Literature DB >> 29243123

Response assessment in pancreatic ductal adenocarcinoma: role of imaging.

Vinit Baliyan1, Hamed Kordbacheh1, Anushri Parakh1, Avinash Kambadakone2.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive gastrointestinal (GI) malignancy with poor 5-year survival rate. Advances in surgical techniques and introduction of novel combination chemotherapy and radiation therapy regimens have necessitated the need for biomarkers for assessment of treatment response. Conventional imaging methods such as RECIST have been used for response evaluation in clinical trials particularly in patients with metastatic PDAC. However, the role of these approaches for assessing response to loco-regional and systemic therapies is limited due to complex morphological and histological nature of PDAC. Determination of tumor resectability after neoadjuvant therapy remains a challenge. This review article provides an overview of the challenges and limitations of response assessment in PDAC and reviews the current evidence for the utility of novel morphological and functional imaging tools in this disease.

Entities:  

Keywords:  CT; MRI; Pancreatic cancer; RECIST

Mesh:

Year:  2018        PMID: 29243123     DOI: 10.1007/s00261-017-1434-7

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  9 in total

1.  Role of 3D Volumetric and Perfusion Imaging for Detecting Early Changes in Pancreatic Adenocarcinoma.

Authors:  Syed Rahmanuddin; Ronald Korn; Derek Cridebring; Erkut Borazanci; Jordyn Brase; William Boswell; Asma Jamil; Wenli Cai; Aqsa Sabir; Pejman Motarjem; Eugene Koay; Anirban Mitra; Ajay Goel; Joyce Ho; Vincent Chung; Daniel D Von Hoff
Journal:  Front Oncol       Date:  2021-09-08       Impact factor: 5.738

Review 2.  Emerging Role for 7T MRI and Metabolic Imaging for Pancreatic and Liver Cancer.

Authors:  Debra Rivera
Journal:  Metabolites       Date:  2022-04-30

3.  Fibrotic Response to Neoadjuvant Therapy Predicts Survival in Pancreatic Cancer and Is Measurable with Collagen-Targeted Molecular MRI.

Authors:  Derek J Erstad; Mozhdeh Sojoodi; Martin S Taylor; Veronica Clavijo Jordan; Kenneth K Tanabe; Peter Caravan; Bryan C Fuchs; Christian T Farrar; Andrea L Axtell; Nicholas J Rotile; Chloe Jones; Katherine A Graham-O'Regan; Diego S Ferreira; Theodoros Michelakos; Filippos Kontos; Akhil Chawla; Shen Li; Sarani Ghoshal; Yin-Ching Iris Chen; Gunisha Arora; Valerie Humblet; Vikram Deshpande; Motaz Qadan; Nabeel Bardeesy; Cristina R Ferrone; Michael Lanuti
Journal:  Clin Cancer Res       Date:  2020-07-01       Impact factor: 12.531

Review 4.  The Role of Imaging in Current Treatment Strategies for Pancreatic Adenocarcinoma.

Authors:  Hyungjin Rhee; Mi Suk Park
Journal:  Korean J Radiol       Date:  2020-08-28       Impact factor: 3.500

Review 5.  Overview and Future Perspectives on Tumor-Targeted Positron Emission Tomography and Fluorescence Imaging of Pancreatic Cancer in the Era of Neoadjuvant Therapy.

Authors:  Martijn A van Dam; Floris A Vuijk; Judith A Stibbe; Ruben D Houvast; Saskia A C Luelmo; Stijn Crobach; Shirin Shahbazi Feshtali; Lioe-Fee de Geus-Oei; Bert A Bonsing; Cornelis F M Sier; Peter J K Kuppen; Rutger-Jan Swijnenburg; Albert D Windhorst; Jacobus Burggraaf; Alexander L Vahrmeijer; J Sven D Mieog
Journal:  Cancers (Basel)       Date:  2021-12-02       Impact factor: 6.639

6.  The Association of Real-World CA 19-9 Level Monitoring Patterns and Clinical Outcomes Among Patients With Metastatic Pancreatic Ductal Adenocarcinoma.

Authors:  Ben George; Matthew Kent; Andy Surinach; Neil Lamarre; Paul Cockrum
Journal:  Front Oncol       Date:  2021-10-04       Impact factor: 6.244

7.  Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors.

Authors:  Tahereh Mahmoudi; Zahra Mousavi Kouzahkanan; Amir Reza Radmard; Raheleh Kafieh; Aneseh Salehnia; Amir H Davarpanah; Hossein Arabalibeik; Alireza Ahmadian
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

Review 8.  Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging.

Authors:  Megan Schuurmans; Natália Alves; Pierpaolo Vendittelli; Henkjan Huisman; John Hermans
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

Review 9.  Imaging diagnosis and staging of pancreatic ductal adenocarcinoma: a comprehensive review.

Authors:  Khaled Y Elbanna; Hyun-Jung Jang; Tae Kyoung Kim
Journal:  Insights Imaging       Date:  2020-04-25
  9 in total

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