Evidence map›Paper›PMID 34350405›Full record

ArticleRadiology. Artificial intelligence2021

Classification of Myocardial

Nicholas Josselyn, Matthew T MacLean, Christopher Jean, Ben Fuchs, Brianna F Moon, Eileen Hwuang, Srikant Kamesh Iyer, Harold Litt, Yuchi Han, Fatemeh Kaghazchi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Nicholas JosselynDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Matthew T MacLeanDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Christopher JeanDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Ben FuchsDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0002-5346-7195
Brianna F MoonDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0003-0642-0551
Eileen HwuangDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0002-7376-2810
Srikant Kamesh IyerDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Harold LittDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0003-2394-6053
Yuchi HanDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0001-7582-1848
Fatemeh KaghazchiDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Paco E BravoDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.
Walter R WitscheyDepartments of Radiology (N.J., M.T.M., C.J., B.F., H.L., Y.H., F.K., P.E.B., W.R.W.), Bioengineering (B.F.M., E.H., S.K.I.), and Medicine (Y.H., P.B.), Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, South Pavilion, Room 11-155, Philadelphia, PA 19104.ORCID https://orcid.org/0000-0003-1669-2120

Funding

Training Program in Biomedical Imaging and Information SciencesT32EB009384 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GEE, JAMES C, IVES, ZACHARY · 2009 to 2023
$4.0M
NIBIB NIH HHS T32 EB009384
6 · The paper itself

Abstract

purposeTo perform automated myocardial segmentation and uptake classification from whole-body fluorine 18 fluorodeoxyglucose (FDG) PET. MATERIALS AND

methodsIn this retrospective study, consecutive patients who underwent FDG PET imaging for oncologic indications were included (July-August 2018). The left ventricle (LV) on whole-body FDG PET images was manually segmented and classified as showing no myocardial uptake, diffuse uptake, or partial uptake. A total of 609 patients (mean age, 64 years ± 14 [standard deviation]; 309 women) were included and split between training (60%, 365 patients), validation (20%, 122 patients), and testing (20%, 122 patients) datasets. Two sequential neural networks were developed to automatically segment the LV and classify the myocardial uptake pattern using segmentation and classification training data provided by human experts. Linear regression was performed to correlate findings from human experts and deep learning. Classification performance was evaluated using receiver operating characteristic (ROC) analysis.

resultsThere was moderate agreement of uptake pattern between experts and deep learning (as a fraction of correctly categorized images) with 78% (36 of 46) for no uptake, 71% (34 of 48) for diffuse uptake, and 71% (20 of 28) for partial uptake. There was no bias in LV volume for partial or diffuse uptake categories

conclusionDeep learning was able to segment and classify myocardial uptake patterns on FDG PET images.

Indexed as

Computer Aided DiagnosisComputer Application-Detection/DiagnosisHeartPET

Identifiers

PMID34350405
PMCPMC8328107

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