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 analyze the acupoint selection rules of acupuncture for the treatment of tic disorders in children based on data mining techniques.Methods A computerized search was conducted for the clinical research literature on acupuncture treatment of tic disorders in children included in the CNKI,Wanfang,VIP,SinoMed,and PubMed databases from January 1992 to December 2022.A database was established by Excel 2019 to count the commonly used treatment methods and analyze the high-frequency application methods acupuncture(high-frequency acupoints,channel entry of acupoints,acupoint association rules,and acupoint clustering),auricular point seed-pressing(high-frequency auricular points,and acupoint association rules),and the high frequency division of cluster needling of scalp point.Results A total of 190 valid literature articles were included,involving 270 acupuncture prescriptions;among them,184 acupoints were counted in the acupuncture method,with a total application frequency of 1 906 times,and the high-frequency application of the acupoints in descending order were Baihui(DU20),Taichong(LR3),Fengchi(GB20),Hegu(LI4),Sanyinjiao(SP6),Neiguan(PC6),Shenmen(HT7),Zusanli(ST36),Yintang(EX-HN3),Sishencong(EX-HN1);and the high-frequency meridians were governor vessol,foot taiyang stomach meridian,foot taiyang stomach meridian,foot shaoyang gallbladder meridian,hand taiyang large intestine meridian,foot taiyang bladder meridian,foot jueyin gallbladder meridian;three sets of strong association rules and five clusters of acupoints were analyzed by SPSS modeler 18.0 and IBM SPSS Statistics 26.0 software.There were 29 acupoints of auricular point seed-pressing,application total frequency was 206 times,high-frequency application of auricular points in descending order of Shenmen(HT7),liver,heart,subcortex,kidney;four groups of acupoint strong association rules were obtained through the analysis of SPSS modeler 18.0 software.A total of 14 zones were involved in the application of cephalic acupoint plexus zoning,of which the high-frequency zones were parietal anterior temporal diagonal,parietal parietal 1,and chorea tremor control zone.Conclusion Acupuncture treatment of tic disorders in children,according to its pathogenesis(liver hyperactivity,kidney depletion,spleen deficiency,phlegm disturbance,etc.)and tic site,select acupoints compatibility,and mostly choose yang meridian acupoints,which is related to the nature and treatment characteristics of wind pathogen.Children's tic disorders are closely related to emotional disorders,therefore acupuncture and auricular acupoints all emphasize the method of soothing the liver and clearing the heart,and regulating the emotional state.Cluster needling of scalp point mostly used parietal temporal anterior oblique line,parietal 1 line,and dance tremor control area for the treatment of tic disorders.For children,auricular point seed-pressing and cluster needling of scalp point has the minimun of pain,the effect of treatment is long,and it is not easy to have dangerous situations such as bent needle,broken needle and so on.

Visual snow syndrome(VSS)is a visual-disturbance disease characterized by continuous flickering tiny dots in the entire visual field, sometimes with visual symptoms like photophobia or nyctalopia and non-visual symptoms such as anxiety and depression.VSS can remain stable or worsen, causing distress to patients′ visual experience and mental state. The pathological mechanism of VSS is still unclear and a hypothesis indicates a relationship between VSS and increased cortical excitability of the visual cortex. Some case reports suggest anti-seizure medications, colored filters and TMS may help eliminate symptoms, but futher studies are required to verify these treatments. This review will systematically introduce what we know about VSS so far.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective To explore the characteristics of the five circuit phases and six climatic factors(wuyun liuqi,also translated as five circuits and six qi)at birth of the patients with hepatic diseases,and to analyze the correlation between the incidence of hepatic diseases and the characteristics of wuyun liuqi of birthdates of the patients.Methods A total of 5 057 inpatients with hepatic diseases admitted to Guangdong Integrated Chinese and Western Medicine Hospital Affiliated to Guangzhou University of Chinese Medicine from May 2021 to May 2023 were collected,and then the characteristics of wuyun liuqi at birth of the patients were statistically analyzed.Results The incidence of hepatic diseases was closely related to the dominant circuit,dominant qi,guest qi,joining of guest qi with dominant qi,and circuit qi.In terms of the correlation of the prevalence of hepatic diseases with the dominant circuit(regular yearly evolutive phase)of the birthdate,the prevalence was the highest in the population born at gold circuit and was the lowest in the population born at fire circuit;in terms of the dominant qi(regular yearly circuit qi),the prevalence was the highest in the population born at taiyin wet-earth phase and was the lowest in the population born at taiyang cold-water phase;in terms of the guest qi(alterable yearly circuit qi),the prevalence was the highest in the population born at yangming dryness-gold phase and was the lowest in the population born at shaoyin monarch-fire phase;in terms of joining of guest qi with dominant qi,the prevalence was the highest in the population born at clockwise phase of guest qi generating or restricting dominant qi and was the lowest in the population born at adaptive phase of dominant qi and guest qi;in terms of the combination of circuit qi,the prevalence was the highest in the population born in the year of shunhua(qi generating circuit)and was the lowest in the population born in the year of suihui(yearly circuit phase being the same as the circuit qi of the year earthly branch).The differences were all statistically significant(P＜0.05 or P＜0.001).Conclusion The incidence of hepatic diseases is correlated with the dominant circuit,dominant qi,guest qi,joining of guest qi with dominant qi,and combination of circuit and qi at the birthdate of the patients to some extent.

