Literature DB >> 30498973

Impact of 90Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization.

Justin K Mikell1, Ravi K Kaza2, Peter L Roberson3, Kelly C Younge3, Ravi N Srinivasa2, Bill S Majdalany2, Kyle C Cuneo3, Dawn Owen3, Theresa Devasia3, Matthew J Schipper3, Yuni K Dewaraja2.   

Abstract

BACKGROUND: The purpose was to validate 90Y PET gradient-based tumor segmentation in phantoms and to evaluate the impact of the segmentation method on reported tumor absorbed dose (AD) and biological effective dose (BED) in 90Y microsphere radioembolization (RE) patients. A semi-automated gradient-based method was applied to phantoms and patient tumors on the 90Y PET with the initial bounding volume for gradient detection determined from a registered diagnostic CT or MR; this PET-based segmentation (PS) was compared with radiologist-defined morphologic segmentation (MS) on CT or MRI. AD and BED volume histogram metrics (D90, D70, mean) were calculated using both segmentations and concordance/correlations were investigated. Spatial concordance was assessed using Dice similarity coefficient (DSC) and mean distance to agreement (MDA). PS was repeated to assess intra-observer variability.
RESULTS: In phantoms, PS demonstrated high accuracy in lesion volumes (within 15%), AD metrics (within 11%), high spatial concordance relative to morphologic segmentation (DSC > 0.86 and MDA < 1.5 mm), and low intra-observer variability (DSC > 0.99, MDA < 0.2 mm, AD/BED metrics within 2%). For patients (58 lesions), spatial concordance between PS and MS was degraded compared to in-phantom (average DSC = 0.54, average MDA = 4.8 mm); the average mean tumor AD was 226 ± 153 and 197 ± 138 Gy, respectively for PS and MS. For patient AD metrics, the best Pearson correlation (r) and concordance correlation coefficient (ccc) between segmentation methods was found for mean AD (r = 0.94, ccc = 0.92), but worsened as the metric approached the minimum dose (for D90, r = 0.77, ccc = 0.69); BED metrics exhibited a similar trend. Patient PS showed low intra-observer variability (average DSC = 0.81, average MDA = 2.2 mm, average AD/BED metrics within 3.0%).
CONCLUSIONS: 90Y PET gradient-based segmentation led to accurate/robust results in phantoms, and showed high concordance with MS for reporting mean tumor AD/BED in patients. However, tumor coverage metrics such as D90 exhibited worse concordance between segmentation methods, highlighting the need to standardize segmentation methods when reporting AD/BED metrics from post-therapy 90Y PET. Estimated differences in reported AD/BED metrics due to segmentation method will be useful for interpreting RE dosimetry results in the literature including tumor response data.

Entities:  

Keywords:  90Y; 90Y PET; Auto-segmentation; Dosimetry; Gradient-based segmentation; Radioembolization; Tumor segmentation

Year:  2018        PMID: 30498973      PMCID: PMC6265358          DOI: 10.1186/s40658-018-0230-y

Source DB:  PubMed          Journal:  EJNMMI Phys        ISSN: 2197-7364


  28 in total

1.  Method for Fast CT/SPECT-Based 3D Monte Carlo Absorbed Dose Computations in Internal Emitter Therapy.

Authors:  S J Wilderman; Y K Dewaraja
Journal:  IEEE Trans Nucl Sci       Date:  2007-02-17       Impact factor: 1.679

Review 2.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

3.  Dosimetry based on 99mTc-macroaggregated albumin SPECT/CT accurately predicts tumor response and survival in hepatocellular carcinoma patients treated with 90Y-loaded glass microspheres: preliminary results.

Authors:  Etienne Garin; Laurence Lenoir; Yan Rolland; Julien Edeline; Habiba Mesbah; Sophie Laffont; Philippe Porée; Bruno Clément; Jean-Luc Raoul; E Boucher
Journal:  J Nucl Med       Date:  2012-02       Impact factor: 10.057

4.  Efficacy and toxicity related to treatment of hepatocellular carcinoma with 90Y-SIR spheres: radiobiologic considerations.

Authors:  Lidia Strigari; Rosa Sciuto; Sandra Rea; Livio Carpanese; Giuseppe Pizzi; Antonella Soriani; Giuseppe Iaccarino; Marcello Benassi; Giuseppe Maria Ettorre; Carlo Ludovico Maini
Journal:  J Nucl Med       Date:  2010-08-18       Impact factor: 10.057

5.  A new internal pair production branching ratio of 90Y: the development of a non-destructive assay for 90Y and 90Sr.

Authors:  R G Selwyn; R J Nickles; B R Thomadsen; L A DeWerd; J A Micka
Journal:  Appl Radiat Isot       Date:  2006-10-11       Impact factor: 1.513

6.  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

7.  Image-guided personalized predictive dosimetry by artery-specific SPECT/CT partition modeling for safe and effective 90Y radioembolization.

Authors:  Yung Hsiang Kao; Andrew Eik Hock Tan; Mark Christiaan Burgmans; Farah Gillian Irani; Li Ser Khoo; Richard Hoau Gong Lo; Kiang Hiong Tay; Bien Soo Tan; Pierce Kah Hoe Chow; David Chee Eng Ng; Anthony Soon Whatt Goh
Journal:  J Nucl Med       Date:  2012-02-17       Impact factor: 10.057

8.  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

9.  Multimodality imaging can predict the metabolic response of unresectable colorectal liver metastases to radioembolization therapy with Yttrium-90 labeled resin microspheres.

Authors:  Patrick Flamen; Bruno Vanderlinden; Philippe Delatte; Ghanem Ghanem; Lieveke Ameye; Marc Van Den Eynde; Alain Hendlisz
Journal:  Phys Med Biol       Date:  2008-10-31       Impact factor: 3.609

10.  Utility of Quantitative Tc-MAA SPECT/CT for yttrium-Labelled Microsphere Treatment Planning: Calculating Vascularized Hepatic Volume and Dosimetric Approach.

Authors:  Etienne Garin; Yan Rolland; Laurence Lenoir; Marc Pracht; Habiba Mesbah; Philippe Porée; Sophie Laffont; Bruno Clement; Jean-Luc Raoul; Eveline Boucher
Journal:  Int J Mol Imaging       Date:  2011-07-28
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  1 in total

1.  Deep Learning Improved Clinical Target Volume Contouring Quality and Efficiency for Postoperative Radiation Therapy in Non-small Cell Lung Cancer.

Authors:  Nan Bi; Jingbo Wang; Tao Zhang; Xinyuan Chen; Wenlong Xia; Junjie Miao; Kunpeng Xu; Linfang Wu; Quanrong Fan; Luhua Wang; Yexiong Li; Zongmei Zhou; Jianrong Dai
Journal:  Front Oncol       Date:  2019-11-13       Impact factor: 6.244

  1 in total

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