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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Imejing Diagnostik Jurnal Radiografer Indonesia

Nanang Sulaksono, Nanang

Technic of Radiodiagnostic and Radiotherapy Department, Polytechnic Health Ministry of Semarang

Author-ID : 532647

Computer Science & IT Engineering Health Professions Medicine & Pharmacology

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ANALISA PERBEDAAN INFORMASI DIAGNOSTIK CT SCAN KEPALA PADA KASUS STROKE ISKEMIK DENGAN PILIHAN KOMBINASI SLICE THICKNESS DAN INTERVAL RECONSTRUCTION Dwi Yan, Mami; Ardiyanto, Jeffri; Sulaksono, Nanang
JRI (Jurnal Radiografer Indonesia) Vol. 3 No. 1 (2020)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Background: Stroke is a diseas that has a high mortality rate as the third most common disease that causes death in the world. To diagnose the location and type stroke, a neuro imaging examination is need, which is by examining the CT Scan of the head. The purpose of this study was to determine differences in diagnostic information on CT scan of the head in cases of ischemic stroke with a choice combination of 3 mm slice thickness with 1.5 mm interval reconstruction and 2 mm slice thickness with 1 mm interval reconstruction, and to find out which combination is the most optimal in producing diagnostic information in cases of ischemic stroke. Methods: This type of research is quantitative research with experimental approach. The study was conducted at Telogorejo Hospital Semarang. The sampel in this study were 10 patients with expertise results of ischemic stroke. The resultan data was 10 head scan radiographs with ischemic stroke and each radiograph is reformatted with combination of 3 mm slice thickness with 1.5 interval reconstruction and 2 mm slice thickness with 1 mm interval reconstruction. Assesment of diagnostic information data was done by 3 respondents. before data analysis, first kappa test was done to three respondents and then tested wilcoxon. Result :The result of this research is the difference of diagnostic information between combination of 3 mm slice thickness with 1.5 mm interval reconstruction and 2 mm slice thickness with 1 mm interval reconstruction. A combination of 2 mm slice thickness with 1 mm interval reconstruction with mean rank 21.00 is the most optimal combination for head scan with ischemic stroke cases

PERANAN HEART RATE TERHADAP KUALITAS CITRA PADA PEMERIKSAAN CT ANGIOGRAPHY CARDIAC Susanti, Titin; Arinawati, Arinawati; Sulaksono, Nanang
JRI (Jurnal Radiografer Indonesia) Vol. 3 No. 2 (2020)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Background: Cardiac angiography CT examination is a non-invasive measure to evaluate coronary blood vessels. Multislice CT with a high level of sensitivity and specificity is required to be able to reconstruct data from a constantly moving heart, resulting in diagnostic and informative image quality. Heart movement or heart rate plays a role in the occurrence of motion artifacts so that a stable heart rate is required at the time of data acquisition. The purpose of this paper is to see the role of the heart rate in cardiac CT Angiography examination and to determine the value of the heart rate to obtain the best image quality. Methods: The research method uses a literature study approach by describing the article. Article searches use Science Direct, Radiopedia, American Journal Radiography, and Google Search to find articles that match inclusion and exclusion criteria so that 4 articles are obtained and then they are reviewed. Results:: The study results show that the heart rate plays a very important role in producing image quality from CT examination. Cardiac angiography, a stable heart rate will minimize the occurrence of artifacts, which is one of the points in the image quality parameter. A stable heart rate to get the best image quality is at â‰¤60 BPM when data acquisition with low heart rate variability Conclusion: .Nilai heart rate untuk mendapatkan kualitas citra yang informatif dan diagnostik pada nilai heart rate 60 bpm, sehingga kualitas citra akan baik.

PROCEDURE OF MULTI SLICE COMPUTED TOMOGRAPHY (MSCT) THORAX EXAMINATION USING POSITIVE CONTRAST MEDIA WITH BREAST CANCER CASE Janita Limbong, Rosari; Masrochah, Siti; Sulaksono, Nanang
JRI (Jurnal Radiografer Indonesia) Vol. 4 No. 1 (2021)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Background: The protocol for MSCT Thorax examination is axial/coronal/sagittal. The slice thickness parameter has an important role in examining MSCT Thorax in breast cancer cases using contrast media. The thinner the slice thickness, the better the detailed image obtained. The aim of this study is to explain the MSCT Thorax examination procedure in breast cancer cases using positive contrast media, the role of slice thickness in diagnosis and to find out diagnostic information on the MSCT Thorax examination in cancer cases breast. Methods: This type of research is qualitative with a literature study approach. The data were obtained by identifying the problem then looking for keywords, namely MSCT Thorax, Slice thickness, breast cancer. Literature reviews are carried out through journal search engine searches, such as: Google Scholar, American Journal Rontgenology (AJR), Pubmed, Proquest. The collected journals are reduced based on inclusion criteria so that 3 relevant journals are obtained then analyzed descriptively so that they can answer the objectives to be drawn conclusions. Results: The results of a literature study show that the MSCT Thorax examination procedure in cases of breast cancer using contrast media is fasting 6 hours before the examination, laboratory checks (urea cratinin within normal limits), releasing all metals in the body, CT scan plane, fixation tools, blankets. , contrast media, injector set. Conclusion: Contrast media dosage 1-2 ml / kg body weight, flow rate 2-4 ml / s, concentration 300-350 mgl / ml, patient position supine feet first, upper limit of lung Apex and lower limit of diaphragm (depending on needs), axial cut, coronal, sagittal, the parameters used were kV, mAs, slice thickness, matrix, WW, WL. A thin slice thickness will provide more accurate diagnostic information and a clear picture of metastases and small lesions can be seen.

