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1.
Medicine (Baltimore) ; 100(35): e26918, 2021 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-34477122

RESUMO

BACKGROUND: Radical pancreaticoduodenectomy is the only possible cure for pancreatic head adenocarcinoma, and although several RCT studies have suggested the extent of lymph node dissection, this issue remains controversial. This article wanted to evaluate the survival benefit of different lymph node dissection extent for radical surgical treatment of pancreatic head adenocarcinoma. METHODS: A total of 240 patients were assessed for eligibility in the study, 212 of whom were randomly divided into standard lymphadenectomy group (SG) or extended lymphadenectomy group (EG), there were 97 patients in SG and 95 patients in EG receiving the radical pancreaticoduodenectomy. RESULT: The demography, histopathology and clinical characteristics were similar between the 2 groups. The 2-year overall survival rate in the SG was higher than the EG (39.5% vs 25.3%; P = .034). The 2-year overall survival rate in the SG who received postoperative adjuvant chemotherapy was higher than the EG (60.7% vs 37.1%; P = .021). There was no significant difference in the overall incidence of complications between the 2 groups (P = .502). The overall recurrence rate in the SG and EG (70.7% vs 77.5%; P = .349), and the patterns of recurrence between 2 groups were no significant differences. CONCLUSION: In multimodality therapy system, the efficacy of chemotherapy should be based on the appropriate lymphadenectomy extent, and the standard extent of lymphadenectomy is optimal for resectable pancreatic head adenocarcinoma. The postoperative slowing of peripheral blood lymphocyte recovery might be 1 of the reasons why extended lymphadenectomy did not result in survival benefits. CLINICAL TRIAL REGISTRATION: This trial was registered at ClinicalTrials.gov (NCT02928081) in October 7, 2016. https://clinicaltrials.gov/.


Assuntos
Adenoma/cirurgia , Excisão de Linfonodo/normas , Neoplasias Pancreáticas/cirurgia , Adenoma/epidemiologia , Adenoma/mortalidade , Idoso , Distribuição de Qui-Quadrado , Feminino , Humanos , Excisão de Linfonodo/métodos , Excisão de Linfonodo/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Neoplasias Pancreáticas/epidemiologia , Neoplasias Pancreáticas/mortalidade , Pancreaticoduodenectomia/métodos , Pancreaticoduodenectomia/normas , Pancreaticoduodenectomia/estatística & dados numéricos , Modelos de Riscos Proporcionais , Estudos Prospectivos , Método Simples-Cego
2.
IEEE Trans Med Imaging ; 40(1): 12-25, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-32877335

RESUMO

Early screening of PDAC (pancreatic ductal adenocarcinoma) based on plain CT (computed tomography) images is of great significance. Therefore, this work conducted a radiomics-aided diagnosis analysis of PDAC based on plain CT images. We explored a novel MSTA (multiresolution-statistical texture analysis) architecture to extract texture features and built machine learning models to classify PDACs and HPs (healthy pancreases). We also performed significance tests of differences to analyze the relationships between histopathological characteristics and texture features. The MSTA architecture originates from the analysis of histopathological characteristics and combines multiresolution analysis and statistical analysis to extract texture features. The MSTA architecture achieved better experimental results than the traditional architecture that scales the coefficient matrices of the multiresolution analysis. In the validation of the classifications, the MSTA architecture achieved an accuracy of 81.19% and an AUC (area under the ROC (receiver operating characteristic) curve) of 0.88 (95% confidence interval: 0.84-0.92). In the test of the classifications, it achieved an accuracy of 77.66% and an AUC of 0.79 (95% confidence interval: 0.71-0.87). Moreover, the significance tests of differences showed that the extracted texture features may be relevant to the histopathological characteristics. The MSTA architecture is beneficial for the radiomics-aided diagnosis of PDAC based on plain CT images. Its texture features can potentially enhance radiologists' imaging interpretation abilities.


