Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

OBJECTIVES: To establish a three-dimensional (3D) visualization-based classification of the left hepatic portal vein (LHPV) and left hepatic vein (LHV) systems using 3D reconstruction technology to facilitate precise segmental/subsegmental resection of left liver lesions. METHODS: Thin-slice contrast-enhanced CT datasets from 244 patients were reconstructed using MI-3DV Works software. The spatial anatomy (origins, branching patterns, and spatial relationships) of the LHPV and LHV branches was analyzed to determine their 3D classifications and segmental liver divisions for guiding surgical planning for anatomical left liver resections. RESULTS: The 3D models of the third- and fourth-order branches of the LHPV and LHV were successfully reconstructed for all the 244 patients. Two types of the LHPV system were identified, where the LHPV either had independent origins [242 cases (99.1%)] or had right anterior portal branches arising from the LHPV trunk [2 cases (0.9%)]. 3D classifications identified two types of the Segment II of the LHPV (based on branch number), 3 types of the Segment III (by spatial distribution of the branches), compact vs dispersed types of the left lateral lobe (determined by Segment II/III branches proximity), 3 types of the Segment IV (by branch number and origin), and 3 types the fourth hilar vessels (transverse branches of the left portal vein) for their supplied segments. The LHV system had two drainage types into the inferior vena cava, and the umbilical fissure veins were classified into 3 types by drainage patterns and distance to the venous roots. These classifications combined with liver segmentations allowed individualized surgical planning for segment-specific resections. CONCLUSIONS The 3D classification of the LHPV and LHV provides valuable clinical guidance for precise anatomical resections of left liver lesions using liver segments or subsegments as anatomical units to enhance surgical accuracy and improve the outcomes of hepatobiliary surgery.
Humans ; Hepatectomy/methods* ; Imaging, Three-Dimensional ; Hepatic Veins/anatomy & histology* ; Portal Vein/anatomy & histology* ; Liver/surgery* ; Liver Neoplasms/blood supply* ; Tomography, X-Ray Computed ; Female

Objective To explore the effect of follow-up management based on the digital information platform on the compliance of early screening and follow-up of liver cancer in patients with chronic liver diseases,and to provide a management method for clinical practice.Methods Convenience sampling was adopted to include 3,959 patients who had chronic liver diseases and visited the outpatient clinic of the Department of Infectious Liver Diseases in our hospital from January 2022 to December 2023.Before the application of the digital information platform for management,it was the medical staff of the Infectious Liver Disease Department who conducted telephone follow-ups and handwritten registrations for patients with chronic liver diseases within one week after their visits.After management,A liver cancer prediction model installed in the digital information platform of the hospital automatically collected data of the patients,including information about the diseases and results of examinations for intelligent risk stratification of liver cancer.The nurses who were in charge of the follow-up performed individualised follow-up reviews based on the levels of risk.Follow-up re-visit rate of the patients in very high-and high-risks were calculated.Scores of chronic disease self-efficacy and medication compliance were compared before and at 3 months after the follow-up management.Results A total of 3,860 patients completed the study.After the follow-up management,the total follow-up re-visit rate of the patients was 88.2%(1,818/2,062)and that of the high-risk patients was 95.3%(246/258)in 2022,while those in 2023 were 94.0%(1,691/1,798)and 98.3%(232/236),respectively.After 3 months of follow-up management,scores for medication compliance and chronic disease self-efficacy showed significant improvement in comparison with those before the implementation of follow-up management(P<0.001).Conclusion The follow-up management based on a digital information platform is suitable for screening of early liver cancer in the patients with chronic liver diseases,as it improves the re-visit rate of patients for follow-up,medication compliance and self-efficacy.

Objective To explore the effect of follow-up management based on the digital information platform on the compliance of early screening and follow-up of liver cancer in patients with chronic liver diseases,and to provide a management method for clinical practice.Methods Convenience sampling was adopted to include 3,959 patients who had chronic liver diseases and visited the outpatient clinic of the Department of Infectious Liver Diseases in our hospital from January 2022 to December 2023.Before the application of the digital information platform for management,it was the medical staff of the Infectious Liver Disease Department who conducted telephone follow-ups and handwritten registrations for patients with chronic liver diseases within one week after their visits.After management,A liver cancer prediction model installed in the digital information platform of the hospital automatically collected data of the patients,including information about the diseases and results of examinations for intelligent risk stratification of liver cancer.The nurses who were in charge of the follow-up performed individualised follow-up reviews based on the levels of risk.Follow-up re-visit rate of the patients in very high-and high-risks were calculated.Scores of chronic disease self-efficacy and medication compliance were compared before and at 3 months after the follow-up management.Results A total of 3,860 patients completed the study.After the follow-up management,the total follow-up re-visit rate of the patients was 88.2%(1,818/2,062)and that of the high-risk patients was 95.3%(246/258)in 2022,while those in 2023 were 94.0%(1,691/1,798)and 98.3%(232/236),respectively.After 3 months of follow-up management,scores for medication compliance and chronic disease self-efficacy showed significant improvement in comparison with those before the implementation of follow-up management(P<0.001).Conclusion The follow-up management based on a digital information platform is suitable for screening of early liver cancer in the patients with chronic liver diseases,as it improves the re-visit rate of patients for follow-up,medication compliance and self-efficacy.

