Measuring the accuracy of diagnostic imaging in symptomatic breast patients: team and individual performance

被引:24
|
作者
Britton, P. [1 ]
Warwick, J. [2 ]
Wallis, M. G. [3 ]
O'Keeffe, S. [1 ]
Taylor, K. [1 ]
Sinnatamby, R. [1 ]
Barter, S. [1 ]
Gaskarth, M. [1 ]
Duffy, S. W. [2 ]
Wishart, G. C. [4 ]
机构
[1] Univ Cambridge, Hosp NHS Fdn Trust, Dept Radiol, Cambridge Breast Unit, Cambridge CB2 0QQ, England
[2] Barts & London Queen Marys Sch Med & Dent, Wolfson Inst Prevent Med, Canc Res UK Ctr Epidemiol Math & Stat, London, England
[3] Univ Cambridge, Hosp NHS Fdn Trust, Cambridge Biomed Res Ctr, Natl Inst Hlth Res, Cambridge CB2 0QQ, England
[4] Univ Cambridge, Hosp NHS Fdn Trust, Dept Surg, Cambridge Breast Unit, Cambridge CB2 0QQ, England
来源
BRITISH JOURNAL OF RADIOLOGY | 2012年 / 85卷 / 1012期
关键词
MAMMOGRAPHY; CANCER; WOMEN; ULTRASOUND;
D O I
10.1259/bjr/32906819
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: The combination of mammography and/or ultrasound remains the mainstay in current breast cancer diagnosis. The aims of this study were to evaluate the reliability of standard breast imaging and individual radiologist performance and to explore ways that this can be improved. Methods: A total of 16 603 separate assessment episodes were undertaken on 13 958 patients referred to a specialist symptomatic breast clinic over a 6 year period. Each mammogram and ultrasound was reported prospectively using a five-point reporting scale and compared with final outcome. Results: Mammographic sensitivity, specificity and receiver operating curve (ROC) area were 66.6%, 99.7% and 0.83, respectively. The sensitivity of mammography improved dramatically from 47.6 to 86.7% with increasing age. Overall ultrasound sensitivity, specificity and ROC area was 82.0%, 99.3% and 0.91, respectively. The sensitivity of ultrasound also improved dramatically with increasing age from 66.7 to 97.1%. Breast density also had a profound effect on imaging performance, with mammographic sensitivity falling from 90.1 to 45.9% and ultrasound sensitivity reducing from 95.2 to 72.0% with increasing breast density. Conclusion: The sensitivity ranges widely between radiologists (53.1-74.1% for mammography and 67.1-87.0% for ultrasound). Reporting sensitivity was strongly correlated with radiologist experience. Those radiologists with less experience (and lower sensitivity) were relatively more likely to report a cancer as indeterminate/uncertain. To improve radiology reporting performance, the sensitivity of cancer reporting should be closely monitored; there should be regular feedback from needle biopsy results and discussion of reporting classification with colleagues.
引用
收藏
页码:415 / 422
页数:8
相关论文
共 50 条
  • [41] Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
    Gilberto J. Aquino
    Jordan Chamberlin
    Basel Yacoub
    Madison R. Kocher
    Ismail Kabakus
    Selcuk Akkaya
    Megan Mercer
    Jeffrey Waltz
    Matthew Fiegel
    Nathan Leaphart
    Athira Jacob
    Mehmet Akif Gulsun
    James Gilkes
    Joe Stephenson
    Puneet Sharma
    Pooyan Sahbaee
    Joseph Schoepf
    Stefan Zimmerman
    Michael E. Field
    Ali M. Agha
    Jeremy R. Burt
    European Radiology, 2022, 32 : 5256 - 5264
  • [42] Diagnostic accuracy of carotid plaque magnetic resonance imaging compared to histopathology in symptomatic carotid artery stenosis
    Jayanandaiah, Akash
    Ayyappan, Anoop
    Paramasivan, Naveen K.
    Narasimhaiah, Deepthi
    Sreedharan, Sapna E.
    Thulaseedharan, Jissa V.
    Sylaja, P. N.
    JOURNAL OF CLINICAL NEUROSCIENCE, 2024, 128
  • [43] Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
    Aquino, Gilberto J.
    Chamberlin, Jordan
    Yacoub, Basel
    Kocher, Madison R.
