Evidence map›Paper›PMID 33092274›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Improved Diagnostic Accuracy of Bone Metastasis Detection by Water-HAP Associated to Non-contrast CT.

Yoshinobu Ishiwata, Yojiro Hieda, Soichiro Kaki, Shinjiro Aso, Keiichi Horie, Yusuke Kobayashi, Motoki Nakamura, Kazuhiko Yamada, Tsuneo Yamashiro, Daisuke Utsunomiya

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Yoshinobu IshiwataDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ward, Yokohama City 2360004, Japan.ORCID 0000-0002-9425-0582
Yojiro HiedaDepartment of Radiology, Odawara Municipal Hospital, 46 Kuno, Odawara City 2508558, Japan.
Soichiro KakiDepartment of Radiology, Odawara Municipal Hospital, 46 Kuno, Odawara City 2508558, Japan.
Shinjiro AsoDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ward, Yokohama City 2360004, Japan.
Keiichi HorieDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ward, Yokohama City 2360004, Japan.
Yusuke KobayashiDepartment of Radiology, Yokohama City University Medical Center, 4-57 Urafune, Minami-ward, Yokohama City 2320024, Japan.
Motoki NakamuraDepartment of Radiology, Yokohama City University Medical Center, 4-57 Urafune, Minami-ward, Yokohama City 2320024, Japan.
Kazuhiko YamadaDepartment of Radiology, Odawara Municipal Hospital, 46 Kuno, Odawara City 2508558, Japan.
Tsuneo YamashiroDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ward, Yokohama City 2360004, Japan.ORCID 0000-0002-1904-2548
Daisuke UtsunomiyaDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ward, Yokohama City 2360004, Japan.
Yokohama City University Hospital · JPOdawara Municipal Hospital · JPYokohama City University Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined whether water-hydroxyapatite (HAP) images improve the diagnostic accuracy of bone metastasis compared with non-contrast CT alone. We retrospectively evaluated dual-energy computed tomography (DECT) images of 83 cancer patients (bone metastasis, 31; without bone metastasis, 52) from May 2018 to June 2019. Initially, two evaluators examined for bone metastasis on conventional CT images. In the second session, both CT and CT images plus water-HAP images on DECT. The confidence of bone metastasis was scored from 1 (benign) to 5 (malignant). The sensitivity, specificity, positive predictive values, and negative predictive values for both modalities were calculated based on true positive and negative findings. The intra-observer area under curve (AUC) for detecting bone metastasis was compared by receiver operating characteristic analysis. Kappa coefficient calculated the inter-observer agreement. In conventional CT images, sensitivity, specificity, positive predictive value, and negative predictive value of raters 1 and 2 for the identification of bone metastases were 0.742 and 0.710, 0.981 and 0.981, 0.958 and 0.957, and 0.864 and 0.850, respectively. In water-HAP, they were 1.00 and 1.00, 0.981 and 1.00, 0.969 and 1.00, and 1.00 and 1.00, respectively. In CT, AUCs were 0.861 and 0.845 in each observer. On water-HAP images, AUCs were 0.990 and 1.00. Kappa coefficient was 0.964 for CT and 0.976 for water-HAP images. The combination of CT and water-HAP images significantly increased diagnostic accuracy for detecting bone metastasis. Water-HAP images on DECT may enable accurate initial staging, reduced radiation exposure, and cost.

Indexed as

bone marrowbone neoplasmscone-beam computed tomographydual-energy scanned projection radiographyneoplasm metastasis

Identifiers

PMID33092274
PMCPMC7589875
OpenAlexW3093807633

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Registered trials

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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.