The utility of quantifying the orientation of breast masses in ultrasound imaging

The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Fu...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 14; no. 1; pp. 4578 - 9
Main Authors Chen, Kailiang, Wu, Size
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 25.02.2024
Nature Publishing Group
Nature Portfolio
Subjects
Online AccessGet full text
ISSN2045-2322
2045-2322
DOI10.1038/s41598-024-55298-w

Cover

Abstract The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 ( P  = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7–88.6) degrees and 15.28 ± 8.40 (range: 0.0–58.7) degrees, respectively, and there was a significant difference between them ( P  < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
AbstractList The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 (P = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7-88.6) degrees and 15.28 ± 8.40 (range: 0.0-58.7) degrees, respectively, and there was a significant difference between them (P < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 (P = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7-88.6) degrees and 15.28 ± 8.40 (range: 0.0-58.7) degrees, respectively, and there was a significant difference between them (P < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 ( P  = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7–88.6) degrees and 15.28 ± 8.40 (range: 0.0–58.7) degrees, respectively, and there was a significant difference between them ( P  < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
Abstract The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 (P = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7–88.6) degrees and 15.28 ± 8.40 (range: 0.0–58.7) degrees, respectively, and there was a significant difference between them (P < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 (P = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7-88.6) degrees and 15.28 ± 8.40 (range: 0.0-58.7) degrees, respectively, and there was a significant difference between them (P < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in predicting breast mass malignancy. A total of 15,746 subjects who underwent breast ultrasound examinations were initially enrolled in the study. Further evaluation was performed on subjects with solid breast masses (≤ 5 cm) intended for surgical resection and/or biopsy. The orientation angle, defined as the acute angle between the align of the maximal longitudinal diameter of the breast mass and the surface of the breast skin, was measured. Receiver operating characteristic (ROC) curve analysis was conducted, and various performance measures including sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and the area under the ROC curve (AUC) were calculated. Multivariate analysis was performed to determine if the orientation angle was an independent predictor of breast malignancy. Decision curve analysis (DCA) was also conducted to assess the net benefit of adopting the orientation angle for predicting breast mass malignancy. The final analysis included 83 subjects with breast cancer and 135 subjects with benign masses. The intra-group correlation coefficient for the measurement of the orientation angle of breast masses was 0.986 (P = 0.001), indicating high reproducibility. The orientation angles of malignant and benign breast masses were 36.51 ± 14.90 (range: 10.7–88.6) degrees and 15.28 ± 8.40 (range: 0.0–58.7) degrees, respectively, and there was a significant difference between them (P < 0.001). The cutoff value for the orientation angle was determined to be 22.9°. The sensitivity, specificity, positive and negative predictive values, accuracy, odds ratio, and AUC for the prediction of breast malignancy using the orientation angle were 88.0%, 87.4%, 81.1%, 92.2%, 87.6%, 50.67%, and 0.925%, respectively. Multivariate analysis revealed that the orientation angle (> 22.9°), not circumscribed margin, and calcifications of the breast mass were independent factors predicting breast malignancy. The net benefit of adopting the orientation angle for predicting breast malignancy was 0.303. Based on these findings, it can be concluded that quantifying the orientation angle of breast masses is useful in predicting breast malignancy, as it demonstrates high sensitivity, specificity, AUC, and standardized net benefit. It optimizes the utility of the not parallel orientation in assessing breast mass malignancy.
