Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC. We comprehensively reviewed medical records of...
Saved in:
Published in | Cancer research and treatment Vol. 51; no. 3; pp. 1144 - 1155 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Korea (South)
Korean Cancer Association
01.07.2019
대한암학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1598-2998 2005-9256 2005-9256 |
DOI | 10.4143/crt.2018.508 |
Cover
Abstract | Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC.
We comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients' clinico-pathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied.
The median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively.
We successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials. |
---|---|
AbstractList | Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC.
We comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients' clinico-pathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied.
The median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively.
We successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials. Purpose Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC. Materials and Methods We comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients’ clinicopathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied. Results The median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively. Conclusion We successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials. KCI Citation Count: 0 Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC.PURPOSEDiscovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC.We comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients' clinico-pathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied.MATERIALS AND METHODSWe comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients' clinico-pathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied.The median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively.RESULTSThe median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively.We successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials.CONCLUSIONWe successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials. |
Author | Cho, Untack Song, Minsun Lee, Maria Song, Yong-Sang Hwangbo, Suhyun Kim, Se Ik Lee, Sungyoung Kim, Ju-Hyun Kim, Hee Seung Chung, Hyun Hoon Suh, Dae-Shik Park, Taesung |
Author_xml | – sequence: 1 givenname: Se Ik surname: Kim fullname: Kim, Se Ik – sequence: 2 givenname: Minsun surname: Song fullname: Song, Minsun – sequence: 3 givenname: Suhyun surname: Hwangbo fullname: Hwangbo, Suhyun – sequence: 4 givenname: Sungyoung surname: Lee fullname: Lee, Sungyoung – sequence: 5 givenname: Untack surname: Cho fullname: Cho, Untack – sequence: 6 givenname: Ju-Hyun surname: Kim fullname: Kim, Ju-Hyun – sequence: 7 givenname: Maria surname: Lee fullname: Lee, Maria – sequence: 8 givenname: Hee Seung surname: Kim fullname: Kim, Hee Seung – sequence: 9 givenname: Hyun Hoon surname: Chung fullname: Chung, Hyun Hoon – sequence: 10 givenname: Dae-Shik surname: Suh fullname: Suh, Dae-Shik – sequence: 11 givenname: Taesung surname: Park fullname: Park, Taesung – sequence: 12 givenname: Yong-Sang surname: Song fullname: Song, Yong-Sang |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30453728$$D View this record in MEDLINE/PubMed https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002486723$$DAccess content in National Research Foundation of Korea (NRF) |
BookMark | eNptkU1v1DAQhi1URLeFG2eUI0hk8UfsOBekshSoVFFUrcTRcpzJ1mxip7Z3Jf49zm6LAHGawzzzvNK8Z-jEeQcIvSR4WZGKvTMhLSkmcsmxfIIWFGNeNpSLE7QgvJElbRp5is5i_IGxqFhNnqFThivOaioXaPsR9jD4aQSXCt8X36EtP-gIXfHVj34T9BiL5ItvATprUrEOoNOBvYU4eReh0K7La79xPto4Ky4nm-5gsHoobvY6WO2KlXYGwnP0tNdDhBcP8xytP12uV1_K65vPV6uL69JURKay5xgD4bxvSa87AxJ0W3UtBabrtgZBeU9NDa3oWSNEI0lrqlpDTUyHa9yxc_TmqHWhV1tjldf2MDdebYO6uF1fKS7z7zDL7PsjO-3aEXKYS0EPagp21OHn4fLvjbN32bNXQrCGslnw-kEQ_P0OYlKjjQaGQTvwu6goYQJzITnP6Ks_s36HPJaRAXoETPAxBuiVsUkn6-doOyiC1dy4yo2ruXGVG89Hb_85evT-F_8FoF2vTA |
