• Title/Summary/Keyword: malignant tumors

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Ten Year Experience with Surgery and Radiation in the Management of Malignant Major Salivary Gland Tumors

  • Iqbal, Hassan;Bhatti, Abu Bakar Hafeez;Hussain, Raza;Jamshed, Arif
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.5
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    • pp.2195-2199
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    • 2014
  • Background: Despite being rare in incidence, malignant tumors of major salivary glands show diverse histological variation. There are limited data on major salivary gland tumor management and outcome from Pakistan. The objective of this study was to share our experience with management of malignant tumors of major salivary glands. Materials and Methods: Patients who received treatment at Shaukat Khanum Cancer Hospital and Research Center from July 2002 to June 2011 with an underlying diagnosis of a major salivary gland malignancy were included. Patient characteristics and treatment modalities were assessed. Local, regional and distant failures were determined. Disease free survival (DFS) and overall survival (OS) were calculated using Kaplan Meier curves and the Log rank test was used to determine statistical significance. Univariate and multivariate analyses were performed using Cox proportional hazard regression. Results: The parotid gland was the primary site of origin in 104 (80%) patients. Mucoepidermoid carcinoma (43%) and adenoid cystic carcinoma (24%) were the most common histological types. Surgery followed by adjuvant radiation remained the mainstay treatment modality with 81 (62%) patients. Nineteen (15%) patients were treated with surgery alone and 30 (23%) patients with locally advanced surgically inoperable tumors received radiation only. Forty one (32%) patients failed the treatment (local 12, regional 11, locoregional 5, distant 13). The expected 5 year DFS and OS were 65% and 74% respectively. On multivariate analysis, grade was the only independent predictor of DFS and nodal involvement was the only independent predictor of overall survival. Conclusions: Employing existing standards of treatment, comparable survival can be achieved in Pakistani population with major salivary gland malignancies as elsehwere in the world.

Chest wall tumors [131 cases] (흉벽종양)

  • Jo, Gyu-Seok;Park, Ju-Cheol;Yu, Se-Yeong
    • Journal of Chest Surgery
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    • v.17 no.3
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    • pp.516-521
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    • 1984
  • We have experienced 131 cases of chest wall tumor, from April 1974 to April 1984 at the Kyung Hee University hospital. We analyzed 131 cases of chest wall tumors, 59 cases were primary chest wall tumors and 72 cases were secondary chest wall tumors. The results were following; 1.Of primary benign chest wall tumors [56], lipomas were most common and located mainly in the scapular area [37/56]. 2.Of secondary malignant chest wall tumors [72], which originated from hung tumors were most common [27/72], & breast [8/72], liver [8/72], prostate [6/72] & stomach [3/72] were followed lowed in orders. 3.We excluded out the Rib tuberculosis.

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Clinical analysis of mediastinal tumor (종격동 종양의 임상적 고찰;34례 임상경험)

  • 박재홍
    • Journal of Chest Surgery
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    • v.26 no.12
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    • pp.940-943
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    • 1993
  • Mediastinal tumors have long fascinated the thoracic surgeon of their variety and unpredictability of iagnosis prior to exploration.We report the analysis of the 34 cases of mediastinal tumors,experenced in the dept.of the Thoracic and Cardiovascular Surgery of the National Medical Center.Between the 1993.9-1992.12. The age distribution was relatively even and the mean age was 35 years old.The thymomas were 16 cases [ 47% ].the lipoma were 4 cases [12%].the germ cell tumors were 7 cases [20%].the neurogenic tumors were 3 cases [8%].Histologically analysised .The malignant tumors were 16 cases [17.6%] in classified by hisotlogical types.the tumor size,location,and the clinical manifestation are presented.The successful removal was done in 28 cases [ 100%] among 28 cases of benign mediastinal tumors. Among the 6 cases of malignancy mediastinal tumors, the surgical intervention had done in 5 cases [ 83%] and inoperatable cases were 1 case [16.6%].There was no operative death.

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Clinical Experiences for Primary Cardiac Tumors (원발성 심장 종양의 임상적 고찰)

  • Yu Song Hyeon;Lim Sang Hyun;Yoo Kyung Jong;Park Young Hwan;Chang Byung Chul;Kang Meyun Shick;Hong You Sun
    • Journal of Chest Surgery
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    • v.38 no.4 s.249
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    • pp.301-307
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    • 2005
  • Primary cardiac tumors are known to be rare. We studied the surgical results for primary cardiac tumors. Material and Method: Between August 1980 and December 2003, we classified 86 patients who had operation for primary cardiac tumors in our center into 3 groups; myxoma, nonmyxoma benign tumors, and malignant tumors. The mean age was $44.3\pm20.8$ years and 59 patients $(66.3\%)$ were female. In postoperative pathologic diagnosis, there were 81 cases $(94.2\%)$ of benign tumors in which myxoma was the most common tumor $(70\;cases,\;78.7\%);$ 5 fibroma $(5.6\%)$, 3 rhabdomyoma $(3.4\%)$, and 5 malignant tumors $(5.8\%)$. Result: $86.4\%$ of benign tumor was myxoma and the mean age was $50.4\pm15.4\;(range\;7\~80)$ years. Tumor was more common in females (49 cases) and most common preoperative symptom was dyspnea $(62.9\%)$. 57 cases were located at left atrial septum and only one case, which was located at right ventricular septum, was resected incompletely. There were no hospital deaths and one patient had mitral valve replacement on the first operative day due to newly developed postoperative mitral regurgitation. The mean follow up period was $109.3\pm71.8$ months and there was no evidence of recurrence in this period. 11 cases $(12.8\%)$ were non myxoma benign tumors; 5 fibromas, 3 rhabdo-myomas, etc. There were two hospital deaths and the causes of death were fungal endocarditis and hypoxia. There were no reoperations in nonmyxoma benign tumors. Malignant tumors were in 5 cases $(5.8\%);$ undifferentiated sarcoma in 2, rhabdomyosarcoma in 1, etc. Although there were no hospital mortalities, 3 patients who were followed up died from complications of tumors. Conclusion: Myxomas showed very excellent prognosis after complete resection and nonmyxoma benign tumors showed relatively good results for relief of symptoms. Surgery helped to relieve symptoms for malignant tumors, but the prognosis was poor.

