Literature DB >> 7493342

Fusion of immunoscintigraphy single photon emission computed tomography (SPECT) with CT of the chest in patients with non-small cell lung cancer.

S Katyal1, E L Kramer, M E Noz, D McCauley, A Chachoua, A Steinfeld.   

Abstract

In non-small cell lung cancer (NSCLC), accurate staging is critical in deciding between potentially curative surgery and palliative treatment. Image registration, or fusion, combines the unique functional information provided by SPECT imaging with the excellent anatomic detail offered by computed tomography (CT) or magnetic resonance imaging to better characterize the information provided by each separate modality. In this study, we explored the role of fusion of immunoscintigraphy SPECT with CT in the staging of NSCLC. We fused chest CT with 99mTc-labeled IMMU-4 anti-carcinoembryonic antigen Fab' antibody fragment SPECT in 14 patients with NSCLC using a landmark-based algorithm. The algorithm's accuracy was a measure from the center-to-center distance and the percentage overlap of two regions of interest: one drawn on CT and warped onto SPECT, the other drawn directly on the SPECT. We found that the average center-to-center distance was 1.3 +/- 0.8 pixels. Average overlap was 46 +/- 20%. CT-SPECT fusion helped differentiate tumor from normal blood pool, necrotic areas within viable tumor, tumor recurrence from scar, and malignant lymphadenopathy from hyperplasia. We conclude that fusion of CT and SPECT augments the information provided by each separate modality. Future clinical applications of fusion in NSCLC staging using immunoscintigraphy appear promising.

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Year:  1995        PMID: 7493342

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  7 in total

1.  A versatile functional-anatomic image fusion method for volume data sets.

Authors:  M E Noz; G Q Maguire; M P Zeleznik; E L Kramer; F Mahmoud; J Crafoord
Journal:  J Med Syst       Date:  2001-10       Impact factor: 4.460

2.  Graphical 3D medical image registration and quantification.

Authors:  E J Farrell; R J Gorniak; E L Kramer; M E Noz; G Q Maguire; D P Reddy
Journal:  J Med Syst       Date:  1997-06       Impact factor: 4.460

3.  Nano-based theranostics for chronic obstructive lung diseases: challenges and therapeutic potential.

Authors:  Neeraj Vij
Journal:  Expert Opin Drug Deliv       Date:  2011-06-28       Impact factor: 6.648

4.  Assessment of regional lung functional impairment with co-registered respiratory-gated ventilation/perfusion SPET-CT images: initial experiences.

Authors:  Kazuyoshi Suga; Kawakami Yasuhiko; Mohammed Zaki; Tomio Yamashita; Aska Seto; Tsuneo Matsumoto; Naofumi Matsunaga
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-02       Impact factor: 9.236

5.  Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA.

Authors:  F L Giesel; A Mehndiratta; J Locklin; M J McAuliffe; S White; P L Choyke; M V Knopp; B J Wood; U Haberkorn; H von Tengg-Kobligk
Journal:  Exp Oncol       Date:  2009-06

6.  Preoperative nodal staging of non-small cell lung cancer using 99mTc-sestamibi spect/ct imaging.

Authors:  Juliana Muniz Miziara; Euclides Timóteo da Rocha; José Elias Abrão Miziara; Gustavo Fabene Garcia; Maria Izilda Previato Simões; Marco Antônio Lopes; Lígia Maria Kerr; Carlos Alberto Buchpiguel
Journal:  Clinics (Sao Paulo)       Date:  2011       Impact factor: 2.365

7.  Preoperative clinical radioimmunodetection of pancreatic cancer by 111 In-labeled chimeric monoclonal antibody Nd2.

Authors:  T Sawada; T Nishihara; A Yamamoto; H Teraoka; Y Yamashita; T Okamura; H Ochi; J J Ho; Y S Kim; K Hirakawa
Journal:  Jpn J Cancer Res       Date:  1999-10
  7 in total

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