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Target Lesion Selection

Published:2014-08 Issue:8 Volume:49 Page:509-517
ISSN:0020-9996
Container-title:Investigative Radiology
language:en
Short-container-title:Investigative Radiology

Author:

Keil Sebastian,Barabasch Alexandra,Dirrichs Timm,Bruners Philipp,Hansen Nienke Lynn,Bieling Heribert B.,Brümmendorf Tim H.,Kuhl Christiane K.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Reference32 articles.

1. Body CT and Oncologic Imaging

2. Colorectal Liver Metastases: CT, MR Imaging, and PET for Diagnosis—Meta-analysis

3. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

4. CT Tumor Measurement for Therapeutic Response Assessment: Comparison of Unidimensional, Bidimensional, and Volumetric Techniques—Initial Observations

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1. RECIST 1.1 assessments variability: a systematic pictorial review of blinded double reads;Insights into Imaging;2024-08-07

2. Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation;European Journal of Radiology Open;2024-06

3. Tumor Response Evaluation Using iRECIST: Feasibility and Reliability of Manual Versus Software-Assisted Assessments;Cancers;2024-02-29

4. RC48-ADC treatment for patients with HER2-expressing locally advanced or metastatic solid tumors: a real-world study;BMC Cancer;2023-11-09

5. How Does Target Lesion Selection Affect RECIST? A Computer Simulation Study;Investigative Radiology;2023-11-03

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