Literature DB >> 33778722

Pancreatic Ductal Adenocarcinoma: Interface Enhancement Gradient Measured on Dual-Energy CT Images Improves Prognostic Evaluation.

Ahmed M Amer1, Yufeng Li1, David Summerlin1, Constantine M Burgan1, Michelle M McNamara1, Andrew D Smith1, Desiree E Morgan1.   

Abstract

Purpose: To investigate the prognostic value of differential enhancement on baseline dual-energy CT images in patients with treatment-naive pancreatic ductal adenocarcinoma (PDAC), with a focus on tumor-host interface characterization. Materials and
Methods: This was a retrospective, institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study of 158 consecutive adult patients (mean age, 68 years; age range, 40.9-88.9 years; 50% women) with histopathologically proven, treatment-naive PDAC, who had undergone multiphasic pancreatic dual-energy CT from December 2011 to March 2017. Regions of interest in tumor core, tumor border, pancreas border with tumor, nontumoral pancreas, and aorta were recorded on pancreatic parenchymal phase (PPP) dual-energy CT 70-keV, 52-keV, and iodine material density (MD) images, plus portal venous phase (PVP) conventional CT images. Enhancement gradient (delta) across the tumor-pancreas interface was calculated. Delta was evaluated combining the dual-energy CT values with the PVP values and as individual predictors. Receiver operating characteristic analysis with logistic regression was used to determine the optimal cut point for each dual-energy CT delta to predict disease outcome based on highest Youden index. Survival curves were generated using Kaplan-Meier method, and comparison between two independent groups (high and low delta) was evaluated with log-rank test. Clinical outcomes included overall survival and distant metastasis-free survival. Three independent blinded radiologists visually scored tumor conspicuity (subjective delta score) on a 1-5 scale, and agreement was evaluated with κ statistic.
Results: Ninety-three patients had advanced stage (50 locally advanced and 43 metastatic) and 65 had lower stage (48 resectable and 17 borderline resectable) tumors. Patients with high delta tumors (≥ 40 HU) on either 70-keV PPP images or conventional PVP images had significantly shorter overall survival compared with those with low delta tumors (< 40 HU) in both early stage PDAC (13.5 months vs 23.3 months; hazard ratio [HR], 1.87; 95% confidence interval [CI]: 1.01, 3.5; P = .04) and advanced stage PDAC (10.8 months vs 18.0 months; HR, 2.1; 95% CI: 1.28, 3.6; P = .003). Qualitative visual scoring of tumor conspicuity also showed shorter overall survival in patients with more conspicuous tumors. Highest interreader agreement for subjective delta score was 0.73 and 0.60 using iodine MD and 52-keV images, respectively.
Conclusion: Increased quantitative and qualitative border conspicuity (high delta) is associated with shorter survival in patients with PDAC. Agreement on the subjective qualitative characterization of PDAC borders is best achieved using iodine MD and lower-energy simulated monoenergetic images at pancreatic protocol dual-energy CT.Keywords: Abdomen/GI, CT, CT-Dual Energy, CT-Quantitative, PancreasSupplemental material is available for this article.© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778722      PMCID: PMC7983668          DOI: 10.1148/rycan.2020190074

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  14 in total

1.  Transport Oncophysics in silico, in vitro, and in vivo. Preface.

Authors:  Eugene J Koay; Mauro Ferrari
Journal:  Phys Biol       Date:  2014-11-26       Impact factor: 2.583

2.  Transport properties of pancreatic cancer describe gemcitabine delivery and response.

Authors:  Eugene J Koay; Mark J Truty; Vittorio Cristini; Ryan M Thomas; Rong Chen; Deyali Chatterjee; Ya'an Kang; Priya R Bhosale; Eric P Tamm; Christopher H Crane; Milind Javle; Matthew H Katz; Vijaya N Gottumukkala; Marc A Rozner; Haifa Shen; Jeffery E Lee; Huamin Wang; Yuling Chen; William Plunkett; James L Abbruzzese; Robert A Wolff; Gauri R Varadhachary; Mauro Ferrari; Jason B Fleming
Journal:  J Clin Invest       Date:  2014-03-10       Impact factor: 14.808

