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ROLE OF RADIOGRAPHER IN HANDLING COVID-19 AT CT SCAN ROOM DURING PANDEMIC Mardliyyah, Aisyatun; Sensusiati, Anggraini Dwi; Sari, Amilia Kartika
Journal of Vocational Health Studies Vol. 4 No. 2 (2020): November 2020 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V4.I2.2020.83-88

Abstract

Background: Radiographers have a big role in handling COVID-19 during the pandemic. Radiographers not only play an important role in making good diagnostic images, but also in efforts to prevent infection transmission, especially in the CT scan room. Purpose: To compile and summarize role of radiographer in handling COVID-19 at CT scan room during pandemic. Method: The method used is literature study. Sources of data used are observations and summaries of various literature from a collection of journals selected according to predetermined criteria and then presented descriptivel/narratively. Result: Role of radiographer in handling COVID-19 at CT scan room during pandemic from various journals. Conclusion: Role of radiographer includes setting the area and staff, preparing for the examination, conducting the examination, the level of PPE use, cleaning and disinfection methods and treating medical waste.
NEUROLOGIC COMPLICATION IN LUNG ADENOCARCINOMA EFGR MUTATION WITH A CONSOLIDATION-TO-TUMOR-RATIO (CTR) >75% Prasetyo, Firman Adi; Sensusiati, Anggraini Dwi
International Journal of Radiology and Imaging Vol. 2 No. 02 (2023): International Journal of Radiology and Imaging
Publisher : Department of Radiology, Medical Faculty, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776//ub.ijri.2023.002.02.4

Abstract

Lung adenocarcinoma (LAC) accounts for a large proportion of lung cancer subtypes and causes various neurologic complications. This calls for extensive use of CT scans for detecting lung cancer which contains ground glass opacity (GGO). A Consolidation-to-tumor-ratio (CTR) >75% has a worse prognosis in LAC. A male 50-years-old came with paraplegia, complaining suddenly that his legs could not be moved. The patient performed a spine MRI with the result indicating a spinal metastatic process. Furthermore, the Chest X-ray only showed consolidation in the right paracardial area but the chest CT confirmed as lung mass followed by histopathology examination result of LAC with EFGR mutation. After three months, the patient also had multiple cerebral infarcts. We reported one case of LAC EFGR mutation with a CTR of 83%. higher CTR has more invasive adenocarcinomas and also correlated with immunosuppressive conditions compared with a low CTR. The patient was diagnosed lately after a complication of spinal compression. The other neurological complication is multiple cerebral infarcts. The pathogenesis of cancer-associated stroke has not been fully clarified. The pathophysiological mechanisms of these cerebrovascular complications are multifactorial. Other biological markers may also be of interest, including high levels of C-reactive protein (CRP), high levels of fibrinogen, decreased hemoglobin, and hypoalbuminemia. Retrospective studies on acute stroke detected significantly higher levels of fibrinogen and CRP in patients with cryptogenic stroke and occult malignancy. LAC with a CTR >75% is more invasive due to neurologic complications such as spinal metastases and stroke infarction. Keywords: Lung adenocarcinoma, CTR, Stroke, Metastase
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image Rumala, Dewinda Julianensi; Rachmadi, Reza Fuad; Sensusiati, Anggraini Dwi; Purnama, I Ketut Eddy
EMITTER International Journal of Engineering Technology Vol 12 No 2 (2024)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v12i2.853

