Literature DB >> 21273522

Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT.

Yoshiharu Ohno1, Hisanobu Koyama, Keiko Matsumoto, Yumiko Onishi, Daisuke Takenaka, Yasuko Fujisawa, Takeshi Yoshikawa, Minoru Konishi, Yoshimasa Maniwa, Yoshihiro Nishimura, Tomoo Ito, Kazuro Sugimura.   

Abstract

PURPOSE: To prospectively compare the capability of quantitative first-pass perfusion 320-detector row computed tomography (CT) (ie, area-detector CT) with that of combined positron emission tomography and CT (PET/CT) for differentiation between malignant and benign pulmonary nodules.
MATERIALS AND METHODS: This prospective study was approved by the institutional review board, and written informed consent was obtained from 50 consecutive patients with 76 pulmonary nodules. All patients underwent dynamic area-detector CT, PET/CT, and microbacterial and/or histopathologic examinations. All pulmonary nodules were divided into three groups: malignant nodules (n = 43), benign nodules with low biologic activity (n = 6), and benign nodules with high biologic activity (n = 27). For each dynamic area-detector CT data set, the perfusion derived by using the maximum slope model (PF(MS)), extraction fraction derived by using the Patlak plot model (EF(PP)), and blood volume derived by using the Patlak plot model (BV(PP)) were calculated. These parameters were statistically compared among the three nodule groups. Receiver operating characteristic (ROC) analyses were used to compare the diagnostic capability of the CT and PET/CT indexes. Finally, the sensitivity, specificity, and accuracy of each index were compared by using the McNemar test.
RESULTS: All indexes in the malignant nodule group were significantly different from those in the low-biologic-activity benign nodule group (P < .05). Areas under the ROC curve for PF(MS) and EF(PP) were significantly larger than those for BV(PP) (P < .05) and maximal standard uptake value (SUV(max)) (P < .05). The specificity and accuracy of PF(MS) and EF(PP) were significantly higher than those of BV(PP) and SUV(max) (P < .05).
CONCLUSION: Dynamic first-pass area-detector perfusion CT has the potential to be more specific and accurate than PET/CT for differentiating malignant from benign pulmonary nodules. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100245/-/DC1. © RSNA, 2011

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Year:  2011        PMID: 21273522     DOI: 10.1148/radiol.10100245

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  36 in total

1.  (18)F-fluorodeoxyglucose positron emission tomography/computed tomography characterization of solitary pulmonary nodules: can we do better?

Authors:  Ana María García Vicente; Víctor M Pérez-García; Ángel Soriano Castrejón
Journal:  J Thorac Dis       Date:  2015-08       Impact factor: 2.895

2.  Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging.

Authors:  Johan Coolen; Johan Vansteenkiste; Frederik De Keyzer; Herbert Decaluwé; Walter De Wever; Christophe Deroose; Christophe Dooms; Eric Verbeken; Paul De Leyn; Vincent Vandecaveye; Dirk Van Raemdonck; Kristiaan Nackaerts; Steven Dymarkowski; Johny Verschakelen
Journal:  Eur Radiol       Date:  2013-10-31       Impact factor: 5.315

3.  Characterization of solitary pulmonary nodules with 18F-FDG PET/CT relative activity distribution analysis.

Authors:  Liang Zhao; Li Tong; Jie Lin; Kun Tang; SiSi Zheng; WenFeng Li; DeZhi Cheng; WeiWei Yin; XiangWu Zheng
Journal:  Eur Radiol       Date:  2015-02-01       Impact factor: 5.315

4.  Functional CT imaging techniques for the assessment of angiogenesis in lung cancer.

Authors:  Thomas Henzler; Jingyun Shi; Hashim Jafarov; Stefan O Schoenberg; Christian Manegold; Christian Fink; Gerald Schmid-Bindert
Journal:  Transl Lung Cancer Res       Date:  2012-03

Review 5.  Advances in Imaging and Automated Quantification of Malignant Pulmonary Diseases: A State-of-the-Art Review.

Authors:  Bruno Hochhegger; Matheus Zanon; Stephan Altmayer; Gabriel S Pacini; Fernanda Balbinot; Martina Z Francisco; Ruhana Dalla Costa; Guilherme Watte; Marcel Koenigkam Santos; Marcelo C Barros; Diana Penha; Klaus Irion; Edson Marchiori
Journal:  Lung       Date:  2018-10-09       Impact factor: 2.584

Review 6.  Advanced functional thoracic imaging in children: from basic concepts to clinical applications.

Authors:  Hyun Woo Goo
Journal:  Pediatr Radiol       Date:  2013-02-16

7.  The efficacy of 320-detector row computed tomography for the assessment of preoperative pulmonary vasculature of candidates for pulmonary segmentectomy.

Authors:  Shinya Tane; Yoshiharu Ohno; Daisuke Hokka; Hiroyuki Ogawa; Shunsuke Tauchi; Wataru Nishio; Masahiro Yoshimura; Yutaka Okita; Yoshimasa Maniwa
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-09-07

8.  Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer.

Authors:  P Veit-Haibach; D De Ruysscher; W van Elmpt; M Das; Martin Hüllner; H Sharifi; K Zegers; B Reymen; P Lambin; J E Wildberger; E G C Troost
Journal:  Radiother Oncol       Date:  2013-09-14       Impact factor: 6.280

Review 9.  Contrast-enhanced CT- and MRI-based perfusion assessment for pulmonary diseases: basics and clinical applications.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Ho Yun Lee; Sachiko Miura; Takeshi Yoshikawa; Kazuro Sugimura
Journal:  Diagn Interv Radiol       Date:  2016 Sep-Oct       Impact factor: 2.630

10.  Positron emission tomography in the evaluation of pulmonary nodules among patients living in a coccidioidal endemic region.

Authors:  Nathaniel Reyes; Oluwole O Onadeko; Maria Del Carmen Luraschi-Monjagatta; Kenneth S Knox; Margaret A Rennels; Travis Kent Walsh; Neil M Ampel
Journal:  Lung       Date:  2014-05-07       Impact factor: 2.584

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