Utilization of convolutional neural network in image interpretation techniques for detecting kidney disease Sulaksono, Nanang; Adi, Kusworo; Isnanto, Rizal
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp602-613

This research is conducted with deep learning for kidney stone disease detection including cysts, stones, normal, and tumors using axial computerized tomography (CT) scan images. The author uses augmentation, generative adversarial networks (GANs), original, and synthetic minority over-sampling technique (SMOTE) to classify kidney disease (cyst, stone, normal, and tumor). This study uses the public dataset nazmul0087 and primary data/data from the hospital, using convolutional neural network (CNN) models, namely augmentation, GANs, original, and SMOTE by training and testing. The results of the accuracy value of the training model (dataset nazmul0087) in the detection of kidney cysts, stones, tumors, and normal. The results of augmentation value are 99.93%, GANs 100%, original 100%, and SMOTE 99.93%. In the results of the training model, a very high accuracy value is obtained, with perfect results. The testing model's accuracy value in detecting kidney cysts, stones, tumors, and normal kidney tissue in the original dataset and hospital data. The results of augmentation value are 11.48%, GANs 17.96%, original 21.76%, and SMOTE 20.41%. In the results of the training model, the highest accuracy value is obtained in the original model. For the testing model to automatically diagnose kidney illness and obtain a high accuracy value, which can enhance patient outcomes and save health care costs, we advise using it in conjunction with the original model.

Prosedur Pemeriksaan MRI Cruris dengan Kontras pada Kasus Tumor Ambarwati, Seli; Sulaksono, Nanang; Jannah, Marichatul
Jurnal Imejing Diagnostik (JImeD) Vol 11, No 1 (2025): JANUARY 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v1i1.12436

Background: This study examines the MRI Cruris contrast examination procedure for tumor cases at Dr. Moewardi Hospital. The hospital's MRI protocol includes sequences such as 3-plane localizer, Sag T1, Sag T2, Ax T1, Ax T2 STIR, Coronal T1, Coronal PD FS, Coronal T2* MERGE, 3D Coronal TRICKS, and post-contrast sequences Sag T1+C, Coronal T1+C, and Ax T1+C. The study aims to analyze the MRI Cruris contrast procedure, the rationale for using 5 ml contrast, and the importance of the Coronal 3D TRICKS sequence.Methods: A qualitative research method with a case study approach was used, involving observation, interviews, and documentation. The data was analyzed and presented in quotations to conclude.Result and Discussion: The MRI procedure begins with patient preparation, including laboratory tests for urea and creatinine levels, fasting for 4–6 hours, and filling out informed consent. Patients are positioned supine with feet first, and an air coil is placed on the leg. The use of 5 ml contrast enhances image quality, improves tumor detection, evaluates blood vessels, shows lesions, and determines tumor location and spread. The Coronal 3D TRICKS sequence provides clear MRA angiography, enabling better visualization of feeding arteries and rapid imaging of major blood vessels within 10 seconds.Conclusion: In conclusion, the MRI Cruris contrast protocol at Dr. Moewardi Hospital ensures high-quality imaging for tumor detection and diagnosis. The 5 ml contrast dose effectively enhances MRI images, and the Coronal 3D TRICKS sequence plays a crucial role in evaluating vascular structures.

Informasi Citra Anatomi CT Scan Kepala pada Kasus Stroke Iskemik dengan Variasi Windowing Putro, Wahyu Murti Cahyo; Sulaksono, Nanang; Wibowo, Ardi Soesilo
Jurnal Imejing Diagnostik (JImeD) Vol 11, No 2 (2025): JULY 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v11i2.13190

Background: Ischemic stroke is a critical condition detectable through head CT scans, where windowing techniques significantly enhance brain tissue visualization. At Bethesda Hospital Yogyakarta, differing windowing protocols are used in the Emergency and Main Radiology Departments, yet no standardized stroke-specific window has been established. This study aims to identify the differences in anatomical information in head CT scans with various windowing settings and to determine the most optimal windowing protocol.Methods: This research is a quantitative-experimental study conducted at Bethesda Hospital Yogyakarta involving 10 patients with ischemic stroke, using variations of windowing settings: WW 120 HU WL 60 HU, WW 100 HU WL 35 HU, and WW 40 HU WL 40 HU. The image results were evaluated by two respondents based on the anatomical information of brain parenchyma, insular cortex, internal capsule, left and right cerebral hemispheres, and brain sulci. The data analysis was performed using the Friedman statistical test.Results: The results of the study showed that the WW 100 HU WL 35 HU setting provided the most informative anatomical visualization across all evaluated brain structures. In contrast, WW 120 HU WL 60 HU was the least informative for the brain parenchyma and insular cortex, while WW 40 HU WL 40 HU offered moderate clarity for most structures but was suboptimal for the brain parenchyma. These differences were confirmed by the Friedman test, with a p-value 0.05.Conclusions: There were differences in anatomical information across the various windowing settings in head CT scan examinations for ischemic stroke cases. In addition, the highest overall and individual anatomical mean rank was found in the WW 100 HU WL 35 HU windowing setting, with a value of 2.95.

Co-Authors Ambarwati, Seli Ardi Soesilo Wibowo, Ardi Soesilo Arinawati, Arinawati Dwi Yan, Mami Janita Limbong, Rosari Jannah, Marichatul Jeffri Ardiyanto Kusworo Adi Putro, Wahyu Murti Cahyo R Rizal Isnanto Siti Masrochah Susanti, Titin

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