Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective:To evaluate the predictive value of preoperative frailty combined with nutritional status for prolonged postoperative ileus (PPOI) in the patients with gynecological malignancies.Methods:Patients undergoing elective surgery for gynecological malignancies in the Affiliated Hospital of Jiangnan University from April 2022 to February 2023 were selected. The Frail scale was used to evaluate the frailty within 24 h of admission, and the nutritional status was evaluated by the Controlling Nutritional Status score. The general characteristics of patients and occurrence of PPOI were recorded, and the risk factors for PPOI were analyzed by multivariate logistic regression. The ability of frailty, nutritional status and their combination to predict PPOI was assessed by the receiver operating characteristic curve.Results:Two hundred and fourteen patients were finally included, 52 cases developed of PPOI, and 98 cases were frail patients. Preoperative frailty combined with moderate to severe malnutrition was an independent risk factor for PPOI in the patients with gynecological malignancies ( P<0.05), and the area under the curve in predicting the occurrence of PPOI was 0.796 (95% confidence interval 0.736-0.857) in the patients with gynecological malignancies. Conclusions:Preoperative frailty combined with moderate to severe malnutrition has a higher accuracy in predicting PPOI in the patients with gynecological malignancies.

Objective:To investigate the application value of magnetic resonance imaging(MRI) in evaluating the efficacy of anti-PD-1 combined with neoadjuvant therapy for microsatellite stability (MSS)/proficient mismatch repair (pMMR) locally advanced rectal cancer (LARC).Methods:The prospective single-arm phase Ⅱ study was conducted. The clinicopathological data of 37 patients with MSS/pMMR LARC who were admitted to Beijing Friendship Hospital of Capital Medical University from April 2021 to September 2022 were collected. All patients underwent anti-PD-1 combined with neoadjuvant therapy and radical total mesorectal excision. Observation indicators: (1) enrolled pati-ents; (2) MRI and pathological examination; (3) concordance analysis of MRI examination reading; (4) evaluation of MRI examination. Measurement data with normal distribution were represented as Mean± SD. Count data were expressed as absolute numbers or percentages. Linear weighted κ value was used to evaluate the concordance of radiologist assessment. Sensitivity, negative predictive value, accuracy, overstaging rate and understaging rate were used to evaluate the predictive value. Results:(1) Enrolled patients. A total of 37 eligible patients were screened out, including 21 males and 16 females, aged (61±11)years. MRI examination was performed before and after combined therapy, and pathological examination was performed after radical resection. (2) MRI and pathological examination of patients. Among the 37 patients, MRI before combined therapy showed 0, 0, 5, 24 and 8 cases in stage T0, T1, T2, T3 and T4, 10, 17 and 10 cases in stage N0, N1 and N2, 28 and 9 cases of positive and negative extramural vascular invasion (EMVI), 4 and 33 cases of positive and negative mesorectal fascia (MRF), respectively. MRI examination after combined therapy showed 15, 4, 7, 10 and 1 cases in stage T0, T1, T2, T3 and T4, 34, 2 and 1 cases in stage N0, N1 and N2, 9 and 28 cases of positive and negative EMVI, 1 and 36 cases of positive and negative MRF. There were 16, 13, 8 and 0 cases of tumor regression grading (TRG) 0, 1, 2 and 3, respectively. Postoperative pathological examination showed 18, 4, 3, 11, 1 cases in stage T0, T1, T2, T3, T4, 33, 3, 1 cases in stage N0, N1, N2, positive and negative EMVI and unknown data in 1, 35, 1 cases, positive and negative circumferential margin in 0 and 37 cases, grade 