Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Intrahepatic cholangiocarcinoma (ICC) is the second most common primary malignant tumor of the liver, characterized by high lethality and poor prognosis. Among the three subtypes of ICC, the intrahepatic mass-forming cholangiocarcinoma (IMCC) is the most prevalent. In recent years, the incidence of IMCC has been continuously rising, and its differential diagnosis and prognostic prediction have received widespread attention. Multimodal functional magnetic resonance imaging (MRI) integrates the advantages of various imaging modalities, capable of monitoring tumor hemodynamic changes, cellular metabolism, and other factors. Radiomics, with MRI as its basis, utilizes high-throughput extraction of imaging features to non-invasively acquire information on intra-tumor heterogeneity, subsequently assisting in the diagnosis of liver tumors. This article mainly summarizes the advancements in the application of multimodal functional MRI and MRI-based radiomics in the differential diagnosis and prognostic prediction of IMCC.

Intrahepatic cholangiocarcinoma (ICC) is the second most common primary malignant tumor of the liver, characterized by high lethality and poor prognosis. Among the three subtypes of ICC, the intrahepatic mass-forming cholangiocarcinoma (IMCC) is the most prevalent. In recent years, the incidence of IMCC has been continuously rising, and its differential diagnosis and prognostic prediction have received widespread attention. Multimodal functional magnetic resonance imaging (MRI) integrates the advantages of various imaging modalities, capable of monitoring tumor hemodynamic changes, cellular metabolism, and other factors. Radiomics, with MRI as its basis, utilizes high-throughput extraction of imaging features to non-invasively acquire information on intra-tumor heterogeneity, subsequently assisting in the diagnosis of liver tumors. This article mainly summarizes the advancements in the application of multimodal functional MRI and MRI-based radiomics in the differential diagnosis and prognostic prediction of IMCC.

Objective To observe the value of intratumoral and peritumoral radiomics based on diffusion weighted imaging(DWI)for predicting histological grade of breast cancer.Methods Preoperative DWI data of 700 patients with single breast cancer diagnosed by pathology were retrospectively analyzed.The patients were divided into training set(n= 560,including 381 of grade Ⅰ+Ⅱ and 179 of grade Ⅲ)and test set(n=140,including 95 of grade Ⅰ+Ⅱ and 45 of grade Ⅲ)at the ratio of 8∶2.Intratumoral ROI(ROIintra)was manually delineated on DWI,which was automatically expanded by 3 mm and 5 mm to decline peritumoral ROI(ROIperi,including ROI3 mm and ROI5 mm),then intratumoral-peritumoral ROI(ROIintra+3 mm,ROIintra+5 mm)were obtained.The optimal radiomics features were extracted and screened,and the radiomics model(RM)for predicting the histological grade of breast cancer were constructed.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the predictive efficacy of each model.Calibration curve method was used to evaluate the calibration degree,while decision curve analysis(DCA)was performed to explore the clinical practicability of each model.Results AUC of RMintra,RM+3 mm,RM+5mm,RMintra+3 mm and RMintra+5 mm was 0.750,0.724,0.749,0.833 and 0.807 in training set,while was 0.723,0.718,0.736,0.759 and 0.782 in test set,respectively.In training set,significant differences of AUC was found(all P＜0.01),while in test set,no significant difference of AUC was found among models(all P＞0.05).The calibrations of models were all high.DCA showed that taken 0.02-0.88 as the threshold,the clinical net benefit of RMintra+per were greater in training set,while taken 0.40-0.72 as the threshold,the clinical net benefit of RMintra+per was greater in test set.Conclusion Both DWI intratumoral and peritumoral radiomics could effectively predict histological grade of breast cancer.Combination of intratumoral and peritumoral radiomics was more effective.