ArticleNumber 4578
Author Wu, Size
Chen, Kailiang
Author_xml – sequence: 1
  givenname: Kailiang
  surname: Chen
  fullname: Chen, Kailiang
  organization: Department of Ultrasound, The First Affiliated Hospital of Hainan Medical University
– sequence: 2
  givenname: Size
  surname: Wu
  fullname: Wu, Size
  email: wsz074@aliyun.com
  organization: Department of Ultrasound, The First Affiliated Hospital of Hainan Medical University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38403659$$D View this record in MEDLINE/PubMed
BookMark eNp9UktPFTEUbgxEEPkDLswkbtyM9jm2K2OIDxISQwLrps-hN3NbaDuQ--_tMIDgwm562u9xzmnPG7AXU3QAvEPwE4KEfy4UMcF7iGnPGG7R3StwiCFlPSYY7z2LD8BxKRvYVuNRJF6DA8IpJAMTh-D84sp1cw1TqLsu-e5mVrEGvwtx7GqDUg4uVlVDiguss1OldltViitdiN081axKmqPtwlaNTfYW7Hs1FXf8sB-Byx_fL05-9We_f56efDvrDRW49twr7v3QDtoP0BqrB2gsIcpYSBB0zHL0pSF8IEwLxCnzyCusPCKQcU_JEThdfW1SG3mdW_q8k0kFeX-R8ihVrsFMThLn9YB0M2aIaoMF89ppLAaHlBWaNK-vq9f1rLfOmtZyVtML05dIDFdyTLcSQS4oH1Bz-PjgkNPN7EqV21CMmyYVXZqLxIJgiAckFuqHf6ibNOfY3mphIUowhUt775-X9FTL49c1Al4JJqdSsvNPFATlMiJyHRHZRkTej4i8ayKyikojx9Hlv7n_o_oDmGe_mA
Cites_doi 10.1148/radiology.196.1.7784555
10.1093/jnci/djz113
10.1038/s41598-023-46921-3
10.1016/j.ultrasmedbio.2017.12.001
10.2214/ajr.184.4.01841260
10.1016/j.diii.2017.02.009
10.1186/s12880-014-0041-0
10.1001/jama.2015.12783
10.1371/journal.pone.0278299
10.1016/j.ejrad.2022.110513
10.1159/000456026
10.3322/caac.21660
10.1055/a-1543-6156
10.1002/cncr.31840
10.1177/0969141315623980
10.1016/j.jacr.2023.04.002
10.1002/cncr.32891
10.7863/jum.2006.25.5.649
10.1038/s41598-021-96137-6
10.1038/s41598-021-03806-7
10.1016/j.breast.2019.10.006
10.3233/CH-221456
10.14366/usg.16010
10.1016/j.acra.2020.06.027
10.1016/j.ejrad.2018.01.002
ContentType Journal Article
Copyright The Author(s) 2024
2024. The Author(s).
The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2024
– notice: 2024. The Author(s).
– notice: The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88A
88E
88I
8FE
8FH
8FI
8FJ
8FK
ABUWG
AEUYN
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2P
M7P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
7X8
5PM
DOA
DOI 10.1038/s41598-024-55298-w
DatabaseName Springer Nature Open Access Journals
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability (subscription)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
ProQuest Natural Science Collection
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Science Database
Biological Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
CrossRef



MEDLINE
Publicly Available Content Database
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 3
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 4
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 5
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2045-2322
EndPage 9
ExternalDocumentID oai_doaj_org_article_3efb61bd03514bc295fbeb296e1ad9b3
PMC10894861
38403659
10_1038_s41598_024_55298_w
Genre Journal Article
GroupedDBID 0R~
3V.
4.4
53G
5VS
7X7
88A
88E
88I
8FE
8FH
8FI
8FJ
AAFWJ
AAJSJ
AAKDD
ABDBF
ABUWG
ACGFS
ACSMW
ACUHS
ADBBV
ADRAZ
AENEX
AEUYN
AFKRA
AJTQC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
C6C
CCPQU
DIK
DWQXO
EBD
EBLON
EBS
ESX
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HH5
HMCUK
HYE
KQ8
LK8
M0L
M1P
M2P
M48
M7P
M~E
NAO
OK1
PIMPY
PQQKQ
PROAC
PSQYO
RNT
RNTTT
RPM
SNYQT
UKHRP
AASML
AAYXX
AFPKN
CITATION
PHGZM
PHGZT
CGR
CUY
CVF
ECM
EIF
NPM
7XB
8FK
AARCD
K9.
