BACKGROUND AND OBJECTIVES: Preoperative characterization of the solitary pulmonary nodule is a delicate task faced by surgeons, radiologists, and clinicians. Mathematical models have been developed to overcome subjectivity. The Mayo Clinic model was suggested in the latest ACCP evidence-based clinical practice guidelines for the preoperative risk assessment of solitary pulmonary nodule malignancy. The aim of the study is to assess the validity of the Mayo Clinic model in a current continuous case series of biopsy-proven nodules. METHODS: The Mayo Clinic model was applied to estimate probability of malignancy in 288 consecutive cases in this single-center retrospective study. RESULTS: ROC curve analysis returned an AUC of 0.767, while analysis performed on 158 malignant nodules showed a mean predicted risk value of 38.15%. In our clinical setting, using a risk observational threshold set at 5% and a risk surgical threshold set at 60%, there would have been 4 cases of unnecessary surgery (false positives) at the cost of 13 cases of cancer progression (false negatives), while 68.75% of all nodules would have received non-decisional values. CONCLUSIONS: Surgeons should be aware that current data shows how the Mayo Clinic model is of little use in preoperative nodule characterization.
BACKGROUND AND OBJECTIVES: Preoperative characterization of the solitary pulmonary nodule is a delicate task faced by surgeons, radiologists, and clinicians. Mathematical models have been developed to overcome subjectivity. The Mayo Clinic model was suggested in the latest ACCP evidence-based clinical practice guidelines for the preoperative risk assessment of solitary pulmonary nodule malignancy. The aim of the study is to assess the validity of the Mayo Clinic model in a current continuous case series of biopsy-proven nodules. METHODS: The Mayo Clinic model was applied to estimate probability of malignancy in 288 consecutive cases in this single-center retrospective study. RESULTS: ROC curve analysis returned an AUC of 0.767, while analysis performed on 158 malignant nodules showed a mean predicted risk value of 38.15%. In our clinical setting, using a risk observational threshold set at 5% and a risk surgical threshold set at 60%, there would have been 4 cases of unnecessary surgery (false positives) at the cost of 13 cases of cancer progression (false negatives), while 68.75% of all nodules would have received non-decisional values. CONCLUSIONS: Surgeons should be aware that current data shows how the Mayo Clinic model is of little use in preoperative nodule characterization.
Authors: Simone Perandini; G A Soardi; A R Larici; A Del Ciello; G Rizzardi; A Solazzo; L Mancino; F Zeraj; M Bernhart; M Signorini; M Motton; S Montemezzi Journal: Eur Radiol Date: 2016-09-15 Impact factor: 5.315
Authors: Gian Alberto Soardi; Simone Perandini; Anna Rita Larici; Annemilia Del Ciello; Giovanna Rizzardi; Antonio Solazzo; Laura Mancino; Marco Bernhart; Massimiliano Motton; Stefania Montemezzi Journal: Eur Radiol Date: 2016-08-23 Impact factor: 5.315
Authors: Xiaonan Cui; Marjolein A Heuvelmans; Daiwei Han; Yingru Zhao; Shuxuan Fan; Sunyi Zheng; Grigory Sidorenkov; Harry J M Groen; Monique D Dorrius; Matthijs Oudkerk; Geertruida H de Bock; Rozemarijn Vliegenthart; Zhaoxiang Ye Journal: Transl Lung Cancer Res Date: 2019-10
Authors: Simone Perandini; Gian Alberto Soardi; Massimiliano Motton; Raffaele Augelli; Lisa Zantedeschi; Stefania Montemezzi Journal: Pol J Radiol Date: 2016-02-11