Long-term burden of illness and associated medication usage make osteoporosis(OP) a common complication of respiratory diseases. The pathogenic risk factors and treatment strategies for respiratory diseases related OP are similar to primary OP. However, due to differences in the pathogenesis of each disease, there are distinctions in the characteristics of bone loss and treatment approaches. Therefore, targeted diagnostic and therapeutic plans need to be formulated. This article provides a comprehensive review of secondary OP caused by common respiratory diseases in terms of epidemiological characteristics, related risk factors or possible mechanisms, changes in bone metabolic indexes or characteristics of bone damage, and progress in diagnosis and treatment. The aim of this review is to offer insights into the prevention and treatment of secondary OP related to respiratory diseases and promote the development of a multidisciplinary collaborative approach.

ObjectiveThe antitumor activity of sesquiterpenoid M36 isolated from Myrrha against human hepatoma HepG2 cells was investigated in this study. MethodHepG2 cells were treated with M36 at different concentrations （0， 2， 4， 6， 8， 10 μmol·L^-1）. Firstly， the effects of M36 on the proliferation of human hepatoma HepG2 cells were detected by methyl thiazolyl tetrazolium （MTT）， colony formation assay， and EdU proliferation assay. Hoechst staining， flow cytometry analysis， and Western blot were used to explore the effect of M36 on the apoptosis of human hepatoma HepG2 cells. Acridine orange staining and western blotting were used to examine the effect of M36 on autophagy in HepG2 cells. Finally， Western blot was used to detect protein expression of cancer-related signaling pathways. ResultCompared with the blank group， M36 treatment significantly inhibited the proliferation of human hepatoma HepG2 cells （P<0.01）， and the half inhibitory concentration （IC₅₀） value of M36 for 48 h was 5.03 μmol·L^-1， in a dose- and time-dependent manner. M36 was also able to induce apoptosis and autophagy in human hepatoma HepG2 cells. After treatment with 8 μmol·L^-1 M36 for 48 hours， the apoptosis rate of HepG2 cells was （42.03±9.65）% （P<0.01）. Compared with the blank group， HepG2 cells treated with 4 and 8 μmol·L^-1 M36 for 48 h had a significant increase in cleaved poly ADP-ribose polymerase （cleaved-PARP） protein levels （P<0.01）. Acridine orange staining showed that autophagy was significantly activated in HepG2 cells treated with 4 and 8 μmol·L^-1 M36 for 48 h compared with the blank group （P<0.01）， which was further verified by the up-regulation of microtubule-associated protein 1 light chain 3 Ⅱ （LC3 Ⅱ）. Western blot results showed that compared with the blank group， the levels of phosphorylated extracellular regulated protein kinase （p-ERK）， phosphorylated p38 mitogen-activated protein kinase （p-p38 MAPK）， phosphorylated c-Jun N-terminal kinase （p-JNK）， and its downstream nuclear transcription factors c-Jun and p-c-Jun protein were significantly increased in M36 group （P<0.05， P<0.01）. The mechanism may be related to the up-regulation of MAPK signaling pathway. ConclusionThe sesquiterpenoid M36 isolated from Myrrha inhibits the proliferation of human hepatoma HepG2 cells and promotes apoptosis and autophagy， which may be related to the activation of the MAPK signaling pathway.

Objective To accurately depict the actual tongue position of vowels in pinyin based on ultrasound tongue image(UTI),and accordingly propose targeted pronunciation training strategies to improve speech rehabili-tation and teaching quality.Methods Forty-five pieces of pronunciation material containing the six vowels a,o,e,i,u,ü(covering all the rhymes in Mandarin)were selected,and 16 subjects aged 20～25 years old with a proficien-cy level of Mandarin 2A or above were recruited to collect speech and ultrasonic data simultaneously.When process-ing the data,segmental labelling was first performed with Praat,then AAA was used to extract the coordinates of the tongue shape and palatal line of the target segments.Finally,the actual tongue positions of the six pinyin letters were determined based on articulatory tongue position comparison.Results Vowel a has[A]and[ε]2 types of tongue positions;o has[o]1 type of tongue position;e has[?],[e]and[?]3 types of tongue positions;i has[i],[(ι)]and[(ι)]3 types of tongue positions;u has[u]1 type of tongue position;and ü has[y]1 type of tongue posi-tion.A retroflex vowel is a vowel target tongue position followed by a tongue curl stroke.Conclusion ① The rhymes are classified into 11 categories,which allowing for a more accurate and systematic teaching.② The six vowel ultrasonic data provides a visual means for learning vowels,which is more intuitive than the traditional pinyin teaching.

