Evidence map›Paper›PMID 26020436›Full record

Observational studyRadiology2015

Observer Performance in the Detection and Classification of Malignant Hepatic Nodules and Masses with CT Image-Space Denoising and Iterative Reconstruction.

Joel G Fletcher, Lifeng Yu, Zhoubo Li, Armando Manduca, Daniel J Blezek, David M Hough, Sudhakar K Venkatesh, Gregory C Brickner, Joseph C Cernigliaro, Amy K Hara and 9 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  19. Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
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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

19 authors.

Joel G FletcherFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Lifeng YuFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Zhoubo LiFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Armando ManducaFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Daniel J BlezekFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
David M HoughFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Sudhakar K VenkateshFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Gregory C BricknerFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Joseph C CernigliaroFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Amy K HaraFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Jeff L FidlerFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
David S LakeFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Maria ShiungFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
David LewisFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Shuai LengFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Kurt E AugustineFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Rickey E CarterFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
David R HolmesFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).
Cynthia H McColloughFrom the Departments of Radiology (J.G.F., L.Y., Z.L., D.M.H., S.K.V., J.L.F., M.S., D.L., S.L., C.H.M.), Physiology and Biomedical Engineering (A.M., D.S.L., K.E.A., D.R.H.), Information Technology (D.J.B.), and Biomedical Statistics and Informatics (R.E.C.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Radiology, Mayo Clinic, Eau Claire, Wis (G.C.B.); Department of Radiology, Mayo Clinic, Jacksonville, Fla (J.C.C.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (A.K.H.).

Funding

Trade-offs in human observer performance, image quality metrics, and patient doseR01EB017095 · NIBIB · MAYO CLINIC ROCHESTER · PI Hao Gong, Cynthia H McCollough · 2012 to 2026
$7.0M
Critical resources to evaluate CT scan techniques and dose reduction approachesU01EB017185 · NIBIB · MAYO CLINIC ROCHESTER · PI MCCOLLOUGH, CYNTHIA H · 2013 to 2016
$3.6M
NIBIB NIH HHS R01 EB017095NIBIB NIH HHS U01 EB017185
6 · The paper itself

Abstract

purposeTo determine if lower-dose computed tomographic (CT) scans obtained with adaptive image-based noise reduction (adaptive nonlocal means [ANLM]) or iterative reconstruction (sinogram-affirmed iterative reconstruction [SAFIRE]) result in reduced observer performance in the detection of malignant hepatic nodules and masses compared with routine-dose scans obtained with filtered back projection (FBP). MATERIALS AND

methodsThis study was approved by the institutional review board and was compliant with HIPAA. Informed consent was obtained from patients for the retrospective use of medical records for research purposes. CT projection data from 33 abdominal and 27 liver or pancreas CT examinations were collected (median volume CT dose index, 13.8 and 24.0 mGy, respectively). Hepatic malignancy was defined by progression or regression or with histopathologic findings. Lower-dose data were created by using a validated noise insertion method (10.4 mGy for abdominal CT and 14.6 mGy for liver or pancreas CT) and images reconstructed with FBP, ANLM, and SAFIRE. Four readers evaluated routine-dose FBP images and all lower-dose images, circumscribing liver lesions and selecting diagnosis. The jackknife free-response receiver operating characteristic figure of merit (FOM) was calculated on a per-malignant nodule or per-mass basis. Noninferiority was defined by the lower limit of the 95% confidence interval (CI) of the difference between lower-dose and routine-dose FOMs being less than -0.10.

resultsTwenty-nine patients had 62 malignant hepatic nodules and masses. Estimated FOM differences between lower-dose FBP and lower-dose ANLM versus routine-dose FBP were noninferior (difference: -0.041 [95% CI: -0.090, 0.009] and -0.003 [95% CI: -0.052, 0.047], respectively). In patients with dedicated liver scans, lower-dose ANLM images were noninferior (difference: +0.015 [95% CI: -0.077, 0.106]), whereas lower-dose FBP images were not (difference -0.049 [95% CI: -0.140, 0.043]). In 37 patients with SAFIRE reconstructions, the three lower-dose alternatives were found to be noninferior to the routine-dose FBP.

conclusionAt moderate levels of dose reduction, lower-dose FBP images without ANLM or SAFIRE were noninferior to routine-dose images for abdominal CT but not for liver or pancreas CT.

Indexed as

Image Processing, Computer-AssistedAdultAgedAged, 80 and overFemaleHumansLiver NeoplasmsMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID26020436
PMCPMC4514571

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