A radiomics model of contrast-enhanced computed tomography for predicting post-acute pancreatitis diabetes mellitus.

Background: Diabetes mellitus can occur after acute pancreatitis (AP), but the accurate quantitative methods to predict post-acute pancreatitis diabetes mellitus (PPDM-A) are lacking. This retrospective study aimed to establish a radiomics model based on contrast-enhanced computed tomography (CECT) for predicting PPDM-A. Methods: A total of 374 patients with first-episode AP were retrospectively enrolled from two tertiary referral centers. There were 224 patients in the training cohort, 56 in the internal validation cohort, and 94 in the external validation cohort, and there were 86, 22, and 27 patients with PPDM-A in these cohorts, respectively. The clinical characteristics were collected from the hospital information system. A total of 2,398 radiomics features, including shape-based features, first-order histogram features, high order textural features, and transformed features, were extracted from the arterial- and venous-phase CECT images. Intraclass correlation coefficients were used to assess the intraobserver reliability and interobserver agreement. Random forest-based recursive feature elimination, collinearity analysis, and least absolute shrinkage and selection operator (LASSO) were used for selecting the final features. Three classification methods [eXtreme Gradient Boosting (XGBoost), Adaptive Boosting, and Decision Tree] were used to build three models and performances of the three models were compared. Each of the three classification methods were used to establish the clinical model, radiomics model, and combined model for predicting PPDM-A, resulting in a total of nine classifiers. The predictive performances of the models were evaluated by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1-score. Results: Eleven radiomics features were selected after a reproducibility test and dimensionality reduction. Among the three classification methods, the XGBoost classifier showed better and more consistent performances. The AUC of the XGBoost's radiomics model to predict PPDM-A in the training, internal, and external cohorts was good (0.964, 0.901, and 0.857, respectively). The AUC of the XGBoost's combined model to predict PPDM-A in the training, internal, and external cohorts was good (0.980, 0.901, and 0.882, respectively). The AUC of the XGBoost's clinical model to predict PPDM-A in the training, internal, and external cohorts did not perform well (0.685, 0.733, and 0.619, respectively). In the external validation cohort, the AUC of the XGBoost's radiomics model was significantly higher than that of the clinical model (0.857 vs. 0.619, P<0.001), but there was no significant difference between the combined and radiomics models (0.882 vs. 0.857, P=0.317). Conclusions: The radiomics model based on CECT performs well and can be used as an early quantitative method to predict the occurrence of PPDM-A.

Mono+ algorithm assessment of the diagnostic value of dual-energy CT for high-risk factors for colorectal cancer: a preliminary study.

Background: Risk factors for colorectal cancer (CRC) affect the way patients are subsequently treated and their prognosis. Dual-energy computerized tomography (DECT) is an advanced imaging technique that enables the quantitative evaluation of lesions. This study aimed to evaluate the quality of DECT images based on the Mono+ algorithm in CRC, and based on this, to assess the value of DECT in the diagnosis of CRC risk factors. Methods: This prospective study was performed from 2021 to 2023. A dual-phase DECT protocol was established for consecutive patients with primary CRC. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), overall image quality, lesion delineation, and image noise of the dual-phase DECT images were assessed. Next, the optimal energy-level image was selected to analyze the iodine concentration (IC), normalized iodine concentration (NIC), effective atomic number, electron density, dual-energy index (DEI), and slope of the energy spectrum curve within the tumor for the high- and low-risk CRC groups. A multifactor binary logistic regression analysis was used to construct a differential diagnostic regression model for high- and low-risk CRC, receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated to assess the diagnostic value of the model. Results: A total of 74 patients were enrolled in this study, of whom 41 had high-risk factors and 33 had low-risk factors. The SNR and CNR were best at 40 keV virtual monoenergetic imaging (VMI) based on the Mono+ algorithm (VMI+) (SNR 8.79±1.27, P<0.001; CNR 14.89±1.77, P=0.027). The overall image quality and lesion contours were best at 60 keV VMI+ and 40 keV VMI+, respectively (P=0.001). Among all the DECT parameters, the arterial phase (AP)-IC, NIC, DEI, energy spectrum curve, and venous phase-NIC differed significantly between the two groups. The AP-IC was the optimal DECT parameter for predicting high- and low-risk CRC with AUC, sensitivity, specificity, and cut-off values of 0.96, 97.06%, 87.80%, and 2.94, respectively, and the 95% confidence interval (CI) of the AUC was 0.88-0.99. Integrating the clinical factors and DECT parameters, the AUC, sensitivity, specificity, and predictive accuracy of the model were 0.99, 100.00%, 92.68%, and 94.67%, respectively, and the 95% CI of the AUC was 0.93-1.00. Conclusions: The DECT parameters based on 40 keV noise-optimized VMI+ reconstruction images depicted the CRC tumors best, and the clinical DECT model may have significant implications for the preoperative prediction of high-risk factors in CRC patients.

