CT Density in the Pancreas is a Promising Imaging Predictor for Pancreatic Ductal Adenocarcinoma
| Autor: | Yutaka Takeda, Yasunari Fukuda, Tomoki Hata, Hidetoshi Eguchi, Masaki Mori, Masahiro Tanemura, Tadafumi Asaoka, Kunihito Gotoh, Yoshifumi Iwagami, Koichi Kawamoto, Yuichiro Doki, Shogo Kobayashi, Daisaku Yamada, Takehiro Noda |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Pancreatic disease Adolescent Gastroenterology Young Adult 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors Surgical oncology Internal medicine medicine Carcinoma Humans Risk factor Pancreas Adiposity Aged Aged 80 and over Receiver operating characteristic business.industry Pancreatic Diseases Odds ratio Middle Aged medicine.disease Pancreatic Neoplasms medicine.anatomical_structure Adipose Tissue ROC Curve Oncology 030220 oncology & carcinogenesis Predictive value of tests Female 030211 gastroenterology & hepatology Surgery Radiology Tomography X-Ray Computed business Carcinoma Pancreatic Ductal |
| Zdroj: | Annals of Surgical Oncology. 24:2762-2769 |
| ISSN: | 1534-4681 1068-9265 |
| Popis: | Fatty pancreas (FP) was recently recognized as a risk factor for pancreatic ductal adenocarcinoma (PDAC). It is unclear whether computed tomography (CT) can be used to make a FP diagnosis. This study investigated whether CT could provide a predictive value for PDAC by diagnosing FP. The study included 183 consecutive patients who underwent distal pancreatectomy from February 2007 to January 2017, including 75 cases of PDAC and 108 cases of other pancreatic disease. Pancreatic CT density (pancreatic index; PI) at the initial diagnosis was calculated by dividing the CT number in the pancreas by the number in the spleen. To assess whether CT could be used to detect FP, 43 cases were evaluated pathologically for FP. We investigated the correlation between FP and PI, and determined the optimal PI cutoff value for detecting FP using receiver operating characteristics analysis. We then investigated whether the PI value could be used as a predictor for PDAC. Fourteen cases (32.6%) were pathologically diagnosed with FP. PI was significantly lower in the FP group versus the non-FP group (0.51 vs. 0.83; p = 0.0049). ROC analysis indicated that the PI had good diagnostic accuracy for FP diagnosis (cutoff value 0.70; sensitivity 0.79, specificity 0.79). Low PI (≤0.70) was identified in the multivariate analysis as an independent risk factor for PDAC (odds ratio 2.31; p = 0.023). PI was strongly associated with pathological FP, which was independently associated with PDAC. PI shows promise as an imaging predictor for PDAC. |
| Databáze: | OpenAIRE |
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