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Open AccessJournal ArticleDOI

From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors

TLDR
Qualitative and quantitative approaches to 18F-FDG PET response assessment have been applied and require a consistent PET methodology to allow quantitative assessments and the proposed PERCIST 1.0 criteria should serve as a starting point for use in clinical trials and in structured quantitative clinical reporting.
Abstract
The purpose of this article is to review the status and limitations of anatomic tumor response metrics including the World Health Organization (WHO) criteria, the Response Evaluation Criteria in Solid Tumors (RECIST), and RECIST 1.1. This article also reviews qualitative and quantitative approaches to metabolic tumor response assessment with 18 F-FDG PET and proposes a draft framework for PET Response Criteria in Solid Tumors (PERCIST), version 1.0. Methods: PubMed searches, including searches for the terms RECIST, positron, WHO, FDG, cancer (including specific types), treatment response, region of interest, and derivative references, were performed. Abstracts and articles judged most relevant to the goals of this report were reviewed with emphasis on limitations and strengths of the anatomic and PET approaches to treatment response assessment. On the basis of these data and the authors’ experience, draft criteria were formulated for PET tumor response to treatment. Results: Approximately 3,000 potentially relevant references were screened. Anatomic imaging alone using standard WHO, RECIST, and RECIST 1.1 criteria is widely applied but still has

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3D Slicer as an image computing platform for the Quantitative Imaging Network.

TL;DR: An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated.
Journal ArticleDOI

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Alex Zwanenburg, +70 more
- 01 May 2020 - 
TL;DR: A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software and could be excellently reproduced.
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Journal ArticleDOI

New Guidelines to Evaluate the Response to Treatment in Solid Tumors

TL;DR: A model by which a combined assessment of all existing lesions, characterized by target lesions and nontarget lesions, is used to extrapolate an overall response to treatment is proposed, which is largely validated by the Response Evaluation Criteria in Solid Tumors Group and integrated into the present guidelines.
Journal ArticleDOI

Reporting results of cancer treatment.

TL;DR: Recommendations have been developed for standardized approaches to the recording of baseline data relating to the patient, the tumor, laboratory and radiologic data, the reporting of treatment, grading of acute and subacute toxicity, reporting of response, recurrence and disease‐free interval, and reporting results of therapy.
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