Evidence map›Paper›PMID 41460439›Full record

ArticleAnnals of nuclear medicine2026

Software-based de-filtering restores quantitative accuracy in Clarity2D-enhanced whole-body bone scintigraphy.

Naoto Mochizuki, Tadashi Hara, Masaki Masubuchi, Kanna Furuya, Taichi Nakamura, Zhixiang Wu, Akemi Iwasaka, Shingo Hashimoto, Tsukasa Saida, Takahito Nakajima

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of nuclear medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Naoto MochizukiDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Tadashi HaraDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Masaki MasubuchiDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Kanna FuruyaDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Taichi NakamuraDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Zhixiang WuDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Akemi IwasakaDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Shingo HashimotoDepartment of Radiology Technology, University of Tsukuba Hospital, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Tsukasa SaidaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan.
Takahito NakajimaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Ibaraki, Japan. nakajima@md.tsukuba.ac.jp.ORCID http://orcid.org/0000-0001-6704-2297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether software-based de-filtering can restore the quantitative accuracy of the bone scan index (BSI) and the number of hot spots (HSn) in whole-body scintigraphy images degraded by the Clarity2D noise-reduction filter.

methodsIn this IRB-approved retrospective study, 101 adults (mean age ± SD: 67 ± 13 years) who underwent

resultsClarity2D filtering significantly impaired quantitative concordance (BSI r = 0.23, bias = - 1.55 [-6.20 to 3.10]; HSn r = 0.23, bias = - 14.4 lesions). In contrast, de-filtering restored concordance (BSI r = 0.99, bias = - 0.04 [-0.26 to 0.17]; HSn r = 0.98, bias = - 0.04 lesions) and improved spatial overlap (Dice 0.40 to 0.82) while reducing the median Hausdorff distance from 103 pixels (IQR 85-188) to 39 pixels (IQR 1-40) (all p < 0.001). The de-filtered method demonstrated superior lesion detection accuracy compared to Clarity2D (Precision: 0.77 ± 0.37 vs. 0.19 ± 0.29, Recall: 0.81 ± 0.37 vs. 0.43 ± 0.44, F1-score: 0.78 ± 0.36 vs. 0.23 ± 0.30). Furthermore, de-filtering achieved high inter-case stability (median F1-score: 1.0), whereas Clarity2D showed substantial variability (median F1-score: 0.057).

conclusionsThe proposed de-filtering algorithm reliably reverses Clarity2D-induced distortions, enabling accurate BSI and HSn measurements and robust lesion detection without additional radiation or acquisition time. This technique has the potential to broaden the clinical adoption of noise-reduction filters while preserving the integrity of downstream quantitative analyses.

Indexed as

Bone and BonesImage Processing, Computer-AssistedSingle Photon Emission Computed Tomography Computed TomographySoftwareWhole Body ImagingAdultAgedAged, 80 and overCadmiumFemaleHumansMaleMiddle AgedRetrospective StudiesSignal-To-Noise RatioTelluriumCadmiumCdZnTeTelluriumZincBone scan indexBone scintigraphyClarity2DDe-filteringQuantitative imaging

Identifiers

What Socratic 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 Socratic graph.