Evidence map›Paper›PMID 30367906›Full record

ArticleInternational journal of radiation oncology, biology, physics2019

A 3-Dimensional Mapping Analysis of Regional Nodal Recurrences in Breast Cancer.

Carl DeSelm, T Jonathan Yang, Oren Cahlon, Jamie Tisnado, Atif Khan, Erin Gillespie, Simon Powell, Alice Ho

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  10. Verification of field match lines in whole breast radiation therapy using Cherenkov imaging.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Carl DeSelmDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: carl.deselm@gmail.com.
T Jonathan YangDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Oren CahlonDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jamie TisnadoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
Atif KhanDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Erin GillespieDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Simon PowellDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Alice HoDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeThe primary goal was to map the anatomic pattern of isolated nodal recurrences (NR) in the supraclavicular (SCV), axillary, and internal mammary nodes (IMNs) in patients with breast cancer treated with curative-intent surgery with or without radiation therapy (RT). Secondary objectives were to assess clinical and pathologic factors associated with patterns of NR and survival rates. METHODS AND MATERIALS: Patients with NR after treatment at a single cancer center during 1998 to 2013 were identified. Patients with prior distant metastases or NR without correlative imaging were excluded. All NRs were overlaid onto representative axial computed tomographic images. Multivariable analysis was performed to identify clinical and pathologic characteristics associated with NR. Kaplan-Meier curves were generated to assess the rate of relapse by nodal region according to pathologic feature or radiation treatment status.

resultsThe locations of 243 NRs among 153 eligible patients were mapped. The majority of NR occurred in the axilla (42%; 102/243), followed by the IMN (32.5%; 79/243) and the SCV (25.5%; 62/243). Radiation Therapy Oncology Group (RTOG) or European Society for Radiation therapy and Oncology (ESTRO) clinical target volume encompassed 82% (198/243) of NRs. The majority of out-of-field NRs were located in the lateral and posterior SCV region for both RTOG (67%; 30/45) and ESTRO (89%; 49/55) guidelines. The high-risk patients who received regional RT to the SCV relapsed at a similar rate in the medial, but a higher rate in lateral SCV (P = .009), compared with low-risk patients who received no nodal RT. Lymphovascular invasion most strongly associated with IMN NR (P = .001); grade 3 disease highly associated with both IMN (P = .001) and SCV NR (P = .02). The presence of an IMN NR portended for significantly inferior overall survival (OS), compared with an axillary NR, with a 5-year OS of 59% versus 72%, respectively (P = .03).

conclusionsIn this 3-dimensional image-based analysis of NR patterns in breast cancer patients treated with contemporary therapies, the lateral and posterior SCV represented a distinct site of NR that is not routinely included within current breast cancer contouring atlases. Grade 3 breast cancer and LVI were most commonly associated with the development of NR in the SCV. Modifying the CTV to encompass the lateral and posterior SCV in patients with breast cancer with these features might be justified.

Indexed as

AdultAgedAged, 80 and overAxillaBreastBreast NeoplasmsFemaleHumansImaging, Three-DimensionalKaplan-Meier EstimateLymphatic MetastasisLymph NodesMiddle AgedMultivariate AnalysisNeoplasm InvasivenessNeoplasm Metastasis

Identifiers

PMID30367906
PMCPMC8135107
OpenAlexW2898121149

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.