Evidence map›Paper›PMID 31486968›Full record

ReviewJapanese journal of radiology2019

MRI-detected breast lesions: clinical implications and evaluation based on MRI/ultrasonography fusion technology.

Kazuaki Nakashima, Takayoshi Uematsu, Taiyo L Harada, Kaoru Takahashi, Seiichirou Nishimura, Yukiko Tadokoro, Tomomi Hayashi, Junichiro Watanabe, Takashi Sugino

Abstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  4. Breast tumor segmentation via deep correlation analysis of multi-sequence MRI.Medical & biological engineering & computing · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kazuaki NakashimaDepartment of Breast Imaging and Breast Interventional Radiology, Shizuoka Cancer Center Hospital, Nagaizumi, Shizuoka, 411-8777, Japan. kaz.nakashima@scchr.jp.
Takayoshi UematsuDepartment of Breast Imaging and Breast Interventional Radiology, Shizuoka Cancer Center Hospital, Nagaizumi, Shizuoka, 411-8777, Japan.
Taiyo L HaradaDepartment of Breast Imaging and Breast Interventional Radiology, Shizuoka Cancer Center Hospital, Nagaizumi, Shizuoka, 411-8777, Japan.
Kaoru TakahashiDepartment of Breast Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Seiichirou NishimuraDepartment of Breast Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yukiko TadokoroDepartment of Breast Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Tomomi HayashiDepartment of Breast Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Junichiro WatanabeDepartment of Breast Oncology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Takashi SuginoDepartment of Pathology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is a highly sensitive imaging modality that frequently reveals additional breast lesions that are occult on mammography and ultrasonography (US) and are thus difficult to diagnose. It is important to investigate these MRI-detected suspicious lesions, which are associated with a fairly high rate of malignancy. In this review, we have discussed MRI/US fusion technology, a magnetic position tracking system that synchronizes real-time US and MRI to improve lesion detection and enables comparisons of MRI and US findings of the detected lesions. This combination increases the precision of second-look US. We hope that our review underscores the importance of understanding the US findings and histopathology of MRI-detected breast lesions, as this will enable radiologists to perform appropriate assessments.

Indexed as

AdultAgedBreastBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMiddle AgedMultimodal ImagingRetrospective StudiesSensitivity and SpecificityUltrasonography, MammaryBreast cancerFusionMRI-detected lesionReal-time virtual sonographySecond-look ultrasonography

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.