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All Journal Jurnal Radiografer Indonesia
Nyoman Supriyani
Academy of Radiodiagnostic and Radiotherapy Techniques Bali, Indonesia
Health Professions

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KARAKTERISTIK SOFT TISSUE TUMOR EKSTREMITAS BERDASARKAN TIME INTENSITY CURVE PADA DYNAMIC CONTRAST ENHANCEMENT - MRI Putu Krisna Ariadi; Kadek Yuda Astina; Nyoman Supriyani
JRI (Jurnal Radiografer Indonesia) Vol. 5 No. 2 (2022): November
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55451/jri.v5i2.138

Abstract

ABSTRACT Background: Perfusion MRI such as Dynamic Contrast Enhancement (DCE) sequences are able to provide detailed structural and metabolic information about tumor tissue, so the diagnostic imaging results can approach histologic diagnosis non-invasively. The purpose of this study was to analyze the relationship between the Time intensity curve (TIC) and the characteristics of soft tissue tumors in the extremities, and also to determine the sensitivity and specificity values. Methods: This research is a descriptive quantitative study using retrospective data. The samples of this study were all patients with soft tissue tumors of the extremities who underwent MRI examination of the extremities at the RIR Installation of Prof. RSUP. Dr. IGNG Ngoerah Denpasar and histopathological examinations were implemented during the period of June 2021-July 2022. Types I-II were associated with benign tumors. Meanwhile, the type of III-V as malignant tumors were compared with the histopathological characteristics of soft tissue tumors. Results: From 30 samples, it was found the result of the spearman rank test was about the relationship between TIC and soft tissue tumor characteristics. It was shown that the p value was 0.014 (p<0.05), and the result of diagnostics test with a 2x2 table obtained a sensitivity value of 89.47% and a specificity of 9.09% Conclusion: Time intensity curve on DCE MRI is able to distinguish the characteristics of soft tissue tumors of the extremities, especially malignancies.
STUDI LITERATUR PERANAN SEKUEN DWI-STIR DAN DWI-SPAIR PADA PENCITRAAN MRI BREAST DENGAN KASUS LESI PAYUDARA Assa Watari Joan; Maghfirotul Iffah; Nyoman Supriyani; I Putu Eka Juliantara; Kadek Yuda Astina
JRI (Jurnal Radiografer Indonesia) Vol. 5 No. 1 (2022)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55451/jri.v5i1.99

Abstract

Background: Breast cancer is the most common case in Indonesia. One of the modalities for detecting breast cancer is MRI. The DWI sequence is one of the sequences used in MRI Breast. In breast DWI, the use of effective fat suppression techniques is essential. Several studies have stated that the most common fat suppression techniques used in breast MRI are STIR and SPAIR, because they are considered capable of optimally displaying lesion images. Signal intensity and image quality depend on fat suppression technique, the choice of method used for breast DWI should be considered, because it can affect lesion identification and ROI for calculating ADC used to differentiate benign and malignant lesions. Methods: This study is a literature review study with descriptive qualitative research type. Collect and analyze library sources from several published data. After being reduced based on the topic, 6 main relevant articles were found to be used as a basis to review, describing and discussing the results according to the topic and then criticizing according to the author's view and determining conclusions. Results: The results of this study showed that DWI-STIR and DWI-SPAIR on MRI Breast imaging have use in suppressing fat and can show the difference between benign and malignant lesions of the breast. With the difference in DWI-SPAIR, the results of SNR and CNR are higher, and DWI-STIR, the results are more homogeneous. Conclusion: DWI-STIR and DWI-SPAIR can suppress fat and differentiate lesions well. DWI-SPAIR is better for lesion visibility on high-tesla MRI, and DWI-STIR is better for low-tesla MRI.
Co-Authors Assa Watari Joan I Putu Eka Juliantara Kadek Yuda Astina Maghfirotul Iffah Putu Krisna Ariadi