Evidence map›Paper›PMID 36059429›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2022

Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study.

Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward J Miller, Albert J Sinusas, Chi Liu, Grant T Gullberg, Youngho Seo

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
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

9 authors at 1 institution in 1 country.

Mahsa TorkamanRadiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA.
Jaewon YangRadiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA.
Luyao ShiBiomedical Engineering Department, Yale University, New Haven, CT, USA.
Rui WangRadiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.
Edward J MillerRadiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.
Albert J SinusasBiomedical Engineering Department, Yale University, New Haven, CT, USA; Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.
Chi LiuBiomedical Engineering Department, Yale University, New Haven, CT, USA; Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA.
Grant T GullbergRadiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA.
Youngho SeoRadiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Low-dose SPECT/CT for imaging chemotherapy-induced microvascular cardiotoxicityR01HL123949 · NHLBI · YALE UNIVERSITY · PI LIU, CHI · 2014 to 2018
$3.2M
Energy-independent single photon molecular imaging technologyR01EB026331 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CUI, YONGGANG, SEO, YOUNGHO · 2018 to 2022
$2.6M
Dynamic cardiac SPECTR01HL135490 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GULLBERG, GRANT T, SEO, YOUNGHO · 2017 to 2020
$2.4M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL123949NHLBI NIH HHS R01 HL135490NIBIB NIH HHS R01 EB026331
6 · The paper itself

Abstract

Attenuation correction (AC) is important for accurate interpretation of SPECT myocardial perfusion imaging (MPI). However, it is challenging to perform AC in dedicated cardiac systems not equipped with a transmission imaging capability. Previously, we demonstrated the feasibility of generating attenuation-corrected SPECT images using a deep learning technique (SPECT

Indexed as

Attenuation correctionDeep learningHierarchical clusteringMyocardial perfusion imaging (MPI)Performance variabilitySPECTt-SNEWasserstein cycle GAN

Identifiers

PMID36059429
PMCPMC9438341
OpenAlexW4205414388

What OpenQuestion holds

Textmetadata
LicenceTDM
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.