The maximum standardized uptake values on positron emission tomography of a non-small cell lung cancer predict stage, recurrence, and survival.

OBJECTIVE: We sought to assess whether the standard uptake value of a pulmonary nodule is an independent predictor of biologic aggressiveness. METHODS: This is a retrospective review of a prospective database of patients with non-small cell lung cancer. Patients had dedicated positron emission tomography scanning with F-18 fluorodeoxyglucose, with the maximum standard uptake value measured. All suspicious nodal and systemic locations on computed tomographic and positron emission tomographic scanning underwent biopsy, and when indicated, resection with complete lymphadenectomy was performed. RESULTS: There were 315 patients. Multivariate analysis showed patients with a high maximum standard uptake value (>/=10) were more likely to have poorly differentiated tumors (risk ratio, 1.5; P = .005) and advanced stage (risk ratio, 1.9; P = .010) and were less likely to have their disease completely resected (risk ratio, 3.7; P = .004). Maximum standard uptake value was the best predictor of disease-free survival (hazard ratio, 2.5; P = .039) and survival (hazard ratio, 2.8; P = .001). Stage-specific analysis showed that patients with stage IB and stage II disease with a maximum standard uptake value of greater than the median for their respective stages had a lower disease-free survival at 4 years ( P = .005 and .044). The actual 4-year survival for patients with stage Ib non-small cell lung cancer was 80% versus 66% ( P = .048), for stage II disease it was 64% versus 32% ( P = .028), and for stage IIIa disease it was 64% versus 16% ( P = .012) for the low and high maximum standard uptake value groups, respectively. CONCLUSIONS: The maximum standard uptake value of a non-small cell lung cancer nodule on dedicated positron emission tomography is an independent predictor of stage and tumor characteristics. It is a more powerful independent predictor than the TNM stage for recurrence and survival for patients with early-stage resected cancer. This information might help guide treatment strategies.

The accuracy of endoscopic ultrasonography with fine-needle aspiration, integrated positron emission tomography with computed tomography, and computed tomography in restaging patients with esophageal cancer after neoadjuvant chemoradiotherapy.

BACKGROUND: Patients with esophageal cancer who receive neoadjuvant chemoradiotherapy are restaged with computed tomography (CT), endoscopic ultrasound with fine needle aspiration (EUS-FNA), and integrated positron emission computed tomography (FDG-PET/CT), and the results affect treatment. METHODS: This is a prospective trial on a consecutive series of patients who had initial chest, abdomen, and pelvis CT scan; EUS-FNA; and fluoro-2-deoxy- d -glucose (FDG)-integrated PET/CT; neoadjuvant chemoradiotherapy; repeat staging tests; pathologic staging; and, if appropriate, resection with lymphadenectomy. The primary objective was to assess the accuracy of these 3 tests in restaging patients after neoadjuvant therapy. RESULTS: There were 48 patients (41 men), and 41 underwent Ivor Lewis esophagogastrectomy with lymphadenectomy. The accuracy of each test for distinguishing pathologic T4 from T1 to T3 disease is 76%, 80%, and 80% for CT scan, EUS-FNA and FDG-PET/CT, respectively. The accuracy for nodal disease was 78%, 78%, and 93% for CT scan, EUS-FNA and FDG-PET/CT, respectively ( P = .04). FDG-PET/CT correctly identified M1b disease in 4 patients, falsely suggested it in 4 patients, and missed it in 2 patients, whereas for CT, it was 3, 3, and 3 patients. Fifteen (31%) patients were complete responders, and FDG-PET/CT accurately predicted complete response in 89% compared with 67% for EUS-FNA ( P = .045) and 71% for CT ( P = .05). CONCLUSIONS: FDG-PET/CT is more accurate than EUS-FNA and CT scan for predicting nodal status and complete responders after neoadjuvant therapy in patients with esophageal cancer. FDG-PET/CT and CT alone provide targets for biopsy, but results are often falsely positive.

Repeat FDG-PET after neoadjuvant therapy is a predictor of pathologic response in patients with non-small cell lung cancer.

BACKGROUND: Repeat positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG) and chest computed tomography (CT) are used to assess the effectiveness of chemoradiotherapy in patients with non-small cell lung cancer (NSCLC); however, the change in the standardized uptake values (SUV) has not been correlated with the pathologic change of the primary tumor. METHODS: This is a retrospective cohort study of a prospective database of 56 patients who had NSCLC, FDG-PET, and chest CT scans both before and after neoadjuvant therapy, followed by complete resection of their cancer. Maximum SUVs (maxSUV) and tumor size were measured, and the percentage of change was compared with the percentage of nonviable tumor cells. The primary objective was to measure the degree of correlation between these values. RESULTS: The change in the maxSUV has a near linear relationship to the percent of nonviable tumor cells in the resected tumors. FDG-PET's maxSUV is better correlated to pathology than the change in size on CT scan (r2 = 0.75, r2 = 0.03, p < 0.001). When the maxSUV decreased by 80% or more, a complete pathologic response could be predicted with a sensitivity of 90%, specificity of 100%, and accuracy of 96%. CONCLUSIONS: The change in maxSUV on FDG-PET scan after neoadjuvant therapy holds a near linear relationship with pathologic response. It is a more accurate predictor than the change of size on CT scan. When the maxSUV decreases by 80% or more it is likely that the patient is a complete responder irrespective of cell type, neoadjuvant treatment, or the final absolute maxSUV. These findings may help guide treatment strategies.