The Value of Proton Magnetic Resonance Spectroscopy in High-Intensity Focused Ultrasound Treatment of Experimental Liver Cancer.

High-intensity focused ultrasound (HIFU) is a rapidly developing, non-invasive technique for local treatment of solid tumors that produce coagulative tumor necrosis. This study is aimed to investigate the feasibility of proton magnetic resonance spectroscopy (MRS) on early assessing treatment of HIFU ablation in rabbit with VX2 liver tumor. HIFU ablation was performed on normal liver and VX2 tumor in rabbit, and MRS was performed on normal liver and VX2 tumor before and 2 days after 100% HIFU ablation or 80% ablation in tumor volume. Choline (Cho) and choline/lipid (Cho/Lip) ratios between complete and partial HIFU ablation of tumor were compared. Tissues were harvested and sequentially sliced to confirm the necrosis. In normal liver, the Cho value liver was not obviously changed after HIFU (P > .05), but the Cho/Lip ratio was decreased (P < .05). Cho in liver VX2 tumor was much higher than that in normal liver (P < .001). Cho and Cho/Lip ratio were significantly decreased in tumor after complete HIFU ablation and partial HIFU ablation, and the Cho value in complete HIFU tumor ablation did not show any difference from that in normal liver after HIFU (P > .05); however, the Cho value in partial ablation was still higher than that in normal liver before or in tumor after complete HIFU treatment due to the residual part of tumors, and Cho/Lip ratio is lower than that in complete HIFU treatment (P < .001). The changes in MRS parameters were consistent with histopathologic changes of the tumor tissues after treatment. MRS could differentiate the complete tumor necrosis from residual tumor tissue, when combined with magnetic resonance imaging. We conclude that MRS may be applied as an important, non-invasive biomarker for monitoring the thoroughness of HIFU ablation.

Chronic hepatitis B: Enlarged perihepatic lymph nodes correlated with hepatic histopathology.

AIM: To assess the value of enlarged perihepatic lymph nodes in determining hepatic histopathology for chronic hepatitis B (CHB) by magnetic resonance imaging (MRI). METHODS: Sixty-seven patients who were clinically and histologically diagnosed with CHB and 18 healthy subjects without history of liver disease underwent abdominal MRI. Histological diagnosis and hepatic inflammation (grade 0-4) and fibrosis (stage 0-4) were assessed by a simplified system for scoring in chronic viral hepatitis. The major imaging protocol included an axial breath-hold fat suppressed fast spoiled gradient echo T2-weighted imaging (T2WI), axial breath-trigger fat suppressed fast recovery fast spin echo T2WI, and axial and coronal fast imaging employing steady-state acquisition. Perihepatic lymph nodes larger than 5 mm in shortest diameter were noted. RESULTS: The numbers and size indexes of lymph nodes greater than 5 mm in shortest diameter in hepatic hilum suggested inflammatory activity for subjects with grade 2 or higher, with a high accuracy of diagnosis (the area under the curves > 0.9, P < 0.001). The numbers of lymph nodes were 2 or more with a sensitivity of 87.27%, a specificity of 90.00%, an accuracy of 88.24%, a positive predictive value of 94.12%, and a negative predictive value of 79.41% in patients with grade 2 or higher, and the size indexes were no less than 180 mm(2) with a sensitivity of 83.64%, a specificity of 100%, an accuracy of 89.41%, a positive predictive value of 100%, and a negative predictive value of 76.92%. The numbers and size indexes of lymph nodes were not correlated with hepatic fibrosis. The signal intensity indexes of lymph nodes were no significant correlation with histological grading or staging of liver. CONCLUSION: The numbers and size indexes of enlarged perihepatic lymph nodes for patients with CHB suggest inflammatory activity for subjects with grade 2 or higher.

Oedema of gallbladder wall: correlation with chronic hepatitis B on MR imaging.

