Literature DB >> 22146973

Pulmonary masses: initial results of cone-beam CT guidance with needle planning software for percutaneous lung biopsy.

Sicco J Braak1, Gerarda J M Herder, Johannes P M van Heesewijk, Marco J L van Strijen.   

Abstract

PURPOSE: To evaluate the outcome of percutaneous lung biopsy (PLB) findings using cone-beam computed tomographic (CT) guidance (CBCT guidance) and compared to conventional biopsy guidance techniques.
METHODS: CBCT guidance is a stereotactic technique for needle interventions, combining 3D soft-tissue cone-beam CT, needle planning software, and real-time fluoroscopy. Between March 2007 and August 2010, we performed 84 Tru-Cut PLBs, where bronchoscopy did not provide histopathologic diagnosis. Mean patient age was 64.6 (range 24-85) years; 57 patients were men, and 25 were women. Records were prospectively collected for calculating sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. We also registered fluoroscopy time, room time, interventional time, dose-area product (DAP), and complications. Procedures were divided into subgroups (e.g., location, size, operator).
RESULTS: Mean lesion diameter was 32.5 (range 3.0-93.0) mm, and the mean number of samples per biopsy procedure was 3.2 (range 1-7). Mean fluoroscopy time was 161 (range 104-551) s, room time was 34 (range 15-79) min, mean DAP value was 25.9 (range 3.9-80.5) Gy·cm(-2), and interventional time was 18 (range 5-65) min. Of 84 lesions, 70 were malignant (83.3%) and 14 were benign (16.7%). Seven (8.3%) of the biopsy samples were nondiagnostic. All nondiagnostic biopsied lesions proved to be malignant during surgical resection. The outcome for sensitivity, specificity, positive predictive value, negative predictive value, and accuracy was 90% (95% confidence interval [CI] 86-96), 100% (95% CI 82-100), 100% (95% CI 96-100), 66.7% (95% CI 55-83), and 91.7% (95% CI 86-96), respectively. Sixteen patients (19%) had minor and 2 (2.4%) had major complications.
CONCLUSION: CBCT guidance is an effective method for PLB, with results comparable to CT/CT fluoroscopy guidance.

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Mesh:

Year:  2011        PMID: 22146973     DOI: 10.1007/s00270-011-0302-z

Source DB:  PubMed          Journal:  Cardiovasc Intervent Radiol        ISSN: 0174-1551            Impact factor:   2.740


  24 in total

1.  Radiation exposure of the interventional radiologist during percutaneous biopsy using a multiaxis interventional C-arm CT system with 3D laser guidance: a phantom study.

Authors:  Nils Rathmann; Michael Kostrzewa; Kerim Kara; Soenke Bartling; Holger Haubenreisser; Stefan O Schoenberg; Steffen J Diehl
Journal:  Br J Radiol       Date:  2015-09-15       Impact factor: 3.039

2.  Where are we on (preventing) pneumothorax after (cone-beam) computed tomography-guided lung biopsy?

Authors:  Myrthe M Vestering; Sicco J Braak
Journal:  J Thorac Dis       Date:  2015-09       Impact factor: 2.895

3.  C-Arm Cone-Beam CT Virtual Navigation-Guided Percutaneous Mediastinal Mass Biopsy: Diagnostic Accuracy and Complications.

Authors:  Hyungjin Kim; Chang Min Park; Sang Min Lee; Jin Mo Goo
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

4.  Comparison of cone-beam CT-guided and CT fluoroscopy-guided transthoracic needle biopsy of lung nodules.

Authors:  Nicola Rotolo; Chiara Floridi; Andrea Imperatori; Federico Fontana; Anna Maria Ierardi; Monica Mangini; Veronica Arlant; Giuseppe De Marchi; Raffaele Novario; Lorenzo Dominioni; Carlo Fugazzola; Gianpaolo Carrafiello
Journal:  Eur Radiol       Date:  2015-06-06       Impact factor: 5.315

Review 5.  The Society for Translational Medicine: indications and methods of percutaneous transthoracic needle biopsy for diagnosis of lung cancer.

Authors:  Qinghua Zhou; Jingsi Dong; Jie He; Deruo Liu; David H Tian; Shugeng Gao; Shanqing Li; Lunxu Liu; Jianxing He; Yunchao Huang; Shidong Xu; Weimin Mao; Qunyou Tan; Chun Chen; Xiaofei Li; Zhu Zhang; Gening Jiang; Lin Xu; Lanjun Zhang; Jianhua Fu; Hui Li; Qun Wang; Lijie Tan; Danqing Li; Qinghua Zhou; Xiangning Fu; Zhongmin Jiang; Haiquan Chen; Wentao Fang; Xun Zhang; Yin Li; Ti Tong; Zhentao Yu; Yongyu Liu; Xiuyi Zhi; Tiansheng Yan; Xingyi Zhang; Roberto F Casal; Eugenio Pompeo; Angelo Carretta; Marc Riquet; Ottavio Rena; Pierre-Emmanuel Falcoz; Hisashi Saji; Ali Zamir Khan; Jose Luis Danguilan; Diego Gonzalez-Rivas; Nicolas Guibert; Chengchu Zhu; Jianfei Shen
Journal:  J Thorac Dis       Date:  2018-09       Impact factor: 2.895

6.  Rapid needle-out patient-rollover approach after cone beam CT-guided lung biopsy: effect on pneumothorax rate in 1,191 consecutive patients.

Authors:  Jung Im Kim; Chang Min Park; Sang Min Lee; Jin Mo Goo
Journal:  Eur Radiol       Date:  2015-02-01       Impact factor: 5.315

7.  Percutaneous transthoracic needle biopsy of small (≤ 1 cm) lung nodules under C-arm cone-beam CT virtual navigation guidance.

Authors:  Ji Yung Choo; Chang Min Park; Nyoung Keun Lee; Sang Min Lee; Hyun-Ju Lee; Jin Mo Goo
Journal:  Eur Radiol       Date:  2012-09-14       Impact factor: 5.315

8.  Percutaneous lung biopsy: comparison between an augmented reality CT navigation system and standard CT-guided technique.

Authors:  R F Grasso; E Faiella; G Luppi; E Schena; F Giurazza; R Del Vescovo; F D'Agostino; R L Cazzato; B Beomonte Zobel
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-02-03       Impact factor: 2.924

9.  Target visibility enhancement for C-arm cone beam CT-fluoroscopy-guided hepatic needle placement: implementation and accuracy evaluation.

Authors:  Mengjiao Wang; Hui Ding; Xiaodong Wang; Guangzhi Wang
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-16       Impact factor: 2.924

10.  Prospective Randomized Trial for Image-Guided Biopsy Using Cone-Beam CT Navigation Compared with Conventional CT.

Authors:  Nadine Abi-Jaoudeh; Teresa Fisher; John Jacobus; Marlene Skopec; Alessandro Radaelli; Imramsjah Martijn Van Der Bom; Robert Wesley; Bradford J Wood
Journal:  J Vasc Interv Radiol       Date:  2016-07-25       Impact factor: 3.464

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