Evidence map›Paper›PMID 39932868›Full record

ReviewThe British journal of radiology2025

Imaging and management of lymphedema in the era of precision oncology.

Pranjal Rai, Abhishek Mahajan, Shreya Shukla, Niyati Pokar

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Pranjal RaiDepartment of Radiology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai 400012, India.
Abhishek MahajanFaculty of Health and Life Sciences, University of Liverpool, L7 8TX Liverpool, United Kingdom.ORCID 0000-0001-6606-6537
Shreya ShuklaDepartment of Radiology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai 400012, India.
Niyati PokarDepartment of Radiology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai 400012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphedema is a common complication of cancer treatment, leading to significant morbidity. Early and accurate diagnosis through the combined expertise of radiology and nuclear medicine is crucial for preventing lymphedema progression and improving patient outcomes. Imaging techniques such as lymphoscintigraphy, duplex ultrasound, MRI, and CT as well as newer modalities including near-infra-red lymphangiography can diagnose and assess lymphedema severity. Bioimpedance spectroscopy provides a non-invasive tool for early detection by measuring extracellular fluid changes, aiding in identifying lymphedema at its earliest stages. Pre-treatment baseline measurements and prospective surveillance models are essential for tracking limb volume changes and mobility, enhancing early intervention outcomes. Recognizing the strengths and limitations of each imaging modality allows radiologists and nuclear medicine physicians to synergistically optimize lymphedema diagnosis and management. Effective management relies on multidisciplinary collaboration and includes conservative and surgical options tailored to disease severity. Advanced imaging modalities are pivotal for planning and monitoring interventional strategies. This review explores the development and management of secondary lymphedema in oncological patients, focusing chiefly on imaging and treatment strategies. It also briefly highlights the evolving role of artificial intelligence and machine learning in enhancing imaging precision and treatment outcomes.

Indexed as

Diagnostic ImagingLymphedemaNeoplasmsPrecision MedicineHumansLymphographylymphangiographylymphatic drainagelymphatic imaginglymphedemalymphedema managementlymphoscintigraphy

Identifiers

PMID39932868
PMCPMC12012379

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.