Borderline Resectable and Locally Advanced Pancreatic Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Pathologic Response to Neoadjuvant Therapy and Prediction of Survival.

Panda, Ananya; Garg, Ishan; Truty, Mark J; Kline, Timothy L; Johnson, Matthew P; Ehman, Eric C; Suman, Garima; Anaam, Deema A et al. · AJR Am J Roentgenol · 2021

retrospective_cohort · Level III

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Abstract

<b>BACKGROUND.</b> Imaging biomarkers of response to neoadjuvant therapy (NAT) for pancreatic ductal adenocarcinoma (PDA) are needed to optimize treatment decisions and long-term outcomes. <b>OBJECTIVE.</b> The purpose of this study was to investigate metrics from PET/MRI and CT to assess pathologic response of PDA to NAT and to predict overall survival (OS). <b>METHODS.</b> This retrospective study included 44 patients with <sup>18</sup>F-FDG-avid borderline resectable or locally advanced PDA on pretreatment PET/MRI who also underwent post-NAT PET/MRI before surgery between August 2016 and February 2019. Carbohydrate antigen 19-9 (CA 19-9) level, metabolic metrics from PET/MRI, and morphologic metrics from CT (<i>n</i> = 34) were compared between pathologic responders (College of American Pathologists scores 0 and 1) and nonresponders (scores 2 and 3). AUCs were measured for metrics significantly associated with pathologic response. Relation to OS was evaluated with Cox proportional hazards models. <b>RESULTS.</b> Among 44 patients (22 men, 22 women; mean age, 62 ± 11.6 years), 19 (43%) were responders, and 25 (57%) were nonresponders. Median OS was 24 months (range, 6-42 months). Before treatment, responders and nonresponders did not differ in CA 19-9 level, metabolic metrics, or CT metrics (<i>p</i> > .05). After treatment, responders and nonresponders differed in complete metabolic response (CMR) (responders, 89% [17/19]; nonresponders, 40% [10/25]; <i>p</i> = .04], mean change in SUV<sub>max</sub> (ΔSUV<sub>max</sub>; responders, -70% ± 13%; nonresponders, -37% ± 42%; <i>p</i> < .001), mean change in SUV<sub>max</sub> corrected to serum glucose level (ΔSUV<sub>gluc</sub>) (responders, -74% ± 12%; nonresponders, -30% ± 58%; <i>p</i> < .001), RECIST response on CT (responders, 93% [13/14]; nonresponders, 50% [10/20]; <i>p</i> = .02)], and mean change in tumor volume on CT (ΔTvol) (responders, -85% ± 21%; nonresponders, 57% ± 400%; <i>p</i> < .001). The AUC of CMR for pathologic response was 0.75; ΔSUV<sub>max</sub>, 0.83; ΔSUV<sub>gluc</sub>, 0.87; RECIST, 0.71; and ΔTvol 0.86. The AUCs of bivariable PET/MRI and CT models were 0.83 (CMR and ΔSUV<sub>max</sub>), 0.87 (CMR and ΔSUV<sub>gluc</sub>), and 0.87 (RECIST and ΔTvol). OS was associated with CMR (<i>p</i> = .03), ΔSUV<sub>max</sub> (<i>p</i> = .003), ΔSUV<sub>gluc</sub> (<i>p</i> = .003), and RECIST (<i>p</i> = .046). <b>CONCLUSION.</b> Unlike CA 19-9 level, changes in metabolic metrics from PET/MRI and morphologic metrics from CT after NAT were associated with pathologic response and OS in patients with PDA, warranting prospective validation. <b>CLINICAL IMPACT.</b> Imaging metrics associated with pathologic response and OS in PDA could help guide clinical management and outcomes for patients with PDA who undergo emergency therapeutic interventions.

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