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
PRINS
Q9U
7X8
PUEGO
5PM
ID FETCH-LOGICAL-c492t-8fa8ff6c49bf60dcdb60cd33acd0310e5d817f608635b91845f1fa2af13058f43
IEDL.DBID 7X7
ISSN 2045-2322
IngestDate Wed Aug 27 01:02:00 EDT 2025
Thu Aug 21 18:35:08 EDT 2025
Thu Sep 04 22:51:35 EDT 2025
Wed Aug 13 10:54:16 EDT 2025
Wed Feb 19 02:08:06 EST 2025
Tue Jul 01 00:51:28 EDT 2025
Fri Feb 21 02:37:58 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Malignancy
Breast imaging-reporting and data system (BI-RADS)
Angle
Orientation
Breast mass
Language English
License 2024. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c492t-8fa8ff6c49bf60dcdb60cd33acd0310e5d817f608635b91845f1fa2af13058f43
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://www.proquest.com/docview/2931432404?pq-origsite=%requestingapplication%
PMID 38403659
PQID 2931432404
PQPubID 2041939
PageCount 9
ParticipantIDs doaj_primary_oai_doaj_org_article_3efb61bd03514bc295fbeb296e1ad9b3
pubmedcentral_primary_oai_pubmedcentral_nih_gov_10894861
proquest_miscellaneous_2932026191
proquest_journals_2931432404
pubmed_primary_38403659
crossref_primary_10_1038_s41598_024_55298_w
springer_journals_10_1038_s41598_024_55298_w
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-02-25
PublicationDateYYYYMMDD 2024-02-25
PublicationDate_xml – month: 02
  year: 2024
  text: 2024-02-25
  day: 25
PublicationDecade 2020
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Scientific reports
PublicationTitleAbbrev Sci Rep
PublicationTitleAlternate Sci Rep
PublicationYear 2024
Publisher Nature Publishing Group UK
Nature Publishing Group
Nature Portfolio
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
– name: Nature Portfolio
References Lin, Wu (CR12) 2022; 17
Wu, Cui, Huang, Bai (CR15) 2017; 12
Sung (CR1) 2021; 71
Duggan (CR2) 2020; 126
Golatta (CR14) 2023; 44
CR11
Okello, Kisembo, Bugeza, Galukande (CR22) 2014; 14
Pal Choudhury (CR5) 2020; 112
Coffey, Jochelson (CR13) 2022; 156
Ferre, Pare, Mesurolle (CR21) 2017; 98
Jung, Jung, Stroszczynski, Wiesinger (CR16) 2021; 11
Hong, Rosen, Soo, Baker (CR10) 2005; 184
Michalopoulos, Duffy (CR6) 2016; 23
Oeffinger (CR4) 2015; 314
Monticciolo, Newell, Moy, Lee, Destounis (CR7) 2023; 20
Guo (CR20) 2018; 44
Pertuz (CR19) 2023; 13
CR9
CR25
Costantini, Belli, Lombardi, Franceschini, Mulè, Bonomo (CR26) 2006; 25
CR24
Wang, Zhan, Chen, Li, Chen, Shen (CR23) 2020; 49
Tabár (CR3) 2019; 125
Stavros, Thickman, Rapp, Dennis, Parker, Sisney (CR8) 1995; 196
Shi (CR17) 2022; 82
Kim (CR18) 2021; 11
Q Guo (55298_CR20) 2018; 44
KC Oeffinger (55298_CR4) 2015; 314
AT Stavros (55298_CR8) 1995; 196
55298_CR25
XQ Shi (55298_CR17) 2022; 82
M Costantini (55298_CR26) 2006; 25
EM Jung (55298_CR16) 2021; 11
L Tabár (55298_CR3) 2019; 125
H Wang (55298_CR23) 2020; 49
J Kim (55298_CR18) 2021; 11
H Sung (55298_CR1) 2021; 71
R Ferre (55298_CR21) 2017; 98
55298_CR9
55298_CR11
P Pal Choudhury (55298_CR5) 2020; 112
K Coffey (55298_CR13) 2022; 156
S Wu (55298_CR15) 2017; 12
S Pertuz (55298_CR19) 2023; 13
J Okello (55298_CR22) 2014; 14
D Michalopoulos (55298_CR6) 2016; 23
DL Monticciolo (55298_CR7) 2023; 20
C Duggan (55298_CR2) 2020; 126
M Lin (55298_CR12) 2022; 17
55298_CR24
M Golatta (55298_CR14) 2023; 44
AS Hong (55298_CR10) 2005; 184
References_xml – volume: 196
  start-page: 123
  year: 1995
  end-page: 134
  ident: CR8
  article-title: Solid breast nodules: Use of sonography to distinguish between benign and malignant lesions
  publication-title: Radiology
  doi: 10.1148/radiology.196.1.7784555
– volume: 112
  start-page: 278
  year: 2020
  end-page: 285
  ident: CR5
  article-title: Comparative validation of breast cancer risk prediction models and projections for future risk stratification
  publication-title: J. Natl. Cancer Inst.
