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CT-Pathologic Correlation of Axillary Lymph Nodes in Breast Carcinoma
- Source :
- Journal of Computer Assisted Tomography. 15:440-444
- Publication Year :
- 1991
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 1991.
-
Abstract
- A prospective study was performed to determine whether thoracic CT yielded useful information regarding the status of axillary lymph nodes (LNs) in patients with breast cancer. Thirty-five consecutive patients with clinically suspected stage II or III breast carcinomas were scanned preoperatively from the supraclavicular regions to the lung bases. Axillary LNs measuring greater than or equal to 1 cm were considered abnormal. The lymph nodes were classified according to their relationship to the pectoralis muscle. Extracapsular lymph node extension was diagnosed when there was irregularity and spiculation of the lymph node margin with surrounding fatty infiltration. Correlation with axillary dissection was obtained in 20 patients, giving a positive predictive value for axillary metastases of 89% with 50% sensitivity, 75% specificity, and 20% negative predictive value. CT was also able to detect the level of axillary involvement accurately when the lymph nodes were enlarged and to evaluate extracapsular LN extension. Although superior to physical examination, CT was not an accurate predictor of axillary LN involvement, primarily because of its low negative predictive value.
- Subjects :
- Adult
medicine.medical_specialty
Axillary lymph nodes
Mammary gland
Breast Neoplasms
Sensitivity and Specificity
Metastasis
Breast cancer
Predictive Value of Tests
medicine
Humans
Radiology, Nuclear Medicine and imaging
Prospective Studies
Physical Examination
Lymph node
Aged
Neoplasm Staging
business.industry
Middle Aged
medicine.disease
Surgery
medicine.anatomical_structure
Lymphatic Metastasis
Predictive value of tests
Female
Lymph Nodes
Radiology
Lymph
Tomography, X-Ray Computed
business
Breast carcinoma
Subjects
Details
- ISSN :
- 03638715
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography
- Accession number :
- edsair.doi.dedup.....33173f4383a86c90819c35c16d7558cf
- Full Text :
- https://doi.org/10.1097/00004728-199105000-00017