ReviewAcademic radiology2016
How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis?
Review in Academic radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled 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.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The predictive value of lymph node status pre-operation by ultrasound and MRI in early and newly diagnosed breast cancer.Clinical and experimental medicine · 2026Pooled it
- Overdetection of Breast Cancer.Current oncology (Toronto, Ont.) · 2022Article
- Article
- Optimal Screening in Breast Cancer Survivors With Dense Breasts on Mammography.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020Article
- Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review.Korean journal of radiology · 2020Review
- Ductal Carcinoma in Situ: Current Concepts in Biology, Imaging, and Treatment.Journal of breast imaging · 2019Review
- Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset.Academic radiology · 2019Article
- A New Challenge for Radiologists: Radiomics in Breast Cancer.BioMed research international · 2018Review
- Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer.PloS one · 2018Article
- Precision Medicine for Breast Cancer: The Paths to Truly Individualized Diagnosis and Treatment.International journal of breast cancer · 2018Review
- Article
- Factors Associated With Underestimation of Invasive Cancer in Patients With Ductal Carcinoma In Situ: Precautions for Active Surveillance.JAMA surgery · 2017Article
- Wherein the authors attempt to minimize the confusion generated by their study "Breast cancer mortality after a diagnosis of ductal carcinomaCurrent oncology (Toronto, Ont.) · 2017Article
- The mammography debate: the senior years.Current oncology (Toronto, Ont.) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Radiologists, as administrators and interpreters of screening mammography, are considered by some to be major contributors to the potential harms of screening, including overdiagnosis and overtreatment. In this article, we outline current efforts within the breast imaging community toward mitigating screening harms, including the widespread adoption of tomosynthesis and potentially adjusting screening frequency and thresholds for image-guided breast biopsy. However, the emerging field of breast radiomics may offer the greatest promise for reducing overdiagnosis by identifying imaging-based biomarkers strongly associated with tumor biology, and therefore helping prevent the harms of unnecessary treatment for indolent cancers.
Indexed as
Identifiers
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.