  doi: 10.1093/jnci/djz113
– volume: 13
  start-page: 20545
  year: 2023
  ident: CR19
  article-title: Saliency of breast lesions in breast cancer detection using artificial intelligence
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-023-46921-3
– volume: 44
  start-page: 815
  year: 2018
  end-page: 824
  ident: CR20
  article-title: Assessing risk category of breast cancer by ultrasound imaging characteristics
  publication-title: Ultrasound Med. Biol.
  doi: 10.1016/j.ultrasmedbio.2017.12.001
– volume: 184
  start-page: 1260
  year: 2005
  end-page: 1265
  ident: CR10
  article-title: BI-RADS for sonography: Positive and negative predictive values of sonographic features
  publication-title: AJR. Am. J. Roentgenol.
  doi: 10.2214/ajr.184.4.01841260
– volume: 98
  start-page: 409
  year: 2017
  end-page: 413
  ident: CR21
  article-title: Ultrasound features of retroareolar breast carcinoma
  publication-title: Diagn Interv. Imaging
  doi: 10.1016/j.diii.2017.02.009
– volume: 14
  start-page: 41
  year: 2014
  ident: CR22
  article-title: Breast cancer detection using sonography in women with mammographically dense breasts
  publication-title: BMC Med. Imaging
  doi: 10.1186/s12880-014-0041-0
– volume: 314
  start-page: 1599
  year: 2015
  end-page: 1614
  ident: CR4
  article-title: Breast cancer screening for women at average risk: 2015 Guideline update from the American cancer society
  publication-title: JAMA
  doi: 10.1001/jama.2015.12783
– volume: 17
  year: 2022
  ident: CR12
  article-title: Ultrasound classification of non-mass breast lesions following BI-RADS presents high positive predictive value
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0278299
– volume: 156
  year: 2022
  ident: CR13
  article-title: Contrast-enhanced mammography in breast cancer screening
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2022.110513
– ident: CR25
– volume: 12
  start-page: 98
  year: 2017
  end-page: 101
  ident: CR15
  article-title: Combining virtual touch tissue imaging and BI-RADS may improve breast solid lesions evaluation
  publication-title: Breast Care
  doi: 10.1159/000456026
– volume: 71
  start-page: 209
  year: 2021
  end-page: 249
  ident: CR1
  article-title: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
  publication-title: CA Cancer J. Clin.
  doi: 10.3322/caac.21660
– volume: 44
  start-page: 162
  year: 2023
  end-page: 168
  ident: CR14
  article-title: The potential of shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis: An international, diagnostic
  publication-title: Multicent. Trial. Ultraschall. Med.
  doi: 10.1055/a-1543-6156
– volume: 125
  start-page: 515
  year: 2019
  end-page: 523
  ident: CR3
  article-title: The incidence of fatal breast cancer measures the increased effectiveness of therapy in women participating in mammography screening
  publication-title: Cancer
  doi: 10.1002/cncr.31840
– volume: 23
  start-page: 192
  year: 2016
  end-page: 202
  ident: CR6
  article-title: Estimation of overdiagnosis using short-term trends and lead time estimates uncontaminated by overdiagnosed cases: Results from the Norwegian breast screening programme
  publication-title: J. Med. Screen
  doi: 10.1177/0969141315623980
– volume: 20
  start-page: 902
  year: 2023
  end-page: 914
  ident: CR7
  article-title: Breast cancer screening for women at higher-than-average risk: Updated recommendations from the ACR
  publication-title: J. Am. Coll. Radiol.
  doi: 10.1016/j.jacr.2023.04.002
– volume: 126
  start-page: 2339
  year: 2020
  end-page: 2352
  ident: CR2
  article-title: The breast health global initiative 2018 global summit on improving breast healthcare through resource-stratified phased implementation: Methods and overview
  publication-title: Cancer
  doi: 10.1002/cncr.32891
– ident: CR11
– volume: 25
  start-page: 649
  year: 2006
  end-page: 661
  ident: CR26
  article-title: Characterization of solid breast masses: Use of the sonographic breast imaging reporting and data system lexicon
  publication-title: J. Ultrasound Med.
