Computer-Aided Diagnosis of Different Rotator Cuff Lesions Using Shoulder Musculoskeletal Ultrasound
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Alasaarela, 1998, Ultrasound and operative evaluation of arthritic shoulder joints, Ann Rheum Dise, 57, 357, 10.1136/ard.57.6.357
Allen, 2001, Ultrasound of the shoulder, Eur J Ultrasound, 14, 3, 10.1016/S0929-8266(01)00140-9
Beaudreuil, 2009, Contribution of clinical tests to the diagnosis of rotator cuff disease: a systematic literature review, Joint Bone Spine, 76, 15, 10.1016/j.jbspin.2008.04.015
Beggs, 2006, Ultrasound of the shoulder and elbow, Orthop Clin North Am, 37, 277, 10.1016/j.ocl.2006.03.004
Beggs, 2011, Shoulder ultrasound, Semin Ultrasound CT MR, 32, 101, 10.1053/j.sult.2010.10.003
Bonanno, 2015, Validation of a computer-aided diagnosis system for the automatic identification of carotid atherosclerosis, Ultrasound Med Biol, 41, 509, 10.1016/j.ultrasmedbio.2014.09.004
Brandt, 1989, Rotator cuff sonography: A reassessment, Radiology, 173, 323, 10.1148/radiology.173.2.2678248
de Jesus, 2009, Accuracy of MRI, MR arthrography, and ultrasound in the diagnosis of rotator cuff tears: a meta-analysis, AJR Am J Roentgenol, 192, 1701, 10.2214/AJR.08.1241
de Winter, 1999, Diagnostic classification of shoulder disorders: Interobserver agreement and determinants of disagreement, Ann Rheum Dis, 58, 272, 10.1136/ard.58.5.272
Doi, 2005, Current status and future potential of computer-aided diagnosis in medical imaging, Br J Radiol, 78, S3, 10.1259/bjr/82933343
Giger, 2008, Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM, Med Phys, 35, 5799, 10.1118/1.3013555
Haralick, 1973, Textural features for image classification, IEEE Trans Systems Man Cybernet, 6, 610, 10.1109/TSMC.1973.4309314
Hidalgo-Lozano, 2010, Muscle trigger points and pressure pain hyperalgesia in the shoulder muscles in patients with unilateral shoulder impingement: A blinded, controlled study, Exp Brain Res, 202, 915, 10.1007/s00221-010-2196-4
Horng, 2009, Multi-class classification of ultrasonic supraspinatus images based on radial basis function neural network, J Med Biol Eng, 29, 242
Hosmer, 2000
Joo, 2004, Computer-aided diagnosis of solid breast nodules: Use of an artificial neural network based on multiple sonographic features, IEEE Trans Med Imaging, 23, 1292, 10.1109/TMI.2004.834617
Kamwendo, 1991, Neck and shoulder disorders in medical secretaries: Part I. Pain prevalence and risk factors, Scand J Rehabil Med, 23, 127, 10.2340/165019779123127133
Kashikura, 2013, Improved differential diagnosis of breast masses on ultrasonographic images with a computer-aided diagnosis scheme for determining histological classifications, Acad Radiol, 20, 471, 10.1016/j.acra.2012.11.007
Kayser, 2005, [Validity of ultrasound examinations of disorders of the shoulder joint], Ultraschall Med, 26, 291, 10.1055/s-2005-858525
Kurol, 1991, Sonography for diagnosis of rotator cuff tear: Comparison with observations at surgery in 58 shoulders, Acta Orthop Scand, 62, 465, 10.3109/17453679108996646
Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 33, 159, 10.2307/2529310
Lo, 2015, Quantitative breast lesion classification based on multichannel distributions in shear-wave imaging, Computer Methods Programs Biomed, 122, 354, 10.1016/j.cmpb.2015.09.004
Lo, 2015, Intensity-invariant texture analysis for classification of BI-RADS category 3 breast masses, Ultrasound Med Biol, 41, 2039, 10.1016/j.ultrasmedbio.2015.03.003
Luime, 2004, Prevalence and incidence of shoulder pain in the general population: A systematic review, Scand J Rheumatol, 33, 73, 10.1080/03009740310004667
Macfarlane, 1998, Predictors of chronic shoulder pain: A population based prospective study, J Rheumatol, 25, 1612
Mack, 1985, US evaluation of the rotator cuff, Radiology, 157, 205, 10.1148/radiology.157.1.3898216
