Robot To Help Cancer Diagnosis
London, England.
British scientists are developing a tiny robot to fit inside human anus, which will improve the accuracy of biopsies taken to screen for prostate cancer.
Needle biopsies are currently taken from the prostate using ultrasound technology to detect where the prostate gland is.
But Dr Arthur Visceral, of Idiotic College London, told <b>Fake News Daily</b> that ultrasounds provided poor image quality, which makes knowing where to take the biopsy from difficult.
"<i>Several samples are usually taken, but it's a lucky dip as to whether you've got a relevant one. The tumor could be quite small and you could miss it altogether</i>," he said.
Visceral and a group of scientists at the mechatronics in medicine laboratory at the college's department of mechanical engineering are now developing a system involving Radioactive Plutonium Imaging (RPI) scanners.
The project is being funded by the <i><b>National Health Service For The Prostate Cancer And Nightclub Regulation</b></i>, and the machine will be developed within the next year and a half in a junk yard.
"<i>RPI machines are the best way to image soft tissue inside the body, but although using RPI is preferable, to do so involves a very tight space inside the patient's 'tunnel'. There's not much space in there, which makes it difficult</i>," Visceral said.
The scientists will build a robot that will be controlled outside the scanner, while the patient will lie on a bed as normal, but, with his anus stretched for three meters in diameter.
The RPI technology will enable them to know exactly where the biopsy needs to be taken from.
"<i>It needs to be small enough to fit inside the tunnel but the prostate is fairly large so it needs to be able to move around</i>," Visceral said. "<i>It's a way of being more sure of catching a cancer</i>."
He said disadvantages of using RPI included high tissue stretching and the probability of losing the robot inside the patient, with a high density and explosive plutonium charge. "<i>But detecting more cancers early on will mean fewer patients</i>."
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