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- 저자 : Madiha Tariq (검색결과 3 건)
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Madiha Tariq,Umar Farooq,Makshoof Athar,Muhammad Salman,Muqaddas Tariq 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.1
We investigated the adsorption potential of powdered branches from Ficus religiosa, an abundantly available plant, for the removal of Cu(II) from aqueous solution via column studies. Biomass was used as silica immobilized form and characterized using available techniques, including Fourier transformed infrared spectroscopy (FTIR) and scanning electron microscope (SEM). Breakthrough curve approach was used to explain removal capacity of biomass in a continuous flow mode, using different operating parameters like bed height (5-30 cm), inlet metal concentration (100-300mg/L) and pH (3-5) of the solution, at a fixed flow rate of 2mL/min. Biosorption of Cu(II) favored with increased service time (breakthrough and exhaust time) of the column with an increase in pH of inlet solution. Maximum biosorption capacity (17.5mg/g) for Cu(II) was achieved at 5 cm bed height, pH 5 and 300 mg/L influent Cu(II) concentration. Findings suggested that Ficus religiosa branch powder takes less service time and thus triggers fast removal of metal ions. Bed depth service time (BDST), Thomas and Yoon-Nelson models were effectively applied to the breakthrough data. The study indicated that the immobilized powdered branches could be used for the effective removal of Cu(II) ions in a continuous flow mode.
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Alam, Tariq,Khattak, Yasir Jamil,Beg, Madiha,Raouf, Abdul,Azeemuddin, Muhammad,Khan, Asif Alam Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: In Pakistan thyroid cancer is responsible for 1.2% cases of all malignant tumors. Ultrasonography (US) is helpful in detecting cancerous thyroid nodules on basis of different features like echogenicity, margins, microcalcifications, size, shape and abnormal neck lymph nodes. We therefore aimed to calculate diagnostic accuracy of ultrasound in detection of carcinoma in thyroid nodules taking fine needle aspiration cytology as the reference standard. Materials and Methods: A cross-sectional analytical study was designed to prospectively collect data from December 2010 till December 2012 from the Department of Radiology in Aga Khan University Hospital, Karachi, Pakistan. A total of 100 patients of both genders were enrolled after informed consent via applying non-probability consecutive sampling technique. Patients referred to Radiology department of Aga Khan University to perform thyroid ultrasound followed by fine-needle aspiration cytology of thyroid nodules were included. They were excluded if proven for thyroid malignancy or if their US or FNAC was conducted outside our institution. Results: The subjects comprised 76 (76%) females and 24 males. Mean age was $41.8{\pm}SD$ 12.3 years. Sensitivity and specificity with 95%CI of ultrasound in differentiating malignant thyroid nodule from benign thyroid nodule calculated to be 91.7% (95%CI, 0.72-0.98) and 78.94% (0.68-0.87) respectively. Reported positive predictive value and negative PV were 57.9% (0.41-0.73) and 96.8% (0.88-0.99) and overall accuracy was 82%. Likelihood ratio (LR) positive was computed to be 4.3 and LR negative was 0.1. Conclusions: Ultrasonography has a high diagnostic accuracy in detecting malignancy in thyroid nodules on the basis of features like echogenicity, margins, micro calcifications and shape.
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Ovarian Masses: Is Multi-detector Computed Tomography a Reliable Imaging Modality?
Khattak, Yasir Jamil,Hafeez, Saima,Alam, Tariq,Beg, Madiha,Awais, Mohammad,Masroor, Imrana Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4
Background: Ovarian cancer continues to pose a major challenge to physicians and radiologists. It is the third most common gynecologic malignancy and estimated to be fifth leading cancer cause of death in women, constituting 23% of all gynecological malignancies. Multi-detector computed tomography (MDCT) appears to offer an excellent modality in diagnosing ovarian cancer based on combination of its availability, meticulous technique, efficacy and familiarity of radiologists and physicians. The aim of this study was to compute sensitivity, specificity, positive and negative predictive values and diagnostic accuracy of 64-slice MDCT in classifying ovarian masses; 95% confidence intervals were reported. Materials and Methods: We prospectively designed a cross-sectional analytical study to collect data from July 2010 to August 2011 from a tertiary care hospital in Karachi, Pakistan. A sample of 105 women aged between 15-80 years referred for 64-MDCT of abdomen and pelvis with clinical suspicion of malignant ovarian cancer, irrespective of stage of disease, were enrolled by non-probability purposive sampling. All patients who were already known cases of histologically proven ovarian carcinoma and having some contraindication to radiation or iodinated contrast media were excluded. Results: Our prospective study reports sensitivity, specificity; positive and negative predictive values with 95%CI and accuracy were computed. Kappa was calculated to report agreement among the two radiologists. For reader A, MDCT was found to have 92% (0.83, 0.97) sensitivity and 86.7% (0.68, 0.96) specificity, while PPV and NPV were 94.5% (0.86, 0.98) and 86.7% (0.63, 0.92), respectively. Accuracy reported by reader A was 90.5%. For reader B, sensitivity, specificity, PPV and NPV were 94.6% (0.86, 0.98) 90% (0.72, 0.97) 96% (0.88, 0.99) and 87.1% (0.69, 0.95) respectively. Accuracy computed by reader B was 93.3%. Excellent agreement was found between the two radiologists with a significant kappa value of 0.887. Conclusion: Based on our study results, we conclude MDCT is a reliable imaging modality in diagnosis of ovarian masses accurately with insignificant interobserver variability.
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