0, grade 1, grade 2, grade 3 of American Joint Committee on Cancer TRG in 18, 9, 8, 2 cases, respectively. Pathological complete response rate was 48.6%(18/37) and approximate pathological complete response rate was 24.3%(9/37). (3)Concordance analysis of MRI examination reading. The κ value of T staging and N staging on MRI before combined therapy was 0.839 ( P<0.05) and 0.838 ( P<0.05), respectively. The κ value of T staging and N staging on MRI after combined therapy was 0.531 ( P<0.05) and 0.846 ( P<0.05), respectively. The κ value of EMVI and MRF was 0.708 ( P<0.05) and 0.680 ( P<0.05) before combined therapy, and they were 0.561 ( P<0.05) and 1.000 ( P<0.05) after combined therapy, respectively. The κ value of TRG 3-round reading for TRG was 0.448 ( P<0.05). (4) Evaluation of MRI examination. ① MRI evaluation of T and N staging. The accuracy of MRI examination after combined therapy for distinguishing stage T0 was 75.7%[28/37, 95% confidence interval ( CI) as 62.2%-89.2%], the understaging rate was 8.1%(3/37, 95% CI as 0-18.9%), the overstaging rate was 16.2%(6/37, 95% CI as 5.4%-29.7%). The accuracy of MRI examination for distinguishing stage T0-T2 was 86.5%(32/37, 95% CI as 73.0%-97.3%), its understaging rate and overstaging rate were 8.1%(3/37, 95% CI as 0-18.9%) and 5.4% (2/37, 95% CI as 0-13.5%), respectively. The accuracy of MRI examination for distinguishing N staging was 91.9%(34/37, 95% CI was 81.1%-100.0%), its understaging rate and overstaging rate were 5.4%(2/37, 95% CI as 0-13.5%) and 2.7%(1/37, 95% CI as 0-8.1%), respectively. Among 18 patients in pathological stage T0, the overstaging rate of MRI was 33.3%(6/18). All the 4 patients in pathological stage T1 and 3 pati-ents in pathological stage T2 had correct diagnosis. There were 3 cases with understaging among 12 patients in pathological stage T3-T4. Among the 37 patients in pathological stage N0-N2, 34 cases had correct diagnosis, 1 case was overstaged as stage N1 due to a round mesorectal lymph node with short diameter as 6 mm, and 2 cases were diagnosed as stage N0 due to the small lymph nodes with the maximum short diameter as 3 mm. ② MRI evaluation of EMVI and MRF. The accuracy, sensitivity and negative predictive value of MRI for evaluating EMVI were 86.5%(32/37, 95% CI as 75.0%-97.2%), 100.0% and 100.0%, respectively, and the overestimation rate of EMVI was 13.9%(5/36, 95% CI as 2.8%-25.0%), and no underestimation occurred. Of 35 pathologically negative EMVI patients, a rate of 14.3%(5/35) of patients were positive on MRI. The main reason for overestaging was that thickened fibrous tissue outside the rectal wall was mistaken for vascular invasion. The accuracy of MRI for evaluating MRF was 97.3%(36/37, 95% CI as 91.9%-100.0%), and 1 case (1/37, 2.7%, 95% CI as 0-8.1%) was overestimated as positive MRF due to misdiagnosis of pararectal MRF lymph nodes. The negative predictive value of MRI for assessing MRF was 100.0%. ③ MRI evaluation of TRG. The accuracy, understaging and overstaging rates of MRI for evaluating pathological TRG 0 were 78.4%(29/37, 95% CI as 64.9%-91.9%), 8.1%(3/37, 95% CI as 0-18.9%), 13.5%(5/37, 95% CI as 5.4%-27.0%), respectively. The accuracy, understaging and overstaging rates of MRI for evaluating pathological TRG 0-1 were 89.2%(33/37, 95% CI as 78.4%-97.3%), 8.1%(3/37, 95% CI as 0-18.9%), 2.7%(1/37, 95% CI as 0-8.1%), respectively. Of the 18 patients with pathologic complete response, 5 cases were diagnosed as pathological TRG 1 and 13 cases as pathological TRG 0. One near-pCR patient was assessed as pathological TRG 2. Two patients with pathological TRG 3 were incorrectly diagnosed on MRI. Conclusions:Anti-PD-1 combined with neoadjuvant therapy can downstage the LARC pati-ents with MSS/pMMR. MRI is effective in predicting T staging, N staging, EMVI, MRF and TRG. However, overstaging should be prevented.

