Literature DB >> 21246200

Protocol modifications for CT perfusion (CTp) examinations of abdomen-pelvic tumors: impact on radiation dose and data processing time.

Avinash R Kambadakone1, Ashish Sharma, Onofrio A Catalano, Peter F Hahn, Dushyant V Sahani.   

Abstract

PURPOSE: To evaluate the effect of CT perfusion (CTp) protocol modifications on quantitative perfusion parameters, radiation dose and data processing time. MATERIALS &
METHODS: CTp datasets of 30 patients (21M:9F) with rectal (n = 24) or retroperitoneal (n = 6) tumours were studied. Standard CTp protocol included 50 sec cine-phase (0.5 sec/rotation) and delayed-phase after 70 ml contrast bolus at 5-7 ml/sec. CTp-data was sub-sampled to generate modified datasets (n = 105) with cine-phase(n = 15) alone, varying cine-phase duration (20-40 sec, n = 45) and varying temporal sampling-interval (1-3 sec, n = 45). The estimated CTp parameters (BF,BV,MTT&PS) and radiation dose of standard CTp served as reference for comparison.
RESULTS: CTp with 50 sec cine-phase showed moderate to high correlation with standard CTp for BF&MTT (r = 0.96&0.85) and low correlation for BV (0.75, p = 0.04). Limiting cine-phase duration to 30 sec demonstrated comparable results for BF&MTT, while considerable variation in CTp values existed at 20 sec. There was moderate-to-high correlation of CTp parameters with sampling interval of 1&2 sec (r = 0.83-0.97, p > 0.05), while at 3 sec only BF showed high correlation (r = 0.96, p = 0.05). Increasing sampling interval (47-60%) and reducing cine-phase duration substantially reduced dose(30.8-65%) which paralleled reduced data processing time (3-10 min).
CONCLUSION: Limiting CTp cine-phase to 30 sec results in comparable BF&MTT values and increasing cine-phase sampling interval to 2 sec provides good correlation for all CTp parameters with substantial dose reduction and improved computational efficiency.

Entities:  

Mesh:

Year:  2011        PMID: 21246200     DOI: 10.1007/s00330-010-2048-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  40 in total

Review 1.  Perfusion CT for the assessment of tumour vascularity: which protocol?

Authors:  K A Miles
Journal:  Br J Radiol       Date:  2003       Impact factor: 3.039

2.  Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy.

Authors:  D Gandhi; D B Chepeha; T Miller; R C Carlos; C R Bradford; R Karamchandani; F Worden; A Eisbruch; T N Teknos; G T Wolf; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

3.  Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: initial observations.

Authors:  Dushyant V Sahani; Sanjeeva P Kalva; Leena M Hamberg; Peter F Hahn; Christopher G Willett; Sanjay Saini; Peter R Mueller; Ting-Yim Lee
Journal:  Radiology       Date:  2005-03       Impact factor: 11.105

4.  Dynamic perfusion CT: optimizing the temporal resolution for the calculation of perfusion CT parameters in stroke patients.

Authors:  Andreas Kämena; Florian Streitparth; Christian Grieser; Lukas Lehmkuhl; Basil Jamil; Katarzyna Wojtal; Jens Ricke; Maciej Pech
Journal:  Eur J Radiol       Date:  2007-03-23       Impact factor: 3.528

5.  Can pretreatment CT perfusion predict response of advanced squamous cell carcinoma of the upper aerodigestive tract treated with induction chemotherapy?

Authors:  A Zima; R Carlos; D Gandhi; I Case; T Teknos; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

6.  Perfusion CT: noninvasive surrogate marker for stratification of pancreatic cancer response to concurrent chemo- and radiation therapy.

Authors:  Mi-Suk Park; Ernst Klotz; Myeong-Jin Kim; Si Young Song; Seung Woo Park; Seung-Whan Cha; Joon Soek Lim; Jinsil Seong; Jae Bok Chung; Ki Whang Kim
Journal:  Radiology       Date:  2008-11-04       Impact factor: 11.105

7.  Hepatocellular carcinoma in cirrhotic liver disease: functional computed tomography with perfusion imaging in the assessment of tumor vascularization.

