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.

The purpose of this study was to investigate the regulatory effects of biofilm associated non-coding small RNA(sRNA)00085 on the survival and environmental fitness of Listeria monocytogenes.Homologous recombination technology was used to construct a deletion mutant strain(△sRNA 00085)and a complementary strain(C △sRNA 00085)of the sRNA00085 target gene.The differences in biological characteristics were compared among the standard strain,△sRNA 00085,and C△sRNA 00085.The deletion of sRNA00085 led to a significant decrease in biofilm formation capacity and sensitivity to several antibiotics,including penicillin,piperacillin,doxycycline,tetracycline,vancomycin,and cotrimoxazole.However,only the minimum inhibitory concentration(MIC)of tetracycline exhibited a significant decrease in △sRNA00085.Meanwhile,the decreased biofilm formation and antibiotic resistance of the sRNA00085 mutant were restored in the C△sRNA00085 strain.Furthermore,we investigated the transcription levels of tetracycline resistance-related genes in L.monocytogenes.Down-regu-lated transcription of the tetS gene but no significant difference in transcription of the tetA gene were observed in △sRNA 00085 compared with the standard strain and C△sRNA00085.Moreover,the elimination of sRNA00085 did not affect bacterial growth ability or sensitivity to disinfectants.These findings highlight that sRNA00085 plays an important role in the environ-mental adaptability of L.monocytogenes by affecting bacterial biofilm formation and resistance.

The global patent data on extracorporeal membrane oxygenation(ECMO)in IncomPat Global Patent Database as of August 29,2022 were retrieved.The development trend and layout of ECMO industry were analyzed in terms of global patent application trend,patent distribution,patent technology,major patent applicants and their patent layout.Some suggestions were put forward for the innovation and development of ECMO industry in China so as to provide references for the formulation of national industrial policy,planning of industry technology direction and enterprise technology research and development and patent layout.[Chinese Medical Equipment Journal,2023,44(10):68-75]

Objective: To establish the quality control methods for the standard decoction of Puerariae Thomsonii Radix.Method:According to the preparation principles for traditional Chinese medicine (TCM) standard decoction,13 batches of Puerariae Thomsonii Radix from different origins were analyzed under the chromatography conditions established in this study and verified with methodology.By referring to Chinese Pharmacopoeia of 2015,puerarin was used as a quantitative indicator to calculate the transfer rate.In this study,the structures of main chromatographic peaks were also identified to clarify the main chemical constituents in the standard decoction.Result:The 13 batches of medicinal herbs were identified as Puerariae Thomsonii Radix,with a recovery rate of 98.0%,and RSD of 1.1%,indicating that the method was accurate and reliable.The transfer rate ranged from 41.4% to 60.0%,and the extraction rate was within the range of 15.7%-34.3%.The corresponding fingerprints were prepared for 13 batches of the standard decoction,and their similarities were all greater than 90.0%.The chemical constituents from Puerariae Thomsonii Radix were identified by mass spectrometry analysis,including citric acid,4'-O-glucosyl puerarin/daidzein-4',7-diglucoside,3'-hydroxy puerarin/genistein puerarin,puerarin apioside,daidzin puerossid A and daidzein,etc.Conclusion: The 13 batches of Puerariae Thomsonii Radix decoction in different origins had consistent properties with the basic properties of medicinal decoction pieces.The established method of quality evaluation can be used to systematically evaluate the standard decoction,providing reference for quality control of related decoction preparations of Puerariae Thomsonii Radix.

Objective: To establish the quality control methods for the standard decoction of Zingiberis Rhizoma. Method: DNA barcode primitives were identified for the medicinal materials from different origins; according to the standard of Chinese herbal medicine decoction preparation principle,the identified Zingiberis Rhizoma was prepared into standard decoction for analysis. Meanwhile, the extraction method and analysis method were validated from methodologies, and the transfer rate of 6-gingerol as well as the extraction rate of standard decoction of Zingiberis Rhizoma were calculated. In addition,the quality standard of standard decoction of Zingiberis Rhizoma was also established based. The structures of main chromatographic peaks were identified by ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) to clarify the main chemical constituents in the standard decoction of Zingiberis Rhizoma. Result: All the samples were identified as Zingiberis Rhizoma. Under the conditions established in this paper,the standard curve of 6-gingerol was Y=661.56X+2.493 3(r=0.999 3),and the RSD was 0.5%in precision test, indicating that the instrument precision was good. The repeatability test showed that the RSD was 0.3%, indicating that the method had good repeatability. The stability test showed that the RSD was 0.4%, indicating that the test solution had good stability within 24 h. The recovery rate was 97.2%and the RSD was 0.6%,indicating that the method was accurate and reliable. 6-gingerol's transfer rate ranged from 31.8%to 57.4%and the extraction rate was within the range of 9.6%-23.1%. The fingerprint similarity of 12 batches of Zingiberis Rhizoma standard decoction was>90%. Conclusion: The established quality control method for Zingiberis Rhizoma was stable and feasible; meanwhile, the standard preparation method for Zingiberis Rhizoma and its quality evaluation system were also established in this study.

Decoction of single medicinal herb is a reference for the standardization of different dosage forms of Chinese medicine and it provides a new direction for solving the problems existing in the quality of Chinese medicinal granules such as no uniform dosage form and no clear quality standard. In this paper, the quality evaluation method of standard decoction of rhubarb was established to provide reference for the quality control of common dosage forms such as clinical decoction and formula granule. 10 batches of representative Rhei Radix et Rhizoma were collected to establish UPLC fingerprints were established. The chemical structures of main peaks were identified with ultra-performance liquid chromatography with quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and the main components in the decoction were Anthraquinones. The extraction ratio of the standard decoction was (28.1±3.8)% and the transfer rate was (19.9±6.3)%. The method for the quality evaluation of standard decoction of Rhei Radix et Rhizoma was established in this study, providing reference for the quality control method of terminal products from decoction of Rhei Radix et Rhizoma.