Differential blood count as triage tool in evaluation of pelvic masses

ObjectiveTriaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables a...

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Published inInternational journal of gynecological cancer Vol. 31; no. 5; pp. 733 - 743
Main Authors Cramer, Daniel W, Benjamin IV, William J, Vitonis, Allison F, Berkowitz, Ross, Goodman, Annekathryn, Matulonis, Ursula
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.05.2021
by the International Gynecologic Cancer Society and the European Society of Gynaecological Oncology
Elsevier Limited
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Online AccessGet full text
ISSN1048-891X
1525-1438
1525-1438
DOI10.1136/ijgc-2019-001103

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Abstract ObjectiveTriaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone.MethodsFrom pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease.Results337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women.ConclusionsEpidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
AbstractList Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone. From pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease. 337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women. Epidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
ObjectiveTriaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone.MethodsFrom pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease.Results337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women.ConclusionsEpidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone. From pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease. 337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women. Epidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone.OBJECTIVETriaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone.From pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease.METHODSFrom pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease.337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women.RESULTS337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women.Epidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.CONCLUSIONSEpidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone. From pathology reports, patients were classified as havingepithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease. 337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower averageage, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women. Epidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.
Author Vitonis, Allison F
Matulonis, Ursula
Benjamin IV, William J
Cramer, Daniel W
Berkowitz, Ross
Goodman, Annekathryn
AuthorAffiliation Ob/Gyn Epidemiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA, University of Michigan, Ann Arbor, Michigan, USA, Gynecologic Oncology, Brigham and Women’s Hospital, Boston, Massachusetts, USA, Gynecologic Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA, Dana Farber Cancer Institute, Boston, Massachusetts, USA
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– name: 2 University of Michigan, Ann Arbor, Michigan, USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/32487682$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_12677_ACM_2023_13112432
crossref_primary_10_3390_biomedicines10112683
crossref_primary_10_1186_s13048_022_00957_7
crossref_primary_10_1186_s13048_023_01116_2
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ContentType Journal Article
Copyright IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
2021 IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
by the International Gynecologic Cancer Society and the European Society of Gynaecological Oncology.
Copyright_xml – notice: IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
– notice: 2021 IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
– notice: by the International Gynecologic Cancer Society and the European Society of Gynaecological Oncology.
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IsDoiOpenAccess true
IsOpenAccess true
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Issue 5
Keywords ovarian cysts
ovarian cancer
Language English
License http://creativecommons.org/licenses/by-nc-nd/4.0
IGCS and ESGO 2021. No commercial re-use. See rights and permissions. Published by BMJ.
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Contributors DWC was responsible for data collection and writing; WJB was responsible for data analysis and writing; AFV was responsible for database construction, data analysis, and writing; RB was responsible for subject recruitment and writing; AKG was responsible for subject recruitment and writing; and UM was responsible for subject recruitment and writing.
ORCID 0000-0002-8024-3066
OpenAccessLink https://dx.doi.org/10.1136/ijgc-2019-001103
PMID 32487682
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PublicationDate 2021-May-01
PublicationDateYYYYMMDD 2021-05-01
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  year: 2021
  text: 2021-May-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
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PublicationTitle International journal of gynecological cancer
PublicationTitleAlternate Int J Gynecol Cancer
PublicationYear 2021
Publisher Elsevier Inc
by the International Gynecologic Cancer Society and the European Society of Gynaecological Oncology
Elsevier Limited
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Leng (10.1136/ijgc-2019-001103_bb0095) 2005; 40
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Snippet ObjectiveTriaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in...
Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary...
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bmj
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StartPage 733
SubjectTerms Aged
Biomarkers
Breast cancer
CA-125 Antigen - blood
Carcinoma, Ovarian Epithelial - blood
Carcinoma, Ovarian Epithelial - diagnosis
Carcinoma, Ovarian Epithelial - pathology
Chemotherapy
Diagnosis, Differential
Female
Gastric cancer
Humans
Membrane Proteins - blood
Middle Aged
Ovarian cancer
ovarian cysts
Ovarian Neoplasms - blood
Ovarian Neoplasms - diagnosis
Ovarian Neoplasms - pathology
Pelvic Neoplasms - diagnosis
Prospective Studies
Womens health
Title Differential blood count as triage tool in evaluation of pelvic masses
URI https://ijgc.bmj.com/content/31/5/733.full
https://dx.doi.org/10.1136/ijgc-2019-001103
https://ovidsp.ovid.com/ovidweb.cgi?T=JS&NEWS=n&CSC=Y&PAGE=fulltext&D=ovft&AN=00009577-202105000-00013
https://www.ncbi.nlm.nih.gov/pubmed/32487682
https://www.proquest.com/docview/2593637595
https://www.proquest.com/docview/2409189560
https://pubmed.ncbi.nlm.nih.gov/PMC7869695
Volume 31
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