Authors:  Davide Ippolito; Sandro Sironi; Massimo Pozzi; Laura Antolini; Laura Ratti; Chiara Alberzoni; Eugenio Biagio Leone; Franca Meloni; Maria Grazia Valsecchi; Ferruccio Fazio
Journal:  Acad Radiol       Date:  2008-07       Impact factor: 3.173

8.  Total-liver-volume perfusion CT using 3-D image fusion to improve detection and characterization of liver metastases.

Authors:  Martijn R Meijerink; Jan Hein T M van Waesberghe; Lineke van der Weide; Petrousjka van den Tol; Sybren Meijer; Cornelis van Kuijk
Journal:  Eur Radiol       Date:  2008-05-20       Impact factor: 5.315

9.  Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer.

Authors:  Christopher G Willett; Yves Boucher; Emmanuelle di Tomaso; Dan G Duda; Lance L Munn; Ricky T Tong; Daniel C Chung; Dushyant V Sahani; Sanjeeva P Kalva; Sergey V Kozin; Mari Mino; Kenneth S Cohen; David T Scadden; Alan C Hartford; Alan J Fischman; Jeffrey W Clark; David P Ryan; Andrew X Zhu; Lawrence S Blaszkowsky; Helen X Chen; Paul C Shellito; Gregory Y Lauwers; Rakesh K Jain
Journal:  Nat Med       Date:  2004-01-25       Impact factor: 53.440

10.  Early antiangiogenic activity of bevacizumab evaluated by computed tomography perfusion scan in patients with advanced hepatocellular carcinoma.

Authors:  Andrew X Zhu; Nagaraj S Holalkere; Alona Muzikansky; Kerry Horgan; Dushyant V Sahani
Journal:  Oncologist       Date:  2008-02
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  12 in total

1.  Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors.

Authors:  Chaan S Ng; Adam G Chandler; James C Yao; Delise H Herron; Ella F Anderson; Chusilp Charnsangavej; Brian P Hobbs
Journal:  J Comput Assist Tomogr       Date:  2014 Jul-Aug       Impact factor: 1.826

2.  Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.

Authors:  Chaan S Ng; Brian P Hobbs; Wei Wei; Ella F Anderson; Delise H Herron; James C Yao; Adam G Chandler
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

3.  Metastases to the liver from neuroendocrine tumors: effect of duration of scan acquisition on CT perfusion values.

Authors:  Chaan S Ng; Brian P Hobbs; Adam G Chandler; Ella F Anderson; Delise H Herron; Chusilp Charnsangavej; James Yao
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

Review 4.  Computed tomography perfusion imaging as a potential imaging biomarker of colorectal cancer.

Authors:  Koichi Hayano; Takeshi Fujishiro; Dushyant V Sahani; Asami Satoh; Tomoyoshi Aoyagi; Gaku Ohira; Toru Tochigi; Hisahiro Matsubara; Kiyohiko Shuto
Journal:  World J Gastroenterol       Date:  2014-12-14       Impact factor: 5.742

5.  Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease.

Authors:  Osman Melih Topcuoğlu; Muşturay Karçaaltıncaba; Deniz Akata; Mustafa Nasuh Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

6.  Effect of sampling frequency on perfusion values in perfusion CT of lung tumors.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Razelle Kurzrock; Chusilp Charnsangavej
Journal:  AJR Am J Roentgenol       Date:  2013-02       Impact factor: 3.959

7.  Pancreatic Perfusion CT in Early Stage of Severe Acute Pancreatitis.

Authors:  Yoshihisa Tsuji; Naoki Takahashi; Chiba Tsutomu
Journal:  Int J Inflam       Date:  2012-02-15

8.  Inferring Stable Acquisition Durations for Applications of Perfusion Imaging in Oncology.

Authors:  Brian P Hobbs; Chaan S Ng
Journal:  Cancer Inform       Date:  2015-05-25

9.  A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization.

Authors:  Kassandra M Fronczyk; Michele Guindani; Brian P Hobbs; Chaan S Ng; Marina Vannucci
Journal:  Cancer Inform       Date:  2016-05-29

10.  Study of 320-slice dynamic volume CT perfusion in different pathologic types of kidney tumor: preliminary results.

Authors:  Chao Chen; Qi Liu; Qiang Hao; Bing Xu; Chao Ma; Huojun Zhang; Qianjin Shen; Jianping Lu
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

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