Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 160

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Molecular Imaging: The Vision and Opportunity for Radiology in the Future

Hoffman, John M., Gambhir, Sanjiv S.·2007·Radiology

Abstract

Molecular imaging is being hailed as the next great advance for imaging. This introductory article in the molecular imaging series to be published over the next several months in Radiology sets the stage for the subsequent set of articles by providing relevant definitions and background information and traces the evolution of molecular imaging to its current state of research and clinical practice. It discusses in detail the evolution of molecular imaging and the role that the National Cancer Institute and the National Institutes of Health have had in the funding and development of many of the important molecular imaging research programs that are in existence today. The article also provides basic information about the complex biology of the cell and details of the pathogenesis of cancer and how molecular imaging will be critical for earlier detection and management of cancer in the future. The article lays the foundation for the subsequent articles in the series and describes how and why molecular imaging will be critical and integral for clinical care of patients in the future. The introductory article also discusses the relevance of molecular imaging to clinical radiology practice and why it is critical for the practicing radiologist to understand these evolving techniques, as they will be the future of imaging.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1148/radiol.2441060773

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 160

Metadata

Authors
Hoffman, J. M., & Gambhir, S. S.
Venue
Radiology
Published
2007-07
Volume
244
Issue
1
Pages
39-47
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2100610572
Cited by
160
References
1
FWCI
10.03
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Molecular Imaging: The Vision and Opportunity for Radiology in the Future. https://app.cochat.ai/papers/10.1148/radiol.2441060773
The paper
Hoffman, J. M., & Gambhir, S. S. (2007). Molecular Imaging: The Vision and Opportunity for Radiology in the Future. Radiology. https://doi.org/10.1148/radiol.2441060773

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.