Preoperative estimation of the pathological breast tumor size in architectural distortions: a comparison of DM, DBT, US, CEM, and MRI.

Saved in:
Bibliographic Details
Title: Preoperative estimation of the pathological breast tumor size in architectural distortions: a comparison of DM, DBT, US, CEM, and MRI.
Authors: Azcona Sáenz, Javier1,2 (AUTHOR) javier.azcona.saenz@psmar.cat, Molero Calafell, Javier3 (AUTHOR), Román Expósito, Marta3 (AUTHOR), Vall Foraster, Elisenda1 (AUTHOR), Comerma Blesa, Laura4 (AUTHOR), Alcántara Souza, Rodrigo1,5 (AUTHOR), Vernet Tomás, María del Mar6 (AUTHOR)
Source: European Radiology. Sep2025, Vol. 35 Issue 9, p5635-5645. 11p.
Subjects: Breast cancer, Digital mammography, Computer-assisted image analysis (Medicine), Magnetic resonance imaging, Breast imaging, Tomosynthesis
Abstract: Objective: This study aims to compare the accuracy of digital mammography (DM), digital breast tomosynthesis (DBT), ultrasound (US), magnetic resonance imaging (MRI), and contrast-enhanced mammography (CEM) in the preoperative evaluation of breast cancer size in architectural distortions (ADs). Additionally, it assesses whether including thin spicules in mammography measurements affects accuracy. Materials and methods: We planned a retrospective analysis of invasive breast cancers presenting as ADs in our breast screening program between 2018 and 2022. Tumor size was measured in mm using DM, DBT, US, MRI, and CEM. Measurements were compared to the surgical specimen sizes. Two measurement approaches for DM and DBT were applied, considering and not considering thin spicules. T-student test was used to compare mean sizes across imaging techniques with the surgical specimen. Results: The study encompassed 59 female patients with 63 ADs. Mean age was 60.1 years (Standard Deviation (SD): 6.3). The cancers included four histological subtypes, ductal (69.8%), lobular (23.8%), tubular (4.8%), and micropapillary (1.6%). All imaging techniques, except for US (mean: 12.4 mm, SD: 5.7), overestimated tumor size compared to histology (mean: 16.40 mm, SD: 9). CEM, MRI, and DBT without thin spicules closely matched histological size. Including thin spicules in DM and DBT led to overestimation. Concordance was highest with CEM (75%) and MRI (67.6%). No significant differences were found between ductal and lobular carcinoma. Conclusion: For preoperative tumor size estimation of breast cancer in ADs, DBT excluding thin spicules, CEM, and MRI seemed most accurate. Including thin spicules in mammography leads to overestimation. Key Points: QuestionIdentifying the most accurate imaging technique for preoperative tumor staging of architectural distortions (ADs) is crucial now that contrast-enhanced mammography (CEM) is widely implemented. FindingsMeasuring thin wispy spicules in ADs on digital (DM) and digital breast tomosynthesis (DBT) should be avoided, as they consistently overestimate pathological tumor stage. Clinical relevancePrecise tumor size estimation in ADs is critical for proper staging and treatment planning. This study favors the use of DBT excluding thin spicules, CEM, and magnetic resonance imaging (MRI) for optimal accuracy. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 187309368
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Preoperative estimation of the pathological breast tumor size in architectural distortions: a comparison of DM, DBT, US, CEM, and MRI.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Azcona+Sáenz%2C+Javier%22">Azcona Sáenz, Javier</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> javier.azcona.saenz@psmar.cat</i><br /><searchLink fieldCode="AR" term="%22Molero+Calafell%2C+Javier%22">Molero Calafell, Javier</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Román+Expósito%2C+Marta%22">Román Expósito, Marta</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vall+Foraster%2C+Elisenda%22">Vall Foraster, Elisenda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Comerma+Blesa%2C+Laura%22">Comerma Blesa, Laura</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alcántara+Souza%2C+Rodrigo%22">Alcántara Souza, Rodrigo</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vernet+Tomás%2C+María+del+Mar%22">Vernet Tomás, María del Mar</searchLink><relatesTo>6</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Sep2025, Vol. 35 Issue 9, p5635-5645. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Breast+cancer%22">Breast cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+mammography%22">Digital mammography</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-assisted+image+analysis+%28Medicine%29%22">Computer-assisted image analysis (Medicine)</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Breast+imaging%22">Breast imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Tomosynthesis%22">Tomosynthesis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: This study aims to compare the accuracy of digital mammography (DM), digital breast tomosynthesis (DBT), ultrasound (US), magnetic resonance imaging (MRI), and contrast-enhanced mammography (CEM) in the preoperative evaluation of breast cancer size in architectural distortions (ADs). Additionally, it assesses whether including thin spicules in mammography measurements affects accuracy. Materials and methods: We planned a retrospective analysis of invasive breast cancers presenting as ADs in our breast screening program between 2018 and 2022. Tumor size was measured in mm using DM, DBT, US, MRI, and CEM. Measurements were compared to the surgical specimen sizes. Two measurement approaches for DM and DBT were applied, considering and not considering thin spicules. T-student test was used to compare mean sizes across imaging techniques with the surgical specimen. Results: The study encompassed 59 female patients with 63 ADs. Mean age was 60.1 years (Standard Deviation (SD): 6.3). The cancers included four histological subtypes, ductal (69.8%), lobular (23.8%), tubular (4.8%), and micropapillary (1.6%). All imaging techniques, except for US (mean: 12.4 mm, SD: 5.7), overestimated tumor size compared to histology (mean: 16.40 mm, SD: 9). CEM, MRI, and DBT without thin spicules closely matched histological size. Including thin spicules in DM and DBT led to overestimation. Concordance was highest with CEM (75%) and MRI (67.6%). No significant differences were found between ductal and lobular carcinoma. Conclusion: For preoperative tumor size estimation of breast cancer in ADs, DBT excluding thin spicules, CEM, and MRI seemed most accurate. Including thin spicules in mammography leads to overestimation. Key Points: QuestionIdentifying the most accurate imaging technique for preoperative tumor staging of architectural distortions (ADs) is crucial now that contrast-enhanced mammography (CEM) is widely implemented. FindingsMeasuring thin wispy spicules in ADs on digital (DM) and digital breast tomosynthesis (DBT) should be avoided, as they consistently overestimate pathological tumor stage. Clinical relevancePrecise tumor size estimation in ADs is critical for proper staging and treatment planning. This study favors the use of DBT excluding thin spicules, CEM, and magnetic resonance imaging (MRI) for optimal accuracy. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187309368
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00330-025-11502-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 5635
    Subjects:
      – SubjectFull: Breast cancer
        Type: general
      – SubjectFull: Digital mammography
        Type: general
      – SubjectFull: Computer-assisted image analysis (Medicine)
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Breast imaging
        Type: general
      – SubjectFull: Tomosynthesis
        Type: general
    Titles:
      – TitleFull: Preoperative estimation of the pathological breast tumor size in architectural distortions: a comparison of DM, DBT, US, CEM, and MRI.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Azcona Sáenz, Javier
      – PersonEntity:
          Name:
            NameFull: Molero Calafell, Javier
      – PersonEntity:
          Name:
            NameFull: Román Expósito, Marta
      – PersonEntity:
          Name:
            NameFull: Vall Foraster, Elisenda
      – PersonEntity:
          Name:
            NameFull: Comerma Blesa, Laura
      – PersonEntity:
          Name:
            NameFull: Alcántara Souza, Rodrigo
      – PersonEntity:
          Name:
            NameFull: Vernet Tomás, María del Mar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 09387994
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: European Radiology
              Type: main
ResultId 1