Detailed characterizations of genomic alterations have not identified subtype-specific vulnerabilities in adult gliomas. Mapping gliomas into developmental programs may uncover new vulnerabilities that are not strictly related to genomic alterations. After identifying conserved gene modules co-expressed with EGFR or PDGFRA (EM or PM), we recently proposed an EM/PM classification scheme for adult gliomas in a histological subtype- and grade-independent manner. By using cohorts of bulk samples, paired primary and recurrent samples, multi-region samples from the same glioma, single-cell RNA-seq samples, and clinical samples, we here demonstrate the temporal and spatial stability of the EM and PM subtypes. The EM and PM subtypes, which progress in a subtype-specific mode, are robustly maintained in paired longitudinal samples. Elevated activities of cell proliferation, genomic instability and microenvironment, rather than subtype switching, mark recurrent gliomas. Within individual gliomas, the EM/PM subtype was preserved across regions and single cells. Malignant cells in the EM and PM gliomas were correlated to neural stem cell and oligodendrocyte progenitor cell compartment, respectively. Thus, while genetic makeup may change during progression and/or within different tumor areas, adult gliomas evolve within a neurodevelopmental framework of the EM and PM molecular subtypes. The dysregulated developmental pathways embedded in these molecular subtypes may contain subtype-specific vulnerabilities.
Humans ; Brain Neoplasms/pathology* ; Neoplasm Recurrence, Local/metabolism* ; Glioma/pathology* ; Neural Stem Cells/pathology* ; Oligodendrocyte Precursor Cells/pathology* ; Tumor Microenvironment

Background: The terminology of nonalcoholic fatty liver disease (NAFLD) was changed to metabolic dysfunction ⁃ associated fatty liver disease (MAFLD) in 2020. NAFLD has been confirmed to be a risk factor for colorectal neoplasms, but the association between MAFLD and colorectal neoplasms is conflicting. Aims: To investigate the correlation of MAFLD with colorectal adenoma and early colorectal cancer. Methods: The clinical information of 701 patients who met the criteria and were admitted to Renmin Hospital of Wuhan University from January 2021 to August 2021 was collected retrospectively. Among them, 274 colorectal adenoma patients with low ⁃ grade intraepithelial neoplasia or without intraepithelial neoplasia were classified as adenoma group, 21 patients with high ⁃ grade intraepithelial neoplasia, intramucosal carcinoma, and submucosal carcinoma were classified as early cancer group, and 406 patients with normal colonoscopy or non⁃adenomatous polyps were served as control group. The general information and prevalence of MAFLD between these groups were compared. Furthermore, the correlation of MAFLD with colorectal adenoma and early colorectal cancer, and the gender difference of these correlations were analyzed by Logistic regression models. Subgroup analysis was performed based on the clinicopathological characteristics of colorectal adenoma. Results: When adjusting the confounding variables including gender, age, smoking, alcohol drinking, diabetes, hypertension, and serum creatinine, MAFLD was significantly associated with the prevalence of colorectal adenoma (OR=1.83, 95% CI: 1.04 ⁃ 3.22, P=0.037) and early colorectal cancer (OR=3.91, 95% CI: 1.14⁃13.42, P=0.031). When stratified as gender, the significant association remained in females (OR=4.04, 95% CI: 1.56 ⁃ 10.47, P=0.004), but not in males. In addition, no correlation was found between MAFLD and the location, size, number, and advanced histology of colorectal adenoma (all P>0.05). Conclusions: MAFLD is an independent risk factor for colorectal adenoma and early colorectal cancer. MAFLD is specifically associated with increased risk of colorectal adenoma in females but not in males.