Performance of 2D Synthetic Mammography Versus Digital Mammography in the Detection of Microcalcifications at Screening

被引:20
|
作者
Dodelzon, Katerina [1 ]
Simon, Katherine [1 ]
Dou, Eda [1 ]
Levy, Allison D. [1 ]
Michaels, Aya Y. [1 ]
Askin, Gulce [2 ]
Katzen, Janine T. [1 ]
机构
[1] Weill Cornell Med, Dept Radiol, 525 E 68th St, New York, NY 10065 USA
[2] Weill Cornell Med, Dept Healthcare Policy & Res, Div Biostat & Epidemiol, New York, NY USA
基金
美国国家卫生研究院;
关键词
diagnostic performance; digital breast tomosynthesis; full-field digital mammography; microcalcifications; synthetic mammography; SYNTHESIZED 2-DIMENSIONAL MAMMOGRAPHY; BREAST TOMOSYNTHESIS; DIAGNOSTIC-ACCURACY; IMPLEMENTATION; IMAGES;
D O I
10.2214/AJR.19.21598
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 purpose of this study is to compare the performance of 2D synthetic mammography (SM) to that of full-field digital mammography (FFDM) in the detection of microcalcifications and to evaluate radiologists' preference between the two imaging modalities for assessing calcifications. MATERIALS AND METHODS. A fully crossed, mode-balanced, paired-case (n = 160), retrospective, multireader (n = 3) performance study was implemented to compare screening mammograms acquired with digital breast tomosynthesis and both FFDM and SM between 2015 and 2017. The study cohort included 70 patients with mammograms recalled for microcalcifications (35 with malignant findings and 35 with benign findings) and was supplemented with 90 patients with mammograms with negative findings. In separate sessions, readers interpreted SM or FFDM images by recording a BI-RADS assessment and the probability of malignancy. In a final session that included 70 mammograms with microcalcifications, readers recorded their subjective assessment of microcalcification conspicuity and diagnostic confidence. RESULTS. There was no difference in diagnostic accuracy as assessed by comparing the likelihood of malignancy based on the AUC of plotted ROCs, with AUCs of 91% (95% CI, 83-97%) and 88% (95% CI, 79-95%) observed for SM and FFDM, respectively (p = 0.392), and with noninferiority of SM compared with FFDM (p = 0.011). No significant difference was observed between SM and FFDM in terms of sensitivity (77% vs 73%, respectively; p = 0.366) or negative predictive value (84% vs 82%, respectively; p = 0.598). The specificity and positive predictive value of SM were lower than those of FFDM (91% vs 98%, respectively [p = 0.034], and 87% vs 96%, respectively [p = 0.034]). All readers found calcifications to be more conspicuous on SM (p < 0.0001); however, no significant difference in subjective diagnostic confidence was seen. CONCLUSION. SM is noninferior to FFDM in the detection of microcalcifications. Despite the increased conspicuity of microcalcifications on SM, the subjective diagnostic confidence in the two modalities is comparable.
引用
收藏
页码:1436 / 1444
页数:9
相关论文
共 50 条
  • [21] LCD versus CRT Monitors for Digital Mammography: A Comparison of Observer Performance for the Detection of Clustered Microcalcifications and Masses
    Cha, Joo Hee
    Moon, Woo Kyung
    Cho, Nariya
    Lee, Eun Hye
    Park, Jeong Seon
    Jang, Mi Jung
    [J]. ACTA RADIOLOGICA, 2009, 50 (10) : 1104 - 1108
  • [22] Stepwise Implementation of 2D Synthesized Screening Mammography and Its Effect on Stereotactic Biopsy of Microcalcifications
    Gerlach, Karen E.
    Phalak, Kanchan Ashok
    Cohen, Ethan O.
    Chang, Kiran N.
    Bassett, Roland
    Whitman, Gary J.
    [J]. DIAGNOSTICS, 2023, 13 (13)
  • [23] Baseline Screening Mammography: Performance of Full-Field Digital Mammography Versus Digital Breast Tomosynthesis
    McDonald, Elizabeth S.
