Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources
Objective: To reevaluate the additional diagnostic value of FNAC from patient profiles in the diagnosis of breast cancer among patients presenting with breast lumps. Methods: A database was reconstructed from routine follow-up data of patients with breast diseases. Predictive ability of the variable...
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th-cmuir.6653943832-598152018-09-10T03:21:55Z Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources J. Patumanond T. Kayee U. Sukkasem Medicine Objective: To reevaluate the additional diagnostic value of FNAC from patient profiles in the diagnosis of breast cancer among patients presenting with breast lumps. Methods: A database was reconstructed from routine follow-up data of patients with breast diseases. Predictive ability of the variables were presented with an area under a receiver operating characteristic (ROC) curve using the logistic model. Results: Age and size of breast lumps alone could predict malignancy with a ROC area of 0.85, (95% CI = 0.81-0.89). When FNAC was added into the logistic model in the presence of age and size of breast lumps, the ROC area increased to 0.95 (95% CI = 0.93-0.97) with statistical significance. Given the same FNAC classification codes, the probability of malignancy increased in older patients and in patients with larger breast lumps. Conclusion: In developing countries where health resources are restricted, FNAC seems to be cost efficient. Continued use of the technique should be encouraged. 2018-09-10T03:21:55Z 2018-09-10T03:21:55Z 2009-07-09 Journal 03922936 2-s2.0-67649755241 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=67649755241&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/59815 |
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Medicine J. Patumanond T. Kayee U. Sukkasem Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
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Objective: To reevaluate the additional diagnostic value of FNAC from patient profiles in the diagnosis of breast cancer among patients presenting with breast lumps. Methods: A database was reconstructed from routine follow-up data of patients with breast diseases. Predictive ability of the variables were presented with an area under a receiver operating characteristic (ROC) curve using the logistic model. Results: Age and size of breast lumps alone could predict malignancy with a ROC area of 0.85, (95% CI = 0.81-0.89). When FNAC was added into the logistic model in the presence of age and size of breast lumps, the ROC area increased to 0.95 (95% CI = 0.93-0.97) with statistical significance. Given the same FNAC classification codes, the probability of malignancy increased in older patients and in patients with larger breast lumps. Conclusion: In developing countries where health resources are restricted, FNAC seems to be cost efficient. Continued use of the technique should be encouraged. |
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Journal |
author |
J. Patumanond T. Kayee U. Sukkasem |
author_facet |
J. Patumanond T. Kayee U. Sukkasem |
author_sort |
J. Patumanond |
title |
Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
title_short |
Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
title_full |
Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
title_fullStr |
Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
title_full_unstemmed |
Empirical accuracy of fine needle aspiration cytology (FNAC) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
title_sort |
empirical accuracy of fine needle aspiration cytology (fnac) for preoperative diagnoses of malignant breast lumps in hospitals with restricted health resources |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=67649755241&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/59815 |
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