  doi: 10.7863/jum.2006.25.5.649
– ident: CR9
– volume: 11
  start-page: 17677
  year: 2021
  ident: CR16
  article-title: Quantification of dynamic contrast-enhanced ultrasound (CEUS) in non-cystic breast lesions using external perfusion software
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-96137-6
– volume: 11
  start-page: 24382
  year: 2021
  ident: CR18
  article-title: Weakly-supervised deep learning for ultrasound diagnosis of breast cancer
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-03806-7
– volume: 49
  start-page: 33
  year: 2020
  end-page: 40
  ident: CR23
  article-title: Sonography with vertical orientation feature predicts worse disease outcome in triple negative breast cancer
  publication-title: Breast
  doi: 10.1016/j.breast.2019.10.006
– volume: 82
  start-page: 157
  year: 2022
  end-page: 168
  ident: CR17
  article-title: Accuracy of conventional ultrasound, contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging in assessing the size of breast cancer
  publication-title: Clin. Hemorheol. Microcirc.
  doi: 10.3233/CH-221456
– ident: CR24
– volume: 13
  start-page: 20545
  year: 2023
  ident: 55298_CR19
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-023-46921-3
– volume: 98
  start-page: 409
  year: 2017
  ident: 55298_CR21
  publication-title: Diagn Interv. Imaging
  doi: 10.1016/j.diii.2017.02.009
– volume: 17
  year: 2022
  ident: 55298_CR12
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0278299
– ident: 55298_CR25
  doi: 10.14366/usg.16010
– ident: 55298_CR9
– volume: 49
  start-page: 33
  year: 2020
  ident: 55298_CR23
  publication-title: Breast
  doi: 10.1016/j.breast.2019.10.006
– volume: 184
  start-page: 1260
  year: 2005
  ident: 55298_CR10
  publication-title: AJR. Am. J. Roentgenol.
  doi: 10.2214/ajr.184.4.01841260
– volume: 126
  start-page: 2339
  year: 2020
  ident: 55298_CR2
  publication-title: Cancer
  doi: 10.1002/cncr.32891
– volume: 112
  start-page: 278
  year: 2020
  ident: 55298_CR5
  publication-title: J. Natl. Cancer Inst.
  doi: 10.1093/jnci/djz113
– volume: 196
  start-page: 123
  year: 1995
  ident: 55298_CR8
  publication-title: Radiology
  doi: 10.1148/radiology.196.1.7784555
– ident: 55298_CR11
  doi: 10.1016/j.acra.2020.06.027
– volume: 23
  start-page: 192
  year: 2016
  ident: 55298_CR6
  publication-title: J. Med. Screen
  doi: 10.1177/0969141315623980
– volume: 11
  start-page: 24382
  year: 2021
  ident: 55298_CR18
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-03806-7
– volume: 314
  start-page: 1599
  year: 2015
  ident: 55298_CR4
  publication-title: JAMA
  doi: 10.1001/jama.2015.12783
– volume: 20
  start-page: 902
  year: 2023
  ident: 55298_CR7
  publication-title: J. Am. Coll. Radiol.
  doi: 10.1016/j.jacr.2023.04.002
– volume: 14
  start-page: 41
  year: 2014
  ident: 55298_CR22
  publication-title: BMC Med. Imaging
  doi: 10.1186/s12880-014-0041-0
– volume: 12
  start-page: 98
  year: 2017
  ident: 55298_CR15
  publication-title: Breast Care
  doi: 10.1159/000456026
– volume: 82
  start-page: 157
  year: 2022
  ident: 55298_CR17
  publication-title: Clin. Hemorheol. Microcirc.
  doi: 10.3233/CH-221456
– ident: 55298_CR24
  doi: 10.1016/j.ejrad.2018.01.002
– volume: 25
  start-page: 649
  year: 2006
  ident: 55298_CR26
  publication-title: J. Ultrasound Med.
  doi: 10.7863/jum.2006.25.5.649
– volume: 125
  start-page: 515
  year: 2019
  ident: 55298_CR3
  publication-title: Cancer
  doi: 10.1002/cncr.31840
– volume: 44
  start-page: 162
  year: 2023
  ident: 55298_CR14
  publication-title: Multicent. Trial. Ultraschall. Med.
