Evidence map›Paper›PMID 34345946›Full record

ArticleEuropean radiology2022

Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.

Jin Joo Kim, Jin You Kim, Hie Bum Suh, Lee Hwangbo, Nam Kyung Lee, Suk Kim, Ji Won Lee, Ki Seok Choo, Kyung Jin Nam, Taewoo Kang and 1 more

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Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 50 citations in OpenAlex.

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  19. Non-contrast Breast MR Imaging.Radiologic clinics of North America · 2024
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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

11 authors at 2 institutions in 1 country.

Jin Joo KimDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Jin You KimDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea. youdosa@naver.com.ORCID http://orcid.org/0000-0002-9631-501X
Hie Bum SuhDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Lee HwangboDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Nam Kyung LeeDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Suk KimDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Ji Won LeeDepartment of Radiology, Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, 1-10, Ami-Dong, Seo-gu, Busan, 602-739, Republic of Korea.
Ki Seok ChooDepartment of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Kyung Jin NamDepartment of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Taewoo KangBusan Cancer Center, Pusan National University Hospital, Busan, Republic of Korea.
Heeseung ParkBusan Cancer Center, Pusan National University Hospital, Busan, Republic of Korea.
Pusan National University Hospital · KRPusan National University Yangsan Hospital · KR

Funding

Pusan National University Hospital 20200268
6 · The paper itself

Abstract

objectiveTo investigate whether intratumoral heterogeneity, assessed via dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI), reflects the molecular subtypes of invasive breast cancers. MATERIAL AND

methodsWe retrospectively evaluated data from 248 consecutive women (mean age ± standard deviation, 54.6 ± 12.2 years) with invasive breast cancer who underwent preoperative DCE-MRI and DWI between 2019 and 2020. To evaluate intratumoral heterogeneity, kinetic heterogeneity (a measure of heterogeneity in the proportions of tumor pixels with delayed washout, plateau, and persistent components within a tumor) was assessed with DCE-MRI using a commercially available computer-aided diagnosis system. Apparent diffusion coefficients (ADCs) were obtained using a region-of-interest technique, and ADC heterogeneity was calculated using the following formula: (ADC

resultsOf the 248 invasive breast cancers, 61 (24.6%) were classified as luminal A, 130 (52.4%) as luminal B, 25 (10.1%) as HER2-enriched, and 32 (12.9%) as triple-negative breast cancer (TNBC). There were significant differences in the kinetic and ADC heterogeneity values among tumor subtypes (p < 0.001 and p = 0.023, respectively). The TNBC showed higher kinetic and ADC heterogeneity values, whereas the HER2-enriched subtype showed higher kinetic heterogeneity values compared to the luminal subtypes. Multivariate linear analysis showed that the HER2-enriched (p < 0.001) and TNBC subtypes (p < 0.001) were significantly associated with higher kinetic heterogeneity values. The TNBC subtype (p = 0.042) was also significantly associated with higher ADC heterogeneity values.

conclusionsQuantitative assessments of heterogeneity in enhancement kinetics and ADC values may provide biological clues regarding the molecular subtypes of breast cancer. KEY POINTS: • Higher kinetic heterogeneity was associated with HER2-enriched and triple-negative breast cancer. • Higher ADC heterogeneity was associated with triple-negative breast cancer. • Aggressive breast cancer subtypes exhibited higher intratumoral heterogeneity based on MRI.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsAdultAgedBreastContrast MediaDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesContrast MediaBreast neoplasmsDiffusion magnetic resonance imaging classificationKineticsMagnetic resonance imaging

Identifiers

PMID34345946
OpenAlexW3190971174

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.