Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

OBJECTIVE: To evaluate the efficacy and safety of PD-1 inhibitor combined with azacitidine and HAG regimen in the treatment of relapsed/refractory acute myeloid leukemia (R/R AML). METHODS: This study is a prospective, single-arm, phase II clinical trial that included R/R AML patients who met the inclusion criteria and were treated at The First Affiliated Hospital of Soochow University from December 2020 to August 2023. Patients could undergo allogeneic hematopoietic stem cell transplantation (allo-HSCT) after salvage therapy. The efficacy and safety were evaluated. RESULTS: Twenty patients were enrolled, including 14 males and 6 females, with an average age of (50.7±15.3) years. The overall response rate (ORR) after one cycle of the treatment was 75.0% (15/20), and 35.0% (7/20) of the patients achieved complete remission (CR) or complete remission with incomplete hematologic recovery (CRi) after two cycles of the treatment. Eight patients received allo-HSCT. The main adverse events were hematologic toxicities, and no grade 5 adverse events occurred. CONCLUSION The combination of PD-1 inhibitor, azacitidine, and the HAG regimen is a feasible and relatively safe treatment option for R/R AML, thus, to be worth further study.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Azacitidine/administration & dosage* ; Male ; Female ; Middle Aged ; Prospective Studies ; Adult ; Hematopoietic Stem Cell Transplantation ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Programmed Cell Death 1 Receptor/antagonists & inhibitors* ; Aged

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

Objective To investigate the distribution of pathogens and change of homology of Acinetobacter bau-mannii(AB)in intensive care units(ICUs)of partial medical institutions in Shanghai before and after the pandemic of coronavirus disease 2019(COVID-19).Methods Pathogens were isolated and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS),the whole genome of AB was sequenced using Illumina Miseq sequencing platform,and its genetic relationship was explored based on multilocus sequence typing(MLST)and core genome multilocus sequence typing(cgMLST).Results The total detection rate of patho-gens in ICU environment after the pandemic was lower than before the pandemic([6.10％,101/1 656]vs[10.77％,181/1 680];P＜0.05).Before and after the pandemic,the proportion of AB detected on the surface of bedding in the ICU environment remained at the highest level.After the pandemic,the ST types showed a diverse distribution.MLST_Pasteur results showed that 162 strains of AB were divided into 20 ST types,with ST2(80.25％,n=130)being the main type.MLST_Oxford results showed that there were 19 ST types among 162 strains,with ST208(37.04％,n=60)being the main type.The clustering analysis based on cgMLST showed that ST208_Oxford had closer genetic relationship with ST540_Oxford and ST369_Oxford after the pandemic.ST164_Pasteur clone changed from ST234_Oxford before the pandemic to ST1418_Oxford after the pandemic,and 2 new types of ST_Pasteurr and 11 new types of ST_Oxford were discovered.Conclusion The detection rate of pathogens from ICU environment after the pandemic is lower than before the pandemic,and the distribution of ST types is slightly different at the same detection sites before and after the pandemic.ST2_Pasteur/ST208_Oxford is still the dominant epidemic clone before and after the pandemic,but some alleles have changed.cgMLST is more accurate than MLST_Oxford and MLST_Pasteur in homology analysis,evolution,spread,and outbreak analysis.

AIM: To investigate the effect of repeated intravitreal injection of anti-vascular endothelial growth factor(VEGF)on the vitreomacular interface(VMI)and its related risk factors in patients with diabetic macular edema(DME).METHODS: The clinical data of 31 patients(55 eyes)with DME who received intravitreal injections of Conbercept(3+PRN)in the ophthalmology department of the First People's Hospital of Zunyi from January 2018 to December 2021 were analyzed retrospectively. There were 9 cases(13 eyes)in the group that has changes in VMI and 22 cases(42 eyes)in the other group that has no changes in VMI. The best corrected visual acuity(BCVA), central retinal thickness(CRT), and central choroidal thickness(CCT)of the two groups were compared, and the risk factors of VMI change were analyzed.RESULTS: The patients were followed up for an average of 9.58±8.32mo, received an average of 4.07±2.17 times of anti-VEGF therapy, and the number of intravitreal injections in VMI changed group was more than that in VMI unchanged group(5.77±2.09 times vs. 3.55±1.93 times, P=0.001). At the last follow-up, compared with before treatment, the BCVA of both patients improved significantly after treatment(both P<0.05), while CCT had no significant change(both P>0.05). CRT of patients in the VMI unchanged group decreased significantly(P=0.039), but there was no significant change in patients of VMI changed group(P=0.627). Logistic regression analysis showed that BCVA was a risk factor for VMI change before treatment(P=0.049, OR=6.210, 95%CI 1.006～38.346).CONCLUSIONS: The VMI of DME patients may change during repeated intravitreal injections of anti-VEGF drugs. The worse the BCVA before treatment, the higher the risk of change in VMI, and the patients with VMI change have a poor response to anti-VEGF treatment.

OBJECTIVES: To investigate local cerebral blood perfusion in preterm infants with bronchopulmonary dysplasia (BPD) based on cerebral blood flow (CBF) values of arterial spin labeling (ASL). METHODS: A prospective study was conducted on 90 preterm infants with a gestational age of <32 weeks and a birth weight of <1 500 g who were born in the Department of Obstetrics and admitted to the Department of Neonatology in the Third Affiliated Hospital of Zhengzhou University from August 2021 to June 2022. All of the infants underwent cranial MRI and ASL at the corrected gestational age of 35-40 weeks. According to the presence or absence of BPD, they were divided into a BPD group with 45 infants and a non-BPD group with 45 infants. The two groups were compared in terms of the CBF values of the same regions of interest (frontal lobe, temporal lobe, parietal lobe, occipital lobe, thalamus, and basal ganglia) on ASL image. RESULTS: Compared with the non-BPD group, the BPD group had a significantly lower 1-minute Apgar score, a significantly longer duration of assisted ventilation, and a significantly higher incidence rate of fetal distress (P<0.05). After control for the confounding factors such as corrected age and age at the time of cranial MRI by multiple linear regression analysis, compared with the non-BPD group, the BPD group still had higher CBF values of the frontal lobe, temporal lobe, parietal lobe, occipital lobe, basal ganglia, and thalamus at both sides (P<0.05). CONCLUSIONS BPD can increase cerebral blood perfusion in preterm infants, which might be associated with hypoxia and a long duration of assisted ventilation in the early stage.
Infant ; Pregnancy ; Female ; Infant, Newborn ; Humans ; Infant, Premature ; Bronchopulmonary Dysplasia/epidemiology* ; Prospective Studies ; Gestational Age ; Cerebrovascular Circulation