the clinical treatment of breast diseases in traditional Chinese medicine （TCM）. This paper employed bibliometric methods to collect and organize 12 pieces of data from ancient texts related to Gualou Niubangtang， ultimately screening 10 valid references from 10 ancient Chinese medical books. Information regarding the prescription origin， main indications， formulation principles， drug composition， dosages， preparation methods， and decoction techniques was systematically verified. The results indicate that Gualou Niubangtang originates from the Orthodox Manual of External Medicine （Wai Ke Zheng Zong） by Chen Shigong in the Ming Dynasty. The formula consists of 12 Chinese medicines， including Citri Reticulatae Pericarpium， Arctii Fructus， Gardeniae Fructus， Lonicerae Japonicae Flos， Glycyrrhizae Radix et Rhizoma， Trichosanthis Semen， Scutellariae Radix， Trichosanthis Radix， Forsythiae Fructus， Gleditsiae Spina， Bupleuri Radix， and Citri Reticulatae Pericarpium Viridm. In terms of drug origins， the dominant radical for Trichosanthis Semen and Trichosanthis Radix is Trichosanthes kirilowii， and the historical dominant radical for Glycyrrhizae Radix et Rhizoma is Glycyrrhiza uralensis. The nine medicines， Citri Reticulatae Pericarpium， Arctii Fructus， Gardeniae Fructus， Lonicerae Japonicae Flos， Scutellariae Radix， Forsythiae Fructus， Gleditsiae Spina， Bupleuri Radix， and Citri Reticulatae Pericarpium Viridm， are consistent with the 2020 edition of the Chinese Pharmacopoeia. The preparation methods involve frying Arctii Fructus， removing the heart from Forsythiae Fructus， while the remaining 10 medicines are used raw. The efficacy includes clearing heat， removing toxins， reducing swelling， and dispersing lumps. Clinically， it is used to treat conditions such as breast carbuncles， breast gangrene， and knot-like swellings and pain. The dosage， converted to modern standards， includes 3.73 g of Trichosanthis Semen， 3.73 g of Trichosanthis Radix， 3.73 g of Arctii Fructus， 3.73 g of Scutellariae Radix， 3.73 g of Gardeniae Fructus， 3.73 g of Forsythiae Fructus， 3.73 g of Gleditsiae Spina， 3.73 g of Lonicerae Japonicae Flos， 3.73 g of Glycyrrhizae Radix et Rhizoma， 3.73 g of Citri Reticulatae Pericarpium， 1.85 g of Citri Reticulatae Pericarpium Viridm， and 1.85 g of Bupleuri Radix. The preparation is in the form of a decoction， with the 12 medicines added to 400 mL of water and decocted until 160 mL. The liquid is then mixed with 200 mL of yellow wine and taken before meals three times a day. Through the excavation and organization of ancient literature regarding Gualou Niubangtang， key information has been identified to provide a scientific basis for its clinical application and further development.

Objective To explore the value of deep learning models in predicting axillary lymph node(ALN)metastasis of breast cancer based on intratumoral and peritumoral dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI).Methods A retrospective analysis was conducted on cases from Tianjin Medical University Cancer Hospital and Laoshan Branch of Affiliated Hospital of Qingdao University,involving a total of 850 lesions in 850 patients.The region of interest within the tumor was delineated at the largest area of the lesion on the first enhancement images and automatically expanded by 3 mm and 6 mm in a conformal fashion.Deep learning prediction models based on ResNet50 were developed via intratumoral,peritumoral,and intratumoral combined peritumoral models,respectively,and a comprehensive prediction model was developed by integrating semantic features of imaging reports.Cases from Tianjin Medical University Cancer Hospital were randomly divided into training and test cohorts in a 7∶3 ratio,while cases from Laoshan Branch of Affiliated Hospital of Qingdao University served as the external validation cohort.The area under the curve(AUC),accuracy,sensitivity,specificity,F1-score,and Brier-score were calculated,respectively.Results The model incorporating intratumoral,peritumoral(3 mm),and semantic features demonstrated the highest performance,with AUC of 0.801[95％confidence interval(CI)0.765-0.845],0.781(95％CI 0.745-0.817),and 0.752(95％CI 0.700-0.793)in the training cohort,test cohort,and external validation cohort,respectively,and there was no significant difference in AUC between combined model and intratumoral/peritumoral model,respectively,but it demonstrated the higher sensitivity and F1-score,and the lower Brier-score.Conclusion Incorporating peritumoral images into the conventional model based on intratumoral images enhanced the predictive ability of ALN metastasis in breast cancer.