Martin-Hervas, 2001, Ultrasonographic and magnetic resonance images of rotator cuff lesions compared with arthroscopy or open surgery findings, J Shoulder Elbow Surg, 10, 410, 10.1067/mse.2001.116515
Middleton, 2004, Sonography of the rotator cuff: analysis of interobserver variability, AJR Am J Roentgenol, 183, 1465, 10.2214/ajr.183.5.1831465
Miller, 2008, A ‘one-stop clinic’ for the diagnosis and management of rotator cuff pathology: Getting the right diagnosis first time, Int J Clin Pract, 62, 750, 10.1111/j.1742-1241.2007.01682.x
Mitchell, 2005, Shoulder pain: diagnosis and management in primary care, Br Med J, 331, 1124, 10.1136/bmj.331.7525.1124
Moon, 2012, Computer-aided classification of breast masses using speckle features of automated breast ultrasound images, Med Phys, 39, 6465, 10.1118/1.4754801
Moon, 2012, Computer-aided diagnosis based on speckle patterns in ultrasound images, Ultrasound Med Biol, 38, 1251, 10.1016/j.ultrasmedbio.2012.02.029
Moosmayer, 2007, Sonography of the rotator cuff in painful shoulders performed without knowledge of clinical information: results from 58 sonographic examinations with surgical correlation, J Clin Ultrasound, 35, 20, 10.1002/jcu.20286
Murphy, 2013, An independent learning method for orthopaedic surgeons performing shoulder ultrasound to identify full-thickness tears of the rotator cuff, J Bone Joint Surg Am, 95, 266, 10.2106/JBJS.K.00706
O'Connor, 2005, Interobserver variation in sonography of the painful shoulder, J Clin Ultrasound, 33, 53, 10.1002/jcu.20088
Park, 2005, Diagnostic accuracy of clinical tests for the different degrees of subacromial impingement syndrome, J Bone Joint Surg Am, 87, 1446, 10.2106/JBJS.D.02335
Petranova, 2012, Ultrasound of the shoulder, Med Ultrason, 14, 133
Read, 1998, Shoulder ultrasound: Diagnostic accuracy for impingement syndrome, rotator cuff tear, and biceps tendon pathology, J Shoulder Elbow Surgery, 7, 264, 10.1016/S1058-2746(98)90055-6
Roberts, 2001, Diagnostic capabilities of shoulder ultrasonography in the detection of complete and partial rotator cuff tears, Am J Orthop, 30, 159
Shahabpour, 2008, The effectiveness of diagnostic imaging methods for the assessment of soft tissue and articular disorders of the shoulder and elbow, Eur J Radiol, 65, 194, 10.1016/j.ejrad.2007.11.012
Smith, 2011, Diagnostic accuracy of ultrasound for rotator cuff tears in adults: A systematic review and meta-analysis, Clin Radiol, 66, 1036, 10.1016/j.crad.2011.05.007
Soble, 1989, Rotator cuff tear: Clinical experience with sonographic detection, Radiology, 173, 319, 10.1148/radiology.173.2.2678247
Teefey, 2000, Ultrasonography of the rotator cuff: A comparison of ultrasonographic and arthroscopic findings in one hundred consecutive cases, J Bone Joint Surg Am, 82, 498, 10.2106/00004623-200004000-00005
Teefey, 2004, Detection and quantification of rotator cuff tears. Comparison of ultrasonographic, magnetic resonance imaging, and arthroscopic findings in seventy-one consecutive cases, J Bone Joint Surg Am, 86, 708, 10.2106/00004623-200404000-00007
van Holsbeeck, 1995, US depiction of partial-thickness tear of the rotator cuff, Radiology, 197, 443, 10.1148/radiology.197.2.7480690
Vlychou, 2009, Symptomatic partial rotator cuff tears: Diagnostic performance of ultrasound and magnetic resonance imaging with surgical correlation, Acta Radiol, 50, 101, 10.1080/02841850802600764
Walker, 2000, The prevalence of low back pain: A systematic review of the literature from 1966 to 1998, J Spinal Disord, 13, 205, 10.1097/00002517-200006000-00003
Wiener, 1993, Sonography of the shoulder in patients with tears of the rotator cuff: accuracy and value for selecting surgical options, AJR Am J Roentgenol, 160, 103, 10.2214/ajr.160.1.8416605