Literature DB >> 27786547

Imaging for Oncologic Response Assessment in Lymphoma.

Naveen M Kulkarni1, Daniella F Pinho2, Srikala Narayanan3, Avinash R Kambadakone4, Jeremy S Abramson5, Dushyant V Sahani4.   

Abstract

OBJECTIVE: The purpose of this article is to examine the role of different imaging biomarkers, focusing in particular on the use of updated CT and PET response criteria for the assessment of oncologic treatment effectiveness in patients with lymphoma but also discussing other potential functional imaging methods and their limitations.
CONCLUSION: Lymph nodes are commonly involved by metastatic solid tumors as well as by lymphoma. Evolving changes in cancer therapy for lymphoma and metastases have led to improved clinical outcomes. Imaging is a recognized surrogate endpoint that uses established criteria based on changes in tumor bulk to monitor the effects of treatment. With the introduction of targeted therapies and novel antiangiogenic drugs, the oncologic expectations from imaging assessment are changing to move beyond simple morphologic methods. Molecular and functional imaging methods (e.g., PET, perfusion, DWI, and dual-energy CT) are therefore being investigated as imaging biomarkers of response and prognosis. The role of these advanced imaging biomarkers extends beyond measuring tumor burden and therefore might offer insight into early predictors of therapeutic response. Despite the potential benefits of these exciting imaging biomarkers, several challenges currently exist.

Entities:  

Keywords:  DWI; International Working Group criteria; Lugano criteria; PET; lymphoma

Mesh:

Year:  2016        PMID: 27786547     DOI: 10.2214/AJR.16.16180

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  The role of Imaging and Radiation Oncology Core for precision medicine era of clinical trial.

Authors:  Ying Xiao; Mark Rosen
Journal:  Transl Lung Cancer Res       Date:  2017-12

2.  The characteristic computed tomography findings of pulmonary B-cell non-Hodgkin's lymphoma and their role in predicting patient survival.

Authors:  Yan Wang; Zhao-Cheng Pan; Lan Zhu; Yuan-Yuan Ma; Mu-Chen Zhang; Li Wang; Wei-Li Zhao; Fu-Hua Yan; Qi Song
Journal:  Quant Imaging Med Surg       Date:  2021-02

Review 3.  Spectrum of imaging findings in AIDS-related diffuse large B cell lymphoma.

Authors:  Edward Chege Nganga; Samuel Gitau
Journal:  Insights Imaging       Date:  2020-05-19

4.  Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin's Lymphoma Using a Whole-Body DW-MRI Based Approach.

Authors:  Valentina Brancato; Marco Aiello; Roberta Della Pepa; Luca Basso; Nunzia Garbino; Emanuele Nicolai; Marco Picardi; Marco Salvatore; Carlo Cavaliere
Journal:  Diagnostics (Basel)       Date:  2020-09-16

5.  Inter-observer variability influences the Lugano classification when restaging lymphoma.

Authors:  Jacobus Möller; Tiaan Steyn; Nantes Combrinck; Gina Joubert; Alicia Sherriff; Jacques Janse van Rensburg
Journal:  SA J Radiol       Date:  2018-07-31

Review 6.  Clinical Perspectives for 18F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics.

Authors:  Vassiliki Lyra; Sofia Chatziioannou; Maria Kallergi
Journal:  Metabolites       Date:  2022-02-28
  6 in total

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