PET Scans Predict Effectiveness of Treatment for Multidrug-Resistant Tuberculosis in HIV Patients

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With the deficiencies in knowledge of tuberculosis—as well as in the practices, programs and strategies used to combat the disease and co-infection with human immunodeficiency virus (HIV) - the spread of multidrug-resistant (MDR) tuberculosis poses a major problem for the health care community. Research in the June issue of The Journal of Nuclear Medicine, however, shows that the use of 18F-FDG positron emission tomography (PET) scans can help to determine earlier if treatment for tuberculosis is working or if the disease is MDR.

Tuberculosis and HIV have been linked since the AIDS epidemic began. Approximately 33.2 million people across the world are living with HIV, and an estimated one-third of them are co-infected with tuberculosis. In 2008, the number of MDR tuberculosis cases reached between 390,000-510,000, or 3.6 percent of all incident tuberculosis cases. MDR tuberculosis is very difficult to treat and is often fatal.

“Early detection of drug resistance of tuberculosis allows the initiation of an appropriate treatment, which may significantly affect patient survival. Currently, more than two-thirds of patients with MDR tuberculosis die,” said Mike Sathekge, MD, PhD, lead author of the study “Use of ¹⁸F-FDG PET to Predict Response to First-Line Tuberculostatics in HIV-Associated Tuberculosis.”

In the prospective pilot study, 24 patients with tuberculosis underwent 18F-FDG PET scans prior to receiving tuberculosis treatment-the standard triad: isoniazid, rifampicin and ethambutol. After four months of treatment, the patients received another 18F-FDG scan to measure averaged maximum standardized uptake value (SUVmax)-which measures glucose metabolic activity-derived from early and delayed imaging, percentage change in SUVmax and number of involved lymph node basins.

The researchers found that SUVmax of involved lymph nodes, number of involved lymph node basins and C-reactive protein levels assessed by the PET scan were significantly higher in nonresponders than responders. It was determined that a cutoff of five or more lymph node basins allowed for a separation of treatment responders and nonresponders.

According to Sathekge, ”¹⁸F-FDG PET has the potential to become a valuable clinical adjunct to the already available genotypic and phenotypic tests in patients for whom such tests are not feasible, are inconclusive or are too lengthy to be of clinical relevance.”

Authors of the article “Use of 18F-FDG PET to Predict Response to First-Line Tuberculostatics in HIV-Associated Tuberculosis” include: Mike Sathekge, Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa; Alex Maes, Department of Nuclear Medicine, Groeninge, Kortrijk, Belgium and Department of Morphology and Medical Imaging, University Hospital Leuven, Leuven, Belgium; Mpho Kgomo, Department of Internal Medicine, Louis Pasture Hospital, Pretoria, South Africa; Anton Stoltz, Department of Infectious Diseases, University of Pretoria, South Africa; and Christophe Van de Wiele, Department of Nuclear Medicine, University Hospital Ghent, Ghent, Belgium.

To schedule an interview with the researchers, please contact Susan Martonik at (703) 652-6773 or and past issues of The Journal of Nuclear Medicine can be found online at http://jnm.snmjournals.org.

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About SNM-Advancing Molecular Imaging and Therapy
SNM is an international scientific and medical organization dedicated to raising public awareness about what molecular imaging is and how it can help provide patients with the best health care possible. SNM members specialize in molecular imaging, a vital element of today’s medical practice that adds an additional dimension to diagnosis, changing the way common and devastating diseases are understood and treated.

SNM’s more than 17,000 members set the standard for molecular imaging and nuclear medicine practice by creating guidelines, sharing information through journals and meetings and leading advocacy on key issues that affect molecular imaging and therapy research and practice.

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Reston, Va.

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