The success of the Human Genome Project has significantly deepened our understanding of genomics and catalyzed a growing focus on proteomics, as researchers aim to decipher the complex relationship between genes and proteins. Given the central role of proteins in regulating physiological processes—including DNA replication, metabolic reactions, signal transduction, pH balance, and cellular structure—developing advanced protein sequencing technologies is critical. Proteins are fundamental to nearly all biological activities, making their detailed study essential for understanding cellular functions and disease mechanisms. The Edman degradation method, developed in the 1950s, was a breakthrough in sequencing short peptides. However, its limitations in read length (fewer than 50 amino acids) and slow cycle time fall short of modern demands. Mass spectrometry has since emerged as the gold standard in protein sequencing due to its high accuracy, throughput, and reproducibility. The method is enhanced by a robust sample preparation workflow and advances in mass spectrometry technology. Despite these strengths, mass spectrometry faces limitations in dynamic range, sensitivity, read length, and sequence coverage, hindering complete de novo protein sequencing. These technological gaps underscore the need for innovative methods to provide more detailed and accurate protein sequence data. In the past decade, new protein sequencing methods, including tunneling current, fluorescence fingerprinting, and real-time dynamic fluorescence, have shown significant developmental potential. However, these methods are not yet ready for widespread application, as each still faces technical hurdles. Meanwhile, advances in nanopore DNA sequencing have sparked interest in applying nanopore technology to protein sequencing, particularly owing to its speed, convenience, and cost-effectiveness. Unlike DNA sequencing, protein sequencing presents greater challenges due to proteins’ complex three-dimensional structures, heterogeneous electrical charges, difficulties in directional movement, and diverse amino acid compositions, further complicated by post-translational modifications. Researchers have made significant strides in addressing these challenges, such as using unfolding enzymes, high temperatures, high voltage, and deformers to unravel protein structures, and employing charged sequences and electroosmotic flow to control peptide translocation. The latest strategies for nanopore protein sequencing can be broadly categorized into three approaches: strand sequencing, enzyme-assisted nanopore sequencing, and nanopore fingerprinting. In strand sequencing, dragging a protein-oligonucleotide conjugate through a nanopore with the aid of protein motors generates stepped current signals produced by the peptide strand. In enzyme-assisted nanopore sequencing, 20 proteinogenic amino acids and various post-translational modifications have been distinguished using nanopores, and sequencing of short peptides has also been demonstrated. In nanopore fingerprinting, polypeptide fragments resulting from protease digestion of a protein can be identified through nanopore sensing. Despite these advances, further improvements in protein engineering, data processing, identification accuracy, and read length are needed to make these strategies practically useful. This review provides an overview of the current major approaches to nanopore protein sequencing, emphasizing the strategies, recent advances, breakthroughs and challenges in nanopore protein sequencing. As nanopore technology continues to evolve, it is expected to offer more efficient and accurate sequencing solutions in proteomics, potentially leading to new technological breakthroughs in biochemistry and biomedicine.