PURPOSE: The aim of this study was to characterise gallbladder wall oedema and correlate it with chronic hepatitis B (CHB) on magnetic resonance (MR) imaging. MATERIALS AND METHODS: Sixty-seven patients who were clinically and histologically diagnosed with CHB and 18 healthy individuals without any history of liver disease underwent abdominal MR imaging. Hepatic inflammation (grade 0-4) and fibrosis (stage 0-4) for patients were assessed histologically. Gallbladder wall oedema was noted. RESULTS: Twelve patients showed gallbladder wall oedema on MR imaging, including six with grade 3 and six with grade 4 disease. There was a statistically significant difference for the presence of gallbladder wall oedema among groups with grade 0-4 (p=0.000), but not between groups with grades 3 and 4 (p=0.729). Gallbladder wall oedema was related to moderate-severe inflammatory activity (p<0.05), alanine transaminase (ALT) (p=0.012) and aspartate aminotransferase (AST) (p=0.027) levels but not to fibrosis or other laboratory data, including serum quantitative DNA for hepatitis B virus (HBV), with the p=0.105-0.846. Sensitivity and specificity for the diagnosis of hepatic moderate-severe inflammation using gallbladder wall oedema were 33.33% and 100%, respectively. CONCLUSIONS: Gallbladder wall oedema for patients with CHB can be specifically demonstrated on MR imaging and is correlated with hepatic moderate-severe inflammatory activity, elevated ALT and AST levels but not with fibrosis or other laboratory data, including viremia.

[1H magnetic resonance spectroscopy in the evaluation of high intensity focused ultrasound ablation for primary liver cancer].

To investigate the clinical value of 1H magnetic resonance spectroscopy (1H MRS) in the evaluation of high intensity focused ultrasound (HIFU) ablation for primary liver cancer. Routine magnetic resonance sequences, contrast-enhanced magnetic resonance imaging and respiratory-triggered single voxel point resolved spectroscopy sequence (PRESS) were performed on 24 patients with primary liver cancer before and after HIFU ablation. A respiratory-triggered axial T2 weighted imaging (T2WI) was used as localizer for PRESS. Spectroscopy data was transmitted to a personal computer and was post-processed with a custom software (Saker, provided by Ning Jing, an engineer in GE Healthcare). It would be considered "technical success" if the baselines of spectra were stable and main metabolites were without overlapping and could be identified. Integral areas of choline (Cho) peak at 3.2 parts per million (ppm) and lipid (Lip) peak at 1.3 ppm were measured, and the choline to lipid (Cho/Lip) ratios were calculated. The differences of areas of Cho, Lip peak and Cho/Lip ratios before and after HIFU ablation were compared by using paired samples t test, and a P value of less than 0.05 was considered statistically significant. The technical success rate of 1H-MRS was 87.50% (42/48). Integral areas of Cho peak and Lip peak of 20 patients with satisfied spectra were measured, and the Cho/Lip ratios were calculated. The Integral area of Cho peak decreased from 34 597+/-6 802 before HIFU ablation to 6 372+/-2 466 after HIFU ablation (t = 18.02, P less than 0.01). The Integral area of Lip peak increased from 147 948+/-16 317 before HIFU ablation to 149 069+/-16 345 after HIFU ablation (t = -15.11, P less than 0.01). The Cho/Lip ratio decreased from 0.23+/-0.03 before HIFU ablation to 0.04+/-0.02 after HIFU ablation (t = 25.32, P less than 0.01). 1H-MRS could provide information of metabolites changes of primary liver cancer after HIFU ablation and could be used as a complementary sequence to other magnetic resonance sequences to evaluate all around primary liver cancer after HIFU ablation.

[The application of 3D liver acquisition volume acceleration integrated with array spatial sensitivity encoding technique in liver dynamic-enhancement scanning].

OBJECTIVE: To evaluate the application of 3D liver acquisition volume acceleration (3D-LAVA) integrated with array spatial sensitivity encoding technique (ASSET) in liver dynamic-enhancement scanning. METHODS: One hundred forty-seven patients underwent conventional plain and contrast enhancement liver MR imaging. 3D-LAVA and 2D fast spoiled gradient recalled echo were used for contrast enhancement liver MR scanning in 90 and 57 patients respectively. In the 3D-LAVA group, integrated ASSET was used in 72 out of the 90 patients. Of the 57 patients who underwent examinations using 2D fast spoiled gradient recalled echo, portal vein CE-MRA was performed on 20. The ability of 3D-LAVA to detect the lesions and the advantage to shorten the acquisition time after integrating with ASSET were analyzed. Original images of 60 patients in the 3D-LAVA group were processed using MIP to illustrate the anatomy of the portal vein. They were compared with those shown by CE-MRA to evaluate the illustration abilities of the two approaches. RESULTS: 3D-LAVA is more sensitive than 2D-FSPGR in detecting metastatic hepatic carcinomas. In the 3D-LAVA group integrated with ASSET, earlier and peak arterial phase images were acquired in 34 cases; and earlier, peak and late arterial phase images were acquired in 23 cases. The illustrations of the portal vein anatomy by 3D-LAVA were similar to those shown by portal vein CE-MRA. CONCLUSION: 3D-LAVA integrated with ASSET can obtain higher quality multi-phase dynamic enhancement images of the liver in a shorter time, and in the meantime also shows the vascular anatomy.