Objective:To investigate effects of short-term cigarette smoke exposure combined with poly(I:C)stimulation on lung immune response and interferon expression in mice.Methods:BALB/c mice were randomly divided into 4 groups:control group,smoke group,poly(I:C)group and smoke combined poly(I:C)group.Total cell number and cell classification count of bronchoalveo-lar lavage fluid(BALF)were detected,and cell morphology was observed under ordinary light.Cytokines,chemokines,interferon and interferon stimulating genes expressions in lung tissues were detected by fluorescence quantitative PCR.Results:Compared with control group,total cell count,macrophage count and neutrophil count in smoke combined poly(I:C)group were significantly increased(P<0.05),and macrophage count was higher than that in poly(I:C)group.Macrophages of airway lavage fluid of mice in smoke combined with poly(I:C)group were larger in size,round or irregular in shape,and had more vacuoles in cytoplasm.Com-pared with control group,mRNA expressions of neutrophil chemokine CXCL1(P<0.05),CXCL2(P<0.01)and lymphocyte chemo-kine CCL2(P<0.01)in lung tissues of mice in smoke combined with poly(I:C)group were increased.IL-1β,IL-6,TNF-α mRNA expressions were significantly increased(P<0.01),IFN-β(P<0.01),IFN-γ(P<0.05),MX2(P<0.01)and IP-10(P<0.01)expre-ssions in lung tissues were significantly increased,and compared with poly(I:C)group,mRNA expressions of CXCL2(P<0.05),TNF-α(P<0.01)and IFN-β(P<0.05)in lung tissues of mice in smoke combined with poly(I:C)group were significantly increased.Conclusion:Cigarette smoke combined with poly(I:C)induces lung inflammation and expressions of interferon and interferon stimu-lating genes in mice.Cigarette exposure also increases poly(I:C)-induced acute lung inflammation and type Ⅰ interferon expression in mice.

Objective To investigate the prevalence of Cryptosporidium infection and the distribution of parasite species and genotypes among HIV-positive individuals in Jiangxi Province. Methods HIV-positive individuals' sociodemographic and clinical data were collected from three AIDS designated hospitals in Jiangxi Province from January 2022 to March 2023. Subjects' stool samples were collected, and genomic DNA was extracted from stool samples. Nested PCR assay was performed based on the small subunit ribosomal RNA (SSU rRNA) gene of Cryptosporidium, and Cryptosporidium gp60 gene was amplified in stool samples positive for the SSU rRNA gene. The second-round PCR amplification product was checked with 1.5% agarose gel electrophoresis, and the products of suspected positive amplifications were sequenced, followed by sequence alignment. The phylogenetic tree was created using the Neighbor-Joining method with the software MEGA 11.0, to characterize the species, genotypes and sub-genotypes of Cryptosporidium. Results A total of 382 HIV-positive individuals were enrolled, with two cases identified with Cryptosporidium infection (0.52% prevalence), and both cases had no abdominal pain or diarrhea. Following sequencing and sequence alignment, the gene sequences of these two Cryptosporidium isolates shared 99.76% and 99.88% similarity with the gene sequence of C. meleagridis isolates. Phylogenetic analysis based on the Cryptosporidium SSU rRNA gene sequence identified the species of these two Cryptosporidium-positive stool samples as C. meleagridis. Following nested PCR amplification of the Cryptosporidium gp60 gene, sequencing and sequence alignment, the two C. meleagridis isolates were characterized as III eA17G2R1 and III bA25G1R1a sub-genotypes, and the sub-genotype III bA25G1R1a was firstly described in humans. Conclusion The prevalence of Cryptosporidium is low among HIV-positive individuals in Jiangxi Province. The likelihood of Cryptosporidium infection cannot be neglected among HIV-positive individuals without diarrhea.

