Evidence map›Paper›PMID 31752910›Full record

ArticleRadiation oncology (London, England)2019

Infiltration tendency of internal mammary lymph nodes involvement in patients with breast cancer: anatomical characteristics and implications for target delineation.

Yujie Wang, Weixiang Qi, Haoping Xu, Miao Zhang, Yimin Han, Jiayi Chen, Cheng Xu

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Management of MRI-Detected Benign Internal Mammary Lymph Nodes.The Indian journal of radiology & imaging · 2022
    Article
  5. 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

7 authors at 1 institution in 1 country.

Yujie WangDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China.
Weixiang QiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China.
Haoping XuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China.
Miao ZhangDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Building 7, 3rd floor, Shanghai, China.
Yimin HanDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China.
Jiayi ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China.
Cheng XuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, 197# Ruijin Er Road, Outpatient Building, Shanghai, China. xucheng60@126.com.
Ruijin Hospital · CN

Funding

National Natural Science Foundation of China 81602791National Natural Science Foundation of China 81673102National Natural Science Foundation of China 81702601National Natural Science Foundation of China 81803164
6 · The paper itself

Abstract

backgroundDespite increasing clinical data suggest that internal mammary node (IMN) irradiation would improve local-regional control and overall survival in breast cancer, its role remains controversial due to increased risk of cardiac and pulmonary toxicity. The current study aims to determine the high risk areas of IMN metastases by collecting and analyzing the axial imaging of IMN involvement, in order to optimize IMN delineation for breast cancer.

methodsBreast cancer patients with IMN involvement were retrospectively identified from single-center database. All available imaging modalities including thoracic CT, breast MRI, ultrasound and PET/CT were used to diagnose IMN metastases. Anatomical characteristics from axial imaging, including distribution of involved ribs and distance from the internal mammary vessels (IMV), were collected for each metastatic IMN. What's more,the natural infiltration tendency of IMNs from IMV was calculated in this study.

resultsIn total, 83 metastatic IMNs from 70 breast cancer patients (initial diagnosed:34 and recurrence: 36) were located from axial CT image in this study. The second intercostal space was the most likely involved in patients with single(n = 35, 53.0%) and multiple intercostal space (n = 31, 47.0%) involvement. The percentage of including IMN with a 5 mm, 6 mm and 7 mm medial/lateral distance to the IMV were 75.9% (63/83), 89.2.6% (74/83) and 92.3% (77/83) respectively. While in maximal dorsal/ventral distance, nearly 95% of the nodes were encompassed into 6 mm depth to the IMV. Over 65% of IMN adenopathy (32/49,65.3%) were found to have a growth direction close to the sternum. By retrospective reviewing diagnostic reports, MRI demonstrated a high diagnostic performance in diagnosis of IMN disease (90.3%, 28/31), while CT had a higher misdiagnosis rate (22/63, 34.9%). The diagnostic efficiency of IMN could be improved if different methods were combined.

conclusionsFor patients with indications of prophylactic IMN irradiation, a 7 mm medial and 6 mm dorsal distance to the IMV on axial CT would be optimal to cover the clinical volume of IMN; and it would be reasonable to extend clinical tumor volume (CTV) coverage towards sternum for patients with evident IMN disease. Multi-imaging modalities are recommended to improve the diagnostic specificity and sensitivity of IMN metastases.

Indexed as

BreastBreast NeoplasmsFemaleHumansLymphatic IrradiationLymph NodesMagnetic Resonance ImagingMammary Glands, HumanNeoplasm InvasivenessNeoplasm MetastasisNeoplasm Recurrence, LocalPositron Emission Tomography Computed TomographyRetrospective StudiesRiskUltrasonographyAnatomical featuresCTV delineationIMNIMVInfiltration tendency

Identifiers

PMID31752910
PMCPMC6868832
OpenAlexW2991385562

What OpenQuestion holds

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LicenceCC BY
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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.