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Extract from the Register of European Patents

EP About this file: EP4338674

EP4338674 - METHOD AND SYSTEM FOR DETERMINING BPE IN A CONTRAST AGENT-ENHANCED BREAST X-RAY EXAMINATION [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  06.09.2024
Database last updated on 30.10.2024
FormerThe application has been published
Status updated on  16.02.2024
Most recent event   Tooltip19.09.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Siemens Healthineers AG
Siemensstraße 3
91301 Forchheim / DE
[2024/12]
Inventor(s)01 / Fieselmann, Andreas
91052 Erlangen / DE
02 / Hörnig, Mathias
91096 Möhrendorf / DE
 [2024/12]
Representative(s)Siemens Healthineers Patent Attorneys
Postfach 22 16 34
80506 München / DE
[N/P]
Former [2024/12]Siemens Healthineers Patent Attorneys
Siemens Healthcare GmbH
SHS TE IP
Henkestraße 127
91052 Erlangen / DE
Application number, filing date22195622.014.09.2022
[2024/12]
Filing languageDE
Procedural languageDE
PublicationType: A1 Application with search report 
No.:EP4338674
Date:20.03.2024
Language:DE
[2024/12]
Search report(s)(Supplementary) European search report - dispatched on:EP13.02.2023
ClassificationIPC:A61B6/00, G06T7/00
[2024/12]
CPC:
A61B6/502 (EP); G06T7/0016 (US); A61B6/481 (EP);
A61B6/482 (EP); A61B6/5217 (EP); G06T7/0012 (EP);
G06T7/44 (EP); G06V10/764 (US); G06T2207/10072 (US);
G06T2207/10116 (EP,US); G06T2207/20036 (EP); G06T2207/30068 (EP,US) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2024/41]
Former [2024/12]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:VERFAHREN UND SYSTEM ZUR BESTIMMUNG DES BPE IN EINER KONTRASTMITTELVERSTÄRKTEN RÖNTGENUNTERSUCHUNG EINER BRUST[2024/12]
English:METHOD AND SYSTEM FOR DETERMINING BPE IN A CONTRAST AGENT-ENHANCED BREAST X-RAY EXAMINATION[2024/12]
French:PROCÉDÉ ET SYSTÈME POUR DÉTERMINER LA BPE DANS UN EXAMEN RADIOGRAPHIQUE D'UN SEIN AMÉLIORÉ PAR UN AGENT DE CONTRASTE[2024/12]
Examination procedure28.08.2024Amendment by applicant (claims and/or description)
03.09.2024Examination requested  [2024/41]
03.09.2024Date on which the examining division has become responsible
Fees paidRenewal fee
19.09.2024Renewal fee patent year 03
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[Y]US2021097677  (HIGHNAM RALPH [NZ], et al) [Y] 8,9* paragraph [0103] - paragraph [0111]; figure - *;
 [XYI]WO2022003656  (VOLPARA HEALTH TECH LIMITED [NZ], et al) [X] 1,4,5,7,10-15 * the whole document * [Y] 8,9 [I] 2,3,6
by applicantEP3073924
    - "Could parenchymal enhancement on contrast-enhanced spectral mammography (CESM) represent a new breast cancer risk factor? Correlation with known radiology risk factors", Clinical Radiology, (20170000), vol. 72, no. 12
    - SORIN et al., "Background Parenchymal Enhancement at Contrast-Enhanced Spectral Mammography (CESM) as a Breast Cancer Risk Factor", Academic Radiology, (20200000), vol. 27, no. 9, pages 1234 - 1240
    - BERGET, "Training Radiologists to Interpret Contrast-enhanced Mammography: Toward a Standardized Lexicon", Journal of Breast Imaging, (20210000), vol. 3, no. 2
    - HA et al., "Fully automated convolutional neural network method for quantification of breast mri fibroglandular tissue and background parenchymal enhancement", J Digit Imaging, (20190000), vol. 32, no. 141
    - SAHA et al., "Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI", Journal of Magnetic Resonance Imaging, (20190000), vol. 50, no. 2, pages 456 - 464
    - BORKOWSKIET, "Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach", Medicine (Baltimore, (20200000), vol. 17, no. 99, page e21243
    - WEI et al., "Fully automatic quantification of fibroglandular tissue and background parenchymal enhancement with accurate implementation for axial and sagittal breast MRI protocols", Medical Physics, (20210000), vol. 48, no. 1, pages 238 - 252
    - NAM et al., "Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine-Learning Models", Journal of Magnetic Resonance Imaging, (20210000), vol. 53, no. 3, pages 818 - 826
    - LAIDEVANT et al., "Compositional breast imaging using a dual-energy mammography protocol", Medical Physics, (20100000), vol. 37, no. 1, doi:10.1118/1.3259715, pages 164 - 174, XP012135524

DOI:   http://dx.doi.org/10.1118/1.3259715
    - MICHIELSEN et al., "Iodine quantification in limited angle tomography", Medical Physics., (20200000), vol. 47, no. 10
    - GENNARO et al., "Quantitative Breast Density in Contrast-Enhanced Mammography", J. Clin. Med., (20210000), vol. 10, no. 15, page 3309
    - FIESELMANN et al., "Volumetric breast density measurement for personalized screening: accuracy, reproducibility, consistency, and agreement with visual assessment", Journal of Medical Imaging, (20190000), vol. 6, no. 3, page 031406
    - EKPOMCENTEE, "Measurement of breast density with digital breast tomosynthesis—a systematic review", British Journal of Radiology, (20140000), vol. 87, no. 1043
    - RELLA et al., "Association between background parenchymal enhancement and tumor response in patients with breast cancer receiving neoadjuvant chemotherapy", Diagnostic Intervential Imaging, (20200000), vol. 101, no. 10, pages 649 - 655
    - WANG et al., "Computerized Detection of Breast Tissue Asymmetry Depicted on Bilateral Mammograms: A Preliminary Study of Breast Risk Stratification", Academic Radiology, (20100000), vol. 17, no. 10, pages 1234 - 1241
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