Study Reveals Breast Cancer Screening Associated with Over-Diagnosis
|
By MedImaging International staff writers Posted on 24 Jan 2017 |

Image: While mammography screening is good at finding tumors, it cannot easily distinguish which ones are harmless from those that are dangerous (Photo courtesy of Damian Dovarganes/AP).
The results of a cohort study indicate that breast cancer screening in Denmark was not associated with a reduction in the incidence of advanced cancer.
The researchers found that possibly one in every three invasive tumors and cases of DCIS (ductal carcinoma in situ) diagnosed in women who had been screened, represents over-diagnosis.
The study was published online in the January 10, 2017, issue of the journal Annals of Internal Medicine. The researchers from the Nordic Cochrane Centre, the University of Oslo, and the Norwegian Institute of Public Health, found a significant increase in the incidence of non-advanced tumors, and DCIS, but no reduction in the incidence of advanced tumors.
Breast cancer screening is intended to detect early-stage cancer, and prevent advanced breast cancer however screening may also detect small benign tumors that do not pose any danger to the patient during their lifetime. In addition, mammography screening exposes patients to radiation, and over diagnosis may result in potentially unnecessary surgery and chemotherapy.
The researchers used data from two Danish cancer registries of biennial mammography breast screening programs for 50 to 69 year old women, between the years 1991 and 2010. The researchers looked at trends in over-diagnosis, and the number of advanced and non-advanced breast cancer tumors found in both screened and unscreened women.
Chief Medical Officer of the American Cancer Society, Otis Brawley, MD, MACP, said, "Considering all small breast cancer lesions to be deadly aggressive cancer is the "pathology equivalent of racial profiling." This does not mean that screening should be abandoned, but we should try to recognize its limitations, use it in the most effective way possible, and try to improve it." Dr. Brawley also suggested that more focus should be put on preventing breast cancer in the first place, by diet, controlling body weight, and exercising.
The researchers found that possibly one in every three invasive tumors and cases of DCIS (ductal carcinoma in situ) diagnosed in women who had been screened, represents over-diagnosis.
The study was published online in the January 10, 2017, issue of the journal Annals of Internal Medicine. The researchers from the Nordic Cochrane Centre, the University of Oslo, and the Norwegian Institute of Public Health, found a significant increase in the incidence of non-advanced tumors, and DCIS, but no reduction in the incidence of advanced tumors.
Breast cancer screening is intended to detect early-stage cancer, and prevent advanced breast cancer however screening may also detect small benign tumors that do not pose any danger to the patient during their lifetime. In addition, mammography screening exposes patients to radiation, and over diagnosis may result in potentially unnecessary surgery and chemotherapy.
The researchers used data from two Danish cancer registries of biennial mammography breast screening programs for 50 to 69 year old women, between the years 1991 and 2010. The researchers looked at trends in over-diagnosis, and the number of advanced and non-advanced breast cancer tumors found in both screened and unscreened women.
Chief Medical Officer of the American Cancer Society, Otis Brawley, MD, MACP, said, "Considering all small breast cancer lesions to be deadly aggressive cancer is the "pathology equivalent of racial profiling." This does not mean that screening should be abandoned, but we should try to recognize its limitations, use it in the most effective way possible, and try to improve it." Dr. Brawley also suggested that more focus should be put on preventing breast cancer in the first place, by diet, controlling body weight, and exercising.
Latest Radiography News
- AI Boosts Breast Cancer Detection and Cuts Screening Workload
- AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
Channels
MRI
view channel
MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Glioblastoma is marked by rapid growth and diffuse infiltration that complicate prognosis and treatment planning. Clinicians need objective tools that capture both how these tumors expand and how they... Read more
Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
Patients who present with myocardial infarction but show no obstructive coronary disease often leave without a definitive diagnosis. That uncertainty complicates in-hospital decision-making and post-discharge... Read moreUltrasound
view channel
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read more
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read moreNuclear Medicine
view channel
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... Read moreImaging IT
view channel
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