  doi: 10.1055/a-1543-6156
– volume: 11
  start-page: 17677
  year: 2021
  ident: 55298_CR16
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-96137-6
– volume: 71
  start-page: 209
  year: 2021
  ident: 55298_CR1
  publication-title: CA Cancer J. Clin.
  doi: 10.3322/caac.21660
– volume: 156
  year: 2022
  ident: 55298_CR13
  publication-title: Eur. J. Radiol.
  doi: 10.1016/j.ejrad.2022.110513
– volume: 44
  start-page: 815
  year: 2018
  ident: 55298_CR20
  publication-title: Ultrasound Med. Biol.
  doi: 10.1016/j.ultrasmedbio.2017.12.001
SSID ssj0000529419
Score 2.416767
Snippet The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation in...
Abstract The aim of this study was to quantify the orientation of breast masses and determine whether it can enhance the utility of a not parallel orientation...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 4578
SubjectTerms 631/67
692/4028
692/699
692/700
Angle
Biopsy
Breast - diagnostic imaging
Breast - pathology
Breast cancer
Breast imaging-reporting and data system (BI-RADS)
Breast mass
Breast Neoplasms - diagnostic imaging
Breast Neoplasms - pathology
Correlation coefficient
Female
Humanities and Social Sciences
Humans
Malignancy
multidisciplinary
Multivariate analysis
Orientation
Reproducibility of Results
Science
Science (multidisciplinary)
Sensitivity and Specificity
Ultrasonic imaging
Ultrasonography, Mammary - methods
Ultrasound
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxRBDA9SEHwRv91aZQTfdOl838yjlpYiKAgW-jbMJx7YPe3dUfrfm5ndO3t-4IuPuxl2QzIhCUl-AXjFM4-pJLTvOKO9TJT2QWTWJ59mHn1SUa0U8-GjPj2T78_V-Y1VX7UnbIQHHgV3KHIJmoVUK14yRG5VCZgNWp2ZTzY0nE9q6Y1kakT15lYyO03JUGEOl-ip6jQZl71CoumvdjxRA-z_U5T5e7PkLxXT5ohO7sHdKYIkb0fO78OtPDyA2-NOyeuH8AkVT_A21fCaLAr5vva1H6hOMxEM9sjicj6NGw2VHGpT-opc-Fr8JfOBrL_i_5d12RKZX7QVRo_g7OT489FpP-1N6KO0fNWb4k0pGh9C0TTFFDSNSQgfUwUCzSoZNkOKwWAjWEzxVGHFc1_QnylTpHgMe8NiyE-BSK1yCDSx7L2UwYaoojBea-tnXsjSweuNDN23ER7DtbK2MG6UuEOJuyZxd9XBuyrm7ckKbd1eoMLdpHD3L4V3cLBRkpvsbekwaGENW1B28HJLRkup5Q8_5MW6neEt42QdPBl1uuVEYJ4rtLIdmB1t77C6SxnmXxoaN6PGSqPxo282F-MnX3-Xxf7_kMUzuMPrja4j9uoA9laX6_wcg6RVeNHs4QcyShEX
