Desist using just RECIST when monitoring neuroendocrine tumors. A combined imaging approach that draws on both molecular and morphological information provides a much better measure of early treatment response, according to a leading German nuclear medicine specialist.
Desist using just RECIST when monitoring neuroendocrine tumors. A combined imaging approach that draws on both molecular and morphological information provides a much better measure of early treatment response, according to a leading German nuclear medicine specialist.
Response Evaluation Criteria in Solid Tumors (RECIST) and World Health Organization criteria for classifying tumor response work best with fast-growing cancers and when therapeutic agents are cytotoxic rather than cytostatic. Treatment evaluation of slow-growing neuroendocrine tumors based on size changes alone is far more difficult, however, Prof. Richard Baum told delegates at September's World Molecular Imaging Congress in Nice, France.
A high percentage of neuroendocrine tumors are nonfunctional, and clinical response parameters are often insufficient, said Baum, chair and director of the nuclear medicine department and the Center for PET/CT at the Zentralklinik in Bad Berka, Germany. Biochemical markers such as CgA and 5-HIAA may also be misleading, owing to their poor sensitivity. FDGPET is often unsuitable for follow-up in this type of malignancy, because glucose metabolism does not necessarily increase in slow-growing, well-differentiated tumors.
Neuroendocrine tumors are increasingly being treated with peptide receptor radionuclide therapy (PRRT). Researchers from the Zentralklinik in Bad Berka, together with colleagues from Seoul National University Hospital, have now shown that PET/CT imaging with the radioisotope gallium- 68 DOTA-NOC is an effective marker of early response to this type of treatment.
Investigators selected 25 subjects at random from a group of 505 patients with metastasized neuroendocrine cancer who were scheduled for treatment with PRRT (138 lesions). They compared pre- and post-treatment images acquired using Ga-68 DOTA-NOC PET/CT (molecular response), FDGPET/ CT (metabolic response), and contrast-enhanced CT (morphological response). A response index was calculated for each lesion from PET images based on the pre- and posttreatment maximum standard uptake value. RECIST criteria were applied to the contrast-enhanced CT data. All lesions were categorized as partial responders, stable disease, or progressive disease.
Researchers observed no correlation between any of the three modalities. For example, Ga-68 DOTA-NOC PET classified 70.6% of the lesions as partial responders, while FDG-PET put 43.8% into this category, and CT just 17.6%. The sensitivity and specificity of Ga-68 DOTA-NOC PET to predict response to radiopeptide therapy were calculated as 89% and 71%, respectively.
The take-home message is that molecular response precedes morphology. "Ga-68 DOTA-NOC PET/CT is a novel and accurate molecular imaging tool and superior to morphologic imaging for the early assessment of response to PRRT in metastatic neuroendocrine tumors," Baum said.
Intense metabolic activity, reflected on FDG-PET scans, can still be an important prognostic indicator, he said. An observed increase in glucose uptake may be related to an outgrowth of aggressive tumor clones, suggesting a poor prognosis.
-By Paula Gould
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
Study Shows Merits of CTA-Derived Quantitative Flow Ratio in Predicting MACE
December 11th 2024For patients with suspected or known coronary artery disease (CAD) without percutaneous coronary intervention (PCI), researchers found that those with a normal CTA-derived quantitative flow ratio (CT-QFR) had a 22 percent higher MACE-free survival rate.