Pötsch et al., 2022 - Google Patents
Contrast-enhanced mammography versus contrast-enhanced breast MRI: a systematic review and meta-analysisPötsch et al., 2022
View PDF- Document ID
- 6897916280501435729
- Author
- Pötsch N
- Vatteroni G
- Clauser P
- Helbich T
- Baltzer P
- Publication year
- Publication venue
- Radiology
External Links
Snippet
Background Contrast-enhanced mammography (CEM) is a more accessible alternative to contrast-enhanced MRI (CE-MRI) in breast imaging, but a summary comparison of published studies is lacking. Purpose To directly compare the performance of CEM and CE …
- 238000009607 mammography 0 title abstract description 30
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/50—Clinical applications
- A61B6/507—Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/48—Diagnostic techniques
- A61B6/481—Diagnostic techniques involving the use of contrast agents
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pötsch et al. | Contrast-enhanced mammography versus contrast-enhanced breast MRI: a systematic review and meta-analysis | |
Jochelson et al. | Contrast-enhanced mammography: state of the art | |
Crombé et al. | Soft-tissue sarcomas: assessment of MRI features correlating with histologic grade and patient outcome | |
Kan et al. | Standardized abnormal interpretation and cancer detection ratios to assess reading volume and reader performance in a breast screening program | |
Lee et al. | Risk-based breast cancer screening: implications of breast density | |
van Zelst et al. | Multireader study on the diagnostic accuracy of ultrafast breast magnetic resonance imaging for breast cancer screening | |
Lee et al. | Performance benchmarks for screening breast MR imaging in community practice | |
Shepherd et al. | Volume of mammographic density and risk of breast cancer | |
Jonisch et al. | Can high-attenuation renal cysts be differentiated from renal cell carcinoma at unenhanced CT? | |
Metzger et al. | Detection of prostate cancer: quantitative multiparametric MR imaging models developed using registered correlative histopathology | |
Geller et al. | Use of the American College of Radiology BI-RADS to report on the mammographic evaluation of women with signs and symptoms of breast disease | |
Woo et al. | Diagnostic performance of DWI for differentiating high-from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis | |
Dikaios et al. | Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI | |
Dialani et al. | Prediction of low versus high recurrence scores in estrogen receptor–positive, lymph node–negative invasive breast cancer on the basis of radiologic-pathologic features: comparison with oncotype DX test recurrence scores | |
Poplack et al. | Screening mammography: costs and use of screening-related services | |
Youk et al. | Comparison of visual assessment of breast density in BI-RADS 4th and 5th editions with automated volumetric measurement | |
Luo et al. | Ductal carcinoma in situ: quantitative preoperative breast MR imaging features associated with recurrence after treatment | |
Fu et al. | Deep learning for head and neck CT angiography: stenosis and plaque classification | |
KR20080070767A (en) | Method and system of computer-aided quantitative and qualitative analysis of medical images | |
Lee et al. | Low-dose CT with the adaptive statistical iterative reconstruction V technique in abdominal organ injury: comparison with routine-dose CT with filtered back projection | |
Woo et al. | Diagnostic performance of CT for diagnosis of fat-poor angiomyolipoma in patients with renal masses: a systematic review and meta-analysis | |
Nguyen et al. | Breast cancer risk associations with digital mammographic density by pixel brightness threshold and mammographic system | |
Davarpanah et al. | Homogeneous T1 hyperintense renal lesions with smooth borders: is contrast-enhanced MR imaging needed? | |
Kim et al. | Abbreviated screening MRI for women with a history of breast cancer: comparison with full-protocol breast MRI | |
Boos et al. | Ovarian cancer: prevalence in incidental simple adnexal cysts initially identified in CT examinations of the abdomen and pelvis |