AIMS: To determine the sensitivity and specificity of 99mTc-Infecton (Infecton), a novel ciprofloxacin based imaging agent, in detecting sites of infection. METHODS: Ninety patients thought to be suffering from a variety of infections were administered 300-400 MBq of Infecton intravenously. Whole body images were taken one and four hours later. Appropriate specimens were taken for microbiological investigations. Statistical analysis was performed using a computer statistical package. RESULTS: Ninety eight Infecton images were produced. Forty one of these were positive, including three false positives, where the patients had non-infective conditions. Fifty seven negative images were obtained, of which 41 were true negatives and 16 were false negatives, having definite evidence of infection. Thus, Infecton imaging has a sensitivity of 70.3% and a specificity of 93.1% for detecting infective foci. The positive and negative predictive values were 92.6% and 71.9%, respectively. CONCLUSION: Infecton imaging is a new diagnostic tool that is specific for detecting sites of bacterial infection in the body. The high positive predictive value displayed by the technique is clinically important because a positive image strongly supports a diagnosis of bacterial infection. A negative result does not rule out an infection, and may be a result of previous or current antibiotic treatment and/or infection with organisms that do not take up Infecton. Infecton imaging has major advantages over well established imaging techniques, including radiolabelled leucocytes, and may prove to be a superior method for localising bacterial infections.
AIMS: To determine the sensitivity and specificity of 99mTc-Infecton (Infecton), a novel ciprofloxacin based imaging agent, in detecting sites of infection. METHODS: Ninety patients thought to be suffering from a variety of infections were administered 300-400 MBq of Infecton intravenously. Whole body images were taken one and four hours later. Appropriate specimens were taken for microbiological investigations. Statistical analysis was performed using a computer statistical package. RESULTS: Ninety eight Infecton images were produced. Forty one of these were positive, including three false positives, where the patients had non-infective conditions. Fifty seven negative images were obtained, of which 41 were true negatives and 16 were false negatives, having definite evidence of infection. Thus, Infecton imaging has a sensitivity of 70.3% and a specificity of 93.1% for detecting infective foci. The positive and negative predictive values were 92.6% and 71.9%, respectively. CONCLUSION: Infecton imaging is a new diagnostic tool that is specific for detecting sites of bacterial infection in the body. The high positive predictive value displayed by the technique is clinically important because a positive image strongly supports a diagnosis of bacterial infection. A negative result does not rule out an infection, and may be a result of previous or current antibiotic treatment and/or infection with organisms that do not take up Infecton. Infecton imaging has major advantages over well established imaging techniques, including radiolabelled leucocytes, and may prove to be a superior method for localising bacterial infections.
Authors: A J Fischman; R H Rubin; J A White; E Locke; R A Wilkinson; M Nedelman; R J Callahan; B A Khaw; H W Strauss Journal: J Nucl Med Date: 1990-07 Impact factor: 10.057
Authors: S Vinjamuri; A V Hall; K K Solanki; J Bomanji; Q Siraj; E O'Shaughnessy; S S Das; K E Britton Journal: Lancet Date: 1996-01-27 Impact factor: 79.321
Authors: K E Britton; D W Wareham; S S Das; K K Solanki; H Amaral; A Bhatnagar; A H S Katamihardja; J Malamitsi; H M Moustafa; V E Soroa; F X Sundram; A K Padhy Journal: J Clin Pathol Date: 2002-11 Impact factor: 3.411