    Kabakus, Ismail
    Akkaya, Selcuk
    Mercer, Megan
    Waltz, Jeffrey
    Fiegel, Matthew
    Leaphart, Nathan
    Jacob, Athira
    Gulsun, Mehmet Akif
    Gilkes, James
    Stephenson, Joe
    Sharma, Puneet
    Sahbaee, Pooyan
    Schoepf, Joseph
    Zimmerman, Stefan
    Field, Michael E.
    Agha, Ali M.
    Burt, Jeremy R.
    EUROPEAN RADIOLOGY, 2022, 32 (08) : 5256 - 5264
  • [44] The diagnostic yield of head and neck imaging in symptomatic patients with a normal clinical examination
    Goodfellow, Michael
    Lim, Christian
    Tustin, Harry
    Mentias, Youssef
    Cocks, Helen
    HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2022, 44 (11): : 2564 - 2570
  • [45] Imaging of carotid arteries in symptomatic patients: Cost-effectiveness of diagnostic strategies
    Buskens, E
    Nederkoorn, PJ
    Buijs-van der Woude, T
    Mali, WPTM
    Kappelle, LJ
    Eikelboom, BC
    van der Graaf, Y
    Hunink, MGM
    RADIOLOGY, 2004, 233 (01) : 101 - 112
  • [46] Variability in utilization of diagnostic imaging tests in patients with symptomatic peripheral artery disease
    Derbas, Laith A.
    Patel, Krishna K.
    Muskula, Preetham R.
    Wang, Jingyan
    Gosch, Kensey
    Fitridge, Robert
    Spertus, John A.
    Smolderen, Kim G.
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2021, 330 : 200 - 206
  • [47] Measuring Diagnostic Accuracy for Infection in Patients Treated for Sepsis: An Important but Challenging Exercise
    Rhee, Chanu
    Filbin, Michael
    Klompas, Michael
    CLINICAL INFECTIOUS DISEASES, 2023, 76 (12) : 2056 - 2058
  • [48] Performance and operational feasibility of antigen and antibody rapid diagnostic tests for COVID-19 in symptomatic and asymptomatic patients in Cameroon: a clinical, prospective, diagnostic accuracy study
    Boum, Yap
    Fai, Karl Njuwa
    Nikolay, Birgit
    Mboringong, Akenji Blaise
    Bebell, Lisa M.
    Ndifon, Mark
    Abbah, Aristide
    Essaka, Rachel
    Eteki, Lucrece
    Luquero, Francisco
    Langendorf, Celine
    Mbarga, Nicole Fouda
    Essomba, Rene Ghislain
    Buri, Bongkiyung Donald
    Corine, Tchoula Mamiafo
    Kameni, Bertrand Tchualeu
    Mandeng, Nadia
    Fanne, Mahamat
    Bisseck, Anne-Cecile Zoung-Kani
    Ndongmo, Clement B.
    Eyangoh, Sara
    Hamadou, Achta
    Ouamba, Jean Patrick
    Koku, Modeste Tamakloe
    Njouom, Richard
    Claire, Okomo Marie
    Esso, Linda
    Epee, Emilienne
    Mballa, Georges Alain Etoundi
    LANCET INFECTIOUS DISEASES, 2021, 21 (08): : 1089 - 1096
  • [49] Diagnostic accuracy of Tc-99m sestamibi breast imaging in breast cancer detection.
    Khalkhali, I
    VillanuevaMeyer, J
    Edell, SL
    Hanelin, LG
    Lugo, CE
    Taillefer, R
    Freeman, LM
    Neal, CE
    Scheff, AM
    Connolly, JL
    Schnitt, SJ
    Baum, JK
    Houlihan, MJ
    Hale, CA
    Haber, SB
    JOURNAL OF NUCLEAR MEDICINE, 1996, 37 (05) : 287 - 287
  • [50] Digital breast tomosynthesis plus mammography, magnetic resonance imaging plus mammography and mammography alone: A comparison of diagnostic performance in symptomatic women
    Tang, Wei
    Hu, Fei-Xiang
    Zhu, Hui
    Wang, Qi-Feng
    Gu, Ya-Jia
    Peng, Wei-Jun
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2017, 66 (02) : 105 - 116