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3di9QwEB_OE8EX8dvqKRF802rzucmDiIrHIZwguHBvIWkSb-Gu9faD8_57J2l3ZXX1re2kTTqZYX7DZGYAXrDI2pAC6nc7aWoRmqb2PNI6uDBxaJOSLKGY4y_qaCo-n8iTPVi3OxoZuNjp2uV-UtP52eufF1fvUOHfDinj-s0CjVBOFGOilpLh1eU1uI6WSWVn7HiE-0Otb2YENWPuzO5Xt-xTKeO_C3v-fYTyjzhqMU-Ht-HWiCvJ-0EQ7sBe7O7CjaHT5NU9-IriQFDGMugmfSIXK5dPCeUcJ4IQkPTz2ZiE1GWyz0fVl-Tc5ZAwmXVkdYbzL3ILJjI7L42N7sP08NO3j0f12E2hboVhy1onp1NSeOOTakIbvGrawLlrQy4PGmXQdIIUjRDEG3T8ZKLJMZfQykmdBH8A-13fxUdAhJLR-ybQ6JwQ3vhWtlw7pYybOC5SBS_XPLQ_hqIZtgS7ubYDxy1y3BaO28sKPmQ2b0bmgtflQT__bkf9sTwmr6gPOfApfMuMTD56ZlSkLhjPKzhYb5JdC5FFKENLxUFRwfMNGfUnB0VcF_tVGcOKH0oreDjs6WYlHL1frqSpQG_t9tZStynd7LTU6KaNNkIr_OirtWD8Xte_efH4_7_xBG6yLKs5pV4ewP5yvopPERQt_bMi6b8AiCsK7Q
  priority: 102
  providerName: Scholars Portal
– databaseName: Springer Nature Open Access Journals
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlR1Na9VAcKgVwYvU77RVVvCmwezn2z3Wh6UICoKF3pbd7K4-sIm-D4r_vrOb5JWn9eAtyWySYWY2M5P5AnjNImtDCri_21lTi9A0teeR1sGFmUOdlGQJxXz6rM7OxccLebEHbKqFKUn7paVl-UxP2WHvVqhocjEYE7WUDI-u7sBdjX5dluq5mm__q-TIlaBmrI9puL7l1h0dVFr132Zf_p0m-UestKig0wN4MNqO5GTA9iHsxe4R3BumSf5-DF-Q5QTlKBvWpE_k18blTKBcx0TQzCP9cjEWGnUZ7HM6-ppcuhz2JYuObH7g-1d5zBJZXJbhRU_g_PTD1_lZPU5MqFth2LrWyemUFJ74pJrQBq-aNnDu2pBbgEYZNJ0hRKOZ4Q06dzLR5JhLqMmkToI_hf2u7-JzIELJ6H0TaHROCG98K1uunVLGzRwXqYI3Ew3tz6Exhi0Bba7tQHGLFLeF4vaqgveZzNuVual1udAvv9mRyZbH5BX1IQc3hW-Zkcmj429UpC4Yzys4nphkx522smiu0NJVUFTwagvGPZIDH66L_aasYcXXpBU8G3i6xYSjh8uVNBXoHW7voLoL6RbfSx9u2mgjtMKHvp0E4wavf9Pi8P-WH8F9lmU3l9HLY9hfLzfxBRpCa_-ySP41NIEF3w
  priority: 102
  providerName: Springer Nature
Title The utility of quantifying the orientation of breast masses in ultrasound imaging
URI https://link.springer.com/article/10.1038/s41598-024-55298-w
https://www.ncbi.nlm.nih.gov/pubmed/38403659
https://www.proquest.com/docview/2931432404
https://www.proquest.com/docview/2932026191
https://pubmed.ncbi.nlm.nih.gov/PMC10894861
https://doaj.org/article/3efb61bd03514bc295fbeb296e1ad9b3
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3ZatwwULQJhb6U3nWbLir0rTWxrMPSU9ksCWEhoVdg34TOdqGxkz0I_fuOZO-G7fViY42w5ZmRZjSjmUHobR1q56OH-e2aqmS-qkpLAym98Y0BmRR5dsWcnYvTCzad8dlgcFsOxyo3a2JeqH3nko38EMQSydnj2Ier6zJVjUre1aGExl20n1OXAT83s2ZrY0leLEbUECtTUXm4BHmVYspqVnIAyvJmRx7ltP1_0zX_PDL5m980i6OTh-jBoEficU_4R-hOaB-je31lyZ9P0CcgPwaeSko27iK-Xpt0KijFNGFQ-XC3mA9BR20C23Q0fYUvTXIB43mL1z_g-8tUcgnPL3Mho6fo4uT46-S0HKonlI6pelXKaGSMAh5sFJV33orKeUqN8ykdaOBekgYgElQOq2CjxyOJpjYRpBqXkdFnaK_t2vACYSZ4sLbyJBjDmFXWcUelEUKZxlAWC_Rug0N91SfJ0Nm5TaXuMa4B4zpjXN8U6CihedszJbjODd3imx7mi6YhWkGsT45OZl2teLTB1koEYryytEAHGyLpYdYt9S2PFOjNFgzzJTlBTBu6de5T530nKdDznqbbkVDY7VLBVYHkDrV3hroLaeffc05uUknFpICXvt8wxu24_o2Ll___jVfofp14NYXQ8wO0t1qsw2tQglZ2lDl9hPbH4-mXKdyPjs8_fobWiZiMsmEBrmdM_gK0TQ0x