Assuntos
Carcinoma Ductal Pancreático , Neoplasias Pancreáticas , Carcinoma Ductal Pancreático/diagnóstico por imagem , Humanos , Aprendizado de Máquina , Neoplasias Pancreáticas/diagnóstico por imagem , Curva ROC , Estudos Retrospectivos , Tomografia Computadorizada por Raios X
3.
Comput Math Methods Med ; 2020: 2761627, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32377222

RESUMO

Background: In a pathological examination of pancreaticoduodenectomy for pancreatic head adenocarcinoma, a resection margin without cancer cells in 1 mm is recognized as R0; a resection margin with cancer cells in 1 mm is recognized as R1. The preoperative identification of R0 and R1 is of great significance for surgical decision and prognosis. We conducted a preliminary radiomics study based on preoperative CT (computer tomography) images to evaluate a resection margin which was R0 or R1. Methods: We retrospectively analyzed 258 preoperative CT images of 86 patients (34 cases of R0 and 52 cases of R1) who were diagnosed as pancreatic head adenocarcinoma and underwent pancreaticoduodenectomy. The radiomics study consists of five stages: (i) delineate and segment regions of interest (ROIs); (ii) by solving discrete Laplacian equations with Dirichlet boundary conditions, fit the ROIs to rectangular regions; (iii) enhance the textures of the fitted ROIs combining wavelet transform and fractional differential; (iv) extract texture features from the enhanced ROIs combining wavelet transform and statistical analysis methods; and (v) reduce features using principal component analysis (PCA) and classify the resection margins using the support vector machine (SVM), and then investigate the associations between texture features and histopathological characteristics using the Mann-Whitney U-test. To reduce overfitting, the SVM classifier embedded a linear kernel and adopted the leave-one-out cross-validation. Results: It achieved an AUC (area under receiver operating characteristic curve) of 0.8614 and an accuracy of 84.88%. Setting p ≤ 0.01 in the Mann-Whitney U-test, two features of the run-length matrix, which are derived from diagonal sub-bands in wavelet decomposition, showed statistically significant differences between R0 and R1. Conclusions: It indicates that the radiomics study is rewarding for the aided diagnosis of R0 and R1. Texture features can potentially enhance physicians' diagnostic ability.


Assuntos
Adenocarcinoma/diagnóstico por imagem , Adenocarcinoma/cirurgia , Neoplasias Pancreáticas/diagnóstico por imagem , Neoplasias Pancreáticas/cirurgia , Pancreaticoduodenectomia , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Humanos , Margens de Excisão , Análise de Componente Principal , Prognóstico , Interpretação de Imagem Radiográfica Assistida por Computador/estatística & dados numéricos , Estudos Retrospectivos , Máquina de Vetores de Suporte , Tomografia Computadorizada por Raios X/estatística & dados numéricos , Análise de Ondaletas
4.
Cancer Cell Int ; 20: 63, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32140076

RESUMO

Background: Pancreatic ductal adenocarcinoma (PDA) is one of the most serious causes of death in the world due to its high mortality and inefficacy treatments. MEX3A was first identified in nematodes and was associated with tumor formation and may promote cell proliferation and tumor metastasis. So far, nothing is known about the relationship between MEX3A and PDA. Methods: In this study, the expression level of MEX3A in PDA tissues was measured by immunohistochemistry. The qRT-PCR and western blot were used to identify the constructed MEX3A knockdown cell lines, which was further used to construct mouse xenotransplantation models. Cell proliferation, colony formation, cell apoptosis and migration were detected by MTT, colony formation, flow cytometry and Transwell. Results: This study showed that MEX3A expression is significantly upregulated in PDA and associated with tumor grade. Loss-of-function studies showed that downregulation of MEX3A could inhibit cell growth in vitro and in vivo. Moreover, it was demonstrated that knockdown of MEX3A in PDA cells promotes apoptosis by regulating apoptosis-related factors, and inhibits migration through influencing EMT. At the same time, the regulation of PDA progression by MEX3A involves changes in downstream signaling pathways including Akt, p-Akt, PIK3CA, CDK6 and MAPK9. Conclusions: We proposed that MEX3A is associated with the prognosis and progression of PDA,which can be used as a potential therapeutic target.

