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  • PET/MRI, CT can...

PET/MRI, CT can predict treatment response in pancreatic cancer: Study

Medha BaranwalWritten by Medha Baranwal Published On 2020-12-16T18:36:23+05:30  |  Updated On 2020-12-17T16:07:43+05:30
PET/MRI, CT can predict treatment response in pancreatic cancer: Study

Rochester, MN: Post neoadjuvant therapy (NAT) changes in metabolic metrics tracked on PET/MRI and morphologic metrics from CT were associated with pathologic response and overall survival (OS) for pancreatic ductal adenocarcinoma (PDA) patients, suggests a recent study.According to the study, published in the American Journal of Roetgenology, imaging metrics associated with OS and...

Rochester, MN: Post neoadjuvant therapy (NAT) changes in metabolic metrics tracked on PET/MRI and morphologic metrics from CT were associated with pathologic response and overall survival (OS) for pancreatic ductal adenocarcinoma (PDA) patients, suggests a recent study.

According to the study, published in the American Journal of Roetgenology, imaging metrics associated with OS and pathologic response in PDA could help in guiding clinical management and outcomes for PDA patients receiving emergent therapeutic interventions.

There is a need for imaging biomarkers of response to NAT in PDA in order to optimize treatment decisions and long-term outcomes. Keeping this need in mind, Ananya Panda, the Mayo Clinic, Rochester, MN, and colleagues investigated metrics from PET/MRI and CT for assessment of pathologic response of PDA to NAT and prediction of overall survival.

For the purpose, the researchers included 44 patients with 18F-FDG avid borderline resectable or locally advanced PDA on pre-treatment PET/MRI who also underwent post-NAT PET/MRI prior to surgery between 8/2016 and 9/2019. The researchers then compared CA 19-9, metabolic metrics from PET/MRI, and morphologic metrics from CT (n=34) between pathologic responders [College of American Pathologists scores 0 and 1] and nonresponders (scores 2 and 3). 

AUCs were obtained for metrics significantly associated with pathologic response.

Of 44 patients (22 men, 22 women; mean age 62±11.6 years), 19 (43%) were responders, and 25 (57%) were nonresponders. 

Key findings of the study include:

  • Pre-treatment, responders and non-responders did not differ in CA 19-9, metabolic metrics, or CT metrics.
  • Post-treatment, responders and non-responders differed for complete metabolic response (CMR) [responders 90% (17/19), nonresponders 40% (10/25)], change in SUVmax (ΔSUVmax) (mean±SD, responders -70%±13%, nonresponders -37%±42%), change in glucose-corrected SUVmax (ΔSUV gluc) (mean±SD, responders -74%±12%, nonresponders -30%±58%), RECIST response on CT [responders 93% (13/14), nonresponders 50% (10/20)], and change in tumor volume on CT (ΔTvol) (mean ±SD, responders -85%± 21%, nonresponders +57%±400%).
  • AUCs of CMR, ΔSUVmax, ΔSUVgluc, RECIST and ΔTvol for pathologic response were 0.75, 0.83, 0.87, 0.71 and 0.86. respectively.
  • AUCs of bivariable PET/MRI and CT models were 0.83 (CMR and ΔSUVmax), 0.87 (CMR and ΔSUVgluc) and 0.87 (RECIST and ΔTvol). OS was associated with CMR, ΔSUVmax, ΔSUVgluc, and RECIST. 
    "Unlike CA 19-9, post-NAT changes in metabolic metrics from PET/MRI and morphologic metrics from CT were associated with pathologic response and OS in patients with PDA, warranting prospective validation," concluded the authors. 

The study, "Borderline Resectable and Locally Advanced Pancreas Cancer: FDG PET/MRI and CT Tumor Metrics for Assessment of Neoadjuvant Therapy Pathologic Response and Prediction of Survival," is published in the American Journal of Roetgenology.

DOI: https://www.ajronline.org/doi/abs/10.2214/AJR.20.24567

American Journal of Roetgenology pancreatic cancer PET MRI CT 
Source : American Journal of Roetgenology
Medha Baranwal
Medha Baranwal

    MSc. Biotechnology

    Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at  editorial@medicaldialogues.in. Contact no. 011-43720751

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