Evidence map›Paper›PMID 33794569›Full record

ArticleRadiation oncology journal2021

Atlas of sentinel lymph nodes in early breast cancer using single-photon emission computed tomography: implication for lymphatic contouring.

Sergey Nikolaevich Novikov, Pavel Ivanovich Krzhivitskii, Yulia Sergeevna Melnik, Alina Albertovna Valitova, Zhanna Viktorovna Bryantseva, Irina Alexandrovna Akulova, Sergey Vasilevich Kanaev

Abstract read
In one paragraph

Article in Radiation oncology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  3. Review
  4. 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.

Sergey Nikolaevich NovikovDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Pavel Ivanovich KrzhivitskiiDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Yulia Sergeevna MelnikDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Alina Albertovna ValitovaDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Zhanna Viktorovna BryantsevaDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Irina Alexandrovna AkulovaDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.
Sergey Vasilevich KanaevDepartment of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeto determine the localization of sentinel lymph nodes (SLNs) in a large cohort of patients with breast cancer and validate the European Society for Therapeutic Radiology and Oncology (ESTRO), Radiation Therapy Oncology Group (RTOG), and Radiotherapy Comparative Effectiveness (RADCOMP) guidelines on regional lymph node clinical target volume (CTV-LN) delineation. MATERIALS AND

methodsA total of 254 women with cT1-3N0-1M0 breast cancer underwent single-photon emission computed tomography (SPECT-CT) visualization of SLNs after intra- and peritumoral injection of 99mTc-radiocolloids. All SPECT-CT images were fused with reference simulation computed tomography. A 3D atlas of SLNs was created and used for evaluation of CTV-LN defined by contouring guidelines.

resultsSPECT-CT visualized 532 SLNs that were localized in axillary level I in 67.5%, level II in 15.4%, level III in 7.3%, internal mammary in 8.5%, and supraclavicular in 1.3% cases. The majority of level II-IV and internal mammary SLNs were inside the recommended CTV-LN. Axillary level I SLNs were covered by ESTRO and RTOG contours in 85% and 85% cases, respectively. "Out of contours" SLNs were mostly detected in lateral subgroup of level I LN (18.5%), while 98%-99% of anterior pectoral and central axillary SLNs were covered by CTV-LN. Internal mammary SLNs were visualized in 33 cases and were outside ESTRO and RTOG contours in 3 and 6 observations, respectively.

conclusionSPECT-CT atlas of SLNs demonstrated that in most cases ESTRO and RTOG guidelines correctly represented CTV-LNs with the exception of lateral subgroup of SLNs.

Indexed as

Breast cancerLymph nodesSentinel lymph nodesTarget volume delineation

Identifiers

PMID33794569
PMCPMC8024181

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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.