Literature DB >> 24108562

Assessment of liver tumor response to therapy: role of quantitative imaging.

Fernanda D Gonzalez-Guindalini1, Marcos P F Botelho, Carla B Harmath, Kumaresan Sandrasegaran, Frank H Miller, Riad Salem, Vahid Yaghmai.   

Abstract

Quantitative imaging is the analysis of retrieved numeric data from images with the goal of reducing subjective assessment. It is an increasingly important radiologic tool to assess treatment response in oncology patients. Quantification of response to therapy depends on the tumor type and method of treatment. Anatomic imaging biomarkers that quantify liver tumor response to cytotoxic therapy are based on temporal change in the size of the tumors. Anatomic biomarkers have been incorporated into the World Health Organization criteria and the Response Evaluation Criteria in Solid Tumors (RECIST) versions 1.0 and 1.1. However, the development of novel therapies with different mechanisms of action, such as antiangiogenesis or radioembolization, has required new methods for measuring response to therapy. This need has led to development of tumor- or therapy-specific guidelines such as the Modified CT Response Evaluation (Choi) Criteria for gastrointestinal stromal tumors, the European Association for Study of the Liver (EASL) criteria, and modified RECIST for hepatocellular carcinoma, among many others. The authors review the current quantification criteria used in the evaluation of treatment response in liver tumors, summarizing their indications, advantages, and disadvantages, and discuss future directions with newer methods that have the potential for assessment of treatment response. Knowledge of these quantitative methods is important to facilitate pivotal communication between oncologists and radiologists about cancer treatment, with benefit ultimately accruing to the patient.

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Year:  2013        PMID: 24108562     DOI: 10.1148/rg.336135511

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  40 in total

1.  Which Criteria Applied in Multi-Phasic CT Can Predict Early Tumor Response in Patients with Hepatocellular Carcinoma Treated Using Conventional TACE: RECIST, mRECIST, EASL or qEASL?

Authors:  Yan Zhao; Rafael Duran; Wei Bai; Sonia Sahu; Wenjun Wang; Sven Kabus; MingDe Lin; Guohong Han; Jean-François Geschwind
Journal:  Cardiovasc Intervent Radiol       Date:  2017-10-30       Impact factor: 2.740

2.  Evaluation of Hepatocellular Carcinoma Transarterial Chemoembolization using Quantitative Analysis of 2D and 3D Real-time Contrast Enhanced Ultrasound.

Authors:  Kibo Nam; Maria Stanczak; Andrej Lyshchik; Priscilla Machado; Yuko Kono; Flemming Forsberg; Colette M Shaw; John R Eisenbrey
Journal:  Biomed Phys Eng Express       Date:  2018-04-18

3.  Radiologic-pathologic analysis of contrast-enhanced and diffusion-weighted MR imaging in patients with HCC after TACE: diagnostic accuracy of 3D quantitative image analysis.

Authors:  Julius Chapiro; Laura D Wood; MingDe Lin; Rafael Duran; Toby Cornish; David Lesage; Vivek Charu; Rüdiger Schernthaner; Zhijun Wang; Vania Tacher; Lynn Jeanette Savic; Ihab R Kamel; Jean-François Geschwind
Journal:  Radiology       Date:  2014-07-15       Impact factor: 11.105

Review 4.  Systematic review of catheter-based intra-arterial therapies in hepatocellular carcinoma: state of the art and future directions.

Authors:  R Duran; J Chapiro; R E Schernthaner; J-F H Geschwind
Journal:  Br J Radiol       Date:  2015-05-15       Impact factor: 3.039

5.  Early survival prediction after intra-arterial therapies: a 3D quantitative MRI assessment of tumour response after TACE or radioembolization of colorectal cancer metastases to the liver.

Authors:  Julius Chapiro; Rafael Duran; MingDe Lin; Rüdiger Schernthaner; David Lesage; Zhijun Wang; Lynn Jeanette Savic; Jean-François Geschwind
Journal:  Eur Radiol       Date:  2015-01-31       Impact factor: 5.315

6.  Evaluation of Magnetic Resonance (MR) Biomarkers for Assessment of Response With Response Evaluation Criteria in Solid Tumors: Comparison of the Measurements of Neuroendocrine Tumor Liver Metastases (NETLM) With Various MR Sequences and at Multiple Phases of Contrast Administration.

Authors:  Gustavo Felipe Luersen; W Wei; Eric P Tamm; Priya R Bhosale; Janio Szklaruk
Journal:  J Comput Assist Tomogr       Date:  2016 Sep-Oct       Impact factor: 1.826

Review 7.  The role of interventional radiology in the treatment of intrahepatic cholangiocarcinoma.

Authors:  Anna Maria Ierardi; Salvatore Alessio Angileri; Francesca Patella; Silvia Panella; Natalie Lucchina; Elena N Petre; Antonio Pinto; Giuseppe Franceschelli; Gianpaolo Carrafiello; Gianpaolo Cornalba; Constantinos T Sofocleous
Journal:  Med Oncol       Date:  2016-12-22       Impact factor: 3.064

8.  Assessment of the response of hepatocellular carcinoma to interventional radiology treatments.

Authors:  Francesca Patella; Filippo Pesapane; Enrico Fumarola; Stefania Zannoni; Pietro Brambillasca; Ilaria Emili; Guido Costa; Victoria Anderson; Elliot B Levy; Gianpaolo Carrafiello; Bradford J Wood
Journal:  Future Oncol       Date:  2019-05-02       Impact factor: 3.404

9.  Yttrium-90 radioembolization treatment for unresectable hepatocellular carcinoma: a single-centre prognostic factors analysis.

Authors:  C Floridi; F Pesapane; S A Angileri; D De Palma; F Fontana; F Caspani; A Barile; A Del Sole; C Masciocchi; G Lucignani; G Carrafiello
Journal:  Med Oncol       Date:  2017-09-05       Impact factor: 3.064

10.  An observational study to justify and plan a future phase III randomized controlled trial of metformin in improving overall survival in patients with inoperable pancreatic cancer without liver metastases.

Authors:  Philip J Broadhurst; Andrew R Hart
Journal:  J Cancer Res Clin Oncol       Date:  2020-03-10       Impact factor: 4.553

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