Due to the low contrast of CT images,irregular shape of the liver,and blurred boundaries with adjacent organs,the existing methods based on convolutional neural network underperform in liver segmentation tasks,especially for boundary recognition and small object detection.A novel liver segmentation method is proposed based on multi-scale feature fusion and attention,namely MFFA UNet.Multi-scale feature fusion is firstly employed to acquire abundant segmentation details,while spatial and channel attention mechanisms are utilized to capture global spatial and inter-channel relationships.Additionally,a deep supervision module fully leverages the output of intermediate hidden layers,enhancing the learning capability of the network,which in turn accelerates the network's convergence speed.Moreover,a hybrid loss function is adopted to address the issue of class imbalance,further boosting the model's segmentation efficacy.Experimental results demonstrate that the proposed MFFA UNet outperforms the prevailing segmentation networks on the public LITS dataset,producing results that are closer to the ground truth.

The complexity of oral ulcerations poses considerable diagnostic and therapeutic challenges to oral specialists. The expert consensus was conducted to summarize the diagnostic work-up for difficult and complicated oral ulcers, based on factors such as detailed clinical medical history inquiry, histopathological examination, and ulceration-related systemic diseases screening. Not only it can provide a standardized procedure of oral ulceration, but also it can improve the diagnostic efficiency, in order to avoid misdiagnosis and missed diagnosis.
Consensus ; Humans ; Oral Ulcer/therapy*

Previously, we reported that Y, a new epigallocatechin gallate derivative, is efficacious in reversing doxorubicin (DOX)--mediated resistance in hepatocellular carcinoma BEL-7404/DOX cells. In this study, we evaluated the efficacy of Y in reversing drug resistance both and by determining its effect on the adenosine triphosphate-binding cassette protein B1 transporter (ABCB1 or P-glycoprotein, P-gp). Our results showed that Y significantly sensitized cells overexpressing the ABCB1 transporter to anticancer drugs that are ABCB1 substrates. Y significantly stimulated the adenosine triphosphatase activity of ABCB1. Furthermore, Y exhibited a higher docking score as compared with epigallocatechin gallate inside the transmembrane domain of ABCB1. In addition, in the nude mouse tumor xenograft model, Y (110 mg/kg, intragastric administration), in combination with doxorubicin (2 mg/kg, intraperitoneal injection), significantly inhibited the growth of BEL-7404/DOX cell xenograft tumors, compared to equivalent epigallocatechin gallate. In conclusion, Y significantly reversed ABCB1-mediated multidrug resistance and its mechanisms of action may result from its competitive inhibition of the ABCB1 drug efflux function.

Objective: To study the application value of augmented-reality (AR) surgical navigation technology combined with indocyanine green (ICG) molecular fluorescence imaging in three-dimensional (3D) laparoscopic hepatectomy. Methods: The clinical data of forty-eight patients who had undergone 3D laparoscopic hepatectomy for hepatocellular carcinoma at First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University from January 2018 to April 2019 were retrospectively analyzed.The patients were divided into two groups: the group of 3D laparoscopic hepatectomy navigated by augment reality technology combined with ICG molecular fluorescence imaging (Group A) , and group of conventional 3D laparoscopic hepatectomy (Group B) . Patients in Group A (n=23) underwent 3D laparoscopic hepatectomy using augmented-reality technology combined with ICG molecular fluorescence imaging. In this group, the self-developed three-dimensional laparoscopic augmented-reality surgical navigation system (No. 2018SR840555) was operated to project the preoperative three-dimensional model to the surgical field, and the use of this system in combination with ICG molecular fluorescence imaging navigated laparoscopic hepatectomy. No surgical navigation technology was applied in Group B (n=25) . All patients signed the informed consent, which were in accordance with the requirements of medical ethics (Ethics No.: 2018-GDYK-003) . The preoperative data, surgical indicators and postoperative complications between the two groups were compared and analyzed. Results: The median amount of intraoperative blood loss of Group A was 250 (200) ml (M (Q_R) ) , which was significantly lower than that of Group B (300 (150) ml) (Z=-2.307, P=0.021) .The transfusion rate of Group A was 13.0% (3/23) , which was significantly lower than that of Group B (40.0%, 10/25) (χ²=4.408, P=0.036) .The median postoperative hospitalization time of Group A was 8 (2) d, which was significantly shorter than that of Group B (11 (6.5) d) (Z=-2.694, P=0.007) . There were no serious complications and perioperative death in both groups.The incidence of postoperative complications in Group A was 17.4% (4/23) , which was not significantly different from that in group B (28%, 7/25) (χ²=0.763, P=0.382) . Conclusion Augmented-reality surgical navigation technology combined with ICG molecular fluorescence imaging has better effect in 3D laparoscopic hepatectomy.