Evidence map›Paper›PMID 40590883›Full record

ArticleBlood advances2025

Prognostic impact of focal lesion location and persistence in multiple myeloma: insights from serial PET/DWI imaging.

Carolina Schinke, Leo Rasche, Cody Ashby, Rudy van Hemert, Sharmilan Thanendrarajan, Samer Al Hadidi, Maurizio Zangari, Clyde Bailey, Daisy V Alapat, John D Shaughnessy and 4 more

Abstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Carolina SchinkeHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.ORCID 0000-0002-2699-1741
Leo RascheDepartment of Internal Medicine, University Hospital of Würzburg, Germany.ORCID 0000-0002-9536-9649
Cody AshbyDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR.
Rudy van HemertDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR.
Sharmilan ThanendrarajanHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Samer Al HadidiHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Maurizio ZangariHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Clyde BaileyHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Daisy V AlapatDepartment of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
John D ShaughnessyHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Fenghuang ZhanHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.ORCID 0000-0001-5417-2973
Bart BarlogieHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Frits van RheeHematology and Oncology Myeloma Center, Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR.
Niels WeinholdHeidelberg Myeloma Center, Department of Medicine V, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-5464-3234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMultiple myeloma (MM) is a heterogeneous disease exemplified by focal lesions (FLs), densely populated nodules whose number and persistence during treatment predict poor outcome. However, the prognostic role of FL location and the relationship between FLs at different time points remain underexplored, although they may provide critical clues to disease evolution and resistance mechanisms. We analyzed positron emission tomography (PET) and diffusion-weighted magnetic resonance imaging (DWI) scans from 243 patients with MM enrolled in total therapies at baseline, after autologous stem cell transplant (ASCT), and every 6 to 12 months thereafter until relapse or last follow-up. Baseline FLs in the humerus or femur were associated with poor prognosis. Although rare, residual PET-positive FLs after ASCT identified patients with worse outcomes. One-third of patients had residual FLs on DWI after ASCT, which also correlated with poor prognosis. Even FLs that resolved after the second ASCT in patients who underwent tandem ASCTs retained adverse prognostic significance, highlighting the limitations of late imaging in high-risk patients. Patients who achieved both minimal residual disease (MRD) and imaging negativity after ASCT had the best outcomes. Conversely, MRD-negative patients with FLs had as poor outcomes as double-positive patients. Residual FLs persisting to relapse were predominantly observed in early relapse cases, and resolved FLs frequently recurred at the same or nearby sites, suggesting limited imaging sensitivity for detection of focal resistant cells. Taken together, this study identifies long bone FLs as a risk factor, and underscores the value of serial imaging and the urgent need for alternative treatment strategies for patients with persistent FLs.

Indexed as

Diffusion Magnetic Resonance ImagingMultiple MyelomaPositron-Emission TomographyAdultAgedFemaleHumansMaleMiddle AgedNeoplasm, ResidualPrognosis

Identifiers

PMID40590883
PMCPMC12447427

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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.