4.7 Article

The Quest for an Accurate Functional Tumor Volume with 68Ga-DOTATATE PET/CT

Journal

JOURNAL OF NUCLEAR MEDICINE
Volume 63, Issue 7, Pages 1027-1032

Publisher

SOC NUCLEAR MEDICINE INC
DOI: 10.2967/jnumed.121.262782

Keywords

functional tumor volume; neuroendocrine tumors; somatostatin analogs; PET/CT

Funding

  1. NIH/NCI Cancer Center Support Grant [P30 CA008748]
  2. AAA-Novartis

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Ga-68-labeled somatostatin analog PET/CT is a standard component in the management of neuroendocrine tumors. However, the assessment of treatment response for these tumors still relies on morphologic size measurements, which may not accurately reflect the disease burden. This study aimed to test the accuracy of different methods for measuring functional tumor volume (FTV) using PET/CT and identify a reliable method for assessing tumor burden. The results showed that FTV determined with a thresholding approach had the strongest correlation with traditional morphologic volume measurements, indicating its potential use in determining disease extent and prognosis in patients with neuroendocrine tumors.
Ga-68-labeled somatostatin analog (SSA) PET/CT is now a standard-of-care component in the management of neuroendocrine tumors (NETs). However, treatment response for NETs is still assessed with morphologic size measurements from other modalities, which can result in inaccuracy about the disease burden. Functional tumor volume (FTV) acquired from SSA PET/CT has been suggested as a possible metric, but no validated measurement tool to measure FTV exists. We tested the precision of multiple FTV computational approaches compared with morphologic volume measurements to identify a candidate for incorporation into future FTV studies to assess tumor burden more completely and accurately. Methods: The clinical and imaging data of 327 NET patients were collected at Memorial Sloan Kettering Cancer Center between December 2016 and April 2018. Patients were required to have SSA PET/CT and dedicated CT scans within 6 wk and were excluded if they had any intervention between scans. When paired studies were evaluated, 150 correlating lesions demonstrated SSA. Lesions were excluded if they contained necrotic components or were lobulated. This exclusion resulted in 94 lesions in 20 patients. The FTV for each lesion was evaluated with a hand-drawn assessment and 3 automated techniques: 50% threshold from SUVmax, 42% threshold from SUVmax, and background-subtracted lesion activity. These measurements were compared with volume calculated from morphologic volume measurements. Results: The FTV calculation methods showed varying correlations with morphologic volume measurements. FTV using a 42% threshold had a 0.706 correlation, hand-drawn volume from PET imaging had a 0.657 correlation, FTV using a 50% threshold had a 0.645 correlation, and background-subtracted lesion activity had a 0.596 correlation. The Bland-Altman plots indicated that all FTV methods had a positive mean difference from morphologic volume, with a 50% threshold showing the smallest mean difference. Conclusion: FTV determined with thresholding of SUVmax demonstrated the strongest correlation with traditional morphologic lesion volume assessment and the least bias. This method was more accurate than FTV calculated fromhand-drawn volume assessments. Threshold-based automated FTV assessment promises to better determine disease extent and prognosis in patients with NETs.

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