Computed tomography adnexal mass score to estimate risk for ovarian cancer

Joseph Santoso, Aimee Robinson, Sri Suganda, Sirinya Praservit, Jim Wan, Fred Ueland

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Objective: We wish to develop a CT scan-based scoring system which estimates the probability of adnexal mass malignancy. Methods: Patients (324) undergoing adnexal mass surgery were recruited into the study from June 1, 2002, to January 1, 2009. All study patients had a preoperative CT scan and serum CA-125 test. CT scan abnormalities included any solid tumor components, ascites, and pelvic or abdominal lymphadenopathy and omental caking. Results: There were 225 (70 %) benign and 99 (30 %) malignant ovarian masses. Using logistic regression with the area under the curve of the receiver operating curve of 82 %, the cancer probability was determined by the equation. e-3.6372+0.0306*(A) + 0.001*(B) + 0.876*(C) + 1.551 *(D) + 1.7377*(E) + 2.76*(F)/ 1+ -3.6372+0.0306 *(A) + 0.001*(B) + 0.876*(C) + 1.551*(D) + 1.7377 *(E) + 2.76*(F) where A = age, B = CA-125, C = solid adnexal mass is 1 and cystic is 0, D = ascites is 1, E = omental caking is 1 and absence is 0, F = node size ≥1 cm is 1 and <1 cm is 0 value. The natural logarithm e is a constant [2.718281828]. For example, for a woman of age 60, CA-125 = 50 U/mL, with solid adnexal mass, ascites, omental caking, and lymphadenopathy, the probability is 0.994. Hence, this woman has a 99.4 % probability of having cancer. Conclusion: The computed tomography adnexal mass score combines CT scan findings, CA-125, and patient age into an equation to predict the malignant probability of an adnexal mass.

Original languageEnglish (US)
Pages (from-to)595-600
Number of pages6
JournalArchives of Gynecology and Obstetrics
Volume289
Issue number3
DOIs
StatePublished - Mar 1 2014

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Ovarian Neoplasms
Tomography
Ascites
Neoplasms
Area Under Curve
Logistic Models
Serum
Lymphadenopathy

All Science Journal Classification (ASJC) codes

  • Obstetrics and Gynecology

Cite this

Computed tomography adnexal mass score to estimate risk for ovarian cancer. / Santoso, Joseph; Robinson, Aimee; Suganda, Sri; Praservit, Sirinya; Wan, Jim; Ueland, Fred.

In: Archives of Gynecology and Obstetrics, Vol. 289, No. 3, 01.03.2014, p. 595-600.

Research output: Contribution to journalArticle

Santoso, Joseph ; Robinson, Aimee ; Suganda, Sri ; Praservit, Sirinya ; Wan, Jim ; Ueland, Fred. / Computed tomography adnexal mass score to estimate risk for ovarian cancer. In: Archives of Gynecology and Obstetrics. 2014 ; Vol. 289, No. 3. pp. 595-600.
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abstract = "Objective: We wish to develop a CT scan-based scoring system which estimates the probability of adnexal mass malignancy. Methods: Patients (324) undergoing adnexal mass surgery were recruited into the study from June 1, 2002, to January 1, 2009. All study patients had a preoperative CT scan and serum CA-125 test. CT scan abnormalities included any solid tumor components, ascites, and pelvic or abdominal lymphadenopathy and omental caking. Results: There were 225 (70 {\%}) benign and 99 (30 {\%}) malignant ovarian masses. Using logistic regression with the area under the curve of the receiver operating curve of 82 {\%}, the cancer probability was determined by the equation. e-3.6372+0.0306*(A) + 0.001*(B) + 0.876*(C) + 1.551 *(D) + 1.7377*(E) + 2.76*(F)/ 1+ -3.6372+0.0306 *(A) + 0.001*(B) + 0.876*(C) + 1.551*(D) + 1.7377 *(E) + 2.76*(F) where A = age, B = CA-125, C = solid adnexal mass is 1 and cystic is 0, D = ascites is 1, E = omental caking is 1 and absence is 0, F = node size ≥1 cm is 1 and <1 cm is 0 value. The natural logarithm e is a constant [2.718281828]. For example, for a woman of age 60, CA-125 = 50 U/mL, with solid adnexal mass, ascites, omental caking, and lymphadenopathy, the probability is 0.994. Hence, this woman has a 99.4 {\%} probability of having cancer. Conclusion: The computed tomography adnexal mass score combines CT scan findings, CA-125, and patient age into an equation to predict the malignant probability of an adnexal mass.",
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AB - Objective: We wish to develop a CT scan-based scoring system which estimates the probability of adnexal mass malignancy. Methods: Patients (324) undergoing adnexal mass surgery were recruited into the study from June 1, 2002, to January 1, 2009. All study patients had a preoperative CT scan and serum CA-125 test. CT scan abnormalities included any solid tumor components, ascites, and pelvic or abdominal lymphadenopathy and omental caking. Results: There were 225 (70 %) benign and 99 (30 %) malignant ovarian masses. Using logistic regression with the area under the curve of the receiver operating curve of 82 %, the cancer probability was determined by the equation. e-3.6372+0.0306*(A) + 0.001*(B) + 0.876*(C) + 1.551 *(D) + 1.7377*(E) + 2.76*(F)/ 1+ -3.6372+0.0306 *(A) + 0.001*(B) + 0.876*(C) + 1.551*(D) + 1.7377 *(E) + 2.76*(F) where A = age, B = CA-125, C = solid adnexal mass is 1 and cystic is 0, D = ascites is 1, E = omental caking is 1 and absence is 0, F = node size ≥1 cm is 1 and <1 cm is 0 value. The natural logarithm e is a constant [2.718281828]. For example, for a woman of age 60, CA-125 = 50 U/mL, with solid adnexal mass, ascites, omental caking, and lymphadenopathy, the probability is 0.994. Hence, this woman has a 99.4 % probability of having cancer. Conclusion: The computed tomography adnexal mass score combines CT scan findings, CA-125, and patient age into an equation to predict the malignant probability of an adnexal mass.

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