3.  Pancreatic Adenocarcinoma, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Margaret A Tempero; Mokenge P Malafa; Mahmoud Al-Hawary; Horacio Asbun; Andrew Bain; Stephen W Behrman; Al B Benson; Ellen Binder; Dana B Cardin; Charles Cha; E Gabriela Chiorean; Vincent Chung; Brian Czito; Mary Dillhoff; Efrat Dotan; Cristina R Ferrone; Jeffrey Hardacre; William G Hawkins; Joseph Herman; Andrew H Ko; Srinadh Komanduri; Albert Koong; Noelle LoConte; Andrew M Lowy; Cassadie Moravek; Eric K Nakakura; Eileen M O'Reilly; Jorge Obando; Sushanth Reddy; Courtney Scaife; Sarah Thayer; Colin D Weekes; Robert A Wolff; Brian M Wolpin; Jennifer Burns; Susan Darlow
Journal:  J Natl Compr Canc Netw       Date:  2017-08       Impact factor: 11.908

4.  Multireader evaluation of lesion conspicuity in small pancreatic adenocarcinomas: complimentary value of iodine material density and low keV simulated monoenergetic images using multiphasic rapid kVp-switching dual energy CT.

Authors:  Michelle M McNamara; Mark D Little; Lauren F Alexander; L Van Carroll; T Mark Beasley; Desiree E Morgan
Journal:  Abdom Imaging       Date:  2015-06

5.  Intra-tumoral heterogeneity of gemcitabine delivery and mass transport in human pancreatic cancer.

Authors:  Eugene J Koay; Flavio E Baio; Alexander Ondari; Mark J Truty; Vittorio Cristini; Ryan M Thomas; Rong Chen; Deyali Chatterjee; Ya'an Kang; Joy Zhang; Laurence Court; Priya R Bhosale; Eric P Tamm; Aliya Qayyum; Christopher H Crane; Milind Javle; Matthew H Katz; Vijaya N Gottumukkala; Marc A Rozner; Haifa Shen; Jeffrey E Lee; Huamin Wang; Yuling Chen; William Plunkett; James L Abbruzzese; Robert A Wolff; Anirban Maitra; Mauro Ferrari; Gauri R Varadhachary; Jason B Fleming
Journal:  Phys Biol       Date:  2014-11-26       Impact factor: 2.583

6.  Dual-energy CT of pancreatic adenocarcinoma: reproducibility of primary tumor measurements and assessment of tumor conspicuity and margin sharpness.

Authors:  Shiva Gupta; Nicolaus Wagner-Bartak; Corey T Jensen; Anthony Hui; Wei Wei; Patrick Lertdilok; Aliya Qayyum; Eric P Tamm
Journal:  Abdom Radiol (NY)       Date:  2016-07

7.  Single-source dual-energy spectral multidetector CT of pancreatic adenocarcinoma: optimization of energy level viewing significantly increases lesion contrast.

Authors:  B N Patel; J V Thomas; M E Lockhart; L L Berland; D E Morgan
Journal:  Clin Radiol       Date:  2012-08-11       Impact factor: 2.350

8.  A Visually Apparent and Quantifiable CT Imaging Feature Identifies Biophysical Subtypes of Pancreatic Ductal Adenocarcinoma.

Authors:  Eugene J Koay; Yeonju Lee; Vittorio Cristini; John S Lowengrub; Ya'an Kang; F Anthony San Lucas; Brian P Hobbs; Rong Ye; Dalia Elganainy; Muayad Almahariq; Ahmed M Amer; Deyali Chatterjee; Huaming Yan; Peter C Park; Mayrim V Rios Perez; Dali Li; Naveen Garg; Kim A Reiss; Shun Yu; Anil Chauhan; Mohamed Zaid; Newsha Nikzad; Robert A Wolff; Milind Javle; Gauri R Varadhachary; Rachna T Shroff; Prajnan Das; Jeffrey E Lee; Mauro Ferrari; Anirban Maitra; Cullen M Taniguchi; Michael P Kim; Christopher H Crane; Matthew H Katz; Huamin Wang; Priya Bhosale; Eric P Tamm; Jason B Fleming
Journal:  Clin Cancer Res       Date:  2018-08-06       Impact factor: 12.531

Review 9.  Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT.

Authors:  Satomi Kawamoto; Matthew K Fuld; Daniel Laheru; Peng Huang; Elliot K Fishman
Journal:  Abdom Radiol (NY)       Date:  2018-02

10.  Vascular permeability and drug delivery in cancers.

Authors:  Sandy Azzi; Jagoda K Hebda; Julie Gavard
Journal:  Front Oncol       Date:  2013-08-15       Impact factor: 6.244

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1.  Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort.

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Journal:  Sci Rep       Date:  2021-04-26       Impact factor: 4.379

2.  Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans.

Authors:  Usman Mahmood; David D B Bates; Yusuf E Erdi; Lorenzo Mannelli; Giuseppe Corrias; Christopher Kanan
Journal:  Diagnostics (Basel)       Date:  2022-03-10
  2 in total

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