Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for improving image quality of 80 kVp low-dose CT enterography(CTE)for Crohn disease(CD).Methods Totally 59 patients with CD who underwent 80 kVp low-dose CTE were retrospectively enrolled,and CTE images were reconstructed with hybrid iterative reconstruction(HIR)(HIR group)and AIIR(AIIR group),respectively.Then subjective and objective scores of image quality were evaluated and compared between groups,and the value of AIIR was analyzed.Results Compared with HIR group,AIIR group clearly displayed the intestinal wall,intestinal lumen,mesenteric vessels and peri-intestinal soft tissue,and displayed typical CD signs more obviously,with higher subjective scores of imaging quality(all P＜0.001).The standard deviation(SD)was lower,while signal-to-noise ratio(SNR)of intestinal walls without disease,SNR and contrast-to-noise ratio(CNR)of diseased intestinal walls in AIIR group were all higher than those in HIR group(all P＜0.001).The effective dose of 80 kVp CTE examination was(2.82±0.54)mSv.Conclusion AIIR was helpful for improving image quality of 80 kVp low-dose CTE for CD.

Objective:To evaluate the effects of the logistic fitting algorithm in improving the calculation accuracy of low-sampled cerebral CT perfusion (CTP) and to explore the application value of this algorithm in reducing irradiation doses to cerebral CTP.Methods:Image data from 28 patients who underwent cerebral CTP were retrospectively analyzed. A total of 192 regions of interest (ROIs) were circled in the basal ganglia and the main blood-supplying areas of the anterior, middle, and posterior cerebral arteries. For each ROI, the time-density curve (TDC) was plotted, from which some data points were deleted to decrease the sampling frequency to half of the conventional scan, thus simulating low-dose scanning and obtaining low-dose TDCs. The logistic model was applied to fit and complete the low-dose TDCs. The potential decrease in radiation dose was assessed. Conventional TDCs, low-dose TDCs, and TDCs processed using the logistic fitting algorithm were compared. Perfusion calculations were performed based on these TDCs, and the calculated cerebral blood volume (CBV), cerebral blood flow (CBF), time to peak (TTP), and mean transit time (MTT) were compared and analyzed.Results:The total radiation dose for cerebral CTP examination could be reduced to 52% of the routine dose. The mean correlation coefficient R between the TDCs derived using the logistic fitting algorithm and the conventional TDCs was 0.958 ± 0.03. The CBV, CBF, TTP, and MTT calculated using the logistic fitting algorithm were compared with the conventional result, and the coefficients of determination R2 of linear regressions were determined at 0.943, 0.942, 0.955, and 0.891, respectively, indicating extremely high consistency(ICC > 0.90). Furthermore, the R2 values determined using the logistic fitting algorithm were all higher than those derived without applying the fitting algorithm. Conclusions:Applying the logistic fitting algorithm to under-sampled cerebral CTP can yield calculation result that are highly consistent with those of conventional sampling. By combining under-sampling with the logistic algorithm, the irradiation doses can be reduced while guaranteeing the accuracy of the effective perfusion result, demonstrating high application value.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for improving image quality of 80 kVp low-dose CT enterography(CTE)for Crohn disease(CD).Methods Totally 59 patients with CD who underwent 80 kVp low-dose CTE were retrospectively enrolled,and CTE images were reconstructed with hybrid iterative reconstruction(HIR)(HIR group)and AIIR(AIIR group),respectively.Then subjective and objective scores of image quality were evaluated and compared between groups,and the value of AIIR was analyzed.Results Compared with HIR group,AIIR group clearly displayed the intestinal wall,intestinal lumen,mesenteric vessels and peri-intestinal soft tissue,and displayed typical CD signs more obviously,with higher subjective scores of imaging quality(all P＜0.001).The standard deviation(SD)was lower,while signal-to-noise ratio(SNR)of intestinal walls without disease,SNR and contrast-to-noise ratio(CNR)of diseased intestinal walls in AIIR group were all higher than those in HIR group(all P＜0.001).The effective dose of 80 kVp CTE examination was(2.82±0.54)mSv.Conclusion AIIR was helpful for improving image quality of 80 kVp low-dose CTE for CD.