Objective:To investigate the computed tomography(CT)and magnetic resonance imaging(MRI)features of retroperitoneal ded-ifferentiated liposarcoma(DDL),and improve the understanding of DDL and the accuracy of preoperative diagnosis.Methods:Clinical and imaging features of 25 patients with retroperitoneal DDL from Tianjin Medical University Cancer Institute&Hospital,confirmed by patho-logy from January 2012 to June 2022,were retrospectively analyzed.Results:Among 25 cases of retroperitoneal DDL,19 and 6 had single and multiple tumors,respectively and 10 and 15 were oval and irregular shaped tumors,respectively.Most lesions had unclear boundaries,with 15 cases invading the surrounding tissues and organs.Small vessel shadows were visible in 15 cases,while calcifications or ossifications were observed in 7 cases,and cystic necrosis was observed in only 3 cases.Enhanced scanning exhibits a centripetal and progressive con-tinuous augmentation characteristic defined as"slow in and slow out."According to its manifestations in CT and MRI,it can be divided into two types:type I(soft tissue mass type),where the tumor has a soft tissue component with no fat content(14 cases);and type Ⅱ(fat con-taining),where the tumors exhibit both soft tissue and adipose components,most of which are clearly defined and rarely present in a mosa-ic shape.In abnormal fat areas,cord-like fibrous septa can be seen.Among them,the intratumoral fat composition<50%was Ⅱa type(10 cases).Intratumor fat composition≥50%was type Ⅱb(1 case).Conclusions:Combined with imaging classification,a comprehensive ana-lysis of the CT and MRI imaging characteristics of retroperitoneal DDL is of great value for its preoperative qualitative diagnosis.

Objective:To study the predictive value of combining alpha-feto protein (AFP) with contrast-enhanced MRI imaging features in predicting incidence of microvascular invasion (MVI) in patients with hepatocellular carcinoma.Methods:The data of 206 patients with hepatocellular carcinoma treated at Tianjin Medical University Cancer Institute and Hospital from January 2017 to April 2019 were retrospectively analyzed. There were 179 males and 27 females, with an average age of 58.7 years. The roles of preoperative MRI imaging features and clinical data on predicting the incidence of MVI in patients with hepatocellular carcinoma were evaluated by univariate and multivariate logistic regression analyses. Multivariable regression analysis was then used to plot a nomogram.Results:There were 86 patients (41.7%) with MVI positivity and 120 patients (58.3%) with MVI negativity. Multivariate logistic regression analysis showed that AFP >400 μg/L ( OR=3.318, 95% CI: 1.243-8.855, P=0.017), two-trait predictor of venous invasion (TTPVI) ( OR=13.111, 95% CI: 6.797-28.119, P<0.001), diffusion weighted imaging/T 2 weighted imaging (DWI/T 2WI) mismatch ( OR=17.233, 95% CI: 4.731-44.490, P<0.001), and rim enhancement( OR=5.665, 95% CI: 2.579-18.152, P=0.013) predicted increased risks of MVI in patients with hepatocellular carcinoma. The constructed nomogram directly predicted the risk of MVI in these patients. Conclusions:AFP>400 μg/L, TTPVI, DWI/T 2WI mismatch and rim enhancement were independent risk factors in predicting MVI in patients with hepatocellular carcinoma. This predictive model of MVI which was based on multivariate logistic regression analysis was helpful to clinicians in making individualized treatment plans for patients with hepatocellular carcinoma.

