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جستجوی مقالات مرتبط با کلیدواژه "acute myelogenous leukemia" در نشریات گروه "پزشکی"

جستجوی acute myelogenous leukemia در مقالات مجلات علمی
  • Amer Yazdanparast, Gholamreza Fathpour, Shirin Saberianpour*

    Global cancer statistics will continue to grow in the coming years. Leukemia is the fifth leading cause of death in the world and the second one in Iran; therefore, it is very important to study the affected areas, including the cardiovascular system in this disease. In heart cancer, tumors whose primary origin is the heart are called primary tumors, which are very rare. Tumors that originate in other parts of the body and spread to the heart are called secondary tumors. Although heart cancer is still rare, most cancers found in the heart come from other parts of the body and are considered as secondary tumors. The symptoms of metastatic heart cancer vary and depend on the location and extent of the lesion. Cancer can also affect the heart in other ways. One of these ways is the effect of the treatments used, which is reported among acute lymphocytic leukemia, acute myelogenous leukemia, chronic lymphocytic leukemia, and chronic myelogenous leukemia due to the use of tyrosine kinase inhibitors as the main drug in reducing mortality among these patients. Pericardial involvement is reported to be the most common cardiovascular complication of drug use among different kinds of leukemias. In this article, we try to collect cardiovascular evidence related to acute lymphocytic leukemia, acute myelogenous leukemia, chronic lymphocytic leukemia, and chronic myelogenous leukemia, separately.

    Keywords: Acute lymphocytic leukemia, Acute myelogenous leukemia, Cancer, Cardiovascular disease
  • Sina Salari, Ali Darakhshandeh, Roohollah Gholampour Shahaboddini, Azadeh Moghaddas *
    Myeloid or granulocytic sarcoma is an extramedullary tumor of immature granulocytic cells. This condition is rare and has a challenging diagnosis, relying on a high index of suspicion as well as radiology, histology, immunophenotyping, and molecular analyses. We herein report a case of a 25-year-old woman presented with vaginal bleeding and a large pelvic mass involving the vaginal and uterus. A biopsy and immunohistochemical examination of the mass revealed granulocytic sarcoma, and a subsequent bone marrow biopsy confirmed the diagnosis of acute myelogenous leukemia. The patient was treated based on the standard chemotherapy followed by allogeneic bone marrow transplantation from her full-matched sibling donor. After a 9-months follow-up, there was no notable complication, and the patient is now completely disease-free. Granulocytic sarcoma of the cervix is rare, and awareness of this entity is required for timely diagnosis and effective treatment.
    Keywords: Granulocytic sarcomas, Acute myelogenous leukemia, Immunohistochemical, Myeloid sarcoma
  • Fatemeh Kazemi *, Tooraj Abbasian Najafabadi, Babak Nadjar Araabi
    Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blasts in the bone marrow. Careful microscopic examination of stained blood smear or bone marrow aspirate is still the most significant diagnostic methodology for initial AML screening and considered as the first step toward diagnosis. It is time-consuming and due to the elusive nature of the signs and symptoms of AML; wrong diagnosis may occur by pathologists. Therefore, the need for automation of leukemia detection has arisen. In this paper, an automatic technique for identification and detection of AML and its prevalent subtypes, i.e., M2–M5 is presented. At first, microscopic images are acquired from blood smears of patients with AML and normal cases. After applying image preprocessing, color segmentation strategy is applied for segmenting white blood cells from other blood components and then discriminative features, i.e., irregularity, nucleus-cytoplasm ratio, Hausdorff dimension, shape, color, and texture features are extracted from the entire nucleus in the whole images containing multiple nuclei. Images are classified to cancerous and noncancerous images by binary support vector machine (SVM) classifier with 10-fold cross validation technique. Classifier performance is evaluated by three parameters, i.e., sensitivity, specificity, and accuracy. Cancerous images are also classified into their prevalent subtypes by multi-SVM classifier. The results show that the proposed algorithm has achieved an acceptable performance for diagnosis of AML and its common subtypes. Therefore, it can be used as an assistant diagnostic tool for pathologists.
    Keywords: Acute myelogenous leukemia, automation, bone marrow, cytoplasm, k, means clustering, support vector machine
  • Samaneh Keshavarz, Mohammad Reza Shams Ardekani, Maliheh Safavi, Bahram Chahardouli, Fatemeh Nadali
    Background
    Urtica dioica is one of the medicinal herbs with many uses in treating various diseases. In some studies, its antiproliferative and apoptotic effects on cancer cell lines have been shown. Therefore, the evaluation of U. dioica effect was performed on KG-1 cell line for acute myelogenous leukemia (AML) for the first time in this study.
    Materials And Methods
    KG-1 cell line was treated by various extracts (aqueous, hydroalcoholic, chloroform and ethyl acetate) of U. dioica aerial parts and roots in different concentrations. Metabolic activity of extracts on cell line was assessed by MTT assay. To evaluate the percentage of apoptotic cells, the flow cytometry was performed by FITC Annexin V-PI apoptosis detection kit in KG-1 cell line treated with root chloroform (UDC-R) and ethyl acetate (UDE-R) extracts. The results have been reported as percentage of cell viability and IC50.
    Results
    Based on MTT results, the strongest IC50 in KG-1 cell line (219.361μg/ml) was related to UDC-R. The flow cytometric analysis showed that UDC-R and UDE-R in IC50 concentration induced early (53.6% and 57.4%, respectively) and late (27% and 33.2%, respectively) apoptosis in KG-1 cells after 24 hrs. The inhibition of cell proliferation by various extracts of U. dioica was dependent on concentration (p=0.000).
    Conclusion
    Flow cytometric analysis confirmed that UDC-R and UDE-R extracts affect on proliferation reduction of KG-1 cells by activating the apoptotic pathway.
    Keywords: Urtica dioica extract, acute myelogenous leukemia, KG-1, IC50, apoptosis
  • Layla Van Doren*, Joshua Sapkin, Mojtaba Akhtari
    Congenital bone marrow failure syndromes (CBMFS) are generally diagnosed in infancy and early childhood, but may go unrecognized until adulthood. These syndromes are increasingly being diagnosed into adulthood, possibly due to the availability of genetic testing. We describe a young gentleman diagnosed with acute myelogenous leukemia (AML) who underwent induction chemotherapy with resulting persistent pancytopenia and hypocellular bone marrow without any signs of recovery which is usually seen about 4 weeks after induction. He was incidentally found to have near complete fatty replacement of the pancreas on imaging. The constellation of findings was consistent with a CBMFS. The patient was subsequently diagnosed with Shwachman Diamond syndrome.
    Keywords: Shwachman diamond syndrome, congenital bone marrow failure syndrome, acute myelogenous leukemia
  • Mehrdad Payandeh, Reza Khodarahmi, Masoud Sadeghi, Edris Sadeghi
    Acute Myelogenous Leukemia (AML) is an aggressive hematologic malignancy that cause by abnormal proliferation and accumulation of hematopoietic progenitor cells. A 37-year-old woman referred to oncologic clinic with a self-detected mass and pain in her left breast. The stage of tumor was ΙΙΙA. She was treated with the combination of anthracycline and cyclophosphamide for four courses, followed by four courses of paclitaxel with trastuzumab for one year. After 18 months of the first treatment for breast cancer, her bone marrow biopsy was compatible with AML-M2.Here, we are reporting a young woman case with breast cancer that developed AML malignancy during short interval of therapy.
    Keywords: Acute myelogenous leukemia, Cyclophosphamide, Paclitaxel
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