Uji Diagnostik Pemeriksaan Tulang Osteolitik Berbasis Intensitas Citra Digital  

Oleh:

Susilo ; Nagoro, Maesadji Tjokro ; Kusminarto

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI - non-atma jaya
Dalam koleksi: Media Medika Indonesiana vol. 46 no. 01 (Jan. 2012), page 19-24.
Topik: Digital image; bone metastases; osteolytic; optimum cut off point

Ketersediaan

Perpustakaan FK Nomor Panggil: M30.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Diagnostic test of osteolytic bone examination based on digital image intensity Background: The visual examination of bone radiographs using digital computed radiography (CR) is an examination for the diagnosis of bone-metastatic cancer. The subjectivity of interpretation of bone radiographs may lead to doctor’s doubt in making decision to treatment patients with bone-metastatic cancer. Software Matlab-based computer application program makes a standard method to organize the results of bone radiographs. The objective of this study is to develop a software based on Matlab to analyze the diagnostic values, and to determine the optimal of cut off point to diagnose of osteolytic bone. Method: The researches data are collected from Department of Radiology of three hospitals i.e. Dr. Kariadi Hospital Semarang, Dr. Sardjito Hospital and Bethesda Hospital Yogyakarta. This research was carried out during four month from April to August 2009. Radiographs of osteolytic bone interpreted by radiologist were compared with PA examination result of the osteolytic bone which were viewed as the gold standard. The steps in this study i.e. patients are classified as a normal or osteolytic bone patients based on the cut off point that had been determined, calculate the value of the diagnostic test using 2x2 tables, determined the area under the curve (AUC) by the procedure of receiver operating characteristic (ROC), and determined the optimal of cut off point. Result: The results of study show that the diagnostic test for osteolytic bone by using Matlab-based software has sensitivity of 0.88, specificity of 0.891, positive expected value of 0.897, negative expected value of 0.950 and the cut off point at 0.93, while, the value of area under the curve (AUC) is 94% (95% CI: 89.7%-98.3%), and the accuracy is 0.881 for the case of osteolytic bone. Conclusion: Matlab-based software being used for diagnosing osteolytic bone has relatively high sensitivity and specificity.

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