Risk of Pre-Malignancy or Malignancy in Postmenopausal Endometrial Polyps: A CHAID Decision Tree Analysis.

cancer risk endometrial cancer endometrial hyperplasia endometrial polyp postmenopausal women ultrasound

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
15 Jun 2021
Historique:
received: 23 05 2021
revised: 06 06 2021
accepted: 08 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

Postmenopausal endometrial polyps are commonly managed by surgical resection; however, expectant management may be considered for some women due to the presence of medical co-morbidities, failed hysteroscopies or patient's preference. This study aimed to identify patient characteristics and ultrasound morphological features of polyps that could aid in the prediction of underlying pre-malignancy or malignancy in postmenopausal polyps. Women with consecutive postmenopausal polyps diagnosed on ultrasound and removed surgically were recruited between October 2015 to October 2018 prospectively. Polyps were defined on ultrasound as focal lesions with a regular outline, surrounded by normal endometrium. On Doppler examination, there was either a single feeder vessel or no detectable vascularity. Polyps were classified histologically as benign (including hyperplasia without atypia), pre-malignant (atypical hyperplasia), or malignant. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed with a range of demographic, clinical, and ultrasound variables as independent, and the presence of pre-malignancy or malignancy in polyps as dependent variables. A 10-fold cross-validation method was used to estimate the model's misclassification risk. There were 240 women included, 181 of whom presented with postmenopausal bleeding. Their median age was 60 (range of 45-94); 18/240 (7.5%) women were diagnosed with pre-malignant or malignant polyps. In our decision tree model, the polyp mean diameter (≤13 mm or >13 mm) on ultrasound was the most important predictor of pre-malignancy or malignancy. If the tree was allowed to grow, the patient's body mass index (BMI) and cystic/solid appearance of the polyp classified women further into low-risk (≤5%), intermediate-risk (>5%-≤20%), or high-risk (>20%) groups. Our decision tree model may serve as a guide to counsel women on the benefits and risks of surgery for postmenopausal endometrial polyps. It may also assist clinicians in prioritizing women for surgery according to their risk of malignancy.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
Postmenopausal endometrial polyps are commonly managed by surgical resection; however, expectant management may be considered for some women due to the presence of medical co-morbidities, failed hysteroscopies or patient's preference. This study aimed to identify patient characteristics and ultrasound morphological features of polyps that could aid in the prediction of underlying pre-malignancy or malignancy in postmenopausal polyps.
METHODS METHODS
Women with consecutive postmenopausal polyps diagnosed on ultrasound and removed surgically were recruited between October 2015 to October 2018 prospectively. Polyps were defined on ultrasound as focal lesions with a regular outline, surrounded by normal endometrium. On Doppler examination, there was either a single feeder vessel or no detectable vascularity. Polyps were classified histologically as benign (including hyperplasia without atypia), pre-malignant (atypical hyperplasia), or malignant. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed with a range of demographic, clinical, and ultrasound variables as independent, and the presence of pre-malignancy or malignancy in polyps as dependent variables. A 10-fold cross-validation method was used to estimate the model's misclassification risk.
RESULTS RESULTS
There were 240 women included, 181 of whom presented with postmenopausal bleeding. Their median age was 60 (range of 45-94); 18/240 (7.5%) women were diagnosed with pre-malignant or malignant polyps. In our decision tree model, the polyp mean diameter (≤13 mm or >13 mm) on ultrasound was the most important predictor of pre-malignancy or malignancy. If the tree was allowed to grow, the patient's body mass index (BMI) and cystic/solid appearance of the polyp classified women further into low-risk (≤5%), intermediate-risk (>5%-≤20%), or high-risk (>20%) groups.
CONCLUSIONS CONCLUSIONS
Our decision tree model may serve as a guide to counsel women on the benefits and risks of surgery for postmenopausal endometrial polyps. It may also assist clinicians in prioritizing women for surgery according to their risk of malignancy.

Identifiants

pubmed: 34203810
pii: diagnostics11061094
doi: 10.3390/diagnostics11061094
pmc: PMC8232598
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Obstet Gynecol. 2010 Nov;116(5):1197-205
pubmed: 20966706
Sci Rep. 2017 Apr 07;7:44808
pubmed: 28387226
J Minim Invasive Gynecol. 2012 Jan-Feb;19(1):3-10
pubmed: 22196255
Cancer Res. 1995 Apr 1;55(7):1565-8
pubmed: 7882366
Radiographics. 1999 Jul-Aug;19(4):927-35
pubmed: 10464800
Ultrasound Obstet Gynecol. 2003 Aug;22(2):166-71
pubmed: 12905512
Cancer. 2013 Apr 1;119(7):1393-401
pubmed: 23280123
Menopause. 2011 Apr;18(4):408-11
pubmed: 21499503
Climacteric. 2018 Feb;21(1):82-87
pubmed: 29219004
J Obstet Gynaecol. 2019 Feb;39(2):176-183
pubmed: 30286675
Ultrasound Obstet Gynecol. 2021 Jan;57(1):164-172
pubmed: 32484286
Gynecol Obstet Invest. 2010;70(2):107-12
pubmed: 20332644
Eur J Obstet Gynecol Reprod Biol. 2019 Jun;237:48-56
pubmed: 31009859
Public Health. 2015 Jul;129(7):872-80
pubmed: 26026348
Radiology. 1994 Jun;191(3):755-8
pubmed: 8184058
Hum Reprod. 2017 Feb;32(2):340-345
pubmed: 27994000
Rev Bras Ginecol Obstet. 2013 Jun;35(6):243-8
pubmed: 23929196
Obstet Gynecol. 1962 Oct;20:542-50
pubmed: 14001567
Shanghai Arch Psychiatry. 2015 Apr 25;27(2):130-5
pubmed: 26120265
Am J Obstet Gynecol. 2009 Mar;200(3):235.e1-6
pubmed: 19027096
Asian Pac J Cancer Prev. 2014;15(13):5355-8
pubmed: 25041001
Ultrasound Obstet Gynecol. 2009 Jan;33(1):102-8
pubmed: 19115236
Cancers (Basel). 2020 May 08;12(5):
pubmed: 32397158
Am J Obstet Gynecol. 2010 Sep;203(3):232.e1-6
pubmed: 20478550
Ultrasound Obstet Gynecol. 2014 May;43(5):557-68
pubmed: 24009152
BJOG. 2007 Sep;114(9):1146-9
pubmed: 17617190
J Minim Invasive Gynecol. 2018 Jul - Aug;25(5):777-785
pubmed: 29454147
Obstet Gynecol. 1953 Feb;1(2):212-8
pubmed: 13037211
Maturitas. 2006 Jan 10;53(1):114-8
pubmed: 15894442
Anal Quant Cytol Histol. 2011 Apr;33(2):61-7
pubmed: 21980607
Gynecol Obstet Invest. 2016;81(4):359-62
pubmed: 27255414
PLoS Med. 2007 Oct 16;4(10):e297
pubmed: 17941715

Auteurs

Michael Wong (M)

Institute for Women's Health, University College London Hospitals, London NW1 2BU, UK.

Nikolaos Thanatsis (N)

Institute for Women's Health, University College London Hospitals, London NW1 2BU, UK.

Federica Nardelli (F)

Department of Women's and Children's Health, Catholic University of Sacred Heart, 1, 00168 Rome, Italy.

Tejal Amin (T)

Institute for Women's Health, University College London Hospitals, London NW1 2BU, UK.

Davor Jurkovic (D)

Institute for Women's Health, University College London Hospitals, London NW1 2BU, UK.

Classifications MeSH