1. Prospective Multicenter Study Validate a Prediction Model for Surgery Uptake Among Women with Atypical Breast Lesions
- Author
-
Magali Lacroix Triki, Monique Cohen, Corinne Balleyguier, Stefan Michiels, Catherine Uzan, Joelle Mollard, M. Espie, Suzette Delaloge, Anne Vincent Salomon, Pierre de Saint Hilaire, Natacha Joyon, L. Boulanger, Veronique Boussion, Flore Salviat, Christine Tunon de Lara, Brigitte De Korvin, Isabelle Doutriaux-Dumoulin, Charles Coutant, Caroline Rossoni, Nathalie Chabbert, Frédéric Marchal, Carole Mathelin, Chafika Mazouni, Sonia Zilberman, Eva Jouve, Service de Chirurgie et Cancérologie Gynécologique et Mammaire [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service d'Oncologie médicale [CHU Pitié-Salpêtrière], Centre de Recherche Saint-Antoine (CR Saint-Antoine), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Gustave Roussy (IGR), Centre Eugène Marquis (CRLCC), Institut Bergonié [Bordeaux], UNICANCER, Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC), CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), Génétique et Biologie du Développement, Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hopital Saint-Louis [AP-HP] (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), Institut de Cancérologie de Lorraine - Alexis Vautrin [Nancy] (UNICANCER/ICL), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille), Université Lille Nord de France (COMUE)-UNICANCER, Institut de Cancérologie de l'Ouest [Angers/Nantes] (UNICANCER/ICO), Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Les Hôpitaux Universitaires de Strasbourg (HUS), Hôpital de la Croix-Rousse [CHU - HCL], Hospices Civils de Lyon (HCL), Service de chirurgie gynécologique et mammaire [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre de Recherche Saint-Antoine (CRSA), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Université de Lille-UNICANCER, Université de Toulouse (UT)-Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM), Gestionnaire, Hal Sorbonne Université, and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
medicine.medical_specialty ,medicine.medical_treatment ,[SDV]Life Sciences [q-bio] ,Biopsy ,Unnecessary Surgery ,Population ,Breast Neoplasms ,Atypical ductal hyperplasia ,Unnecessary Procedures ,03 medical and health sciences ,Atypical breast lesion ,0302 clinical medicine ,Breast cancer ,Surgical oncology ,medicine ,Humans ,Breast ,Prospective Studies ,education ,B3 lesion ,education.field_of_study ,Hyperplasia ,medicine.diagnostic_test ,business.industry ,Lumpectomy ,Carcinoma, Ductal, Breast ,Ductal carcinoma in situ ,Cancer ,medicine.disease ,3. Good health ,Surgery ,[SDV] Life Sciences [q-bio] ,Carcinoma, Intraductal, Noninfiltrating ,Oncology ,Multicenter study ,030220 oncology & carcinogenesis ,030211 gastroenterology & hepatology ,Female ,business ,Carcinoma in Situ ,Model - Abstract
International audience; Background: Diagnosis of atypical breast lesions (ABLs) leads to unnecessary surgery in 75-90% of women. We have previously developed a model including age, complete radiological target excision after biopsy, and focus size that predicts the probability of cancer at surgery. The present study aimed to validate this model in a prospective multicenter setting.- methods: Women with a recently diagnosed ABL on image-guided biopsy were recruited in 18 centers, before wire-guided localized excisional lumpectomy. Primary outcome was the negative predictive value (NPV) of the model.Results: The NOMAT model could be used in 287 of the 300 patients included (195 with ADH). At surgery, 12 invasive (all grade 1), and 43 in situ carcinomas were identified (all ABL: 55/287, 19%; ADH only: 49/195, 25%). The area under the receiving operating characteristics curve of the model was 0.64 (95% CI 0.58-0.69) for all ABL, and 0.63 for ADH only (95% CI 0.56-0.70). For the pre-specified threshold of 20% predicted probability of cancer, NPV was 82% (77-87%) for all ABL, and 77% (95% CI 71-83%) for patients with ADH. At a 10% threshold, NPV was 89% (84-94%) for all ABL, and 85% (95% CI 78--92%) for the ADH. At this threshold, 58% of the whole ABL population (and 54% of ADH patients) could have avoided surgery with only 2 missed invasive cancers.Conclusion: The NOMAT model could be useful to avoid unnecessary surgery among women with ABL, including for patients with ADH.
- Published
- 2020
- Full Text
- View/download PDF