Journals / Bağcılar Tıp Bülteni / 2021 / Cilt: 6 - Sayı: 3

The Effectiveness of CT Metal Artifact Reduction Technique and Its Contribution to Radiological Evaluation in Lumbar Stabilization

Lomber Stabilizasyonda BT Metal Artefakt Azaltma Tekniğinin Etkinliği ve Radyolojik Değerlendirmeye Katkısı

Pages
264–270
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

In bone window evaluations of these structures, the visualization scores (median) in standard and SMAR imaging’s were found to be 3 and 4 (Z=-3.926, p

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: Metal artifact reduction (MAR) systems, which have been patented by the firms and specific to them, have been developed to reduce the losses in the images, which are caused by artifacts, and to increase the diagnostic value of computed tomography (CT).
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Key Findings & Data:Method: Patients with spinal stabilization, whose CT imaging records of both standard and smartMAR (SMAR) reconstruction were performed between June 2020 and March 2021 and could be accessed, were evaluated.
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Conclusion & Impact:In bone window evaluations of these structures, the visualization scores (median) in standard and SMAR imaging’s were found to be 3 and 4 (Z=-3.926, p
🔬Design:Research Article
📍Scope:2020 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: Metal artifact reduction (MAR) systems, which have been patented by the firms and specific to them, have been developed to reduce the losses in the images, which are caused by artifacts, and to increase the diagnostic value of computed tomography (CT). The objective of this study is to determine the effectiveness of the MAR technique, which minimizes the image loss caused by metal artifacts in CTs taken for the lumbar spinal region where metallic implants are located, and its contributions to radiological evaluation. Method: Patients with spinal stabilization, whose CT imaging records of both standard and smartMAR (SMAR) reconstruction were performed between June 2020 and March 2021 and could be accessed, were evaluated. Critical anatomical structures were defined as: spinal canal (SC), neural foramen (NF), and prevertebral-paravertebral area (P-PA). The image quality of critical anatomical structures were evaluated using a 5-point image quality scale for soft tissue (400/35 HU) and bone window settings (2.500/480 HU) on standard and SMAR reconstructed CT images. In addition, the size of the flame artifact was measured and recorded in millimeters in standard and SMAR images. Results: Of the 24 patients with lumbar spinal stabilization who met the inclusion criteria, 8 were male, and 16 were female (66%). The age range was determined to be between 26 and 82 years (mean=60). The stabilization of all patients was in the form of posterior transpedicular screw and rod fixation. The radiation dose distribution ranged between 3.23 and 14.1 millisieverts (mSv) (mean=8.95 mSv). The worst visualization score was obtained on SC imaging, which was evaluated in the soft tissue window. In bone window evaluations of these structures, the visualization scores (median) in standard and SMAR imaging’s were found to be 3 and 4 (Z=-3.926, p

Özet

Amaç: Radyolojik görüntülerde artefakta bağlı oluşan kayıpları azaltmak ve çekilen bilgisayarlı tomografinin (BT) tanısal değerini artırmak üzere firmalara özel patentli metal artefaktı azaltma (MAR) sistemleri geliştirilmiştir. Bu çalışmanın amacı, metalik implantların bulunduğu lomber spinal bölgeye yönelik çekilen BT’lerde, metal artefaktından kaynaklanan görüntü kayıplarını minimalize etmeye yarayan MAR tekniğinin etkinliğini ve radyolojik değerlendirmeye katkılarını belirlemektir. Yöntem: Haziran 2020-Mart 2021 tarihleri arasındaki dönemde, spinal stabilizasyonu olan hem standart hem de smartMAR (SMAR) rekonstrüksiyon uygulanmış BT kayıtlarına ulaşılan hastalar değerlendirildi. Kritik anatomik yapılar olarak tanımlanan spinal kanal (SK), nöral foramenler (NF) ve prevertebral-paravertebral alan (P-PA), standart ve SMAR rekonstrüksiyonlu BT görüntülerinde, yumuşak doku (400/35 HU) ve kemik pencere (2,500/480 HU) için 5 puanlı görüntü kalite ölçeği kullanılarak değerlendirildi. Ayrıca, alev artefaktının boyu standart ve SMAR’li görüntülerde milimetre olarak ölçülerek kaydedildi. Bulgular: Çalışmaya dahil edilme kriterlerini karşılayan lomber spinal stabilizasyonlu 24 hastanın, 8’i erkek ve 16’sı kadındı (%66). Yaş aralığı 26-82 yaş arasında (ortalama=60) bulundu. Hastaların hepsinin stabilizasyonu posterior transpediküler vida ve rod fiksasyon şeklindeydi. Radyasyon doz dağılımı 3,23 ile 14,1 milliSievert (mSv) (ortalama=8,95 mSv) arasındaydı. En kötü vizualizasyon skoru yumuşak doku penceresinde değerlendirilen SK görüntülemesinde elde edildi. Bu yapıların kemik pencere değerlendirmelerinde, SK için vizualizasyon skorları (medyan) standart ve SMAR’li görüntülemelerde sırasıyla 3 ve 4 (Z=-3,926, p