Abstract

Achieving high accuracy with computational efficiency in brain disease classification from Magnetic Resonance Imaging (MRI) scans is challenging, particularly when both coarse and fine-grained distinctions are crucial. Current deep learning methods often struggle to balance accuracy with computational demands. We propose Lite-FBCN, a novel Lightweight Fast Bilinear Convolutional Network designed to address this issue. Unlike traditional dual-network bilinear models, Lite-FBCN utilizes a single-network architecture, significantly reducing computational load. Lite-FBCN leverages lightweight, pre-trained CNNs fine-tuned to extract relevant features and incorporates a channel reducer layer before bilinear pooling, minimizing feature map dimensionality and resulting in a compact bilinear vector. Extensive evaluations on cross-validation and hold-out data demonstrate that Lite-FBCN not only surpasses baseline CNNs but also outperforms existing bilinear models. Lite-FBCN with MobileNetV1 attains 98.10% accuracy in cross-validation and 69.37% on hold-out data (a 3% improvement over the baseline). UMAP visualizations further confirm its effectiveness in distinguishing closely related brain disease classes. Moreover, its optimal trade-off between performance and computational efficiency positions Lite-FBCN as a promising solution for enhancing diagnostic capabilities in resource-constrained and or real-time clinical environments.
Role of Chest CT Scan to Predict Malignancy on Mediastinal Mass Widyaningrum, Saraswati; Widyoningroem, Anita; Sensusiati, Anggraini Dwi; Kusumastuti, Etty Hary
Global Medical & Health Communication (GMHC) Vol 13, No 1 (2025)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/gmhc.v13i1.14218

Abstract

Mediastinal mass is becoming a global health problem due to high mortality. The heterogeneous mediastinal components make the symptoms of mediastinal mass diverse. CT scans are still the imaging modality for examining mediastinal mass before surgery or other therapies. In this study, we evaluate whether a CT scan could predict the malignancy of mediastinal mass, which is expected to help establish a pre-surgical or pre-biopsy diagnosis. Sixty-two samples were taken consecutively from mediastinal mass patients who came to Dr. Soetomo General Academic Hospital to undergo a CT scan of the thorax with contrast and histopathology examination (core biopsy or open biopsy), which was carried out in the period from December 2019 to March 2024. The results of the CT scan imaging used in this study variable include mass location, mass shape, mass size, infiltration with surrounding organs, attenuation values before contrast administration, after contrast administration, and additional attenuation before and after contrast administration. The CT scan and histopathology results were compared, and multivariate analysis was performed to obtain predictor factors. The location of the mediastinal mass (anterior, medius, posterior), the solid heterogeny component, cystic, calcification, mass shape, organ infiltration, and contrast enhancement value could significantly predict the mediastinal mass's malignancy. If obtained simultaneously, the organ infiltration and contrast enhancement value >20 HU can indicate whether a mediastinal mass is malignant with a specificity of up to 100%.
Role of Chest CT Scan to Predict Malignancy on Mediastinal Mass Widyaningrum, Saraswati; Widyoningroem, Anita; Sensusiati, Anggraini Dwi; Kusumastuti, Etty Hary
Global Medical & Health Communication (GMHC) Vol 13, No 1 (2025)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/gmhc.v13i1.14137

Abstract

Mediastinal mass is becoming a global health problem due to high mortality. The heterogeneous mediastinal components make the symptoms of mediastinal mass diverse. CT scans are still the imaging modality for examining mediastinal mass before surgery or other therapies. In this study, we evaluate whether a CT scan could predict the malignancy of mediastinal mass, which is expected to help establish a pre-surgical or pre-biopsy diagnosis. Sixty-two samples were taken consecutively from mediastinal mass patients who came to Dr. Soetomo General Academic Hospital to undergo a CT scan of the thorax with contrast and histopathology examination (core biopsy or open biopsy), which was carried out in the period from December 2019 to March 2024. The results of the CT scan imaging used in this study variable include mass location, mass shape, mass size, infiltration with surrounding organs, attenuation values before contrast administration, after contrast administration, and additional attenuation before and after contrast administration. The CT scan and histopathology results were compared, and multivariate analysis was performed to obtain predictor factors. The location of the mediastinal mass (anterior, medius, posterior), the solid heterogeny component, cystic, calcification, mass shape, organ infiltration, and contrast enhancement value could significantly predict the mediastinal mass's malignancy. If obtained simultaneously, the organ infiltration and contrast enhancement value >20 HU can indicate whether a mediastinal mass is malignant with a specificity of up to 100%.