Literature DB >> 30697457

Multi-level otsu method to define metabolic tumor volume in positron emission tomography.

Hyung-Jun Im1,2, Meiyappan Solaiyappan3, Inki Lee1,4, Tyler Bradshaw5, Najat C Daw6, Fariba Navid7,8, Barry L Shulkin9, Steve Y Cho1,10.   

Abstract

This study was to validate reliability and clinical utility of a PET tumor segmentation method using multi-level Otsu (MO-PET) in standard National Electrical Manufacturers Association (NEMA) image quality (IQ) phantom and patients with osteosarcoma. The NEMA IQ phantom was prepared with a lesion-to-background ratio (LBR) of either 8:1, 4:1, or 1.5:1. The artificial lesions in the phantom were segmented using MO-PET, gradient-based method (PETedge), relative threshold methods, and background threshold methods. Metabolic tumor volumes (MTVs) using MO-PET and PETedge were named as MTV (MO-PET) and MTV (PETedge), respectively. Among the MTVs using multiple methods, only MTV (MO-PET) and MTV (PETedge) showed excellent agreements with the actual volume of NEMA IQ phantom across the different LBRs (intraclass correlation coefficient, ICC = 0.987, 0.985 in LBR 8:1, 0.981, 0.993 in LBR 4:1 and 0.947, 0.994 in LBR 1.5:1). Repeated measurements of MTV (MO-PET) of the primary tumors showed excellent reproducibility with ICC of 0.994 (0.989-0.997) in patients with osteosarcoma. Also, MTV (MO-PET) was found to be predictive of Event Free Survival (EFS) [Hazard ratio (95% CI) = 6.1 (2.1-17.2), log rank P = 0.0003] in patients with osteosarcoma. We have validated in NEMA IQ phantom that the MTV (MO-PET) is accurate, and importantly, stable and consistent across a range of lesion sizes and LBRs representative of clinical tumor lesions. Furthermore, MTV (MO-PET) showed excellent reproducibility and was predictive for EFS in patients with osteosarcoma.

Entities:  

Keywords:  18F-fluorodeoxyglucose; Multi-level otsu; metabolic tumor volume; positron emission tomography; segmentation

Year:  2018        PMID: 30697457      PMCID: PMC6334209     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  29 in total

1.  Prediction of tumour necrosis fractions using metabolic and volumetric 18F-FDG PET/CT indices, after one course and at the completion of neoadjuvant chemotherapy, in children and young adults with osteosarcoma.

Authors:  Hyung Jun Im; Tae Sung Kim; Seog-Yun Park; Hye Sook Min; June Hyuk Kim; Hyun Guy Kang; Seung Eun Park; Mi Mi Kwon; Jong Hyung Yoon; Hyeon Jin Park; Seok-ki Kim; Byung-Kiu Park
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-09-28       Impact factor: 9.236

2.  A gradient-based method for segmenting FDG-PET images: methodology and validation.

Authors:  Xavier Geets; John A Lee; Anne Bol; Max Lonneux; Vincent Grégoire
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-03-13       Impact factor: 9.236

3.  Prognostic factors in high-grade osteosarcoma of the extremities or trunk: an analysis of 1,702 patients treated on neoadjuvant cooperative osteosarcoma study group protocols.

Authors:  Stefan S Bielack; Beate Kempf-Bielack; Günter Delling; G Ulrich Exner; Silke Flege; Knut Helmke; Rainer Kotz; Mechthild Salzer-Kuntschik; Matthias Werner; Winfried Winkelmann; Andreas Zoubek; Heribert Jürgens; Kurt Winkler
Journal:  J Clin Oncol       Date:  2002-02-01       Impact factor: 44.544

4.  RT_Image: an open-source tool for investigating PET in radiation oncology.

Authors:  Edward E Graves; Andrew Quon; Billy W Loo
Journal:  Technol Cancer Res Treat       Date:  2007-04

5.  What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom.

Authors:  Maria Werner-Wasik; Arden D Nelson; Walter Choi; Yoshio Arai; Peter F Faulhaber; Patrick Kang; Fabio D Almeida; Ying Xiao; Nitin Ohri; Kristin D Brockway; Jonathan W Piper; Aaron S Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-04-29       Impact factor: 7.038

6.  Effects of image characteristics on performance of tumor delineation methods: a test-retest assessment.

Authors:  Patsuree Cheebsumon; Floris H P van Velden; Maqsood Yaqub; Virginie Frings; Adrianus J de Langen; Otto S Hoekstra; Adriaan A Lammertsma; Ronald Boellaard
Journal:  J Nucl Med       Date:  2011-08-17       Impact factor: 10.057

7.  Prognostic significance of (18)F-FDG and (99m)Tc-methylene diphosphonate uptake in primary osteosarcoma.

Authors:  Christiane Franzius; Stefan Bielack; Silke Flege; Joachim Sciuk; Heribert Jürgens; Otmar Schober
Journal:  J Nucl Med       Date:  2002-08       Impact factor: 10.057

8.  18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate?

Authors:  Kenneth J Biehl; Feng-Ming Kong; Farrokh Dehdashti; Jian-Yue Jin; Sasa Mutic; Issam El Naqa; Barry A Siegel; Jeffrey D Bradley
Journal:  J Nucl Med       Date:  2006-11       Impact factor: 10.057

9.  Prognostic significance of 18F-FDG uptake in primary osteosarcoma after but not before chemotherapy: a possible association with autocrine motility factor/phosphoglucose isomerase expression.

Authors:  Junko Sato; Takashi Yanagawa; Yoh Dobashi; Takehiko Yamaji; Kenji Takagishi; Hideomi Watanabe
Journal:  Clin Exp Metastasis       Date:  2008-02-27       Impact factor: 5.150

10.  18F-FDG PET/CT as an indicator of progression-free and overall survival in osteosarcoma.

Authors:  Colleen M Costelloe; Homer A Macapinlac; John E Madewell; Nancy E Fitzgerald; Osama R Mawlawi; Eric M Rohren; A Kevin Raymond; Valerae O Lewis; Peter M Anderson; Roland L Bassett; Robyn K Harrell; Edith M Marom
Journal:  J Nucl Med       Date:  2009-03       Impact factor: 10.057

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  1 in total

1.  Intelligent Segmentation Medical Assistance System for MRI Images of Osteosarcoma in Developing Countries.

Authors:  Jia Wu; Shun Yang; Fangfang Gou; Zhixun Zhou; Peng Xie; Nuo Xu; Zhehao Dai
Journal:  Comput Math Methods Med       Date:  2022-01-19       Impact factor: 2.238

  1 in total

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