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Cite This Article

BAŞ, N. S., BAŞ, S. (2022). The Effectiveness of CT Metal Artifact Reduction Technique and Its Contribution to Radiological Evaluation in Lumbar Stabilization. Bağcılar Tıp Bülteni, Cilt: 6 - Sayı: 3, 264–270. https://ajindex.com/articles/458891

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References (12)

  1. Martin BI, Mirza SK, Spina N, Spiker WR, Lawrence B, Brodke DS. Trends in lumbar fusion procedure rates and associated hospital costs for degenerative spinal diseases in the United States, 2004 to 2015. Spine (Phila Pa 1976) 2019;44(5):369-376
  2. Malhotra A, Kalra VB, Wu X, Grant R, Bronen RA, Abbed KM. Imaging of lumbar spinal surgery complications. Insights Imaging 2015;6(6):579-590
  3. Kotsenas AL, Michalak GJ, DeLone DR, Diehn FE, Grant K, Halaweish AF, et al. CT metal artifact reduction in the spine: can an ıterative reconstruction technique ımprove visualization? AJNR Am J Neuroradiol 2015;36(11):2184-2190
  4. Stradiotti P, Curti A, Castellazzi G, Zerbi A. Metal-related artifacts in instrumented spine. Techniques for reducing artifacts in CT and MRI: state of the art. Eur Spine J 2009;18(Suppl 1):102-108
  5. Wang Y, Qian B, Li B, Qin G, Zhou Z, Qiu Y, et al. Metal artifacts reduction using monochromatic images from spectral CT: evaluation of pedicle screws in patients with scoliosis. Eur J Radiol 2013;82(8):e360-e366. doi: 10.1016/j.ejrad.2013.02.024
  6. Kalender WA, Hebel R, Ebersberger J. Reduction of CT artifacts caused by metallic implants. Radiology 1987;164(2):576-577
  7. Wellenberg RHH, Hakvoort ET, Slump CH, Boomsma MF, Maas M, Streekstra GJ. Metal artifact reduction techniques in musculoskeletal CT-imaging. Eur J Radiol 2018;107:60-69
  8. Khodarahmi I, Isaac A, Fishman EK, Dalili D, Fritz J. Metal about the hip and artifact reduction techniques: from basic concepts to advanced imaging. Semin Musculoskelet Radiol 2019;23(3):e68-e81. doi: 10.1055/s-0039-1687898
  9. Smart Metal Artifact Reduction (SmartMAR), For Legacy software systems Quick Reference Guide Version 1.0, gehealthcare.com 10. Katsura M, Sato J, Akahane M, Kunimatsu A, Abe O. Current and novel techniques for metal artifact reduction at ct: practical guide for radiologists. Radiographics 2018;38(2):450-461
  10. Lee KYG, Cheng HMJ, Chu CY, Tam CWA, Kan WK. Metal artifact reduction by monoenergetic extrapolation of dual-energy CT in patients with metallic implants. J Orthop Surg (Hong Kong) 2019;27(2):2309499019851176. doi: 10.1177/2309499019851176
  11. Aissa J, Thomas C, Sawicki LM, Caspers J, Kröpil P, Antoch G, et al. Iterative metal artefact reduction in CT: can dedicated algorithms improve image quality after spinal instrumentation? Clin Radiol 2017;72(5):428.e7-428.e12. doi: 10.1016/j.crad.2016.12.006
  12. Guggenberger R, Winklhofer S, Osterhoff G, Wanner GA, Fortunati M, A