Diagnostic Accuracy of Fine Needle Aspiration Cytology versus Concurrent Core Needle Biopsy in Evaluation of Intrathoracic Lesions: a Retrospective Comparative Study

  • Eftekhar-Javadi, Arezoo;Kumar, Perikala Vijayananda;Mirzaie, Ali Zare;Radfar, Amir;Filip, Irina;Niyazi, Maximilian;Sadeghipour, Alireza
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.16
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    • pp.7385-7390
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    • 2015
  • Background: Transthoracic fine needle aspiration (FNA) cytology and core needle biopsy (CNB) are two commonly used approaches for the diagnosis of suspected neoplastic intrathoracic lesions. This study compared the diagnostic accuracy of FNA cytology and concurrent CNB in the evaluation of intrathoracic lesions. Materials and Methods: We studied FNA cytology and concurrent CNB specimens of 127 patients retrospectively, using hematoxylin and eosin (H&E), immunohistochemistry, and, on certain occasions cytochemistry. Information regarding additional tissue tests was derived from the electronic archives of the Department of Pathology and Laboratory Medicine as well as patient records. Diagnostic accuracy was calculated for each test. Results: Of 127 cases, 22 were inconclusive and excluded from the study. The remaining 105 were categorized into 73 (69.5%) malignant lesions and 32 (30.5%) benign lesions. FNA and CNB findings were in complete agreement in 63 cases (60%). The accuracy and confidence intervals (CIs) of FNA and CNB for malignant tumors were 86.3% (CI: 79.3-90.7) and 93.2% (CI: 87.3-96.0) respectively. For epithelial malignant neoplasms, a definitive diagnosis was made in 44.8% of cases by FNA and 80.6% by CNB. The diagnostic accuracy of CNB for nonepithelial malignant neoplasms was 83.3% compared with 50% for FNA. Of the 32 benign cases, we made specific diagnoses in 16 with diagnostic accuracy of 81.3% and 6.3% for CNB and FNA, respectively. Conclusions: Our findings suggest that FNA is comparable to CNB in the diagnosis of malignant epithelial lesions whereas diagnostic accuracy of CNB for nonepithlial malignant neoplasms is superior to that for FNA. Further, for histological typing of tumors and examining tumor origin, immunohistochemical work up plays an important role.

A Rare Entity: Primary Malignant Melanoma of the Anorectum (아주 드문 항문직장 악성 흑색종 )

  • Jeongmin Choi;Jong Whan Kim
    • Journal of Digestive Cancer Research
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    • v.12 no.1
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    • pp.44-47
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    • 2024
  • Malignant melanomas, which are rarely found in the Asian population, are malignant tumors or melanocytes that manifest in the skin mucosa. Malignant melanomas of the anorectum are very rare and account for approximately 1% of all malignant melanomas in the Asian population. Here, we present a rare case presenting a malignant melanoma of the anorectum. An 85-year-old woman visited the hospital with bloody stools and an anal mass. Sigmoidoscopy revealed a black mass protruding from the anus, and the scope was able to penetrate the anorectal mass. Close-up endoscopy revealed black moles of different sizes scattered across the rectal mucosa. PET-CT indicated multiple FDG uptakes in the liver, indicating multiple metastases. Pathologic examination led to the detection of malignant melanocytes with dark brown deposits. The patient's immunohistochemical markers were positive for melanin-A antibodies and HMB-45, indicating a malignant melanoma. As there was no evidence of malignant melanomas on the skin, the patient was diagnosed with primary malignant anorectal melanoma with liver metastases.

Breast Cancer Images Classification using Convolution Neural Network

  • Mohammed Yahya Alzahrani
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.113-120
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    • 2023
  • One of the most prevalent disease among women that leads to death is breast cancer. It can be diagnosed by classifying tumors. There are two different types of tumors i.e: malignant and benign tumors. Physicians need a reliable diagnosis procedure to distinguish between these tumors. However, generally it is very difficult to distinguish tumors even by the experts. Thus, automation of diagnostic system is needed for diagnosing tumors. This paper attempts to improve the accuracy of breast cancer detection by utilizing deep learning convolutional neural network (CNN). Experiments are conducted using Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Compared to existing techniques, the used of CNN shows a better result and achieves 99.66%% in term of accuracy.