ReviewJournal of medical imaging (Bellingham, Wash.)2018
Review of quantitative multiscale imaging of breast cancer.
Review in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Bridging In Vitro and Murine Breast Cancer Models: Advanced Imaging Across Multiscale Experimental Platforms.Cancers · 2026Review
- Label-free streamlined photoacoustic image guidance facilitates NIR-II photoablation in models of melanoma lung metastases.The Journal of clinical investigation · 2026Article
- Breast percent density changes in digital mammography pre- and post-radiotherapy.Journal of medical radiation sciences · 2024Article
- Optimizing diffuse optical imaging for breast tissues with a dual-encoder neural network to preserve small structural information and fine features.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Tissue density in the progression of breast cancer: Bedside to bench and back again.Current opinion in biomedical engineering · 2022Article
- Harnessing non-destructive 3D pathology.Nature biomedical engineering · 2021Review
- Challenges of conducting quantitative ultrasound with a multimodal optical imaging system.Physics in medicine and biology · 2021Article
- Novel endoscopic optical diagnostic technologies in medical trial research: recent advancements and future prospects.Biomedical engineering online · 2021Review
- Emerging principles of cancer biophysics.Faculty reviews · 2021Review
- The Venom of Philippine Tarantula (Theraphosidae) Contains Peptides with Pro-Oxidative and Nitrosative-Dependent Cytotoxic Activities against Breast Cancer Cells (MCF-7) In Vitro.Asian Pacific journal of cancer prevention : APJCP · 2020Article
- 3-D-Printed Registration Phantom for Combined Ultrasound and Optical Imaging of Biological Tissues.Ultrasound in medicine & biology · 2020Article
- Platform for quantitative multiscale imaging of tissue composition.Biomedical optics express · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.
Indexed as
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What OpenQuestion holds
Registered trials
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.