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Journal : Journal of Innovation Research and Knowledge

ANALISIS REJECT FILM DIGITAL RADIOGRAFI DI INSTALASI RADIOLOGI RSUD SIDOARJO BARAT Akmal Fajar Huwolo; Ari Anggraeni; Ildsa Maulidya Mar'athus Nasokha
Journal of Innovation Research and Knowledge Vol. 5 No. 4: September 2025
Publisher : Bajang Institute

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Abstract

Background: Reject analysis is an evaluation of rejected radiographic results. At the Radiology Department of Sidoarjo Barat General Hospital, the recording and evaluation of rejected films have not been optimally implemented despite the use of Digital Radiography (DR) technology. There are still radiographs that are rejected without adequate documentation and analysis. This study aims to identify the causes of rejection, the percentage of rejected films, and the recording and analysis systems in place. Method: The study was conducted from October 2024 to July 2025 using a mixed-method approach (qualitative and quantitative). The qualitative approach involved observation, interviews, and documentation of radiographers and medical physicists, as well as analysis of secondary data from regulations and publications. The quantitative approach involved collecting data on the total number of digital images and rejected images. The rejection rate was calculated using the formula: (number of rejected images ÷ total number of images) × 100%. Results: The film rejection rate was recorded at 0.84% (8 films out of 946 uses) in October 2024 and increased to 1.96% (23 films out of 1,173 uses) in November 2024, and 1.28% (13 films out of 1,012 uses) in December 2024. The total number of film uses from October to December was 3,131 films. The causes of film rejection included human error (2.72%), tool error (3.86%), foreign objects (0.90%), fog (0.68%), and patient error (1.81%). Tool error was the most common cause. The most common type of examination with rejections was lumbosacral, while the lowest was femur. Conclusion: The implementation of data collection on the factors causing film rejections does not yet comply with regulations. The researcher recommends paying attention to the evaluation of film rejection analysis in radiology department management to ensure quality assurance continues to operate safely
STUDI KASUS PENGGUNAAN MAXIMUM INTENSITY PROJECTION DALAM MENINGKATKAN KUALITAS CITRA PADA PEMERIKSAAN CT UROGRAFI DENGAN KLINIS NEFROLITIASIS Zahra Sekar Ashsheibyra; Ildsa Maulidya Mar'athus Nasokha; Ike Ade Nur Liscyaningsih
Journal of Innovation Research and Knowledge Vol. 5 No. 4: September 2025
Publisher : Bajang Institute

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Abstract

Background: In CT Urography examinations with clinical nephrolithiasis, small stones are often difficult to detect using standard reconstruction because they are hidden between imaging slices. Maximum Intensity Projection (MIP) is a reconstruction algorithm that displays voxels with the highest attenuation into a two-dimensional image, so that high-density structures such as calcifications appear more clearly. Based on observations at the Radiology Installation of RS X, image reconstruction was added with MIP. This study aims to determine the CT Urography examination procedure and the reasons for using MIP to improve image quality in nephrolithiasis cases. Method: This qualitative research applied a case study approach. The study was conducted at the Radiology Unit of RS X in May 2025. Subjects included three radiographers and one radiologist, as well as CT urography subjects with clinical nephrolithiasis. Data were obtained through observation, documentation, and interviews, then analyzed through data reduction, data presentation, and conclusion drawing. Results: The CT urography examination procedure followed a plain abdominal protocol, with patient preparation including the consumption of 700-1000 mL of warm tea without fasting. Image reconstruction was performed by adding MIP to coronal sections showing abnormalities. MIP provided clearer and more intact visualization of the kidneys with well-defined borders. Kidney stones appeared brighter and had better contrast, with Hounsfield Unit (HU) values ​​at 5 mm slice thickness increasing from 507 to 516 after MIP application. This increase illustrates the mechanism of MIP in displaying voxels with the highest attenuation, making stones easier to recognize. HU values ​​before and after MIP fell within the classification range of calcium oxalate and calcium phosphate commonly found in the urinary tract. Conclusion: The use of MIP has been shown to improve image quality, particularly in visualizing kidney stones, thus supporting diagnostic accuracy and interpretive efficiency. Fasting preparation is still recommended to minimize fecal material and provide clearer visualization of the urinary tract and abnormalities