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All Journal Jurnal Imejing Diagnostik Medica Hospitalia Jurnal Ilmu Kesehatan
Beni, Muhammad
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Kesesuaian Hasil Pemeriksaan Computed Tomography (CT) Scan Abdomen Kontras dengan Hasil Pemeriksaan Histopatologi (Studi pada Pasien dengan Keganasan Kolorektal): Suitability Computed Tomography (CT) Scan Abdomen Contrast Results with Histopathological Examination Results (Studies in patients with colorectal malignancies) Beni, Muhammad; Nuriya Widyasari, Maya; Eka Listiana, Devia; Yuliastuti, Titik
Medica Hospitalia : Journal of Clinical Medicine Vol. 9 No. 2 (2022): Med Hosp
Publisher : RSUP Dr. Kariadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.026 KB) | DOI: 10.36408/mhjcm.v9i2.760

Abstract

Latar belakang : CT Scan abdomen kontras adalah modalitas pencitraan yang sering digunakan pada pasien dengan kecurigaan keganasan kolorektal seperti adenokarsinoma, neuroendocrine tumor (NET), gastrointestinal stromal tumor (GIST) dan limfoma karena mampu menskrining, mendiagnosis sekaligus menilai staging. Ketepatan diagnosis dan staging akan berpengaruh terhadap tatalaksana selanjutnya. Penelitian ini bertujuan untuk mengetahui kesesuaian hasil pemeriksaan CT Scan abdomen kontras dengan hasil pemeriksaan histopatologi mengenai karakteristik, jenis dan staging lokal pada pasien dengan keganasan kolorektal. Metode : Penelitian ini merupakan studi observasional dengan pendekatan cross- sectional. Terdapat 61 subyek penelitian yang dilakukan penilaian karakteristik, jenis dan stagingnya menggunakan CT Scan oleh dua ahli radiologi konsultan abdomen sedangkan pemeriksaan histopatologi dilakukan oleh ahli patologi anatomi konsultan abdomen. Uji diagnostik dan uji kesesuaian dilakukan untuk menganalisis kesesuaian hasil pemeriksan CT Scan dan histopatologi. Hasil : Berdasarkan karakteristik pada CT Scan, 100% sampel termasuk keganasan yang mengarah pada jenis karsinoma, sehingga kesesuaian karakteristik dan jenis tidak dapat dilakukan. Adapun untuk staging (CT Scan) didapatkan T3 57,4% dan T4 42,6%. Pada pemeriksaan histopatologi didapatkan 95,1% adenokarsinoma, 3,3% GIST dan 1,6% limfoma dengan staging pT3 65,6% dan pT4 34,4%. Didapatkan konsistensi dalam penilaian staging lokal antara pemeriksaan CT Scan abdomen kontras dan pemeriksaan histopatologi dengan nilai sensitivitas 82,5%, spesifisitas 90%, nilai prediksi positif 94%, nilai prediksi negatif 73%, tingkat akurasi 85% serta nilai kappa 0,691. Simpulan : CT Scan abdomen kontras dapat digunakan sebagai modalitas pencitraan untuk staging pada pasien keganasan kolorektal dengan konsistensi cukup baik.
Application of Stiching Method in Vertebrae Radiography ExaminationLong Spine for Scoliosis Cases: Case Study at Waled Regional Hospital Imamul Janna, Ahmad; Beni, Muhammad; Casidi, Casidi; Sinaga, Sunita
Jurnal Ilmu Kesehatan (JIKSAN) Vol. 1 No. 1 (2025): Jurnal Ilmu Kesehatan
Publisher : Universitas An Nasher - Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65099/t9ejkz89

Abstract

Background: Scoliosis is a spinal bone deformity characterized by lateral curvature of the vertebral column to the right or left. Long spine vertebrae radiography is a diagnostic examination to detect scoliosis. Purpose: To describe the application of stitching method in long spine vertebrae radiography examination for scoliosis cases at Waled Public Hospital. Method: A descriptive qualitative study on 3 scoliosis patients who underwent long spine vertebrae radiography examination at Waled Public Hospital from June 2024. Data were collected through observation and interviews. Result: The radiography technique used anteroposterior and lateral projections. The stitching method combines radiography results into a single image so the entire vertebrae can be seen. The image was able to assess vertebrae anatomy for scoliosis diagnosis. Conclusion: Long spine vertebrae radiography examination using the stitching method can display the entire vertebrae in a single image, making it easier for radiologists to see and assess vertebrae anatomy for scoliosis diagnosis.
Perancangan Software Dental Panoramic Berbasis Radiografi Digital Menggunakan Algoritma Feature Matching dan Pyramidal Decomposition untuk Menunjang Kemandirian Alat Kesehatan Setiawan, Rudi; Alkhowarizmi, Annas; Beni, Muhammad
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14344

Abstract

Background: Dental panoramic radiography (Orthopantomogram/OPG) is a fundamental modality in dentistry. However, the high cost of imported OPG devices hinders widespread access in Indonesia. To support the national Medical Device Independence program (Kemandirian Alat Kesehatan), a cost-effective solution utilizing standard sensors with advanced software reconstruction is proposed. This study aims to evaluate the performance of a custom-built stitching software using Feature Matching and Pyramidal Decomposition algorithms to reconstruct panoramic images from limited Field of View (FOV) sensors. Methods: This experimental study developed a Python-based imaging pipeline utilizing OpenCV. The process included preprocessing with Contrast Limited Adaptive Histogram Equalization (CLAHE), followed by a comparative analysis of feature detectors: Scale-Invariant Feature Transform (SIFT), Oriented FAST and Rotated BRIEF (ORB), and Accelerated-KAZE (AKAZE). To ensure seamless anatomical transition, image fusion was performed using Pyramidal Decomposition (Multi-band Blending). Performance was measured using Structural Similarity Index (SSIM), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR), and computation time. The dataset consists of digital panoramic images that were segmented into several partial images with an overlap of 20–30% to simulate the acquisition process of a moving sensor in an OPG system. Results: Quantitative evaluation demonstrated distinct performance characteristics. SIFT achieved the highest diagnostic quality with an SSIM of 0.99, PSNR of 38.77 dB, and RMSE of 2.94, proving its superiority in preserving trabecular bone details. ORB provided the fastest processing time at 0.20 seconds but with significantly lower image fidelity (SSIM 0.84, PSNR 26.39 dB). AKAZE showed the lowest performance in this dataset (SSIM 0.75). Conclusions: The integration of SIFT and Pyramidal Decomposition provides a robust software solution for digital panoramic reconstruction, achieving near-perfect structural similarity (0.99). While ORB allows for real-time preview, SIFT is recommended for final diagnostic imaging in low-cost, indigenous dental imaging systems.
Co-Authors Annas Alkhowarizmi Casidi, Casidi Eka Listiana, Devia Imamul Janna, Ahmad Nuriya Widyasari, Maya Rudi Setiawan Sinaga, Sunita Yuliastuti, Titik