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...
Saved in:
Published in | Scientific reports Vol. 14; no. 1; pp. 4578 - 9 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
25.02.2024
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
ISSN | 2045-2322 2045-2322 |
DOI | 10.1038/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 |