Electronic Theses and Dissertation

Kanker memerlukan deteksi dini dan diagnosis akurat untuk meningkatkan prognosis pasien. CT-Scan merupakan modalitas pencitraan non-invasif yang efektif menampilkan morfologi tumor, namun belum dapat menentukan tingkat keganasan pada tingkat seluler sehingga konfirmasi histopatologi tetap menjadi standar emas. Penelitian ini bertujuan menganalisis korelasi antara densitas optik hasil CT-Scan dan temuan histopatologi dalam menentukan tingkat keganasan kanker, menggunakan perangkat lunak Image-J. Data sekunder 10 pasien RSUP Pertamina dianalisis dengan mengukur Mean Gray Value (MGV) area tumor pada CT-Scan, lalu dikorelasikan dengan jenis jaringan, struktur seluler, dan tingkat keganasan hasil histopatologi. Hasil menunjukkan CT-Scan efektif mendeteksi tumor berukuran besar terutama dengan kontras, namun sensitifitas pada lesi kecil (180 cenderung menunjukkan tumor ganas, sedangkan

Cancer requires early detection and accurate diagnosis to improve patient prognosis. Computed Tomography (CT) Scan is a non-invasive imaging modality effective in visualizing tumor morphology; however, it cannot directly determine the degree of malignancy at the cellular level, making histopathological confirmation the gold standard. This study aims to analyze the correlation between optical density measurements from CT Scan images and histopathological findings in determining cancer malignancy levels, using Image-J software. Secondary data from 10 patients at Pertamina Central General Hospital were analyzed by measuring the Mean Gray Value (MGV) of tumor areas on CT Scan images, which were then correlated with tissue type, cellular structure, and malignancy level based on histopathological results. The findings indicate that CT Scan is effective in detecting large tumors, especially when contrast media is used, but less sensitive in identifying small lesions (