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All Journal Global Medical and Health Communication
Widyaningrum, Saraswati
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Dentistry Health Professions Immunology & microbiology Nursing Public Health

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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%.
Co-Authors KUSUMASTUTI, ETTY HARY Sensusiati, Anggraini Dwi Widyoningroem, Anita