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Correlation between Chest Radiograph and Lung Ultrasound with Clinical Appearance in Hyaline Membrane Disease Patients Wa O. Zerbarani; Sri Asriani; Mirna Muis; Ema Alasir
MEDULA: Jurnal Ilmiah Fakultas Kedokteran Universitas Halu Oleo Vol. 10 No. 1 (2022): Oktober
Publisher : MEDULA: Jurnal Ilmiah Fakultas Kedokteran Universitas Halu Oleo

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Background: Hyaline membrane disease (HMD) is a respiratory distress disease in premature infants due to surfactant deficiency. The combination of clinical, laboratory and radiological features makes it easy to quickly, precisely & accurately establish HMD which is important for early therapy in preventing death. Purpose: Knowing the suitability between chest X-ray & Thorax ultrasound with the clinical picture in HMD patients. Methods: This study is an observational study with a cross sectional method conducted in the radiology & NICU section of Dr. Wahidin Sudirohusodo Makassar from August 2021 to January 2022. Sampling was done by consecutive sampling. The researcher performed a thorax ultrasound & assessed the chest x-ray. The results were verified by two pediatric radiology consultants. Results: The largest sample was in neonates at 34 weeks of gestation, 8 samples (21.1%), sex with 25 samples (65.8%), the highest birth weight between 1000-2000 grams 32 samples (84.2%) , the most preterm etiology was due to severe preeclampsia in 13 samples (34.2%), the most deliveries were by cesarean section 34 samples (89.4%), the highest APGAR Score was in moderate degree 25 samples (65.8%), the highest O2 saturation was between 90 -94%, namely 24 samples (63.2%), the most down scores were moderate degrees 15 samples (39.5%), HMD degrees based on chest radiographs were mostly grade II 25 samples (65.8%), HMD degrees based on thorax ultrasound the most in the moderate degree 19 samples (50%).Conclusion: Ultrasound is considered as the radiological modality of choice because it is safe, inexpensive, easy & sensitive to assess respiratory distress in neonates but is influenced by the operator's ability to apply it.
Accuracy of Multiparametric Magnetic Resonance Imaging (MRI) in Determining Prostate Malignancy Based on Histopathological Results Hendrick Revian; Mirna Muis; Rafikah Rauf; Muhammad A.A. Palinrungi; Andi A. Zainuddin
MEDULA: Jurnal Ilmiah Fakultas Kedokteran Universitas Halu Oleo Vol. 11 No. 1 (2023): Akhir
Publisher : MEDULA: Jurnal Ilmiah Fakultas Kedokteran Universitas Halu Oleo

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Background: Prostate cancer is the most common malignancy in men in many regions of the world and is the second cause of cancer death in men as well as the third most common urological cancer in Indonesian men. One of the radiology examinations used to detect prostate cancer is multiparametric MRI which is a series of prostate magnetic resonance combining anatomical and functional imaging to detect and characterize prostate lesions. Purposes: This study aims to assess the accuracy of multiparametric prostate MRI in detecting prostate cancer based on the results of histopathological examination. Methods: This research used sensitivity value, specificity value, positive prediction value, and negative prediction value as well as Chi-Square test (P value < 0.05) to assess accuracy in SPSS program version 25. Results: This research was conducted at the central radiology installation of Dr. Wahidin Sudirohusodo Hospital and Hasanuddin University Hospital Makassar from February 2022 to July 2022, with 40 samples were obtained. Most samples were at the age of 60-70 years with 18 samples (45%), the most common lesion site was in the transitional zone with 19 samples (47.5%), multiparametric MRI results were predominant in the PIRADS 2 group with total sample of 18 (45%), PIRADS grading was obtained from benign categories (PIRADS 1 and 2) as much as 18 samples (45%) and from malignancy categories (PIRADS 3-5) with 22 samples (55%). Histopathological examination obtained benign results (BPH and prostatitis) in 21 samples (52.50%) and malignant in 19 samples (47.5%). Conclusion: We found correlation between multiparametric prostate MRI dan histopathological results by using bivariate correlation test with p values < 0.001. Multiparametric prostate MRI sensitivity value 100%, specificity 85.7%, positive prediction value 83.3%, Negative Prediction Value 100%, and accuracy 92.5%.