Tumor metrics imaging core labs: primer for radiologists

Imaging biomarkers have emerged as increasingly important endpoints in cancer clinical trials. Incorporating tumor metric reads as part of routine clinical reads by on-site radiologists for cancer clinical trials has several challenges which can be addressed by tumor metrics imaging core lab. Despite the operational and financial challenges inherent in establishing and maintaining tumor metrics imaging core labs, including workflow complexities, infrastructure demands, and data security considerations, these facilities confer significant advantages including accelerated trial timelines, improved regulatory compliance, and the creation of interdisciplinary research environments. Moreover, the integration of artificial intelligence within tumor metrics imaging core labs offers enhanced image analysis, predictive modeling, and improved trial efficiency. This article provides a comprehensive review of the role of tumor metrics imaging core labs in clinical trials and provides an overview of the key components involved in setting up a core lab. We will also briefly present the challenges in the successful operation of a tumor metrics imaging core lab and delve into the potential solutions, including the integration of AI tools for clinical trials.

Authors

Institutions

Publication Details

Journal
Abdominal Radiology
Published
2026-03-03
DOI
https://doi.org/10.1007/s00261-026-05439-8
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tumor metrics imaging core labs: primer for radiologists

Sree Harsha Tirumani, Anil Chauhan, Rachana Gurudu, Dhruv Bansal
Abdominal Radiology
Radiomics and Machine Learning in Medical Imaging
article

Tumor metrics imaging core labs: primer for radiologists

Sree Harsha Tirumani, Anil Chauhan, Rachana Gurudu, Dhruv Bansal
article en

Abstract

Imaging biomarkers have emerged as increasingly important endpoints in cancer clinical trials. Incorporating tumor metric reads as part of routine clinical reads by on-site radiologists for cancer clinical trials has several challenges which can be addressed by tumor metrics imaging core lab. Despite the operational and financial challenges inherent in establishing and maintaining tumor metrics imaging core labs, including workflow complexities, infrastructure demands, and data security considerations, these facilities confer significant advantages including accelerated trial timelines, improved regulatory compliance, and the creation of interdisciplinary research environments. Moreover, the integration of artificial intelligence within tumor metrics imaging core labs offers enhanced image analysis, predictive modeling, and improved trial efficiency. This article provides a comprehensive review of the role of tumor metrics imaging core labs in clinical trials and provides an overview of the key components involved in setting up a core lab. We will also briefly present the challenges in the successful operation of a tumor metrics imaging core lab and delve into the potential solutions, including the integration of AI tools for clinical trials.

Abdominal Radiology
University Hospitals of Cleveland (US), Endeavor Charter School (US), University of Kansas Medical Center (US), Case Western Reserve University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tumor metrics imaging core labs: primer for radiologists — Sree Harsha Tirumani, Anil Chauhan, et al. · Abdominal Radiology (2026) | TGRS Research Map | TGRS