Literature DB >> 23381231

Perfusion evaluation of lung cancer: assessment using dual-input perfusion computed tomography.

Sachiko Nakano1, Junko Gibo, Yasuhiro Fukushima, Kyoichi Kaira, Noriaki Sunaga, Ayako Taketomi-Takahashi, Yoshito Tsushima, Masatomo Mori.   

Abstract

PURPOSE: The aim of this study was to investigate the feasibility of separately evaluating bronchial (BAP) and pulmonary arterial perfusion (PAP) of lung cancers using dual-input perfusion computed tomography.
MATERIALS AND METHODS: Twenty-nine lesions from 28 patients [19 men and 9 women; age, 65.8±11.3 y (mean±SD); range, 39 to 85 y] were included in this study (1 patient had 2 tumors). From computed tomography data, quantitative maps of PAP and BAP were created using the dual-input maximum-slope method. Total blood perfusion (TBP) was defined as the sum of PAP and BAP, and the percentage of PAP to TBP was defined as %PAP. Correlation of these values with tumor size, location, and pathologic type was statistically analyzed.
RESULTS: PAP ranged from 2.0 to 93.1 mL/min/100 mL (mean±SD, 26.8±26.4), BAP was 0 to 65.4 (25.1±19.12), TBP was 20.7 to 132.0 (52.0±29.0), and %PAP was 4% to 100% (48.8%±31.9%). PAP, TBP, and %PAP correlated negatively with tumor size (P<0.05). PAP and %PAP were higher in the peripheral zone than in the central zone (P<0.05). There was significant correlation between pathologic type and the respective perfusion parameters (P>0.05).
CONCLUSIONS: We were successful in separating the dual vascular supply to assess dual-input perfusion of lung cancer. We found perfusion of lung cancers to depend on tumor size and location. Acknowledging and assessing the dual vascular supply in lung perfusion may have clinical implications in the management of lung cancer treatment.

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Year:  2013        PMID: 23381231     DOI: 10.1097/RTI.0b013e318281dcee

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  6 in total

1.  Arterial input function placement effect on computed tomography lung perfusion maps.

Authors:  Laura Jimenez-Juan; Hatem Mehrez; Chris Dey; Shabnam Homampour; Anastasia Oikonomou; Fatima Ursani; Narinder Paul
Journal:  Quant Imaging Med Surg       Date:  2016-02

2.  Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre.

Authors:  Mufeed Arimbrakkunnan; Pawan K Garg; Pushpinder S Khera; Binit Sureka; Poonam Elhence; Puneet Pareek; Nishant Kumar Chauhan; Taruna Yadav
Journal:  Lung India       Date:  2022 May-Jun

Review 3.  Assessing Tumor Response to Treatment in Patients with Lung Cancer Using Dynamic Contrast-Enhanced CT.

Authors:  Louise S Strauch; Rie Ø Eriksen; Michael Sandgaard; Thomas S Kristensen; Michael B Nielsen; Carsten A Lauridsen
Journal:  Diagnostics (Basel)       Date:  2016-07-21

4.  Dual-input tracer kinetic modeling of dynamic contrast-enhanced MRI in thoracic malignancies.

Authors:  Sang Ho Lee; Andreas Rimner; Joseph O Deasy; Margie A Hunt; Neelam Tyagi
Journal:  J Appl Clin Med Phys       Date:  2019-10-11       Impact factor: 2.102

5.  CT perfusion imaging can detect residual lung tumor early after radiofrequency ablation: a preliminary animal study on both tumoral and peri-tumoral region assessment.

Authors:  Zenghui Cheng; Yixue Wang; Min Yuan; Jianxiao Liang; Yanling Feng; Yuxin Shi; Zhiyong Zhang; Fei Shan
Journal:  J Thorac Dis       Date:  2022-01       Impact factor: 2.895

6.  CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow.

Authors:  Alessandro Bevilacqua; Giampaolo Gavelli; Serena Baiocco; Domenico Barone
Journal:  Biomed Res Int       Date:  2018-09-03       Impact factor: 3.411

  6 in total

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