Evidence map›Paper›PMID 39080795›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT.

Josephine Situ, Poppy Buissink, Annie Mu, David K V Chung, Rob Finnegan, Thiranja P Babarenda Gamage, Tharanga D Jayathungage Don, Cameron Walker, Hayley M Reynolds

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Josephine Situ *Department of Engineering Science, The University of Auckland, Auckland, New Zealand.
Poppy Buissink *Department of Engineering Science, The University of Auckland, Auckland, New Zealand.
Annie MuAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
David K V ChungAlfred Nuclear Medicine and Ultrasound, Newtown, NSW, Australia.
Rob FinneganNorthern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia.
Thiranja P Babarenda GamageAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Tharanga D Jayathungage DonAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Cameron WalkerDepartment of Engineering Science, The University of Auckland, Auckland, New Zealand.
Hayley M ReynoldsAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand. Hayley.Reynolds@auckland.ac.nz.

Funding

Health Research Council of New Zealand 20/017
6 · The paper itself

Abstract

backgroundThe identification and assessment of sentinel lymph nodes (SLNs) in breast cancer is important for optimised patient management. The aim of this study was to develop an interactive 3D breast SLN atlas and to perform statistical analyses of lymphatic drainage patterns and tumour prevalence.

methodsA total of 861 early-stage breast cancer patients who underwent preoperative lymphoscintigraphy and SPECT/CT were included. Lymphatic drainage and tumour prevalence statistics were computed using Bayesian inference, non-parametric bootstrapping, and regression techniques. Image registration of SPECT/CT to a reference patient CT was carried out on 350 patients, and SLN positions transformed relative to the reference CT. The reference CT was segmented to visualise bones and muscles, and SLN distributions compared with the European Society for Therapeutic Radiology and Oncology (ESTRO) clinical target volumes (CTVs). The SLN atlas and statistical analyses were integrated into a graphical user interface (GUI).

resultsDirect lymphatic drainage to the axilla level I (anterior) node field was most common (77.2%), followed by the internal mammary node field (30.4%). Tumour prevalence was highest in the upper outer breast quadrant (22.9%) followed by the retroareolar region (12.8%). The 3D atlas had 765 SLNs from 335 patients, with 33.3-66.7% of axillary SLNs and 25.4% of internal mammary SLNs covered by ESTRO CTVs.

conclusionThe interactive 3D atlas effectively displays breast SLN distribution and statistics for a large patient cohort. The atlas is freely available to download and is a valuable educational resource that could be used in future to guide treatment.

Indexed as

Breast NeoplasmsImaging, Three-DimensionalSentinel Lymph NodeSingle Photon Emission Computed Tomography Computed TomographyAdultAgedAged, 80 and overFemaleHumansLymphatic MetastasisLymphoscintigraphyMiddle AgedSentinel Lymph Node BiopsyAtlasBreast cancerLymph nodeSentinel lymph nodeSPECT-CT

Identifiers

PMID39080795
PMCPMC11289966

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LicenceCC BY
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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.