CitedBy_id | crossref_primary_10_1038_s41598_021_86122_4 crossref_primary_10_1016_j_cellsig_2021_109949 crossref_primary_10_1186_s13048_021_00938_2 crossref_primary_10_1186_s12905_023_02864_5 crossref_primary_10_1016_j_currproblcancer_2020_100612 crossref_primary_10_3389_fmicb_2022_912853 crossref_primary_10_2196_25852 crossref_primary_10_3390_cancers14041098 crossref_primary_10_3350_cmh_2021_0174 crossref_primary_10_1002_cam4_5590 crossref_primary_10_1007_s12204_021_2255_y crossref_primary_10_3390_cancers13081875 crossref_primary_10_1002_cncr_32474 crossref_primary_10_3389_fonc_2021_690037 crossref_primary_10_3389_fonc_2022_956380 |
Cites_doi | 10.1016/j.ygyno.2004.01.029 10.1056/NEJMra041842 10.1016/j.ygyno.2011.12.423 10.1038/bjc.2011.364 10.3322/caac.21387 10.4143/crt.2016.282 10.1093/annonc/mds538 10.1016/S1470-2045(17)30279-6 10.1111/j.0006-341X.2005.030814.x 10.1097/IGC.0000000000001182 10.1016/j.ygyno.2007.09.020 10.1200/JCO.2002.20.5.1248 10.1097/01.ogx.0000452705.82050.e4 10.1016/j.ejca.2008.10.026 10.1016/S1470-2045(17)30469-2 10.1002/cncr.21310 10.3802/jgo.2013.24.4.298 10.1200/JCO.2012.42.0505 10.1146/annurev.pathol.4.110807.092246 10.1001/jamaoncol.2015.0735 10.1111/j.1471-0528.2008.02033.x 10.1200/JCO.2007.11.0114 10.1016/j.ygyno.2014.01.036 10.1097/IGC.0b013e3182070f17 10.1038/nature07205 10.1245/s10434-010-0964-9 |
ContentType | Journal Article |
Copyright | Copyright © 2019 by the Korean Cancer Association 2019 |
Copyright_xml | – notice: Copyright © 2019 by the Korean Cancer Association 2019 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM ACYCR |
DOI | 10.4143/crt.2018.508 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) Korean Citation Index |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 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: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 2005-9256 |
EndPage | 1155 |
ExternalDocumentID | oai_kci_go_kr_ARTI_5841403 PMC6639233 30453728 10_4143_crt_2018_508 |
Genre | Multicenter Study Journal Article |
GrantInformation_xml | – fundername: Ministry of Health and Welfare grantid: HI16C2037 – fundername: Korea Health Industry Development Institute |
GroupedDBID | --- 29B 5-W 53G 8JR 9ZL AAYXX ABDBF ACUHS ACYCR ADBBV AENEX ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL CITATION DIK E3Z EBD EF. F5P HYE OK1 RPM TR2 C1A CGR CUY CVF ECM EIF NPM 7X8 5PM 08R M~E |
ID | FETCH-LOGICAL-c418t-f500e155fb1fadce8eab4db2e3a7b7e625f2c7eb6f3966981bc47ae71cd070d3 |
ISSN | 1598-2998 2005-9256 |
IngestDate | Tue Nov 21 21:43:23 EST 2023 Thu Aug 21 18:20:38 EDT 2025 Fri Jul 11 03:53:55 EDT 2025 Thu Apr 03 07:08:11 EDT 2025 Tue Jul 01 03:18:48 EDT 2025 Thu Apr 24 23:04:15 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 3 |
Keywords | Survival outcomes Treatment response Prognosis Ovarian epithelial cancer Ovarian neoplasms Nomograms |
Language | English |
License | This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c418t-f500e155fb1fadce8eab4db2e3a7b7e625f2c7eb6f3966981bc47ae71cd070d3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Se Ik Kim and Minsun Song contributed equally to this work. |
OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC6639233 |
PMID | 30453728 |
PQID | 2136056855 |
PQPubID | 23479 |
PageCount | 12 |
ParticipantIDs | nrf_kci_oai_kci_go_kr_ARTI_5841403 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6639233 proquest_miscellaneous_2136056855 pubmed_primary_30453728 crossref_citationtrail_10_4143_crt_2018_508 crossref_primary_10_4143_crt_2018_508 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-07-01 |
PublicationDateYYYYMMDD | 2019-07-01 |
PublicationDate_xml | – month: 07 year: 2019 text: 2019-07-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Korea (South) |
PublicationPlace_xml | – name: Korea (South) |
PublicationTitle | Cancer research and treatment |
PublicationTitleAlternate | Cancer Res Treat |
PublicationYear | 2019 |
Publisher | Korean Cancer Association 대한암학회 |
Publisher_xml | – name: Korean Cancer Association – name: 대한암학회 |
