Objective:To investigate the value of transabdominal bowel ultrasonography (TBUS) in evaluating the active phase of Crohn′s disease (CD) and its complications, and to compare the diagnostic efficacy of the international bowel ultrasound segmental activity score (IBUS-SAS) and the multidetector computed tomography enterography (MDCTE) score in the active phase.Methods:A totle of 103 CD patients who were admitted to the Nanjing Drum Tower Hospital from March 2021 to May 2023 were retrospectively analyzed. All patients underwent TBUS and MDCTE examinations. TBU parameters such as bowel wall thickness (BWT), color Doppler imaging signal (CDS), inflammatory fat (i-fat), and bowel wall stratification (BWS) were recorded. The patients were divided into the remission group and the active group based on the Crohn′s disease activity index. The latter group was further divided into the mild active group and the moderate-to-severe active group.Receiver operating characteristic curves (ROC) were plotted, and the diagnostic efficacy of TBUS parameters and two scoring systems in assessment of the active phase of CD was evaluated by sensitivity, specificity, area under the curve (AUC), and optimal cut-off values. Endoscopic or histopathological results were served as the gold standard for the diagnosis of intestinal strictures. The diagnostic efficacy of TBUS and MDCTE in CD complicated with intestinal stenosis were evaluated by ROC analysis. Spearman correlation analysis was performed to analyze the correlation between TBUS parameters, imaging scores, and clinical laboratory indicators such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and faecal calprotectin (FC).Results:In distinguishing the active phase and the remission phase of CD, BWT (a sensitivity of 85.7%, specificity of 90.9%, and cut-off value of 4.4 mm), CDS (a sensitivity of 95.7%, and specificity of 63.6%), IBUS-SAS (a sensitivity of 91.4%, specificity of 84.8%, and cut-off value of 23.8), and MDCTE score (a sensitivity of 77.1%, specificity of 75.8%, and cut-off value of 6.5) had high diagnostic efficacies. In distinguishing mild and moderate-severe active phases of CD, BWT, CDS and i-fat demonstrated high sensitivity (81.4%, 69.8% and 62.8%) and specificity (81.5%, 77.8% and 100.0%); IBUS-SAS (a sensitivity of 83.7%, specificity of 88.9%, and cut-off value of 40.0) and MDCTE score (a sensitivity of 83.7%, specificity of 85.2%, and cut-off value of8.5) had high diagnostic efficacy. In the diagnosis of CD complicated with intestinal stenosis, the AUC, sensitivity, specificity, and accuracy of MDCTE was 0.942, 94.0%, 94.3%, and 94.2%, respectively. The AUC, sensitivity, specificity, and accuracy of TBUS in the diagnosis of CD complicated with intestinal stenosis was 0.952, 96.0%, 94.3%, and 95.1%, respectively. The results of Spearman correlation analysis revealed that BWT, CDS, and i-fat have positively correlated with ESR, CRP, and FC ( r value: 0.252 to 0.451, all P<0.05). Conclusions:TBUS demonstrates good application value in evaluating the activity of CD and intestinal stenosis. IBUS-SAS has the potential application for precise assessment of CD activity.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

Objective To explore the value of high-frequency ultrasound in the detection of metastatic hepatocellular carcinoma and displaying lesion characteristics. Methods A total of 38 paitients with hepatocellular carcinoma satellite lesions within 40 mm of subcutaneous tissue were underwent low-frequency (1-5 MHz) and high-frequency (6-9 MHz) ultrasound. Detection rates and ultrasonic features were compared. Results High-frequency grayscale ultrasound had a higher detection rate (71.1% vs. 36.8%, P＜0.001). Subgroup analysis showed higher detection rates with chemotherapy history (88.9% vs. 33.3%, P＝0.002), fatty liver (71.9% vs 31.3%, P＜0.001) or superficial lesion (within 20 mm, 76.5% vs 41.2%, P＝0.031). High-frequency ultrasound also showed clearer margins (P＝0.004) and more arterial-phase rim enhancement (P＝0.007). Conclusions 6-9 MHz ultrasound detects metastatic hepatocellular carcinoma, especially superficial lesions, more effectively than 1-5 MHz ultrasound and better visualizes characteristics.

