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Studies that have used our ROC software

The list is currently being updated, feedback is welcome.

Some Papers appear more than once because they belong to multiple classifications



ROCKIT

Reference

Comments

Metz CE, Herman BA, Roe CA. Statistical comparison of two ROC curve estimates obtained from partially-paired datasets. Med Decis Making 1998; 18:110-121.

Uses ROCKIT to compare partially paired datasets.

Worling JR, Curwen T. Adolescent sexual offender recidivism: success of specialized treatment and implications for risk prediction. Child Abuse Negl 2000; 24:965-982.

Uses ROCKIT to compare partially paired datasets.

Worling JR. The Estimate of Risk of Adolescent Sexual Offense Recidivism (ERASOR): preliminary psychometric data. Sex Abuse 2004; 16:235-254.

Uses ROCKIT to compare partially paired datasets.

Drukker K, Giger ML, Metz CE, ‘Robustness of a computerized breast lesion detection and classification system across different ultrasound acquisition platforms’, Radiology, 237: 834-840 (2005)

Weijie Chen, Maryellen L. Giger, Ulrich Bick, and Gillian M. Newstead, "Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI" Medical Physics 33:2878-2887 (2006)

LABMRMC

Reference

Comments

Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improving breast cancer diagnosis with computer-aided diagnosis. Academic Radiology 6:22-33, 1999.

Makes use of both LABMRMC and LABROC4

Shiraishi J, Abe H, Englemann R, Aoyama M, MacMahon H, Doi K: Computer-aided diagnosis for distinction between benign and malignant solitary pulmonary nodules in chest radiographs: ROC analysis of radiologists' performance. Radiology (in press) 2003.

Shiraishi J, Abe H, Engelmann R, Doi K. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules. in chest radiographs: Observer performance study. Academic Radiology 2003;10:1302-1311.


Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, MacMahon H, Doi K. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. American Journal of Roentgenology 2004;183:1209-1215.


Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology 2005;237:684-690.


LABROC4

Reference

Comments

Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K.: Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology 198:671-678, 1996

Uses partial areas (currently not available in ROCKIT)

Armato SG III, Giger ML, MacMahon H: Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Academic Radiology 5: 329-335, 1998.

Gilhuijs KGA, Giger ML, Bick U:  Automated analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging. Medical Physics  25:1647-1654, 1998.

Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, Doi K: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. AJR 174:71-74, 2000.

Huo Z, Giger ML, Vyborny CJ:  Computerized analysis of multiple-mammographic views:  potential usefulness of special view mammograms in computer-aided diagnosis. IEEE Transactions on Medical Imaging 20: 1285-1292, 2001.

Uses also CLABROC (now fully included in ROCKIT)

Armato SG III, Li F, Giger ML, MacMahon H, Sone S, Doi K: Lung cancer: Performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology 225: 685-692, 2002

Drukker K, Giger ML, Horsch K,  Kupinski MA, Vyborny  CJ and Mendelson EB: Computerized lesion detection on breast ultrasound. MedPhys 29 (7), 1438, (2002)  

LABROC4 is currently easier to interface to Matlab than ROCKIT

Huo Z, Giger ML, Vyborny CJ, Metz CE: Effectiveness of CAD in the diagnosis of breast cancer: An observer study on an independent database of mammograms Radiology 224:560-568, 2002.

Uses also CLABROC (now fully included in ROCKIT)

Armato SG III, Altman MB, La Rivière PJ:  Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm. MedPhys 30 (3): 461-472 MAR 2003

Drukker K, Horsch K, Giger ML, ‘Multi-modality computerized diagnosis of breast lesions using mammography and sonography’, Academic Radiology 12, 970-979, (2005)

PROPROC

Reference

Comments

Edwards DC, Kupinski MA, Metz CE, and Nishikawa RM:
Maximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model, Med. Phys. 29, 2861-2870 (2002).

Uses both PROPROC and LABROC4

Abe H, MacMahon H, Engelmann R, Li Q, Shiraishi J, Katsuragawa S, Aoyama M, Ishida T, Ashizawa K, Metz C, Doi K:  Computer-aided diagnosis in chest radiology: results of large-scale observer tests performed at the 1996-2001 RSNA Scientific Assemblies.  RadioGraphics, 23:255-265, 2003.

Edwards DC, Lan L, Metz CE, Giger ML, and Nishikawa RM, Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Med. Phys. 31, pp. 81-90, 2004

Snoeijs MGJ, Schaefer S, Christiaans MH, et al.
Kidney transplantation using elderly non-heart-beating donors: A single-center experience AMERICAN JOURNAL OF TRANSPLANTATION 6 (5): 1066-1071 Part 1 MAY 2006