BACKGROUND: The aim of this study was to determine whether preradiation (pre-RT) single photon emission computed tomography (SPECT) lung perfusion scans can be used to predict RT-induced changes in pulmonary function tests (PFTs). METHODS: Ninety-four patients irradiated for thoracic tumors had pre-RT SPECT lung perfusion scans. The presence of SPECT hypoperfusion distal to a central mediastinal tumor was qualitatively assessed visually without knowledge of PFT changes. Patients were grouped based on whether the diffusion capacity (DLCO) ever increased post-RT. Comparisons of patient groups were performed using 1-tailed Fisher exact tests. Patient follow-up was 6-56 months (mean, 30 months). To assess SPECT hypoperfusion objectively, the average dose to the computed tomography (CT)-defined lung was compared with the weighted-average dose (based on relative perfusion) to the SPECT-defined lung. The ratio between the CT- and SPECT-defined mean lung dose provided a quantitative assessment of hypoperfusion. The mean ratio for patients with central tumor and adjacent hypoperfusion was compared with that of the others (Wilcoxon rank-sum one-sided test). RESULTS: In patients with central tumors, 41% (9 of 22) with adjacent hypoperfusion had improvements in DLCO following radiation, versus 18% (3 of 17) of those without hypoperfusion (P = 0.11). In patients with lung carcinoma, the corresponding ratios were 40% (8 of 20) and 10% (1 of 10), respectively (P = 0.10). The mean ratio of CT dose to SPECT dose was 1.35 for patients with central tumors and adjacent hypoperfusion versus 1.16 for others (P = 0.017). CONCLUSIONS: The presence of SPECT hypoperfusion adjacent to a central mediastinal mass may identify patients likely to have improved PFTs following RT. Thus, SPECT imaging may be useful in models for predicting radiation-induced changes in PFTs.
BACKGROUND: The aim of this study was to determine whether preradiation (pre-RT) single photon emission computed tomography (SPECT) lung perfusion scans can be used to predict RT-induced changes in pulmonary function tests (PFTs). METHODS: Ninety-four patients irradiated for thoracic tumors had pre-RT SPECT lung perfusion scans. The presence of SPECT hypoperfusion distal to a central mediastinal tumor was qualitatively assessed visually without knowledge of PFT changes. Patients were grouped based on whether the diffusion capacity (DLCO) ever increased post-RT. Comparisons of patient groups were performed using 1-tailed Fisher exact tests. Patient follow-up was 6-56 months (mean, 30 months). To assess SPECT hypoperfusion objectively, the average dose to the computed tomography (CT)-defined lung was compared with the weighted-average dose (based on relative perfusion) to the SPECT-defined lung. The ratio between the CT- and SPECT-defined mean lung dose provided a quantitative assessment of hypoperfusion. The mean ratio for patients with central tumor and adjacent hypoperfusion was compared with that of the others (Wilcoxon rank-sum one-sided test). RESULTS: In patients with central tumors, 41% (9 of 22) with adjacent hypoperfusion had improvements in DLCO following radiation, versus 18% (3 of 17) of those without hypoperfusion (P = 0.11). In patients with lung carcinoma, the corresponding ratios were 40% (8 of 20) and 10% (1 of 10), respectively (P = 0.10). The mean ratio of CT dose to SPECT dose was 1.35 for patients with central tumors and adjacent hypoperfusion versus 1.16 for others (P = 0.017). CONCLUSIONS: The presence of SPECT hypoperfusion adjacent to a central mediastinal mass may identify patients likely to have improved PFTs following RT. Thus, SPECT imaging may be useful in models for predicting radiation-induced changes in PFTs.
Authors: Lawrence B Marks; Soren M Bentzen; Joseph O Deasy; Feng-Ming Spring Kong; Jeffrey D Bradley; Ivan S Vogelius; Issam El Naqa; Jessica L Hubbs; Joos V Lebesque; Robert D Timmerman; Mary K Martel; Andrew Jackson Journal: Int J Radiat Oncol Biol Phys Date: 2010-03-01 Impact factor: 7.038
Authors: Jingfang Mao; Zafer Kocak; Sumin Zhou; Jennifer Garst; Elizabeth S Evans; Junan Zhang; Nicole A Larrier; Donna R Hollis; Rodney J Folz; Lawrence B Marks Journal: Int J Radiat Oncol Biol Phys Date: 2007-02-02 Impact factor: 7.038
Authors: Zafer Kocak; Gerben R Borst; Jing Zeng; Sumin Zhou; Donna R Hollis; Junan Zhang; Elizabeth S Evans; Rodney J Folz; Terrence Wong; Daniel Kahn; Jose S A Belderbos; Joos V Lebesque; Lawrence B Marks Journal: Int J Radiat Oncol Biol Phys Date: 2007-01-01 Impact factor: 7.038
Authors: Jinli Ma; Junan Zhang; Sumin Zhou; Jessica L Hubbs; Rodney J Foltz; Donna R Hollis; Kim L Light; Terence Z Wong; Christopher R Kelsey; Lawrence B Marks Journal: Int J Radiat Oncol Biol Phys Date: 2008-12-10 Impact factor: 7.038
Authors: Shankar Siva; Jason Callahan; Tomas Kron; Olga A Martin; Michael P MacManus; David L Ball; Rodney J Hicks; Michael S Hofman Journal: BMC Cancer Date: 2014-10-02 Impact factor: 4.430
Authors: Hannah M T Thomas; Daniel S Hippe; Parisa Forouzannezhad; Balu Krishna Sasidharan; Paul E Kinahan; Robert S Miyaoka; Hubert J Vesselle; Ramesh Rengan; Jing Zeng; Stephen R Bowen Journal: Discov Oncol Date: 2022-09-01