Histogram analysis for characterization of indeterminate adrenal nodules on noncontrast CT
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| 024 | 7 | 0 | |a 10.1007/s00261-014-0307-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00261-014-0307-6 | ||
| 245 | 0 | 0 | |a Histogram analysis for characterization of indeterminate adrenal nodules on noncontrast CT |h [Elektronische Daten] |c [Michael Lin, Lauren Chang-Sen, Jay Heiken, Thomas Pilgram, Kyongtae Bae] |
| 520 | 3 | |a Objective: To determine the effectiveness of the CT histogram method to characterize indeterminate adrenal nodules above 10Hounsfield units (HU) on noncontrast CT. Materials and methods: Retrospective review of clinical CT data from January 2005 through 2008 identified 194 indeterminate adrenal nodules (>10HU on noncontrast CT) in 175 patients. 20 nodules in 18 patients were excluded due to large standard deviation (SD>30) of HU values. Of the remaining 174 nodules, 131 were classified as benign lipid-poor nodules based on size stability for ≥1year (104), in- and opposed-phase MRI (17), adrenal washout CT (3), or biopsy (7). 43 were classified as malignant by size increase over a short time (30), avid FDG uptake on PET/CT (15), or biopsy (5). Histogram analysis was performed by drawing a circular region of interest on all adrenal nodules. Mean attenuation, total number of pixels, number of negative pixels, and percentage of negative pixels were recorded for each nodule. Results: At the threshold value of >10% negative pixels, 59/131 benign nodules were correctly characterized, but 1/43 malignant nodules was falsely characterized as benign (sensitivity 45%, specificity 98%, positive predictive value 98%). With a slightly higher threshold value of >15% negative pixels, there were no false benign judgments. 36 nodules had more than 15% negative pixels, all of which were benign (sensitivity 27%, specificity 100%, positive predictive value 100%). In the subgroup of benign nodules measuring 11-20HU, 80% and 54% were identified with threshold values of >10% and >15% negative pixels, respectively. Conclusion: The CT histogram method with a threshold value of >10% negative pixels can identify many benign adrenal nodules with attenuation values >10HU on unenhanced CT with extremely high specificity. A threshold of >15% negative pixels can achieve 100% specificity. This method is highly robust provided very "noisy” CT examinations (SD>30) are eliminated. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a CT |2 nationallicence | |
| 690 | 7 | |a Histogram analysis |2 nationallicence | |
| 690 | 7 | |a Adrenal nodules |2 nationallicence | |
| 690 | 7 | |a Negative pixels |2 nationallicence | |
| 690 | 7 | |a CT noise |2 nationallicence | |
| 700 | 1 | |a Lin |D Michael |u Mallinckrodt Institute of Radiology, Washington University in St. Louis, 510 South Kingshighway, Box 8131, 63131, St. Louis, MO, USA |4 aut | |
| 700 | 1 | |a Chang-Sen |D Lauren |u University of Pittsburgh Medical Center, Pittsburgh, PA, USA |4 aut | |
| 700 | 1 | |a Heiken |D Jay |u Mallinckrodt Institute of Radiology, Washington University in St. Louis, 510 South Kingshighway, Box 8131, 63131, St. Louis, MO, USA |4 aut | |
| 700 | 1 | |a Pilgram |D Thomas |u St. Louis, USA |4 aut | |
| 700 | 1 | |a Bae |D Kyongtae |u University of Pittsburgh Medical Center, Pittsburgh, PA, USA |4 aut | |
| 773 | 0 | |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/6(2015-08-01), 1666-1674 |x 0942-8925 |q 40:6<1666 |1 2015 |2 40 |o 261 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00261-014-0307-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a review-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00261-014-0307-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lin |D Michael |u Mallinckrodt Institute of Radiology, Washington University in St. Louis, 510 South Kingshighway, Box 8131, 63131, St. Louis, MO, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Chang-Sen |D Lauren |u University of Pittsburgh Medical Center, Pittsburgh, PA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Heiken |D Jay |u Mallinckrodt Institute of Radiology, Washington University in St. Louis, 510 South Kingshighway, Box 8131, 63131, St. Louis, MO, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Pilgram |D Thomas |u St. Louis, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bae |D Kyongtae |u University of Pittsburgh Medical Center, Pittsburgh, PA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/6(2015-08-01), 1666-1674 |x 0942-8925 |q 40:6<1666 |1 2015 |2 40 |o 261 | ||