Objective:To investigate the value of logistic regression model based on the features of cone-beam breast CT (CBBCT) for the identification of benign and malignant masses in dense breast.Methods:The data of 106 patients (130 masses) with dense breast who underwent contrast-enhanced CBBCT examination and obtained pathological results from May 2011 to August 2020 were retrospectively analyzed as the training set. From August 2020, the data of 49 patients (54 masses) who met the same criteria were prospectively and consecutively collected and used as the validation set. Taking pathological results as the gold standard, the training set was divided into benign and malignant groups. The t-test, χ 2 test and Fisher′s exact test were used to compare the differences in CBBCT image characteristics between the two groups in the training set. A binary logistic regression model was established by multivariate analysis. ROC curves were used to assess the diagnostic efficacy of the model as a whole in the training and validation sets and the diagnostic efficacy of each feature in the model, and the cut-off value of the intensity (ΔCT) value was determined. The H-L method was used to test the goodness of fit of the model. Decision curve analysis (DCA) was drawn to validate the clinical power of the model. Results:Univariate analysis showed that the breast parenchymal background enhancement (BPE), shape, margin, lobulation, spiculation, density, calcifications, ΔCT value, enhancement pattern, non-mass enhancement, ipsilateral increased vascularity (IIV), and peripheral vascular signs had statistical difference between benign group and malignant group ( P<0.05). BPE, margin, ΔCT value and IIV were included in the multivariate analysis, the equation was logit( P′)=-8.510+0.830×BPE+0.822×margin+1.919× ΔCT+1.896 × IIV. The are a under curve of the model in the training set was 0.879 ( P<0.001) and in the validation set was 0.851 ( P=0.001). The are a under curve of BPE, margin, ΔCT value, and IIV in the diagnosis of malignant mass were 0.645, 0.711, 0.712, 0.775 (all P<0.05); the best cut-off value of ΔCT was 50.38 HU. The fit of this model was good ( P = 0.776). The DCA curve showed that when the risk threshold was 0.05-0.97, the net benefit rate was>0, and this model had some clinical value. Conclusion:The logistic regression model based on the features of CBBCT is helpful to distinguish benign and malignant masses in dense breasts.

Objective:To explore whether botulinum toxin A (BTX-A) can improve the retention rate of fat transplantation in fat breast augmentation.Methods:Each patient was divided into control side and experimental side according to the random number table in 14 patients studied. The experimental group received autologous fat and BTX-A combined transplantation on both sides of the breast, while the control side only received autologous fat transplantation. The fat was added with the same volume of normal saline as BTX-A in the control group. All patients were followed up and the effects of BTX-A were evaluated objectively via the comparison of the remained bilateral fat graft volumes that were obtained through a digital three-dimensional reconstructions technique. Moreover, the improvement of each breast appearance and complication were assessed by the physician and patients who were blinded to the recipient treatment assignment.Results:The outcome of the fat breast augmentation was evident for both groups at the follow-up with no evidence of fat embolism, vascular/nervous injury, infection and prolonged bruising. In one of the 14 patients (control group), fat liquefaction necrosis occurred in one side of the breast; after active treatment, it returned to normal, and three patients had different degrees of mass. The analysis on the three-dimensional reconstruction data and the assessments from both the physicians and patients showed significant differences in the fat graft retention volume between the BTX-A group (51.10±20.56)% and the control group (33.06±14.77)%. Nevertheless, there was no significant difference in the incidence of complications between the two sides.Conclusions:Autogenous fat breast augmentation is safe and effective. This study result has shown that BTX-A can significantly improve the retention rate of fat transplantation but cannot reduce the incidence of complications.

Objective To explore the significance of preoperative MRI in the detection of gynecomastia before surgery.Methods From November 2016 to August 2018,we used preoperative MRI to determine surgical options to treat 38 cases of adolescent and post-adolescent patients with gynecomastia.After operation we followed up the patients for 6 months to 1 year.Results The breast had good shape,smooth chest wall,natural contour,and no complications such as hematoma,nipple and areola sensory disturbance.No surgical traces remained in the chest and no recurrence occurred during the follow-up.All patients were satisfied with the surgical effect and chest wall shape.Conclusions Preoperative MRI can clearly show the type of breast development,the proportion of fat and breast tissue,to guide the clinical personalized design of surgical procedures.It can be used as a routine pre operative examination for gynecomastia.