    McCarthy, Anne Marie
    Akhtar, Amana L.
    Synnestvedt, Marie B.
    Schnall, Mitchell
    Conant, Emily F.
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2015, 205 (05) : 1143 - 1148
  • [24] Clinical performance metrics of 3D stereoscopic digital mammography compared with 2D digital mammography: observer study
    Daidoji, Akiko
    Aoki, Takatoshi
    Murakami, Seiichi
    Miyata, Mari
    Fujii, Masami
    Katsuki, Takefumi
    Inoue, Yuzuru
    Tashima, Yuko
    Nagata, Yoshika
    Hirata, Keiji
    Tanaka, Fumihiro
    Korogi, Yukunori
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2018, 91 (1086):
  • [25] Comparing accuracy of tomosynthesis plus digital mammography or synthetic 2D mammography in breast cancer screening: baseline results of the MAITA RCT consortium
    Rossi, Paolo Giorgi
    Mancuso, Pamela
    Pattacini, Pierpaolo
    Campari, Cinzia
    Nitrosi, Andrea
    Iotti, Valentina
    Ponti, Antonio
    Frigerio, Alfonso
    Correale, Loredana
    Riggi, Emilia
    Giordano, Livia
    Segnan, Nereo
    Di Leo, Giovanni
    Magni, Veronica
    Sardanelli, Francesco
    Fornasa, Francesca
    Romanucci, Giovanna
    Montemezzi, Stefania
    Falini, Patrizia
    Auzzi, Noemi
    Zappa, Marco
    Ottone, Marta
    Mantellini, Paola
    Duffy, Stephen W.
    Armaroli, Paola
    [J]. EUROPEAN JOURNAL OF CANCER, 2024, 199
  • [26] Breast Cancer Screening via Digital Mammography, Synthetic Mammography, and Tomosynthesis
    Cohen, Ethan O.
    Weaver, Olena O.
    Tso, Hilda H.
    Gerlach, Karen E.
    Leung, Jessica W. T.
    [J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2020, 58 (03) : 470 - 472
  • [27] Lesion conspicuity on synthetic screening mammography compared to full field digital screening mammography
    Giess, Catherine S.
    Raza, Sughra
    Denison, Christine M.
    Yeh, Eren D.
    Gombos, Eva C.
    Frost, Elisabeth P.
    Bay, Camden P.
    Chikarmane, Sona A.
    [J]. CLINICAL IMAGING, 2021, 75 : 90 - 96
  • [28] Deep learning performance for detection and classification of microcalcifications on mammography
    Pesapane, Filippo
    Trentin, Chiara
    Ferrari, Federica
    Signorelli, Giulia
    Tantrige, Priyan
    Montesano, Marta
    Cicala, Crispino
    Virgoli, Roberto
    D'Acquisto, Silvia
    Nicosia, Luca
    Origgi, Daniela
    Cassano, Enrico
    [J]. EUROPEAN RADIOLOGY EXPERIMENTAL, 2023, 7 (01)
  • [29] Deep learning performance for detection and classification of microcalcifications on mammography
    Filippo Pesapane
    Chiara Trentin
    Federica Ferrari
    Giulia Signorelli
    Priyan Tantrige
    Marta Montesano
    Crispino Cicala
    Roberto Virgoli
    Silvia D’Acquisto
    Luca Nicosia
    Daniela Origgi
    Enrico Cassano
    [J]. European Radiology Experimental, 7
  • [30] Breast cancer screening with tomosynthesis (3D mammography) with acquired or synthetic 2D mammography compared with 2D mammography alone (STORM-2): a population-based prospective study
    Bernardi, Daniela
    Macaskill, Petra
    Pellegrini, Marco
    Valentini, Marvi
    Fanto, Carmine
    Ostillio, Livio
    Tuttobene, Paolina
    Luparia, Andrea
    Houssami, Nehmat
    [J]. LANCET ONCOLOGY, 2016, 17 (08): : 1105 - 1113