Objective:To evaluate the effects of the logistic fitting algorithm in improving the calculation accuracy of low-sampled cerebral CT perfusion (CTP) and to explore the application value of this algorithm in reducing irradiation doses to cerebral CTP.Methods:Image data from 28 patients who underwent cerebral CTP were retrospectively analyzed. A total of 192 regions of interest (ROIs) were circled in the basal ganglia and the main blood-supplying areas of the anterior, middle, and posterior cerebral arteries. For each ROI, the time-density curve (TDC) was plotted, from which some data points were deleted to decrease the sampling frequency to half of the conventional scan, thus simulating low-dose scanning and obtaining low-dose TDCs. The logistic model was applied to fit and complete the low-dose TDCs. The potential decrease in radiation dose was assessed. Conventional TDCs, low-dose TDCs, and TDCs processed using the logistic fitting algorithm were compared. Perfusion calculations were performed based on these TDCs, and the calculated cerebral blood volume (CBV), cerebral blood flow (CBF), time to peak (TTP), and mean transit time (MTT) were compared and analyzed.Results:The total radiation dose for cerebral CTP examination could be reduced to 52% of the routine dose. The mean correlation coefficient R between the TDCs derived using the logistic fitting algorithm and the conventional TDCs was 0.958 ± 0.03. The CBV, CBF, TTP, and MTT calculated using the logistic fitting algorithm were compared with the conventional result, and the coefficients of determination R2 of linear regressions were determined at 0.943, 0.942, 0.955, and 0.891, respectively, indicating extremely high consistency(ICC > 0.90). Furthermore, the R2 values determined using the logistic fitting algorithm were all higher than those derived without applying the fitting algorithm. Conclusions:Applying the logistic fitting algorithm to under-sampled cerebral CTP can yield calculation result that are highly consistent with those of conventional sampling. By combining under-sampling with the logistic algorithm, the irradiation doses can be reduced while guaranteeing the accuracy of the effective perfusion result, demonstrating high application value.

A retrospective analysis of the clinical data of seven acute B-lymphoblastic leukemia (B-ALL) patients with TCF3-HLF fusion gene-positive admitted to the First Affiliated Hospital of Soochow University from June 2017 to August 2022 was conducted to summarize their clinical features and prognoses. The seven B-ALL patients comprised four males and three females, with a median age of 18 (11-33) years. Five patients tested positive for CD33 expression, and four patients had a normal karyotype. Two patients had hypercalcemia at the initial diagnosis, and one patient developed hypercalcemia at relapse. Six patients presented with coagulation dysfunction at diagnosis. After induction chemotherapy, five out of seven patients achieved complete remission, of which four subsequently relapsed. Two patients did not achieve remission even after two rounds of induction chemotherapy, with one achieving complete remission after treatment with blinatumomab immunotherapy. Three patients underwent chimeric antigen receptor T cell therapy, whereas three patients subsequently underwent hematopoietic stem cell transplantation. Five patients died, while two patients survived with sustained complete remission. TCF3-HLF-positive B-ALL is rare and has a high relapse rate and poor prognosis.

Objective: Due to the complicated compounds and the synergistic effect of multi-compounds, the quality control and assessment of Chinese materia medica (CMM) encounters a great challenge about how to identify the key compounds, which are directly correlated with its efficacy and safety. On the guidance of study on quality marker (Q-Marker), identification of Q-Markers was performed from Hedan Tablet (HDT) by the aid of the “spider-web” mode and hepatotoxicity evaluation derived from our previous researches and literatures. Methods: By the established ultra performance liquid chromatography with photodiode array detector (UPLC-PDA) method, online UPLC-DPPH· and offline antioxidant assay, 21 candidate compounds of HDT were systematically investigated and comprehensively evaluated by the “spider-web” mode for them properties of Q-Marker based on “content-stability-activity”. In addition, the Q-Markers related with hepatotoxicity based on our previous researches and literatures were identified. Results: Salvianolic acid B (SaB), quercetin-3-O-glucuronide (Qug), isoquercitrin (IQ) and hyperoside (Hyp) were adopted as the preferable Q-Markers of HDT according to the shaded area (A) of tested compounds in “spider-web” mode. Psoralen (Ps), isopsoralen (IP), psoralenoside (PO) and isopsoralenoside (IPO) were also strongly recommended as Q-Markers closely related with safety by considering hepatotoxicity of the accumulated Ps and IP and conversion between glycoside (PO and IPO) and aglycone (Ps and IP). Conclusion: This study provided scientific evidence for quality control and assessment of HDT, and also provided a meaningful reference for application of Q-Markers in CMM.