Magnetic resonance imaging and ultrasound for prediction of residual tumor size in early breast cancer within the ADAPT subtrials

  1. Graeser, Monika ORCID logo
  2. Schrading, Simone
  3. Gluz, Oleg
  4. Strobel, Kevin
  5. Herzog, Christopher
  6. Umutlu, Lale
  7. Frydrychowicz, Alex
  8. Rjosk-Dendorfer, Dorothea
  9. Würstlein, Rachel
  10. Culemann, Ralph
  11. Eulenburg, Christine
  12. Adams, Jascha
  13. Nitzsche, Henrik
  14. Prange, Anna
  15. Kümmel, Sherko
  16. Grischke, Eva-Maria
  17. Forstbauer, Helmut
  18. Braun, Michael
  19. Potenberg, Jochem
  20. von Schumann, Raquel
  21. Aktas, Bahriye
  22. Kolberg-Liedtke, Cornelia
  23. Harbeck, Nadia
  24. Kuhl, Christiane K.
  25. Nitz, Ulrike

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1000 Titel
  • Magnetic resonance imaging and ultrasound for prediction of residual tumor size in early breast cancer within the ADAPT subtrials
1000 Autor/in
  1. Graeser, Monika |
  2. Schrading, Simone |
  3. Gluz, Oleg |
  4. Strobel, Kevin |
  5. Herzog, Christopher |
  6. Umutlu, Lale |
  7. Frydrychowicz, Alex |
  8. Rjosk-Dendorfer, Dorothea |
  9. Würstlein, Rachel |
  10. Culemann, Ralph |
  11. Eulenburg, Christine |
  12. Adams, Jascha |
  13. Nitzsche, Henrik |
  14. Prange, Anna |
  15. Kümmel, Sherko |
  16. Grischke, Eva-Maria |
  17. Forstbauer, Helmut |
  18. Braun, Michael |
  19. Potenberg, Jochem |
  20. von Schumann, Raquel |
  21. Aktas, Bahriye |
  22. Kolberg-Liedtke, Cornelia |
  23. Harbeck, Nadia |
  24. Kuhl, Christiane K. |
  25. Nitz, Ulrike |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-18
1000 Erschienen in
1000 Quellenangabe
  • 23(1):36
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13058-021-01413-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977310/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Prediction of histological tumor size by post-neoadjuvant therapy (NAT) ultrasound and magnetic resonance imaging (MRI) was evaluated in different breast cancer subtypes.!##!Methods!#!Imaging was performed after 12-week NAT in patients enrolled into three neoadjuvant WSG ADAPT subtrials. Imaging performance was analyzed for prediction of residual tumor measuring ≤10 mm and summarized using positive (PPV) and negative (NPV) predictive values.!##!Results!#!A total of 248 and 588 patients had MRI and ultrasound, respectively. Tumor size was over- or underestimated by < 10 mm in 4.4% and 21.8% of patients by MRI and in 10.2% and 15.8% by ultrasound. Overall, NPV (proportion of correctly predicted tumor size ≤10 mm) of MRI and ultrasound was 0.92 and 0.83; PPV (correctly predicted tumor size > 10 mm) was 0.52 and 0.61. MRI demonstrated a higher NPV and lower PPV than ultrasound in hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-positive and in HR-/HER2+ tumors. Both methods had a comparable NPV and PPV in HR-/HER2- tumors.!##!Conclusions!#!In HR+/HER2+ and HR-/HER2+ breast cancer, MRI is less likely than ultrasound to underestimate while ultrasound is associated with a lower risk to overestimate tumor size. These findings may help to select the most optimal imaging approach for planning surgery after NAT.!##!Trial registration!#!Clinicaltrials.gov , NCT01815242 (registered on March 21, 2013), NCT01817452 (registered on March 25, 2013), and NCT01779206 (registered on January 30, 2013).
1000 Sacherschließung
lokal Breast Neoplasms/diagnostic imaging [MeSH]
lokal Female [MeSH]
lokal Aged [MeSH]
lokal Receptors, Estrogen/metabolism [MeSH]
lokal Adult [MeSH]
lokal Receptor, ErbB-2/metabolism [MeSH]
lokal Receptors, Progesterone/metabolism [MeSH]
lokal Humans [MeSH]
lokal Breast cancer
lokal Breast Neoplasms/drug therapy [MeSH]
lokal Residual tumor size
lokal Predictive Value of Tests [MeSH]
lokal Breast Neoplasms/metabolism [MeSH]
lokal Middle Aged [MeSH]
lokal Neoadjuvant Therapy [MeSH]
lokal Ultrasound
lokal Magnetic Resonance Imaging [MeSH]
lokal Neoadjuvant therapy
lokal Magnetic resonance imaging
lokal Neoplasm, Residual [MeSH]
lokal Tumor Burden [MeSH]
lokal Research Article
lokal Breast Neoplasms/pathology [MeSH]
lokal Ultrasonography, Mammary [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-1916-717X|https://frl.publisso.de/adhoc/uri/U2NocmFkaW5nLCBTaW1vbmU=|https://frl.publisso.de/adhoc/uri/R2x1eiwgT2xlZw==|https://frl.publisso.de/adhoc/uri/U3Ryb2JlbCwgS2V2aW4=|https://frl.publisso.de/adhoc/uri/SGVyem9nLCBDaHJpc3RvcGhlcg==|https://frl.publisso.de/adhoc/uri/VW11dGx1LCBMYWxl|https://frl.publisso.de/adhoc/uri/RnJ5ZHJ5Y2hvd2ljeiwgQWxleA==|https://frl.publisso.de/adhoc/uri/Umpvc2stRGVuZG9yZmVyLCBEb3JvdGhlYQ==|https://frl.publisso.de/adhoc/uri/V8O8cnN0bGVpbiwgUmFjaGVs|https://frl.publisso.de/adhoc/uri/Q3VsZW1hbm4sIFJhbHBo|https://frl.publisso.de/adhoc/uri/RXVsZW5idXJnLCBDaHJpc3RpbmU=|https://frl.publisso.de/adhoc/uri/QWRhbXMsIEphc2NoYQ==|https://frl.publisso.de/adhoc/uri/Tml0enNjaGUsIEhlbnJpaw==|https://frl.publisso.de/adhoc/uri/UHJhbmdlLCBBbm5h|https://frl.publisso.de/adhoc/uri/S8O8bW1lbCwgU2hlcmtv|https://frl.publisso.de/adhoc/uri/R3Jpc2Noa2UsIEV2YS1NYXJpYQ==|https://frl.publisso.de/adhoc/uri/Rm9yc3RiYXVlciwgSGVsbXV0|https://frl.publisso.de/adhoc/uri/QnJhdW4sIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/UG90ZW5iZXJnLCBKb2NoZW0=|https://frl.publisso.de/adhoc/uri/dm9uIFNjaHVtYW5uLCBSYXF1ZWw=|https://frl.publisso.de/adhoc/uri/QWt0YXMsIEJhaHJpeWU=|https://frl.publisso.de/adhoc/uri/S29sYmVyZy1MaWVkdGtlLCBDb3JuZWxpYQ==|https://frl.publisso.de/adhoc/uri/SGFyYmVjaywgTmFkaWE=|https://frl.publisso.de/adhoc/uri/S3VobCwgQ2hyaXN0aWFuZSBLLg==|https://frl.publisso.de/adhoc/uri/Tml0eiwgVWxyaWtl
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