OBJECTIVES: To describe perfusion CT features of locally advanced pancreatic ductal adenocarcinoma and to evaluate correlation with tumor grading. METHODS: Thirty-two patients with locally advanced pancreatic adenocarcinoma were included in this study. Lesions were evaluated by P-CT and biopsy after patient's informed consent. P-CT parameters have been assessed on a large single and on 6 small intratumoral ROIs. Values obtained have been compared and related to the tumor grading using Mann-Whitney U test. Sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy in predicting tumor grading have been calculated for cut-off values chosen by using ROC curves. RESULTS: Out of 32 lesions, 12 were classified as low grade and 20 as high grade. A statistically significant difference between high and low grade neoplasms were demonstrated for PEI and BV parameters. PEI and BV cut-off values were respectively 17.8 HU and 14.8 ml/100g. PEI identified high grade neoplasms with a 65% sensitivity, 92% specificity, 93% PPV, 61% NPV and 75% accuracy. BV identified high grade neoplasms with a 80% sensitivity, 75% specificity, 84% PPV, 69% NPV, 78% accuracy. Considering both PEI and BV, P-CT identified high grade lesions with a 60% sensitivity, 100% specificity, 100% PPV, 60% NPV and 75% accuracy. CONCLUSIONS: PEI and BV perfusion CT parameters proved their efficiency in identifying high grade pancreatic adenocarcinoma.
OBJECTIVES: To describe perfusion CT features of locally advanced pancreatic ductal adenocarcinoma and to evaluate correlation with tumor grading. METHODS: Thirty-two patients with locally advanced pancreatic adenocarcinoma were included in this study. Lesions were evaluated by P-CT and biopsy after patient's informed consent. P-CT parameters have been assessed on a large single and on 6 small intratumoral ROIs. Values obtained have been compared and related to the tumor grading using Mann-Whitney U test. Sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy in predicting tumor grading have been calculated for cut-off values chosen by using ROC curves. RESULTS: Out of 32 lesions, 12 were classified as low grade and 20 as high grade. A statistically significant difference between high and low grade neoplasms were demonstrated for PEI and BV parameters. PEI and BV cut-off values were respectively 17.8 HU and 14.8 ml/100g. PEI identified high grade neoplasms with a 65% sensitivity, 92% specificity, 93% PPV, 61% NPV and 75% accuracy. BV identified high grade neoplasms with a 80% sensitivity, 75% specificity, 84% PPV, 69% NPV, 78% accuracy. Considering both PEI and BV, P-CT identified high grade lesions with a 60% sensitivity, 100% specificity, 100% PPV, 60% NPV and 75% accuracy. CONCLUSIONS: PEI and BV perfusion CT parameters proved their efficiency in identifying high grade pancreatic adenocarcinoma.
Authors: Chaan S Ng; Adam G Chandler; James C Yao; Delise H Herron; Ella F Anderson; Chusilp Charnsangavej; Brian P Hobbs Journal: J Comput Assist Tomogr Date: 2014 Jul-Aug Impact factor: 1.826
Authors: Willemieke S Tummers; Juergen K Willmann; Bert A Bonsing; Alexander L Vahrmeijer; Sanjiv S Gambhir; Rutger-Jan Swijnenburg Journal: Pancreas Date: 2018-07 Impact factor: 3.327
Authors: Inga Zaborienė; Giedrius Barauskas; Antanas Gulbinas; Povilas Ignatavičius; Saulius Lukoševičius; Kristina Žvinienė Journal: Open Med (Wars) Date: 2021-02-05
Authors: Elżbieta Luczyńska; Sylwia Heinze-Paluchowska; Agnieszka Domalik; Anna Cwierz; Hanna Kasperkiewicz; Paweł Blecharz; Barbara Jereczek-Fossa Journal: Pol J Radiol Date: 2014-12-02