References | ref13 ref12 ref15 ref14 ref11 ref10 ref1 ref17 ref16 ref19 ref18 Howlader (ref2) 2017 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref27 ref8 ref7 ref9 ref4 ref3 ref6 ref5 |
References_xml | – ident: ref8 doi: 10.1016/j.ygyno.2004.01.029 – ident: ref10 doi: 10.1056/NEJMra041842 – ident: ref14 doi: 10.1016/j.ygyno.2011.12.423 – ident: ref15 doi: 10.1038/bjc.2011.364 – ident: ref1 doi: 10.3322/caac.21387 – ident: ref18 doi: 10.4143/crt.2016.282 – ident: ref16 doi: 10.1093/annonc/mds538 – ident: ref26 doi: 10.1016/S1470-2045(17)30279-6 – ident: ref22 doi: 10.1111/j.0006-341X.2005.030814.x – year: 2017 ident: ref2 – ident: ref19 doi: 10.1097/IGC.0000000000001182 – ident: ref12 doi: 10.1016/j.ygyno.2007.09.020 – ident: ref7 doi: 10.1200/JCO.2002.20.5.1248 – ident: ref24 doi: 10.1097/01.ogx.0000452705.82050.e4 – ident: ref20 doi: 10.1016/j.ejca.2008.10.026 – ident: ref27 doi: 10.1016/S1470-2045(17)30469-2 – ident: ref5 doi: 10.1002/cncr.21310 – ident: ref4 doi: 10.3802/jgo.2013.24.4.298 – ident: ref25 doi: 10.1200/JCO.2012.42.0505 – ident: ref6 doi: 10.1146/annurev.pathol.4.110807.092246 – ident: ref3 doi: 10.1001/jamaoncol.2015.0735 – ident: ref13 doi: 10.1111/j.1471-0528.2008.02033.x – ident: ref11 doi: 10.1200/JCO.2007.11.0114 – ident: ref17 doi: 10.1016/j.ygyno.2014.01.036 – ident: ref21 doi: 10.1097/IGC.0b013e3182070f17 – ident: ref23 doi: 10.1038/nature07205 – ident: ref9 doi: 10.1245/s10434-010-0964-9 |
SSID | ssj0064371 |
Score | 2.241517 |
Snippet | Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized... Purpose Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of... |
SourceID | nrf pubmedcentral proquest pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 1144 |
SubjectTerms | Adult Aged Carcinoma, Ovarian Epithelial - pathology Carcinoma, Ovarian Epithelial - therapy Cytoreduction Surgical Procedures Disease-Free Survival Female Humans Internet Middle Aged Nomograms Original Ovarian Neoplasms - pathology Ovarian Neoplasms - therapy Platinum - therapeutic use Prognosis Retrospective Studies ROC Curve Survival Rate Tertiary Care Centers Treatment Outcome 의약학 |
Title | Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer |
URI | https://www.ncbi.nlm.nih.gov/pubmed/30453728 https://www.proquest.com/docview/2136056855 https://pubmed.ncbi.nlm.nih.gov/PMC6639233 https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002486723 |
Volume | 51 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
ispartofPNX | Cancer Research and Treatment, 2019, 51(3), , pp.1144-1155 |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1db9MwFLXYJk17QXyvfMkgeKoy8uE07eM6NnVIHYgWsTcrTuyt6pZUIQWNX8-9tuOmUycBL2mVpLHSc3Jzb3zuCSHvQgXECFTu-VGSeSwUPW8gcuVlCWOp7yvgCDYnj896o2_s03l8vpIO6e6SWhxkvzf2lfwPqrAOcMUu2X9A1h0UVsB3wBeWgDAs_wrjluIHk77vUnhDuCvl3bPyWsuutH3DlwonY-ru1GnKvxphrGsVQLGd8SU5XmCPxhU-Rv_8E8pouPqPkBdVO4k1a7rWJ8i0xjnB-mpSXzNtIrunrhloYvW_Y1TAO1aOfqXFhSiNRujyZnlbJDSBeHSDQan9hEI3RTVPKKSOZNrudBAaB_Em7Fqf2Vm7KtcxFCo0tim4M0jtAJGsQgls0D-ItSFE3cJ5ca2BxsnfKLE95-tm2s2mLbITJgnO6-8cDj8OT5qbN05jBqY_Aof70B5sj-w2P19LYraKSm2qT27LbFt5y_QBuW8LDnpo2POQ3JPFI7I7tpKKx2TeIhEtFXUkoo5EtC6pJRF1JKINiSjATx2J8BArElFLImoo84RMT46nRyPPvoHDy1jQrz0V-76EjFOJQKVwHn2ZCpaLUEZpIhIJtbMKM3yrjoqgbB5ACZSxJJVJkOVwK8mjp2S7KAu5T2iCvnwDn6WQMbKeylMZQXqGoqxIqEEuO6Tb_KM8s-70-JKUKw5VKkLBAQqOUHCAokPeu70XxpXljv3eAjh8ns042qjj50XJ5xWHYvGUQ-6NbpUd8qbBjkNsxQmztJDl8gcPgwiq_V4_jjvkmcHSDddQoUOSNZTdDjjg-pZidqn92yHJh7Iqen7nMV-QvdV19JJs19VSvoLctxavLV__AOkotAc |
linkProvider | EBSCOhost |
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=Development+of+Web-Based+Nomograms+to+Predict+Treatment+Response+and+Prognosis+of+Epithelial+Ovarian+Cancer&rft.jtitle=Cancer+research+and+treatment&rft.au=Kim%2C+Se+Ik&rft.au=Song%2C+Minsun&rft.au=Hwangbo%2C+Suhyun&rft.au=Lee%2C+Sungyoung&rft.date=2019-07-01&rft.eissn=2005-9256&rft.volume=51&rft.issue=3&rft.spage=1144&rft_id=info:doi/10.4143%2Fcrt.2018.508&rft_id=info%3Apmid%2F30453728&rft.externalDocID=30453728 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1598-2998&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1598-2998&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1598-2998&client=summon |