Evidence map›Paper›PMID 22935164›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2012

Blind spots at oncological CT: lessons learned from PET/CT.

Jacob Sosna, Steven J Esses, Nikolay Yeframov, Hanna Bernstine, Tamar Sella, Shifra Fraifeld, Jonathan B Kruskal, David Groshar

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 8 institutions in 2 countries.

Jacob SosnaDepartment of Radiology, Hadassah Hebrew University Medical Center, Jerusalem, Israel. jacobs@hadassah.org.il
Steven J Esses
Nikolay Yeframov
Hanna Bernstine
Tamar Sella
Shifra Fraifeld
Jonathan B Kruskal
David Groshar
Assuta Medical Center · ILBeth Israel Deaconess Medical Center · USHadassah Medical Center · ILHarvard University · USHebrew University of Jerusalem · ILIcahn School of Medicine at Mount Sinai · USMount Sinai Beth Israel · USRabin Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved accuracy in oncological computed tomography (CT) could lead to a decrease in morbidity and improved survival for oncology patients. Visualization of metabolic activity using the glucose analogue [(18)F]fluorodeoxyglucose (FDG) in combination with the high anatomic resolution of CT in an integrated positron emission tomography (PET)/CT examination has the highest sensitivity and specificity for the detection of primary and metastatic lesions. However, PET/CT costs are high and patient access is limited; thus CT remains the primary imaging modality in oncology patients. We have noted that subtle lesions are more easily detected on CT by radiologists with PET/CT experience. We aimed to provide a brief review of the literature with comparisons of multi-detector computed tomography (MDCT) and PET/CT in primary and metastatic disease with an emphasis on findings that may be overlooked on MDCT in cancer of the breast, lung, colon, and ovaries, and in melanoma, as well as thrombosis in oncology patients. We further reviewed our experience for illustrative comparisons of PET/CT and MDCT studies. Experience in interpreting conventional CT scans alongside PET/CT can help the reader develop an appreciation for the subtle appearance of some lesions on CT that might otherwise be missed. This could improve detection rates, reduce errors, and improve patient management.

Indexed as

Positron-Emission TomographyBreast NeoplasmsColonic NeoplasmsFemaleHumansLung NeoplasmsMaleMelanomaMultimodal ImagingNeoplasmsOvarian NeoplasmsTomography, X-Ray Computed

Identifiers

PMID22935164
PMCPMC3458785
OpenAlexW2023538713

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.