Evidence map›Paper›PMID 29453385›Full record

ArticleScientific reports2018

Prediction of Advanced Axillary Lymph Node Metastases (ypN2-3) Using Breast MR imaging and PET/CT after Neoadjuvant Chemotherapy in Invasive Ductal Carcinoma Patients.

Won Hwa Kim, Sang-Woo Lee, Hye Jung Kim, Yee Soo Chae, Shin Young Jeong, Jin Hyang Jung, Ho Yong Park, Won Kee Lee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
0.4field-weighted citation impact, top 44% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  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

8 authors at 2 institutions in 1 country.

Won Hwa KimDepartment of Radiology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Sang-Woo LeeDepartment of Nuclear Medicine, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea. swleenm@knu.ac.kr.
Hye Jung KimDepartment of Radiology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea. mamrad@knu.ac.kr.
Yee Soo ChaeDepartments of Oncology/Hematology, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Shin Young JeongDepartment of Nuclear Medicine, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Jin Hyang JungDepartment of Surgery, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Ho Yong ParkDepartment of Surgery, Kyungpook National University Chilgok Hospital, Daegu, Republic of Korea.
Won Kee LeeCenter of Biostatistics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Kyungpook National University · KRKyungpook National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the value of breast magnetic resonance (MR) imaging and positron emission tomography-computed tomography (PET/CT) in predicting advanced axillary lymph node (ALN) metastases (ypN2-3) after neoadjuvant chemotherapy (NAC) in invasive ductal carcinoma patients. A total of 108 patients with invasive ductal carcinoma underwent breast MR imaging and PET/CT both before and after NAC (termed initial staging and restaging, respectively). The number of positive ALNs and the short diameter (SD) of the largest ALN on breast MR imaging and maximal standardized uptake value (SUVmax) in the ALNs on PET/CT were evaluated. Odds ratio (OR) for prediction of advanced ALN metastases was calculated. The negative predictive value (NPV) of restaging imaging for exclusion of advanced ALN metastases was also calculated. Patients with advanced ALN metastases were more likely to have a higher number (≥2) of positive LNs (OR, 8.06; P = 0.015) on restaging MR imaging. No clinico-pathological factors were significantly associated with advanced ALN metastases. With restaging MR imaging, PET/CT, and MR imaging plus PET/CT, the NPV for excluding advanced ALN metastases was 97.3%, 94.4%, and 100.0%. A higher number of positive ALNs on restaging MR imaging was an independent predictor for advanced ALN metastases after NAC.

Indexed as

AdultAxillaBreast NeoplasmsCarcinoma, DuctalCarcinoma, Ductal, BreastFemaleFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMiddle AgedMultimodal ImagingNeoadjuvant TherapyPositron-Emission TomographyFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID29453385
PMCPMC5816592
OpenAlexW2806148155

What OpenQuestion holds

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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.