Evidence map›Paper›PMID 29018236›Full record

ArticleScientific reports2017

Automatic digital quantification of bone marrow myeloma volume in appendicular skeletons - clinical implications and prognostic significance.

Yuki Nishida, Shinya Kimura, Hideaki Mizobe, Junta Yamamichi, Kensuke Kojima, Atsushi Kawaguchi, Manabu Fujisawa, Kosei Matsue

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 8 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

8 authors at 3 institutions in 1 country.

Yuki NishidaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Shinya KimuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan. shkimu@cc.saga-u.ac.jp.
Hideaki MizobeMedical Equipment Business Planning Department, Medical Equipment Group, Canon Inc., Kawasaki, Japan.
Junta YamamichiMedical Equipment Business Planning Department, Medical Equipment Group, Canon Inc., Kawasaki, Japan.
Kensuke KojimaDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Atsushi KawaguchiSection of Clinical Cooperation System, Center for Comprehensive Community Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Manabu FujisawaDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Kamogawa, Japan.
Kosei MatsueDivision of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Kamogawa, Japan.
Saga University · JPCanon (Japan) · JPKameda Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a clonal plasma cell disorder originating in bone marrow. Whole body low-dose multidetector CT (MDCT) can depict bone marrow infiltration by myeloma cells into the adipose-rich fatty marrow of the appendicular skeleton. However, automated and objective volume measurement of bone marrow infiltration has not been established, and its clinical relevance remains unclear. We therefore developed novel CT post-processing software (MABLE software) and measured the total sum of CT values (cumulative CT value, cCTv) representing bone marrow infiltration, by combining volume and voxel-based CT values. The cCTv was greater in patients with symptomatic MM than in those with smouldering MM or monoclonal gammopathy of unknown significance. Patients with revised International Staging System (R-ISS) III had a higher cCTv than those with R-ISS I or II. Age, albumin, and M-protein levels independently predicted cCTv. Mixed graphical model analysis revealed direct relationships between cCTv and age or R-ISS. Tree-structured survival analysis and multivariate Cox analysis revealed that a cCTv greater than or equal to 4.4 was independently prognostic for overall survival. Anti-myeloma therapy reduced cCTv after treatment. These findings suggest that the automatically calculated cCTv reflects disease aggressiveness and is useful for accurate prognostic prediction in MM patients.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overAutomationBone MarrowFemaleFemurHumansHumerusKaplan-Meier EstimateLinear ModelsMaleMiddle AgedMultiple MyelomaMultivariate Analysis

Identifiers

PMID29018236
PMCPMC5635114
OpenAlexW2761267000

What OpenQuestion holds

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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.