Can breast cancer be missed on CT scan?
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| Papers (10) | Insight |
|---|---|
40 Citations | The chest CT radiologist should be aware of the different breast pathologies and their CT appearances as some can be diagnosed by chest CT, whereas others, such as breast cancer, should not be overlooked. |
| MRI can detect cancer in the contralateral breast that is missed by mammography and clinical examination at the time of the initial breast-cancer diagnosis. | |
10 Citations | There have only been a few reports regarding CT examination of breast cancer, and it is expected this study encourage the development of DE-CT imaging to improve tumor detection in patients with breast cancer. |
17 Citations | CAC was commonly detected on chest CT studies in this observational study of breast cancer patients at high risk of cardiac oncology events. |
11 Citations | Chest CT might be the earliest opportunity to detect breast cancer. |
13 Citations | A significant percentage of patients with stage I/II breast cancer underwent unnecessary chest CT as part of their initial workup. |
| Referral for formal triple assessment of CT-diagnosed breast lesions is worthwhile, and careful examination of the breast should be a routine part of CT examinations. | |
14 Citations | In conclusion, the low-dose multidetector dynamic CT scan is feasible for the evaluation of the breast, with reduced radiation dose and with similar image quality when compared with standard-dose CT scan. |
14 Citations | In breast cancers, low-dose dynamic CT could be used for the staging of breast cancer before surgery. |
17 Citations | The extent of breast cancer can be determined accurately using MD-CT. |
Related Questions
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How can AI be used to improve the accuracy of breast cancer detection?5 answersAI can be used to improve the accuracy of breast cancer detection by utilizing machine learning and deep learning algorithms. These algorithms can achieve comparable or even superior performance to human experts in detecting and classifying cancer. By analyzing medical imaging and pathology data, AI algorithms can identify difficult-to-detect patterns and make accurate predictions. The use of AI in breast cancer imaging can assist in pre-screening and lesion detection, increasing diagnostic accuracy while reducing workload and complications related to overdiagnosis. Additionally, AI can aid in developing risk prediction models that integrate multi-data streams for individualized screening protocols. However, challenges such as data quality, interpretability, and algorithm robustness need to be addressed for successful implementation in clinical settings. Further research and collaboration between clinicians, researchers, and AI experts are essential to fully realize the potential of AI in breast cancer detection.
What is problem statement of Breast cancer detection using deep learning?4 answersStep 1: Answer without citation
Breast cancer detection using deep learning aims to improve accuracy and efficiency in identifying tumors from imaging scan data. The complexity of tumors makes it challenging to detect them in microwave images, and the use of popular convolutional neural networks (CNNs) and their derivatives can lead to overfitting in classifiers. The proposed deep learning models show potential for breast cancer detection in microwave images and histopathological clinical computer-aided diagnosis systems.
Step 2: Finding Citations
- "Breast cancer detection using deep learning aims to improve accuracy and efficiency in identifying tumors from imaging scan data."
- "The complexity of tumors makes it challenging to detect them in microwave images."
- "The proposed deep learning models show potential for breast cancer detection in microwave images and histopathological clinical computer-aided diagnosis systems."
Step 3: Answer with citation
Breast cancer detection using deep learning aims to improve accuracy and efficiency in identifying tumors from imaging scan data. The complexity of tumors makes it challenging to detect them in microwave images. The proposed deep learning models show potential for breast cancer detection in microwave images and histopathological clinical computer-aided diagnosis systems.
What are the challenges in radiotherapy of breast using CT?3 answersBreast radiotherapy using CT faces several challenges. One challenge is the inconsistency in image registration due to different acquisition conditions, making it difficult to adopt initial PET-CT images for radiation treatment planning (RTP). Another challenge is the complex shape of the target volume, proximity of radiation-sensitive normal structures, and breathing motion, which can lead to unwarranted doses to the lungs and heart. Additionally, the change in posture between the supine and prone positions during treatment planning can cause large deformations of the breast, making breast registration a challenge. Furthermore, there is a need to identify patients at higher risk of radiation-induced side effects, such as fibrosis or erythema, in order to provide them with more individualized information about the risks and benefits of radiotherapy.
What are the challenges in using CT for breast surgery?5 answersBreast imaging using CT presents unique challenges in decision making and patient management. There are controversies surrounding inappropriate indications for mammography, breast intervention, dense breast law, double reads, clinical breast exam during screening, imaging the male breast, overdiagnosis of breast cancer with screening mammography, and isolated abnormal axillary nodes. The nonspecific appearance of breast findings on CT and the lack of consensus guidelines for managing incidental breast findings may dissuade radiologists from thoroughly evaluating the breasts on CT. However, findings on chest CT may be the first indication of an occult malignancy, making it important to consider breast evaluation on CT. In breast surgery, an immediate verification method of the negative resection margin in a breast cancer specimen is needed. A proposed cone-beam CT machine specifically for breast specimens has shown high potential to detect microcalcification within breast specimens during surgery.
How long can breast cancer stay undetected?10 answers