5.
6.
Medicine (Baltimore) ; 98(51): e18141, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31860961

RESUMO

RATIONALE: Peliosis hepatis (PH), which is characterized by blood-filled cavities in the liver, is a rare disease. Its diagnosis depends on postoperative pathological examinations and immunohistochemistry. PATIENT CONCERNS: A 44-year-old female complained of right-middle upper abdominal pain and distension for 1 month, with occasional vomiting and fever. DIAGNOSIS: Because of the similar imaging features, the patient was initially misdiagnosed as cystic echinococcosis (CE). The immunoassay of echinococcosis was negative. Irregular hepatectomy was performed. Eventually, the patient was diagnosed with PH based on postoperative histopathology and immunohistochemistry. INTERVENTIONS: The patient underwent hepatectomy. Then, the cystic lesion was collected for intraoperative pathological examination. Thus, the blood liquid was extracted from the cystic lesion. Pringle maneuver was administered to prevent bleeding, and then the whole cystic lesion was removed. OUTCOMES: She recovered smoothly and there was no relapse occurred during 6 months' follow-up. LESSONS: It is difficult to differentiate PH from CE and other hepatic diseases due to the lack of special imaging features. Pathological examinations and immunohistochemistry can provide a confirmed diagnosis of PH.


Assuntos
Equinococose/diagnóstico , Hepatectomia/métodos , Peliose Hepática/diagnóstico , Peliose Hepática/patologia , Dor Abdominal/diagnóstico , Dor Abdominal/etiologia , Adulto , Biópsia por Agulha , Diagnóstico Diferencial , Equinococose/diagnóstico por imagem , Feminino , Seguimentos , Humanos , Imuno-Histoquímica , Imageamento por Ressonância Magnética/métodos , Peliose Hepática/diagnóstico por imagem , Peliose Hepática/cirurgia , Doenças Raras , Índice de Gravidade de Doença , Tomografia Computadorizada por Raios X/métodos , Resultado do Tratamento
7.
Hepatobiliary Surg Nutr ; 8(6): 677-678, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31930007
8.
Hepatogastroenterology ; 61(136): 2336-9, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25699378

RESUMO

BACKGROUND/AIMS: To evaluate the effect of high-intensity ultrasound (HIFU) ablation on human hepatocellular carcinoma tissues and apoptotic proteins (bcl-2 and p-53). METHODOLOGY: Patients with hepatocellular carcinoma at stage B were treated with HIFU ablation. Levels of bcl-2 and p53 protein and the apoptosis rate were evaluated both in the pre-treatment and post-treatment tissue specimens using immunochemistry and TUNEL methods, respectively. RESULTS: After HIFU ablation, p53 protein levels were significantly increased around the coagulation necrosis area, whereas, the level of bcl-2 was significantly decreased. More apoptosis cells were found post ablation compared with those in the pretreatment tissues. Additionally, no significant correlation was found between p53/bcl-2 levels and apoptotic index. CONCLUSIONS: HIFU ablation may exert promote the apoptosis of hepatocellular carcinoma cells and the effect has a closely association with the change of p53 and bcl-2 expression.


Assuntos
Apoptose , Carcinoma Hepatocelular/cirurgia , Ablação por Ultrassom Focalizado de Alta Intensidade , Neoplasias Hepáticas/cirurgia , Adulto , Idoso , Carcinoma Hepatocelular/patologia , Feminino , Humanos , Neoplasias Hepáticas/patologia , Masculino , Pessoa de Meia-Idade , Proteínas Proto-Oncogênicas c-bcl-2/análise , Proteína Supressora de Tumor p53/análise
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