Year : 2009 | Volume
: 19 | Issue : 3 | Page : 206--207
Technical note: CT-guided biopsy of lung masses using an automated guiding apparatus
Amarnath Chellathurai, Saneej Kanhirat, Kabilan Chokkappan, Thiruchendur S Swaminathan, Nadhamuni Kulasekaran
Barnard Institute of Radiology, Madras Medical College, Government General Hospital, Chennai- 600 003, India
52, Khanabagh Street, Triplicane, Chennai- 600 005
Automated guiding apparatuses for CT-guided biopsies are now available. We report our experience with an indigenous system to guide lung biopsies. This system gave results similar to those with the manual technique. Automated planning also appears to be technically easier, it requires fewer number of needle passes, consumes less time, and requires fewer number of check scans.
|How to cite this article:|
Chellathurai A, Kanhirat S, Chokkappan K, Swaminathan TS, Kulasekaran N. Technical note: CT-guided biopsy of lung masses using an automated guiding apparatus.Indian J Radiol Imaging 2009;19:206-207
|How to cite this URL:|
Chellathurai A, Kanhirat S, Chokkappan K, Swaminathan TS, Kulasekaran N. Technical note: CT-guided biopsy of lung masses using an automated guiding apparatus. Indian J Radiol Imaging [serial online] 2009 [cited 2021 Jan 28 ];19:206-207
Available from: https://www.ijri.org/text.asp?2009/19/3/206/54883
CT-guided lung biopsy is a usually done manually, using a standard technique. For some years now, automated systems have been available to guide biopsies. , We discuss our experience with a newly developed indigenous system.
We used PIGA-CT (a robotic five-axes guide arm and planning console) designed by Perfint Healthcare Pvt. Ltd. (Chennai, India); it is an automated apparatus that calculates coordinates on DICOM images from a CT scanner and guides the placement of a needle accurately within the body after insertion [Figure 1].
The apparatus consists of an electromechanical guide arm that provides five degrees of freedom, a computer console for receiving CT images and calculating coordinates, and an RS232 interface for data communication between the guide arm and the computer console. Precise 'point of insertion' and 'point of target' are determined from the images and marked. The apparatus is able to accurately position itself by using the movement in five axes. The manipulator aligns the needle guide. The needle is required to enter the body at the 'point of insertion' and to touch the target at the 'point of target' [Figure 2] and [Figure 3].
Of 36 consecutive CT-guided needle biopsies of the chest performed at our institute between 30 th June 2007 and 24 th January 2008, 18 (group I) were performed using manual planning and 18 (group II) with the automated biopsy system. A four-slice CT scanner (Toshiba; DICOM compatible) was used to localize the lesion and to guide needle placement. No cytopathologists were present at the time of biopsy.
Seven (19%) small post-biopsy pneumothoraces complicated the 36 procedures; none of them required placement of a chest tube. Four cases occurred while using the manual method and three during the automated method. In this study, the technical success was 100% with both the methods. Using the manual method, 11 biopsies (61.1%) yielded sufficient tissue for pathologic evaluation whereas, with the automated apparatus, 12 (66.7%) biopsies gave a definitive diagnosis.
We were able to show that the automated system works well and could provide technical and diagnostic success rates similar to those obtained with the manual method. Also, we found that the automated device decreased the number of needle position adjustments and thereby minimized the procedure time. There was no significant difference in the incidence of complications with the two methods.
In our opinion, such automated systems can be extremely useful when the radiologist doing the biopsy has limited experience or when the lesion is situated in difficult locations. Larger trials are required to assess the usefulness and cost-effectiveness of such automated systems in different clinical environments.
Dr. Chithrakala Sukumar, PG trainee in MD (pathology), Madras Medical College, Chennai for helping in data collection from pathology department) and Mrs. Basilea Watson, Biostatistician,Madras Medical College, Chennai for helping in statistical analysis of data.
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