Objective:To investigate the predictive value of conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images for the efficacy of neoadjuvant therapy in triple negative breast cancer（TNBC），and to construct a combined model.Methods:A total of 122 patients diagnosed with TNBC and admitted to Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University between April 2020 and December 2023 were retrospectively selected as study subjects. All patients underwent surgical resection after neoadjuvant therapy and were categorized into two groups：50 cases in the pathological complete remission（pCR）group and 72 cases in the non-pCR group according to surgical pathology. A comprehensive array of clinical data，along with conventional ultrasound imaging findings，was systematically collected from patients prior to treatment and at the conclusion of the second cycle of treatment. The region of interest（ROI）was delineated on the baseline two-dimensional gray-scale ultrasound image using 3D Slicer software on the maximum long-axis section of the lesion. The peri-tumor area was obtained by circularly expanding outward by 5 mm，and the imaging histological features were extracted separately. The dataset was then randomly partitioned into a training set and a validation set，with a ratio of 7∶3. The χ2/ t/Mann-Whitney U tests were used for intergroup comparison of general information. Maximum correlation minimum redundancy and least absolute shrinkage and selection operator regression were used to screen the optimal radiomics feature set，respectively. Variables that exhibited statistically significant differences between group comparisons were then employed to construct combined models，incorporating intratumor and peritumor ultrasonographic models. The predictive efficacy，accuracy，and clinical utility of the models were assessed using ROC curves，calibration curves，and decision curve analysis（DCA），respectively. Results:Subsequent between-group comparisons and multifactorial Logistic regression analysis identified blood flow（ OR=0.213，95% CI=0.062-0.735）and change rate of length diameter（ OR=1.091，95% CI=1.013-1.175）as independent risk factors for predicting pCR. A total of seven and eight radiomics features from each of the intratumoral and peritumoral regions were screened for the construction of intratumoral imaging histology score（RS）and peritumoral RS. The Nomogram model was constructed by combining the blood flow，change rate of length diameter，intratumoral RS，and peritumoral RS，and its AUC values in the training and validation sets were 0.884（95% CI=0.815-0.953）and 0.841（95% CI=0.683-0.940），respectively. The calibration curves demonstrated the Nomogram model's exceptional precision，with a C-index of 0.860 and 0.782 for the training and validation sets，respectively. The DCA revealed that the Nomogram model exhibited the optimal net clinical benefit. Conclusions:Conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images have been shown to possess satisfactory predictive value for the efficacy of neoadjuvant therapy in TNBC，thereby facilitating clinical decision-making.

Objective:To explore the differences between clinical-pathological-ultrasound features in hepatocellular carcinoma（HCC）with negative and positive des-gamma-carboxy prothrombin（DCP）.Methods:A retrospective analysis was conducted on 649 patients with pathologically confirmed HCC at Zhongshan Hospital，Fudan University from April 2020 to May 2024. Patients were stratified into DCP-negative（177 cases，<40 mAU/ml）and DCP-positive（472 cases，≥40 mAU/ml）groups. Clinical data，pathological features，and ultrasound findings were collected. Conventional ultrasound and contrast-enhanced ultrasound（CEUS）imaging characteristics were analyzed and compared between the two groups，and the correlation between ultrasound features and pathological characteristics were analyzed.Results:The DCP-negative group exhibited a lower incidence of microvascular invasion（10.17% vs. 34.75%， P<0.001）and smaller median tumor diameter（23 mm vs. 40 mm， P<0.001）. Heterogeneous internal echogenicity was less frequent in DCP-negative tumors［48.59%（86/177） vs. 74.58%（352/472）， P<0.001］. CEUS revealed higher rates of arterial-phase iso-enhancement（6.78% vs. 1.69%）and absence of washout（13.56% vs. 4.45%）in DCP-negative HCC（both P<0.001）. CEUS LI-RADS classification showed fewer LR-5 lesions［50.85%（90/177） vs. 59.53%（281/472）］in DCP-negative group（ P<0.001）. Conclusions:HCC with different DCP states has different clinical-pathological-ultrasound features. DCP-negative HCCs are more likely to show atypical enhancement patterns characteristic of HCC.

