Literature DB >> 25722446

Feasibility of in situ, high-resolution correlation of tracer uptake with histopathology by quantitative autoradiography of biopsy specimens obtained under 18F-FDG PET/CT guidance.

Louise M Fanchon1, Snjezana Dogan2, Andre L Moreira2, Sean A Carlin3, C Ross Schmidtlein4, Ellen Yorke4, Aditya P Apte4, Irene A Burger5, Jeremy C Durack3, Joseph P Erinjeri3, Majid Maybody3, Heiko Schöder3, Robert H Siegelbaum3, Constantinos T Sofocleous3, Joseph O Deasy4, Stephen B Solomon3, John L Humm4, Assen S Kirov6.   

Abstract

UNLABELLED: Core biopsies obtained using PET/CT guidance contain bound radiotracer and therefore provide information about tracer uptake in situ. Our goal was to develop a method for quantitative autoradiography of biopsy specimens (QABS), to use this method to correlate (18)F-FDG tracer uptake in situ with histopathology findings, and to briefly discuss its potential application.
METHODS: Twenty-seven patients referred for a PET/CT-guided biopsy of (18)F-FDG-avid primary or metastatic lesions in different locations consented to participate in this institutional review board-approved study, which complied with the Health Insurance Portability and Accountability Act. Autoradiography of biopsy specimens obtained using 5 types of needles was performed immediately after extraction. The response of autoradiography imaging plates was calibrated using dummy specimens with known activity obtained using 2 core-biopsy needle sizes. The calibration curves were used to quantify the activity along biopsy specimens obtained with these 2 needles and to calculate the standardized uptake value, SUVARG. Autoradiography images were correlated with histopathologic findings and fused with PET/CT images demonstrating the position of the biopsy needle within the lesion. Logistic regression analysis was performed to search for an SUVARG threshold distinguishing benign from malignant tissue in liver biopsy specimens. Pearson correlation between SUVARG of the whole biopsy specimen and average SUVPET over the voxels intersected by the needle in the fused PET/CT image was calculated.
RESULTS: Activity concentrations were obtained using autoradiography for 20 specimens extracted with 18- and 20-gauge needles. The probability of finding malignancy in a specimen is greater than 50% (95% confidence) if SUVARG is greater than 7.3. For core specimens with preserved shape and orientation and in the absence of motion, one can achieve autoradiography, CT, and PET image registration with spatial accuracy better than 2 mm. The correlation coefficient between the mean specimen SUVARG and SUVPET was 0.66.
CONCLUSION: Performing QABS on core-biopsy specimens obtained using PET/CT guidance enables in situ correlation of (18)F-FDG tracer uptake and histopathology on a millimeter scale. QABS promises to provide useful information for guiding interventional radiology procedures and localized therapies and for in situ high-spatial-resolution validation of radiopharmaceutical uptake.
© 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  PET/CT; autoradiography; biopsy; histopathology; oncology

Mesh:

Substances:

Year:  2015        PMID: 25722446      PMCID: PMC4786005          DOI: 10.2967/jnumed.114.148668

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  22 in total

1.  CERR: a computational environment for radiotherapy research.

Authors:  Joseph O Deasy; Angel I Blanco; Vanessa H Clark
Journal:  Med Phys       Date:  2003-05       Impact factor: 4.071

2.  Efficacy of on-site specimen adequacy evaluation of image-guided fine and core needle biopsies.

Authors:  Gissou Azabdaftari; S Nahum Goldberg; Helen H Wang
Journal:  Acta Cytol       Date:  2010 Mar-Apr       Impact factor: 2.319

3.  Incorporating CT, MR imaging, and positron emission tomography into minimally invasive therapies.

Authors:  Stephen B Solomon
Journal:  J Vasc Interv Radiol       Date:  2005-04       Impact factor: 3.464

Review 4.  Standards for PET image acquisition and quantitative data analysis.

Authors:  Ronald Boellaard
Journal:  J Nucl Med       Date:  2009-04-20       Impact factor: 10.057

5.  Validation of imaging with pathology in laryngeal cancer: accuracy of the registration methodology.

Authors:  Joana Caldas-Magalhaes; Nicolien Kasperts; Nina Kooij; Cornelis A T van den Berg; Chris H J Terhaard; Cornelis P J Raaijmakers; Marielle E P Philippens
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-28       Impact factor: 7.038

6.  PET/CT-guided percutaneous biopsy of abdominal masses: initial experience.

Authors:  Servet Tatli; Victor H Gerbaudo; Christina M Feeley; Paul B Shyn; Kemal Tuncali; Stuart G Silverman
Journal:  J Vasc Interv Radiol       Date:  2011-03-02       Impact factor: 3.464

7.  The impact of coaxial core biopsy guided by FDG PET/CT in oncological patients.

Authors:  Juliano Julio Cerci; Carlos Cunha Pereira Neto; Cassiano Krauzer; Danielle Giacometti Sakamoto; João Vicente Vitola
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-26       Impact factor: 9.236

Review 8.  Biological imaging in radiation therapy: role of positron emission tomography.

