Evidence map›Paper›PMID 32228293›Full record

ArticleRadiology2020

Kinetic Heterogeneity of Breast Cancer Determined Using Computer-aided Diagnosis of Preoperative MRI Scans: Relationship to Distant Metastasis-Free Survival.

Jin You Kim, Jin Joo Kim, Lee Hwangbo, Hie Bum Suh, Suk Kim, Ki Seok Choo, Kyung Jin Nam, Taewoo Kang

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Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Jin You KimFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).ORCID https://orcid.org/0000-0002-9631-501X
Jin Joo KimFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).ORCID https://orcid.org/0000-0002-5245-1917
Lee HwangboFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Hie Bum SuhFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Suk KimFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Ki Seok ChooFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Kyung Jin NamFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Taewoo KangFrom the Department of Radiology, Medical Research Institute (J.Y.K., J.J.K., L.H., H.B.S., S.K.), and Busan Cancer Center (T.K.), 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; and Department of Radiology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea (K.S.C., K.J.N.).
Pusan National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Higher peak enhancement and washout component values measured on preoperative breast MRI scans with computer-aided diagnosis (CAD) are presumed to be associated with worse recurrence-free survival. Purpose To investigate whether CAD-extracted kinetic features of breast cancer and the heterogeneity of these features at preoperative MRI are associated with distant metastasis-free survival in women with invasive breast cancer. Materials and Methods Consecutive women with newly diagnosed invasive breast cancer who underwent preoperative MRI were retrospectively evaluated between 2011 and 2012. A commercially available CAD system was used to extract the peak enhancement and delayed enhancement profiles of each breast cancer case from preoperative MRI data. The kinetic heterogeneity of these features (a measure of heterogeneity in the proportions of tumor pixels with delayed washout, plateau, and persistent components within a tumor) was calculated to evaluate intratumoral heterogeneity. Cox proportional hazards models were used to investigate the associations between CAD-extracted kinetic features and distant metastasis-free survival after adjusting for clinical-pathologic factors. Results A total of 276 consecutive women (mean age, 53 years) were evaluated. In 28 of 276 (10.1%) women, distant metastasis developed at a median follow-up of 79 months. A higher degree of kinetic heterogeneity was observed in women with distant metastases than in those without distant metastases (mean, 0.70 ± 0.2 vs 0.43 ± 0.3;

Indexed as

Breast NeoplasmsDiagnosis, Computer-AssistedFemaleFollow-Up StudiesHumansLymphatic MetastasisMagnetic Resonance ImagingMammographyMiddle AgedNeoplasm InvasivenessPreoperative CareProgression-Free SurvivalProportional Hazards ModelsRetrospective Studies

Identifiers

PMID32228293
OpenAlexW3013681527

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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.