Evidence map›Paper›PMID 28250861›Full record

ArticleNuclear medicine and molecular imaging2017

Correlation of Molecular Subtypes of Invasive Ductal Carcinoma of Breast with Glucose Metabolism in FDG PET/CT: Based on the Recommendations of the St. Gallen Consensus Meeting 2013.

Sun Seong Lee, Sang Kyun Bae, Yun Soo Park, Ji Sun Park, Tae Hyun Kim, Hye Kyoung Yoon, Hyo Jung Ahn, Seok Mo Lee

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Article in Nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
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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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Texture analysis of high-resolution dedicated breastEuropean journal of nuclear medicine and molecular imaging · 2018
    Article
  7. [European journal of nuclear medicine and molecular imaging · 2017
    Article
  8. [Advances on correlation of PET-CT findings with breast cancer molecular subtypes, treatment response and prognosis].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017
    Article
  9. Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    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

8 authors.

Sun Seong LeeDepartment of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Sang Kyun BaeDepartment of Nuclear Medicine, Haundae Paik Hospital, University of Inje College of Medicine, 875 Haeun-daero, Haeundae-gu, Busan, 48108 Republic of Korea.
Yun Soo ParkDepartment of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Ji Sun ParkDepartment of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Tae Hyun KimDepartment of Surgery, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Hye Kyoung YoonDepartment of Pathology, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Hyo Jung AhnDepartment of Pathology, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.
Seok Mo LeeDepartment of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, 75 Bokji-ro, Busanjin-gu, Busan, 47392 Republic of Korea.ORCID 0000-0003-4826-1368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the relationship between the SUVmax of primary breast cancer lesions and the molecular subtypes based on the recommendations of the St. Gallen consensus meeting 2013.

methodsClinical records of patients who underwent F-18 FDG PET/CT for initial staging of invasive ductal carcinoma (IDC) of the breast were reviewed. A total of 183 patients were included. SUVmax was correlated with the molecular subtypes defined by the St. Gallen Consensus Meeting 2013, i.e., luminal A-like (LA), luminal B-like HER2 negative (LBHER2-), luminal B-like HER2 positive (LBHER2+), HER2 positive (HER2+), and triple negative (TN), and with the clinicohistopathologic characteristics.

resultsThe molecular subtype was LA in 38 patients, LBHER2- in 72, LBHER2+ in 21, HER2+ in 30, and TN in 22. The mean SUVmax in the LA, LBHER2-, LBHER2+, HER2+, and TN groups were 4.5 ± 2.3, 7.2 ± 4.9, 7.2 ± 4.3, 10.2 ± 5.5, and 8.8 ± 7.1, respectively. Although SUVmax differed significantly among these subtypes (

conclusionThe SUVmax showed a significant correlation with the molecular subtype. Although SUVmax measurements could be used along with immunohistochemical analysis for differentiating between molecular subtypes, its application to individual patients may be limited due to the wide overlaps in SUVmax.

Indexed as

Breast cancerF-18 FDG PET/CTInvasive ductal carcinomaMolecular subtypeSUVmax

Identifiers

PMID28250861
PMCPMC5313467

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