PURPOSE: Correctly identifying infection in cancer patients can be challenging. Limited data suggest that positron emission tomography (PET) using fluorine-18 fluorodeoxyglucose (FDG) may be useful for diagnosing infection. To determine the role of FDG-PET in the diagnosis of infection in patients with multiple myeloma (MM). PATIENTS AND METHODS: The medical records of 248 patients who had FDG-PET performed for MM staging or infection work-up revealing increased uptake at extramedullary sites and/or bones and joints that would be atypical for MM between October 2001 and May 2004 were reviewed to identify infections and evaluate FDG-PET contribution to patient outcome. RESULTS: One hundred sixty-five infections were identified in 143 adults with MM. Infections involved the respiratory tract [99; pneumonia (93), sinusitis (six)], bone, joint and soft tissues [26; discitis (10), osteomyelitis (nine), septic arthritis (one), cellulitis (six)], vascular system [18; septic thrombophlebitis (nine), infection of implantable catheter (eight), septic emboli (one)], gastrointestinal tract [12; colitis (seven), abdominal abscess (three), and diverticulitis and esophagitis (one each)], and dentition [periodontal abscess (10)]. Infections were caused by bacteria, mycobacteria, fungi, and viruses. FDG-PET detected infection even in patients with severe neutropenia and lymphopenia (30 episodes). The FDG-PET findings identified infections not detectable by other methods (46 episodes), determined extent of infection (32 episodes), and led to modification of work-up and therapy (55 episodes). Twenty silent, but clinically relevant, infections were detected among patients undergoing staging FDG-PET. CONCLUSION: In patients with MM, FDG-PET is a useful tool for diagnosing and managing infections even in the setting of severe immunosuppression.
PURPOSE: Correctly identifying infection in cancerpatients can be challenging. Limited data suggest that positron emission tomography (PET) using fluorine-18 fluorodeoxyglucose (FDG) may be useful for diagnosing infection. To determine the role of FDG-PET in the diagnosis of infection in patients with multiple myeloma (MM). PATIENTS AND METHODS: The medical records of 248 patients who had FDG-PET performed for MM staging or infection work-up revealing increased uptake at extramedullary sites and/or bones and joints that would be atypical for MM between October 2001 and May 2004 were reviewed to identify infections and evaluate FDG-PET contribution to patient outcome. RESULTS: One hundred sixty-five infections were identified in 143 adults with MM. Infections involved the respiratory tract [99; pneumonia (93), sinusitis (six)], bone, joint and soft tissues [26; discitis (10), osteomyelitis (nine), septic arthritis (one), cellulitis (six)], vascular system [18; septic thrombophlebitis (nine), infection of implantable catheter (eight), septic emboli (one)], gastrointestinal tract [12; colitis (seven), abdominal abscess (three), and diverticulitis and esophagitis (one each)], and dentition [periodontal abscess (10)]. Infections were caused by bacteria, mycobacteria, fungi, and viruses. FDG-PET detected infection even in patients with severe neutropenia and lymphopenia (30 episodes). The FDG-PET findings identified infections not detectable by other methods (46 episodes), determined extent of infection (32 episodes), and led to modification of work-up and therapy (55 episodes). Twenty silent, but clinically relevant, infections were detected among patients undergoing staging FDG-PET. CONCLUSION: In patients with MM, FDG-PET is a useful tool for diagnosing and managing infections even in the setting of severe immunosuppression.
Authors: A P Douglas; K A Thursky; L J Worth; E Drummond; A Hogg; R J Hicks; M A Slavin Journal: Eur J Nucl Med Mol Imaging Date: 2018-06-07 Impact factor: 9.236
Authors: Twyla B Bartel; Jeff Haessler; Tracy L Y Brown; John D Shaughnessy; Frits van Rhee; Elias Anaissie; Terri Alpe; Edgardo Angtuaco; Ronald Walker; Joshua Epstein; John Crowley; Bart Barlogie Journal: Blood Date: 2009-05-14 Impact factor: 22.113