Objective:To evaluate the morphological and functional changes of the heart during second trimester fetuses with ventricular septal defect (VSD) using fetal heart quantification (fetal HQ) technology.Methods:A prospective study was conducted from July 2022 to January 2024 at Chengdu Women′s and Children′s Central Hospital, collecting 91 singleton fetuses diagnosed with isolated VSD (VSD group) and 91 normal fetuses matched for gestational age (control group). Fetal HQ technology was used to measure the length and width of the four-chamber view of the fetal heart, obtaining the global sphericity index (GSI). Speckle tracking technology was used to track the endocardial motion trajectories of the left and right ventricles during diastole and systole, obtaining parameters such as left and right ventricular global longitudinal strain (LV-GLS and RV-GLS), end-diastolic diameter (EDD), 24-segment sphericity index (SI), 24-segment fraction of shortening (FS), left ventricular ejection fraction (LV-EF), fraction of area change (FAC), left ventricular stroke volume (LV-SV), and left ventricular cardiac output (LV-CO).The differences between groups were compared, and the correlations between the values of VSD and GSI, GLS, and FAC were evaluated.Results:The EDD of the left ventricular segments 20-23 in the VSD group was lower, while the SI value of the right ventricular segments 1-4 in the VSD group was higher than that in the control group (all P<0.05). There was no statistically significant difference in GSI between the two groups ( P>0.05). LV-GLS in the VSD group was lower than that in the control group ( P<0.05). There was no statistically significant difference in RV-GLS ( P>0.05). Values of LV-FAC, LV-EF, LV-SV, and LV-CO in the VSD group were significantly lower than those in the control group (all P<0.05). The FS value of left ventricular segments 1-10 in the VSD group presented lower, but the FS value of right ventricular segments 7-21 higher compared to controls(all P<0.05). LV-GLS and LV-FAC absolute values were negatively correlated with the size of VSD ( r=-0.309, P=0.004; r=-0.264, P=0.015), while GSI, RV-GLS, and RV-FAC showed no significant correlation with the size of VSD (all P>0.05). Conclusions:The overall sphericity index of second trimester VSD fetuses is normal, but there are changes in the shape of the left ventricular apical segments and the right ventricular basal segments, with the left heart chamber tending to be flatter and the right heart chamber more fusiform. The left ventricular systolic function of VSD fetuses is significantly reduced, the local systolic function of right ventricular increases while the global systolic function shows no significant change. The absolute values of LV-GLS and LV-FAC in VSD fetuses are negatively correlated with the size of VSD.

Objective To Explore the feasibility and value of deep learning technology for quality control of echocardiography images.Methods A total of 180985 echocardiography images collected from Sichuan Provin-cial People's Hospital between 2015 and 2022 were selected to establish the experimental dataset.Two task models of the echocardiography standard views quality assessment method were trained,including intelligent recognition of seven types of views(six standard views and other views)and quality scoring of six standard views.The predictions of the models on the test set were compared with the results of the sonographer's annotation to assess the accuracy,feasibility,and timeliness of the runs of the two models.Results The overall classification accuracy of the stan-dard views recognition model was 98.90%,the precision was 98.17%,the recall was 98.18%and the F1 value was 98.17%,with the classification results close to the expert recognition level;the average PLCC of the six standard views quality scoring models was 0.933,the average SROCC was 0.929,the average RMSE was 7.95 and the average MAE was 4.83,and the prediction results were in strong agreement with the expert scores.The single-frame inference time after deployment on the 3090 GPU was less than 20 ms,meeting real-time requirements.Conclusion The echocardiography standard views quality assessment method can provide objective and accurate quality assessment results,promoting the development of echocardiography image quality control management towards real-time,objective,and intelligent.

Objective:To evaluate the effect of lung recruitment maneuvers combined with individualized positive end-expiratory pressure(PEEP) on the degree of postoperative atelectasis in elderly patients undergoing laparoscopic surgery.Methods:One hundred and forty-three elderly patients, aged ≥65 yr, with body mass index of 18.5-30.0 kg/m 2, scheduled for elective laparoscopic surgery, were assigned to either individualized PEEP combined with recruitment maneuvers (group Ⅱ) or fixed PEEP (group Ⅰ) using a random number table method. PEEP was maintained at 6 cmH 2O starting from the beginning of procedure until the end of the procedure in group I. Individualized PEEP titration was performed after induction of anesthesia in group Ⅱ. The primary outcome measure was the 12-zone lung ultrasound score at 15 min after tracheal extubation. Other outcome measures were the occurrence of postoperative pulmonary complications within 7 days after surgery, Quality of Recovery-15 scale score on 3rd day after surgery, rate of unplanned admission to intensive care units, length of hospital stay, incidence of intraoperative hypoxemia, usage rate of intraoperative vasoactive drugs, and incidence of postoperative hypotension. Results:Compared with group Ⅰ, the lung ultrasound score, driving pressure and postoperative pulmonary complications were significantly decreased, the dynamic lung compliance was increased ( P<0.05 or 0.01), and no significant changes were found in the other parameters in group Ⅱ ( P>0.05). Conclusions:Individualized PEEP combined with recruitment maneuvers can reduce the degree of postoperative atelectasis in elderly patients undergoing laparoscopic surgery.