Literature DB >> 8234689

Breast cancer malpractice litigation in New York State.

J S Mitnick1, M F Vazquez, K P Plesser, D F Roses.   

Abstract

PURPOSE: To identify causes of purported malpractice in diagnosis and treatment of breast cancer.
MATERIALS AND METHODS: The authors reviewed cases from The New York Jury Verdict Reporter listed between 1985 and 1991 to look for those in which there was alleged delay in diagnosis or treatment of breast cancer.
RESULTS: Of 34 cases identified, 32 (94%) were based on presumed delay in diagnosis and only two (6%) on claims of therapeutic malpractice. Delay in diagnosis was commonly claimed in patients younger than 50 years (76%). Palpable masses were present in 94% of these cases. Either mammograms were not obtained (16 cases, 50%) or findings were interpreted as normal or as fibrocystic disease (12 cases, 38%). Specialists most frequently cited were gynecologists (16 of 39,41%). Highest awards (> or = $1 million) were more commonly given to patients younger than 50 years with proved distant or nodal metastasis (six of 34, 18%).
CONCLUSION: Emphasis on early diagnosis has led to the perception that purported delay in diagnosis, however short, even in the presence of a palpable mass, changes the chances for survival.

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Mesh:

Year:  1993        PMID: 8234689     DOI: 10.1148/radiology.189.3.8234689

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  5 in total

1.  Timeliness of follow-up after abnormal screening mammography.

Authors:  K Kerlikowske
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

2.  Malpractice claims in interventional radiology: frequency, characteristics and protective measures.

Authors:  N Magnavita; A Fileni; P Mirk; G Magnavita; S Ricci; A R Cotroneo
Journal:  Radiol Med       Date:  2012-09-17       Impact factor: 3.469

Review 3.  Timing and Delays in Breast Cancer Evaluation and Treatment.

Authors:  Richard J Bleicher
Journal:  Ann Surg Oncol       Date:  2018-07-02       Impact factor: 5.344

Review 4.  Retroareolar Carcinomas in Breast Ultrasound: Pearls and Pitfalls.

Authors:  Romuald Ferré; Martine Paré; Lisa Smith; Mélanie Thériault; Ann Aldis; Ellen Kao; Benoit Mesurolle
Journal:  Cancers (Basel)       Date:  2016-12-30       Impact factor: 6.639

5.  Machine learning-based prediction of breast cancer growth rate in vivo.

Authors:  Shristi Bhattarai; Sergey Klimov; Mohammed A Aleskandarany; Helen Burrell; Anthony Wormall; Andrew R Green; Padmashree Rida; Ian O Ellis; Remus M Osan; Emad A Rakha; Ritu Aneja
Journal:  Br J Cancer       Date:  2019-08-09       Impact factor: 7.640

  5 in total

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