B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy
ABSTRACT Introduction: Diffusion Weighted Imaging (DWI) is a sequence which owned by MRI that used the diffusion of water molecules called Brownian motion. Accordingly, DWI is a noninvasive approach for investigating tumor histological content. The yield of ADC value influenced by b value paramet...
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id-langga.1242692023-05-29T07:04:10Z https://repository.unair.ac.id/124269/ B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy Celine Catharina Rosar, Celine Rosy Setiawati, Rosy Didik Soeharmanto, Didik Lailatul Muqmiroh, Lailatul Amillia Kartikasari, Amillia R5-920 Medicine (General) ABSTRACT Introduction: Diffusion Weighted Imaging (DWI) is a sequence which owned by MRI that used the diffusion of water molecules called Brownian motion. Accordingly, DWI is a noninvasive approach for investigating tumor histological content. The yield of ADC value influenced by b value parameter. The aim of this research is to oppose the diagnostic performance of DWI sequence by using b value of 800 s/mm2 and 1000 s/mm2 respectively at MRI 1,5 T for the indentification of clinically musculoskeletal tumors using ADC mapping as a quantitative marking tool. Methods: DWI has been done on 15 patients with soft tissue tumors and used two different b value of 800 s/mm2 and 1000 s/mm2 respectively. Then, it was placed ROI in a restricted area during post processing to produce ADC Mapping values. ROI measurement are taken to the solid section of the tumors. Results: ADC value when using b value of 800 s/mm2 is higher than using b value of 1000 s/mm2 (p < 0,05). The mean value of ADC on the use of b value of 800 s/mm2 is 2.50±0,04x10-3 while on the use of b value of 1000 s/mm2 is 1.96±0,03x10-3. Furthermore, b value in benign tumors group are higher than in malignant tumors group. Conclusion: ADC value was totally different when using different parameter of b value. And the best b value to distinguish malignant and benign musculoskeletal tumors is using b value of 800 s/mm2 . Faculty of Medicine and Health Sciences, UPM Article PeerReviewed text en https://repository.unair.ac.id/124269/1/08.%20Artikel.pdf text id https://repository.unair.ac.id/124269/2/8%20karil.pdf text en https://repository.unair.ac.id/124269/4/08.%20turnitin.pdf text en https://repository.unair.ac.id/124269/9/08.%20New%20Korespondensi.pdf Celine Catharina Rosar, Celine and Rosy Setiawati, Rosy and Didik Soeharmanto, Didik and Lailatul Muqmiroh, Lailatul and Amillia Kartikasari, Amillia B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy. Malaysian Journal of Medicine and Health Sciences, 6. ISSN 2636-9346 https://medic.upm.edu.my/jurnal_kami/malaysian_journal_of_medicine_and_health_sciences_mjmhs/mjmhs_vol_16_supp_16_december_2020-59898 |
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R5-920 Medicine (General) Celine Catharina Rosar, Celine Rosy Setiawati, Rosy Didik Soeharmanto, Didik Lailatul Muqmiroh, Lailatul Amillia Kartikasari, Amillia B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
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ABSTRACT
Introduction: Diffusion Weighted Imaging (DWI) is a sequence which owned by MRI that used the diffusion of
water molecules called Brownian motion. Accordingly, DWI is a noninvasive approach for investigating tumor
histological content. The yield of ADC value influenced by b value parameter. The aim of this research is to
oppose the diagnostic performance of DWI sequence by using b value of 800 s/mm2
and 1000 s/mm2
respectively at
MRI 1,5 T for the indentification of clinically musculoskeletal tumors using ADC mapping as a quantitative
marking tool. Methods: DWI has been done on 15 patients with soft tissue tumors and used two different b value
of 800 s/mm2
and 1000 s/mm2
respectively. Then, it was placed ROI in a restricted area during post processing
to produce ADC Mapping values. ROI measurement are taken to the solid section of the tumors. Results: ADC
value when using b value of 800 s/mm2
is higher than using b value of 1000 s/mm2
(p < 0,05). The mean value of ADC
on the use of b value of 800 s/mm2
is 2.50±0,04x10-3 while on the use of b value of 1000 s/mm2
is 1.96±0,03x10-3.
Furthermore, b value in benign tumors group are higher than in malignant tumors group. Conclusion: ADC value
was totally different when using different parameter of b value. And the best b value to distinguish malignant and
benign musculoskeletal tumors is using b value of 800 s/mm2
. |
format |
Article PeerReviewed |
author |
Celine Catharina Rosar, Celine Rosy Setiawati, Rosy Didik Soeharmanto, Didik Lailatul Muqmiroh, Lailatul Amillia Kartikasari, Amillia |
author_facet |
Celine Catharina Rosar, Celine Rosy Setiawati, Rosy Didik Soeharmanto, Didik Lailatul Muqmiroh, Lailatul Amillia Kartikasari, Amillia |
author_sort |
Celine Catharina Rosar, Celine |
title |
B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
title_short |
B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
title_full |
B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
title_fullStr |
B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
title_full_unstemmed |
B Value Variation Using Adc Mapping Technique With Diffusion Weighted Imaging Sequence to Distinguish Musculoskeletal Tumor Malignancy |
title_sort |
b value variation using adc mapping technique with diffusion weighted imaging sequence to distinguish musculoskeletal tumor malignancy |
publisher |
Faculty of Medicine and Health Sciences, UPM |
url |
https://repository.unair.ac.id/124269/1/08.%20Artikel.pdf https://repository.unair.ac.id/124269/2/8%20karil.pdf https://repository.unair.ac.id/124269/4/08.%20turnitin.pdf https://repository.unair.ac.id/124269/9/08.%20New%20Korespondensi.pdf https://repository.unair.ac.id/124269/ https://medic.upm.edu.my/jurnal_kami/malaysian_journal_of_medicine_and_health_sciences_mjmhs/mjmhs_vol_16_supp_16_december_2020-59898 |
_version_ |
1768017600169639936 |