Objective:To investigate the predictive value of conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images for the efficacy of neoadjuvant therapy in triple negative breast cancer（TNBC），and to construct a combined model.Methods:A total of 122 patients diagnosed with TNBC and admitted to Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University between April 2020 and December 2023 were retrospectively selected as study subjects. All patients underwent surgical resection after neoadjuvant therapy and were categorized into two groups：50 cases in the pathological complete remission（pCR）group and 72 cases in the non-pCR group according to surgical pathology. A comprehensive array of clinical data，along with conventional ultrasound imaging findings，was systematically collected from patients prior to treatment and at the conclusion of the second cycle of treatment. The region of interest（ROI）was delineated on the baseline two-dimensional gray-scale ultrasound image using 3D Slicer software on the maximum long-axis section of the lesion. The peri-tumor area was obtained by circularly expanding outward by 5 mm，and the imaging histological features were extracted separately. The dataset was then randomly partitioned into a training set and a validation set，with a ratio of 7∶3. The χ2/ t/Mann-Whitney U tests were used for intergroup comparison of general information. Maximum correlation minimum redundancy and least absolute shrinkage and selection operator regression were used to screen the optimal radiomics feature set，respectively. Variables that exhibited statistically significant differences between group comparisons were then employed to construct combined models，incorporating intratumor and peritumor ultrasonographic models. The predictive efficacy，accuracy，and clinical utility of the models were assessed using ROC curves，calibration curves，and decision curve analysis（DCA），respectively. Results:Subsequent between-group comparisons and multifactorial Logistic regression analysis identified blood flow（ OR=0.213，95% CI=0.062-0.735）and change rate of length diameter（ OR=1.091，95% CI=1.013-1.175）as independent risk factors for predicting pCR. A total of seven and eight radiomics features from each of the intratumoral and peritumoral regions were screened for the construction of intratumoral imaging histology score（RS）and peritumoral RS. The Nomogram model was constructed by combining the blood flow，change rate of length diameter，intratumoral RS，and peritumoral RS，and its AUC values in the training and validation sets were 0.884（95% CI=0.815-0.953）and 0.841（95% CI=0.683-0.940），respectively. The calibration curves demonstrated the Nomogram model's exceptional precision，with a C-index of 0.860 and 0.782 for the training and validation sets，respectively. The DCA revealed that the Nomogram model exhibited the optimal net clinical benefit. Conclusions:Conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images have been shown to possess satisfactory predictive value for the efficacy of neoadjuvant therapy in TNBC，thereby facilitating clinical decision-making.

Objective:To explore the differences between clinical-pathological-ultrasound features in hepatocellular carcinoma（HCC）with negative and positive des-gamma-carboxy prothrombin（DCP）.Methods:A retrospective analysis was conducted on 649 patients with pathologically confirmed HCC at Zhongshan Hospital，Fudan University from April 2020 to May 2024. Patients were stratified into DCP-negative（177 cases，<40 mAU/ml）and DCP-positive（472 cases，≥40 mAU/ml）groups. Clinical data，pathological features，and ultrasound findings were collected. Conventional ultrasound and contrast-enhanced ultrasound（CEUS）imaging characteristics were analyzed and compared between the two groups，and the correlation between ultrasound features and pathological characteristics were analyzed.Results:The DCP-negative group exhibited a lower incidence of microvascular invasion（10.17% vs. 34.75%， P<0.001）and smaller median tumor diameter（23 mm vs. 40 mm， P<0.001）. Heterogeneous internal echogenicity was less frequent in DCP-negative tumors［48.59%（86/177） vs. 74.58%（352/472）， P<0.001］. CEUS revealed higher rates of arterial-phase iso-enhancement（6.78% vs. 1.69%）and absence of washout（13.56% vs. 4.45%）in DCP-negative HCC（both P<0.001）. CEUS LI-RADS classification showed fewer LR-5 lesions［50.85%（90/177） vs. 59.53%（281/472）］in DCP-negative group（ P<0.001）. Conclusions:HCC with different DCP states has different clinical-pathological-ultrasound features. DCP-negative HCCs are more likely to show atypical enhancement patterns characteristic of HCC.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

