18F-FDG PET/CT 융합영상에서 영상 재구성 차이에 의한 MTV (Metabolic tumor volume) 평가
Evaluation of metabolic tumor volume using different image reconstruction on 18F-FDG PET/CT fusion image
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FDG PET 영상에서 MTV는 종양의 전체 대사정도를 반영하여 종양의 체적을 나타낸다. 하지만 MTV는 영상재구성의 영향을 받게 된다. 본 연구의 목적은 팬텀실험을 통하여 영상재구성에 따라 SUVmax의 역치 값을 달리하여 실제 체적과 MTV의 상관관계를 평가해보고자 하였다. NEMA IEC Body 팬텀에 18F-FDG를 구와 배후 방사능의 비율(4:1, 8:1, 10:1, 20:1)이 되도록 주입 후 영상을 획득하였다. 획득한 영상에 4가지 방법(OSEM3D, OSEM3D+PSF, OSEM3D+TOF, OSEM3D+TOF+PSF)으로 영상을 재구성한 후 다양한 SUVmax 역치 값을 적용하여 MTV의 변화를 비교해 보았다. 전반적으로 SUVmax 역치 값이 증가 할수록 MTV가 감소하였으며, 구와 배후방사능 비율이 증가할수록 동일한 SUVmax 역치 값에서 MTV가 감소하였다. PSF와 TOF+PSF재구성영상에서 40% 역치 값, OSEM3D와 TOF 재구성 영상에서는 45% 역치 값을 적용하였을 때 팬텀의 실제체적과 MTV의 높은 상관관계를 보였다. 이번 연구결과를 통하여 영상재구성에 따라 MTV 측정에 기초적인 자료로 제공되어 질 것으로 사료된다.
Abstract
Recently, MTV(metabolic tumor volume) has been used as indices of the whole tumor FDG uptake on FDG PET image but it is influenced by image reconstruction. The purpose of this study was to evaluate the correlation between actual volume and metabolic tumor volume applying different SUVmax threshold for different reconstruction algorithm on phantom study. Measurement were performed on a Siemens Biograph mCT40 using a NEMA IEC body phantom containing different size six spheres filled with F18-FDG applying four SBRs (4:1, 8:1, 10:1, 20:1). Images reconstructed four algorithms (OSEM3D, OSEM3D+PSF, OSEM3D +TOF, OSEM3D+TOF+PSF) and MTV were measured with different SUVmax threshold. Overall, the use of increasing thresholds result in decreasing MTV. and increasing the signal to background ratio decreased MTV by applying same SUVmax threshold. The 40% SUVmax threshold gave the best concordance between measured and actual volume in PSF and PSF+TOF reconstruction image. and the 45% threshold had the best correlation between the volume measured and actual volume in OSEM3D and TOF reconstruction image. we believe that this study will be used when the measurement of MTV applying various reconstruction image.
참고문헌 (18)
- Ben-Haim S, "Ell P. 18F-FDG PET and PET", CT in the evaluation of cancer treatment response, 2009, pp.50(1), 88~99
- Israel O, "Early detection of cancer recurrence:18F-FDG PET", CT can make a difference in diagnosis and patient care, 2007, pp.48(1), 28~35
- 김갑중, "양전자방출전산화단층촬영 검사에서 유방 질환 환자를 검사하기 위해 유리섬유강화플라스틱을 이용한 유방 틀의 제작 및 유용성", 한국융합학회논문지, 8(9), pp.175~181 (2017), 한국융합학회[DOI]
- Thie JA, "Understanding the standardized uptake value, its methods and implications for usage", J Nucl Med, 45(9), pp.1431~1464 (2004)
- Higashi K, "18F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non-small cell lung cacer", J Nucl Med, 43(1), pp.39~45 (2004)
- Wahl RL, "From RECIST to PRECIST: Evolving considerations for PET response criteria in solid tumors", J Nucl Med, 50(Suppl 1), pp.122S~1150S (2009)
- Tomoka Kitao, "Reproducibility and uptake time dependency of volume-based parameters on FDG-PET for lung cancer", BMC Cancer, 16, pp.576~ (2016)
- Sridhar P1, "FDG PET Metabolic Tumor Volume Segmentation and Pathologic Volume of Primary Human Solid Tumors", AJR Am J Roentgenol, 202(5), pp.1114~1119 (2014)
- Liao S, "Prognostic value of the quantitative metabolic volumetric measurement on 18 F-FDG PET", CT in Stage IV nonsurgical small-cell lung cancer, 2012, pp.19(1), 69~77
- Chen HH, "Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET", CT in non-small cell lung cancer, 2012, pp.264(2), 559~566
- Ryu IS, "Prognostic value of preoperative metabolic tumor volume and total lesion glycolysis measured by 18F-FDG PET", CT in salivary gland carcinomas, 2013, pp.54(7), 1032~1038
- Prieto E, "Impact of time-of-flight and point-spread-function in SUV quantification for oncological PET", Clin Nucl Med, 38(2), pp.103~109 (2013)
- Knäusl B, "PET based volume segmentation with emphasis on the iterative TrueX algorithm", Z Med Phys, 22(1), pp.29~39 (2012)
- Knäusl B, "Influence of PET reconstruction parameters on the TrueX algorithm. A combined phantom and patient study", Nuklearmedizin, 52(1), pp.28~35 (2013)
- Julian MM Rogasch, "The influence of different signal to background ratios on spatial resolution and F18-FDG-PET quantification using point spread function and time of flight reconstruction", EJNMMI Physics, 1(1), pp.12~ (2014)
- Hoetjes NJ, "Partial volume correction strategies for quantitative FDG PET in oncology", Eur J Nucl Med Mol Imaging, 37(9), pp.1679~1687 (2010)
- Soret M, "Partial volume effect in PET tumor imaging", J Nucl Med, 48(6), pp.932~945 (2007)
- M. Meignan, "Metabolic tumor volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients", Eur J Nucl Med, 41(6), pp.1113~1122 (2014)