Authors:  Ursula Nestle; Wolfgang Weber; Michael Hentschel; Anca-Ligia Grosu
Journal:  Phys Med Biol       Date:  2008-12-05       Impact factor: 3.609

9.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

10.  PET/CT-guided interventions: personnel radiation dose.

Authors:  E Ronan Ryan; Raymond Thornton; Constantinos T Sofocleous; Joseph P Erinjeri; Meier Hsu; Brian Quinn; Lawrence T Dauer; Stephen B Solomon
Journal:  Cardiovasc Intervent Radiol       Date:  2012-11-15       Impact factor: 2.797

View more
  12 in total

Review 1.  Interventional Molecular Imaging.

Authors:  Stephen B Solomon; Francois Cornelis
Journal:  J Nucl Med       Date:  2016-02-11       Impact factor: 10.057

2.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

Review 3.  PET Molecular Imaging-Directed Biopsy: A Review.

Authors:  Baowei Fei; David M Schuster
Journal:  AJR Am J Roentgenol       Date:  2017-05-15       Impact factor: 3.959

4.  Comparison Between CBCT and Fusion PET/CT-CBCT Guidance for Lung Biopsies.

Authors:  Federico Fontana; Filippo Piacentino; Anna Maria Ierardi; Gianpaolo Carrafiello; Andrea Coppola; Alessandra Muollo; Alessandro Beneventi; Chiara Floridi; Andrea Selenito Imperatori; Giulio Carcano; Massimo Venturini
Journal:  Cardiovasc Intervent Radiol       Date:  2020-09-07       Impact factor: 2.740

5.  Ga-68 DOTATOC PET/CT-Guided Biopsy and Cryoablation with Autoradiography of Biopsy Specimen for Treatment of Tumor-Induced Osteomalacia.

Authors:  Majid Maybody; Ravinder K Grewal; John H Healey; Cristina R Antonescu; Louise Fanchon; Sinchun Hwang; Jorge A Carrasquillo; Assen Kirov; Azeez Farooki
Journal:  Cardiovasc Intervent Radiol       Date:  2016-05-05       Impact factor: 2.740

6.  Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.

Authors:  Jibin Zhang; Xuejun Chen; Lijing Fan; Jing Li; Huiling Zhang; Hongkun Yin; Rongguo Zhang
Journal:  Abdom Radiol (NY)       Date:  2022-01-28

Review 7.  Applications and limitations of radiomics.

Authors:  Stephen S F Yip; Hugo J W L Aerts
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

8.  Technical Note: Scintillation well counters and particle counting digital autoradiography devices can be used to detect activities associated with genomic profiling adequacy of biopsy specimens obtained after a low activity 18 F-FDG injection.

Authors:  Assen S Kirov; Louise M Fanchon; Daniel Seiter; Christian Czmielewski; James Russell; Snjezana Dogan; Sean Carlin; Katja Pinker-Domenig; Ellen Yorke; C Ross Schmidtlein; Vitaly Boyko; Sho Fujisawa; Katia Manova-Todorova; Pat Zanzonico; Lawrence Dauer; Joseph O Deasy; John L Humm; Stephen Solomon
Journal:  Med Phys       Date:  2018-03-23       Impact factor: 4.071

9.  Intraperitoneal Glucose Transport to Micrometastasis: A Multimodal In Vivo Imaging Investigation in a Mouse Lymphoma Model.

Authors:  Zsombor Ritter; Katalin Zámbó; Xinkai Jia; Dávid Szöllősi; Dániel Dezső; Hussain Alizadeh; Ildikó Horváth; Nikolett Hegedűs; David Tuch; Kunal Vyas; Péter Balogh; Domokos Máthé; Erzsébet Schmidt
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

Review 10.  The crucial role of multiomic approach in cancer research and clinically relevant outcomes.

Authors:  Miaolong Lu; Xianquan Zhan
Journal:  EPMA J       Date:  2018-02-21       Impact factor: 6.543

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.