UNLABELLED: We sought to determine whether PET/CT imaging with (68)Ga-citrate could be of value in distinguishing benign from malignant lung pathology in a setting with a high prevalence of granulomatous diseases. METHODS: Thirty-six consecutive patients with indeterminate lung lesions prospectively underwent dual time point (60 and 120 min) (68)Ga-citrate PET/CT study prior to lung biopsy. Qualitative and semi-quantitative measures of tracer uptake in the lung lesions (SUVmax) were compared to the histopathology in order to establish an imaging pattern to distinguish benign from malignant lesions. RESULTS: Fourteen patients (38.9 %) were diagnosed with a malignant lesion, 12 (33.3 %) with tuberculosis (TB), and 10 participants (27.8 %) with other benign lung lesions. At 60-min post-injection, patients who were diagnosed with a malignant lesion (n = 14) demonstrated a mean SUVmax of 3.36 ± 1.14, with a median value of 3.04 (min = 1.56, max = 4.65).Those with TB (n = 12) demonstrated a SUVmax of 3.99 ± 2.28, and a median value of 3.71 (pct25 = 2.19, pct75 = 4.95). In patients with other benign lesions (n = 10), the following values were observed: a SUVmax of 2.70 ± 1.31, a median value of 2.50 (pct25 = 1.76, pct75 = 3.59). The mean values of these three types of pathology were not statistically significant (p = 0.1919), and therefore the SUVmax could not be used to accurately distinguish between these lesions using both early and delayed imaging. CONCLUSION: This study, as the first (68)Ga-citrate PET/CT in humans for the in vivo imaging of lung pathology, demonstrated its potential for the detection of both malignancy and TB. However, (68)Ga-citrate seemed incapable of providing a clear distinction between malignant and benign lung lesions in a setting with a high prevalence of granulomatous diseases such as TB.
UNLABELLED: We sought to determine whether PET/CT imaging with (68)Ga-citrate could be of value in distinguishing benign from malignant lung pathology in a setting with a high prevalence of granulomatous diseases. METHODS: Thirty-six consecutive patients with indeterminate lung lesions prospectively underwent dual time point (60 and 120 min) (68)Ga-citrate PET/CT study prior to lung biopsy. Qualitative and semi-quantitative measures of tracer uptake in the lung lesions (SUVmax) were compared to the histopathology in order to establish an imaging pattern to distinguish benign from malignant lesions. RESULTS: Fourteen patients (38.9 %) were diagnosed with a malignant lesion, 12 (33.3 %) with tuberculosis (TB), and 10 participants (27.8 %) with other benign lung lesions. At 60-min post-injection, patients who were diagnosed with a malignant lesion (n = 14) demonstrated a mean SUVmax of 3.36 ± 1.14, with a median value of 3.04 (min = 1.56, max = 4.65).Those with TB (n = 12) demonstrated a SUVmax of 3.99 ± 2.28, and a median value of 3.71 (pct25 = 2.19, pct75 = 4.95). In patients with other benign lesions (n = 10), the following values were observed: a SUVmax of 2.70 ± 1.31, a median value of 2.50 (pct25 = 1.76, pct75 = 3.59). The mean values of these three types of pathology were not statistically significant (p = 0.1919), and therefore the SUVmax could not be used to accurately distinguish between these lesions using both early and delayed imaging. CONCLUSION: This study, as the first (68)Ga-citrate PET/CT in humans for the in vivo imaging of lung pathology, demonstrated its potential for the detection of both malignancy and TB. However, (68)Ga-citrate seemed incapable of providing a clear distinction between malignant and benign lung lesions in a setting with a high prevalence of granulomatous diseases such as TB.
Authors: Alfred O Ankrah; Tjip S van der Werf; Erik F J de Vries; Rudi A J O Dierckx; Mike M Sathekge; Andor W J M Glaudemans Journal: Clin Transl Imaging Date: 2016-03-07
Authors: Soile P Salomäki; Jukka Kemppainen; Ulla Hohenthal; Pauliina Luoto; Olli Eskola; Pirjo Nuutila; Marko Seppänen; Laura Pirilä; Jarmo Oksi; Anne Roivainen Journal: Contrast Media Mol Imaging Date: 2017-10-17 Impact factor: 3.161
Authors: Lars Jødal; Svend B Jensen; Ole L Nielsen; Pia Afzelius; Per Borghammer; Aage K O Alstrup; Søren B Hansen Journal: Contrast Media Mol Imaging Date: 2017-10-09 Impact factor: 3.161
Authors: Cinzia Imberti; Pierre Adumeau; Julia E Blower; Fahad Al Salemee; Julia Baguña Torres; Jason S Lewis; Brian M Zeglis; Samantha Y A Terry; Philip J Blower Journal: Int J Mol Sci Date: 2020-02-22 Impact factor: 5.923