Histogram Analysis of Hepatobiliary Contrast Uptake in Liver Metastases from Pancreatic Ductal Adenocarcinoma for Prognosis Assessment

Motivation: Liver metastases with contrast uptake on hepatobiliary phase images in patients with pancreatic ductal adenocarcinoma (PDAC) were related to poor prognosis. Prior study focused on visual assessment of the tumor, however, reliable quantitativeness is necessary. Goal(s): To evaluate the relationship between the gadoxetic acid uptake in liver metastases and overall survival (OS) in patients with PDAC using histogram analysis. Approach: The best quantitative parameter was analyzed comparable with visual assessment using receiver operating characteristic curve analysis. Results: Patients with the entropy of >5.422 in the greatest liver metastasis exhibited lower OS rates than those with ≤5.422 (mean, 9.6 months vs 37.7 months). Impact: Liver metastases with contrast uptake on hepatobiliary phase images were related to poor prognosis. Entropy on histogram features in the greatest liver metastasis can be a potential quantitative imaging biomarker to predict overall survival in patients with pancreatic ductal adenocarcinoma.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/1477
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
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article

Histogram Analysis of Hepatobiliary Contrast Uptake in Liver Metastases from Pancreatic Ductal Adenocarcinoma for Prognosis Assessment

Yoshifumi Noda, Kimihiro Kajita, Tetsuro Kaga, Masayuki Matsuo et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Pancreatic and Hepatic Oncology Research
article

Histogram Analysis of Hepatobiliary Contrast Uptake in Liver Metastases from Pancreatic Ductal Adenocarcinoma for Prognosis Assessment

Yoshifumi Noda, Kimihiro Kajita, Tetsuro Kaga, Masayuki Matsuo, Yukiko Takai, Masashi Asano, Nobuyuki Kawai, Akio Ito
article en

Abstract

Motivation: Liver metastases with contrast uptake on hepatobiliary phase images in patients with pancreatic ductal adenocarcinoma (PDAC) were related to poor prognosis. Prior study focused on visual assessment of the tumor, however, reliable quantitativeness is necessary. Goal(s): To evaluate the relationship between the gadoxetic acid uptake in liver metastases and overall survival (OS) in patients with PDAC using histogram analysis. Approach: The best quantitative parameter was analyzed comparable with visual assessment using receiver operating characteristic curve analysis. Results: Patients with the entropy of >5.422 in the greatest liver metastasis exhibited lower OS rates than those with ≤5.422 (mean, 9.6 months vs 37.7 months). Impact: Liver metastases with contrast uptake on hepatobiliary phase images were related to poor prognosis. Entropy on histogram features in the greatest liver metastasis can be a potential quantitative imaging biomarker to predict overall survival in patients with pancreatic ductal adenocarcinoma.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
No poverty
Openalex Percentile: Top 62%
Pancreatic and Hepatic Oncology Research
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Histogram Analysis of Hepatobiliary Contrast Uptake in Liver Metastases from Pancreatic Ductal Adenocarcinoma for Prognosis Assessment — Yoshifumi Noda, Kimihiro Kajita, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS