RESISTing the Need to Quantify: Putting Qualitative FDG-PET/CT Tumor Response Assessment Criteria into Daily Practice.

Tumor response assessments are essential to evaluate cancer treatment efficacy and prognosticate survival in patients with cancer. Response criteria have evolved over multiple decades, including many imaging modalities and measurement schema. Advances in FDG-PET/CT have led to tumor response criteria that harness the power of metabolic imaging. Qualitative PET/CT assessment schema are easy to apply clinically, are reproducible, and yield good prognostic results. We present 3 such criteria, namely, the Lugano classification for lymphoma, the Hopkins criteria, and the Neck Imaging Reporting and Data Systems criteria for head and neck cancers. When comparing baseline PET/CTs with interim or end-of-treatment PET/CTs, radiologists can classify the tumor response as complete metabolic response, partial metabolic response, no metabolic response, or progressive disease, which has important implications in directing further cancer management and long-term patient prognosis. The purpose of this article is to review the progression of tumor response assessments from CT- and PET/CT-based quantitative and semi-quantitative systems to PET/CT-based qualitative systems; introduce the classification schema for these systems; and describe how to use these rapid, powerful, and qualitative PET/CT-based systems in daily practice through illustrative cases.

Doing More with Less: Diagnostic Accuracy of CT in Suspected Cauda Equina Syndrome.

BACKGROUND AND PURPOSE: Cauda equina syndrome typically requires emergent MR imaging to detect compressive lesions on the cauda equina, which may require surgical decompression. While CT is sometimes performed as a complementary imaging technique to evaluate osseous integrity in patients with cauda equina syndrome, the accuracy of CT in detecting significant spinal stenosis and cauda equina impingement is not well-defined in the literature. We hypothesized that percentage thecal sac effacement on CT of the lumbar spine would have high sensitivity and high negative predictive value in evaluating significant spinal stenosis and cauda equina impingement. MATERIALS AND METHODS: We analyzed imaging studies for 151 consecutive patients with clinically suspected cauda equina syndrome. The percentage thecal sac effacement (<50%, ≥50%) was determined on CT and MR imaging. The presence or absence of cauda equina impingement was determined on MR imaging. Using MR imaging as the reference standard, we performed statistical analysis to determine the accuracy of CT in predicting significant spinal stenosis (percentage thecal sac effacement, ≥50%) and cauda equina impingement. RESULTS: Forty of 151 patients had a percentage thecal sac effacement of ≥50% on MR imaging. Nineteen of 40 had cauda equina impingement. Readers determined that there was a CT percentage thecal sac effacement of <50% in 97/151 cases, and CT percentage thecal sac effacement of ≥50% in 54/151 cases. Reader sensitivity for the detection of significant spinal stenosis (MR percentage thecal sac effacement of ≥50%) was 0.98; specificity, 0.86; positive predictive value, 0.72; and negative predictive value, 0.99. No cases read as CT percentage thecal sac effacement of <50% were found to have cauda equina impingement. CONCLUSIONS: CT percentage thecal sac effacement of ≥50% predicts significant spinal stenosis on MR imaging in patients with clinically suspected cauda equina syndrome. CT percentage thecal sac effacement of <50% appears to reliably rule out cauda equina impingement. This imaging marker may serve as an additional tool for the clinician in deciding whether MR imaging can be deferred.