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQwcFS2QnBBvAkUMBKcIGriR9Y5IESh1Za2K0Ct1JtrxzasRLPtPrTqT_GNjJ1kq-V16zEZy3HGM54ZzwvgJXW0st4if1f9LOU2y1LDXJ5abfsaZZIX0RVzMCwGR_zTsTheg59dLkwIq-zOxHhQ23EV7sg3USzlsXocf3d2noauUcG72rXQaMhiz10s0GSbvt39iPv7itKd7cMPg7TtKpBWvKSzVHotvS_wwfgis5U1RVZZxnRlQ5lMJ6zM-wiRKIpNiQaQ8LnXVHs87YX0nOG812Cdh4zWHqxvbQ8_f13e6gS_Gc_LNjsnY3JzihIyZLFRngoEynSxIgFjo4C_abd_Bmn-5qmNAnDnNtxqNVfyviG1O7Dm6rtwvelleXEPviDBEaTioNaTsSfncx3ikEIWFUElk4wnozbNqQ5gE4LhZ-RUB6czGdVk_gO_Pw1NnsjoNLZOug9HV4LZB9Crx7V7BIQXwhmT2dxpzbkpTSUqJnVRlLqvGfcJvO5wqM6ashwqutOZVA3GFWJcRYyrRQJbAc3LkaGkdnwxnnxTLYcq5rwpcmODa5WbipbCG2doWbhc29KwBDa6TVItn0_VJVUm8GIJRg4Nbhddu_E8jqHR0s0TeNjs6XIlDO1rVogyAbmy2ytLXYXUo--xCnieyZLLAid90xHG5br-jYvH__-N53BjcHiwr_Z3h3tP4CYNdBsS-MUG9GaTuXuKKtjMPGvpnsDJVbPaL4r7RjQ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQw0CpFIC6IN4ECRoITRBs_4xwQAsqqpVCBRKXeXDu2YSWatPvQqr_G1zF2kq2W163HZCzHGc94ZjwvhJ5RT2sXHPB3XRY5d0WRW-ZJ7owrDcikIJIr5tO-3DngHw7F4Qb6OeTCxLDK4UxMB7Vr63hHPgKxRFL1OD4KfVjE5-3x65PTPHaQip7WoZ1GRyJ7_mwJ5tvs1e427PVzSsfvv77byfsOA3nNKzrPVTAqBAkPNsjC1c7KonaMmdrFkpleOEVKgCgQy7YCY0gEEgw1AU5-oQJnMO8ldLlkoFUBL5WH5ep-J3rQOKn6PJ2CqdEMZGXMZ6M8FwBU-XJNFqaWAX_Tc_8M1_zNZ5tE4fgGut7rsPhNR3Q30YZvbqErXVfLs9voC5AeBnqOCj5uAz5dmBiRFPOpMKibuJ1O-oSnJoJtDIuf42MT3c940uDFD_j-LLZ7wpPj1ETpDjq4ELzeRZtN2_j7CHMpvLWFI94Yzm1la1EzZaSsTGkYDxl6MeBQn3QFOnRyrDOlO4xrwLhOGNfLDL2NaF6NjMW104t2-k33vKqZD1YS66KTlduaViJYb2klPTGusixDW8Mm6Z7jZ_qcPjP0dAUGXo0OGNP4dpHG0GTzkgzd6_Z0tRIGljaTosqQWtvttaWuQ5rJ91QPnBSq4krCpC8Hwjhf179x8eD_v_EEXQUG0x939_ceoms0km3M5BdbaHM-XfhHoIvN7eNE9BgdXTSX_QLmSUj7
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+utility+of+quantifying+the+orientation+of+breast+masses+in+ultrasound+imaging&rft.jtitle=Scientific+reports&rft.au=Chen%2C+Kailiang&rft.au=Wu%2C+Size&rft.date=2024-02-25&rft.pub=Nature+Publishing+Group&rft.eissn=2045-2322&rft.volume=14&rft.issue=1&rft.spage=4578&rft_id=info:doi/10.1038%2Fs41598-024-55298-w&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon