Literature DB >> 24755533

Variability of target and normal structure delineation using multimodality imaging for radiation therapy of pancreatic cancer.

Entesar Dalah1, Ion Moraru1, Eric Paulson2, Beth Erickson1, X Allen Li3.   

Abstract

PURPOSE: To explore the potential of multimodality imaging (dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI], apparent diffusion-coefficient diffusion-weighted imaging [ADC-DWI], fluorodeoxyglucose positron emission tomography [FDG-PET], and computed tomography) to define the gross tumor volume (GTV) and organs at risk in radiation therapy planning for pancreatic cancer. Delineated volumetric changes of DCE-MRI, ADC-DWI, and FDG-PET were assessed in comparison with the finding on 3-dimensional/4-dimensional CT with and without intravenous contrast, and with pathology specimens for resectable and borderline resectable cases of pancreatic cancer. METHODS AND MATERIALS: We studied a total of 19 representative patients, whose DCE-MRI, ADC-DWI, and FDG-PET data were reviewed. Gross tumor volume and tumor burden/active region inside pancreatic head/neck or body were delineated on MRI (denoted GTVDCE, and GTVADC), a standardized uptake value (SUV) of 2.5, 40%SUVmax, and 50%SUVmax on FDG-PET (GTV2.5, GTV40%, and GTV50%). Volumes of the pancreas, duodenum, stomach, liver, and kidneys were contoured according to CT (VCT), T1-weighted MRI (VT1), and T2-weighted MRI (VT2) for 7 patients.
RESULTS: Significant statistical differences were found between the GTVs from DCE-MRI, ADC-DW, and FDG-PET, with a mean and range of 4.73 (1.00-9.79), 14.52 (3.21-25.49), 22.04 (1.00-45.69), 19.10 (4.84-45.59), and 9.80 (0.32-35.21) cm(3) for GTVDCE, GTVADC, GTV2.5, GTV40%, and GTV50%, respectively. The mean difference and range in the measurements of maximum dimension of tumor on DCE-MRI, ADC-DW, SUV2.5, 40%SUVmax, and 50%SUVmax compared with pathologic specimens were -0.84 (-2.24 to 0.9), 0.41 (-0.15 to 2.3), 0.58 (-1.41 to 3.69), 0.66 (-0.67 to 1.32), and 0.15 (-1.53 to 2.38) cm, respectively. The T1- and T2-based volumes for pancreas, duodenum, stomach, and liver were generally smaller compared with those from CT, except for the kidneys.
CONCLUSIONS: Differences exists between DCE-, ADC-, and FDG-PET-defined target volumes for RT of pancreatic cancer. Organ at risk volumes based on MRI are generally smaller than those based on CT. Further studies combined with pathologic specimens are required to identify the optimal imaging modality or sequence to define GTV.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24755533     DOI: 10.1016/j.ijrobp.2014.02.035

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  9 in total

Review 1.  Stereotactic body radiotherapy for renal cell cancer and pancreatic cancer : Literature review and practice recommendations of the DEGRO Working Group on Stereotactic Radiotherapy.

Authors:  Cédric Panje; Nikolaus Andratschke; Thomas B Brunner; Maximilian Niyazi; Matthias Guckenberger
Journal:  Strahlenther Onkol       Date:  2016-10-24       Impact factor: 3.621

2.  Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks.

Authors:  Yuhua Chen; Dan Ruan; Jiayu Xiao; Lixia Wang; Bin Sun; Rola Saouaf; Wensha Yang; Debiao Li; Zhaoyang Fan
Journal:  Med Phys       Date:  2020-08-30       Impact factor: 4.071

Review 3.  Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.

Authors:  Michael V Sherer; Diana Lin; Sharif Elguindi; Simon Duke; Li-Tee Tan; Jon Cacicedo; Max Dahele; Erin F Gillespie
Journal:  Radiother Oncol       Date:  2021-05-11       Impact factor: 6.901

Review 4.  Functional imaging for radiotherapy treatment planning: current status and future directions-a review.

Authors:  D Thorwarth
Journal:  Br J Radiol       Date:  2015-04-01       Impact factor: 3.039

5.  Considerable interobserver variation in delineation of pancreatic cancer on 3DCT and 4DCT: a multi-institutional study.

Authors:  Eva Versteijne; Oliver J Gurney-Champion; Astrid van der Horst; Eelco Lens; M Willemijn Kolff; Jeroen Buijsen; Gati Ebrahimi; Karen J Neelis; Coen R N Rasch; Jaap Stoker; Marcel van Herk; Arjan Bel; Geertjan van Tienhoven
Journal:  Radiat Oncol       Date:  2017-03-23       Impact factor: 3.481

6.  Conformity analysis to demonstrate reproducibility of target volumes for Margin-Intense Stereotactic Radiotherapy for borderline-resectable pancreatic cancer.

Authors:  Daniel L P Holyoake; Maxwell Robinson; Derek Grose; David McIntosh; David Sebag-Montefiore; Ganesh Radhakrishna; Neel Patel; Mike Partridge; Somnath Mukherjee; Maria A Hawkins
Journal:  Radiother Oncol       Date:  2016-08-09       Impact factor: 6.280

7.  Correlation of ADC With Pathological Treatment Response for Radiation Therapy of Pancreatic Cancer.

Authors:  Entesar Dalah; Beth Erickson; Kiyoko Oshima; Diane Schott; William A Hall; Eric Paulson; An Tai; Paul Knechtges; X Allen Li
Journal:  Transl Oncol       Date:  2018-02-20       Impact factor: 4.243

Review 8.  Quantitative imaging for radiotherapy purposes.

Authors:  Oliver J Gurney-Champion; Faisal Mahmood; Marcel van Schie; Robert Julian; Ben George; Marielle E P Philippens; Uulke A van der Heide; Daniela Thorwarth; Kathrine R Redalen
Journal:  Radiother Oncol       Date:  2020-02-27       Impact factor: 6.280

Review 9.  Radiomics for liver tumours.

Authors:  Constantin Dreher; Philipp Linde; Judit Boda-Heggemann; Bettina Baessler
Journal:  Strahlenther Onkol       Date:  2020-04-15       Impact factor: 3.621

  9 in total

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