Objective:To investigate the value of transabdominal bowel ultrasonography (TBUS) in evaluating the active phase of Crohn′s disease (CD) and its complications, and to compare the diagnostic efficacy of the international bowel ultrasound segmental activity score (IBUS-SAS) and the multidetector computed tomography enterography (MDCTE) score in the active phase.Methods:A totle of 103 CD patients who were admitted to the Nanjing Drum Tower Hospital from March 2021 to May 2023 were retrospectively analyzed. All patients underwent TBUS and MDCTE examinations. TBU parameters such as bowel wall thickness (BWT), color Doppler imaging signal (CDS), inflammatory fat (i-fat), and bowel wall stratification (BWS) were recorded. The patients were divided into the remission group and the active group based on the Crohn′s disease activity index. The latter group was further divided into the mild active group and the moderate-to-severe active group.Receiver operating characteristic curves (ROC) were plotted, and the diagnostic efficacy of TBUS parameters and two scoring systems in assessment of the active phase of CD was evaluated by sensitivity, specificity, area under the curve (AUC), and optimal cut-off values. Endoscopic or histopathological results were served as the gold standard for the diagnosis of intestinal strictures. The diagnostic efficacy of TBUS and MDCTE in CD complicated with intestinal stenosis were evaluated by ROC analysis. Spearman correlation analysis was performed to analyze the correlation between TBUS parameters, imaging scores, and clinical laboratory indicators such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and faecal calprotectin (FC).Results:In distinguishing the active phase and the remission phase of CD, BWT (a sensitivity of 85.7%, specificity of 90.9%, and cut-off value of 4.4 mm), CDS (a sensitivity of 95.7%, and specificity of 63.6%), IBUS-SAS (a sensitivity of 91.4%, specificity of 84.8%, and cut-off value of 23.8), and MDCTE score (a sensitivity of 77.1%, specificity of 75.8%, and cut-off value of 6.5) had high diagnostic efficacies. In distinguishing mild and moderate-severe active phases of CD, BWT, CDS and i-fat demonstrated high sensitivity (81.4%, 69.8% and 62.8%) and specificity (81.5%, 77.8% and 100.0%); IBUS-SAS (a sensitivity of 83.7%, specificity of 88.9%, and cut-off value of 40.0) and MDCTE score (a sensitivity of 83.7%, specificity of 85.2%, and cut-off value of8.5) had high diagnostic efficacy. In the diagnosis of CD complicated with intestinal stenosis, the AUC, sensitivity, specificity, and accuracy of MDCTE was 0.942, 94.0%, 94.3%, and 94.2%, respectively. The AUC, sensitivity, specificity, and accuracy of TBUS in the diagnosis of CD complicated with intestinal stenosis was 0.952, 96.0%, 94.3%, and 95.1%, respectively. The results of Spearman correlation analysis revealed that BWT, CDS, and i-fat have positively correlated with ESR, CRP, and FC ( r value: 0.252 to 0.451, all P<0.05). Conclusions:TBUS demonstrates good application value in evaluating the activity of CD and intestinal stenosis. IBUS-SAS has the potential application for precise assessment of CD activity.

Objective:To establish a nomogram for preoperative differentiating intrahepatic cholangiocarcinoma (ICC) from hepatocellular carcinoma (HCC) based on clinical, ultrasound, and contrast-enhanced ultrasound (CEUS) data.Methods:A retrospective analysis was conducted on ultrasound and CEUS data of 462 patients who underwent hepatectomy in Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School from January 2016 to December 2023, including 262 cases of HCC (56.7%) and 200 cases of ICC (43.3%). The data were randomly divided into training set ( n=324) and validation set ( n=138) in a 7∶3 ratio. Univariate analysis was used to initially screen for variables with statistically significant differences between HCC and ICC groups in the training set, and LASSO regression was performed to select the variables with higher coefficients. Logistic regression analyses were then used to predict independent risk factors for ICC. A nomogram was drawn using R software. The performance of the nomogram was then validated using ROC curve, calibration curve, and decision curve analysis (DCA). Results:Univariate analysis showed that there were significant differences in age, gender, liver cirrhosis, HBsAg (+ ), ALP >185 U/L, CA19-9 >27 kU/L, CA242>10 kU/L, irregular shape, border, cholangiectasis, portal vein tumor thrombus, enhanced pattern in arterial phase, clearance time <60 s, intra-tumoral vein between ICC and HCC groups (all P<0.05). The top 10 features were selected for LASSO regression analysis. Logistic regression analysis revealed that gender, cirrhosis, CA19-9>27 kU/L, CA242>10 kU/L, cholangiectasis, clearance time <60 s, intra-tumoral vein and enhanced pattern in arterial phase were risk factors for ICC (all P<0.05). The area under the ROC curve in the training and validation groups were 0.963 and 0.914, respectively. In the training group, the specificity and sensitivity of the nomogram were 0.926 and 0.917, respectively, and in the validation group, they were 0.875 and 0.871, respectively. The calibration curve showed that the prediction effect of the model was in good agreement with the actual situation. DCA showed that the nomogram could increase the net benefit to the different diagnosis of ICC in patients. Conclusions:The nomogram based on clinical, ultrasound and CEUS features has a good predictive value for preoperative identification of ICC and provides reliable evidence for clinical practice.