BACKGROUND: Neoadjuvant chemotherapy precludes the accurate pre-surgical pathologic measurement of tumor size. The purpose of this study is to review imaging studies performed in patients who received preoperative chemotherapy prior to surgery and determine whether MRI, ultrasound (US) or physical exam best predicted final pathologic tumor size. METHODS: Stage I, II, and III breast cancer patients were treated with neoadjuvant therapy on trial. As part of the trials, women underwent MRI, US, and physical exam prior to the start of therapy and 1 week after completion of neoadjuvant chemotherapy. RESULTS: Of the 68 patients with MRI data, the correlation coefficient (r) of MRI to pathologic size of tumor was r = 0.749. Among the 52 patients who had an US assessment the correlation of US to pathology was r = 0.612. Sixty-two patients had physical exam data, and the correlation of examination to pathology size was r = 0.439. MRI correctly predicted 8 of 11 complete responders and accurately evaluated the size of non-responders to neoadjuvant therapy (r = 0.869) CONCLUSIONS: In a select group of women undergoing neoadjuvant therapy for invasive breast cancer, MRI best predicted pathology response. The use of MRI in neoadjuvant therapy may allow for accurate prediction of patients eligible for breast conservation.
BACKGROUND: Neoadjuvant chemotherapy precludes the accurate pre-surgical pathologic measurement of tumor size. The purpose of this study is to review imaging studies performed in patients who received preoperative chemotherapy prior to surgery and determine whether MRI, ultrasound (US) or physical exam best predicted final pathologic tumor size. METHODS: Stage I, II, and III breast cancerpatients were treated with neoadjuvant therapy on trial. As part of the trials, women underwent MRI, US, and physical exam prior to the start of therapy and 1 week after completion of neoadjuvant chemotherapy. RESULTS: Of the 68 patients with MRI data, the correlation coefficient (r) of MRI to pathologic size of tumor was r = 0.749. Among the 52 patients who had an US assessment the correlation of US to pathology was r = 0.612. Sixty-two patients had physical exam data, and the correlation of examination to pathology size was r = 0.439. MRI correctly predicted 8 of 11 complete responders and accurately evaluated the size of non-responders to neoadjuvant therapy (r = 0.869) CONCLUSIONS: In a select group of women undergoing neoadjuvant therapy for invasive breast cancer, MRI best predicted pathology response. The use of MRI in neoadjuvant therapy may allow for accurate prediction of patients eligible for breast conservation.
Authors: Jennifer F De Los Santos; Alan Cantor; Keith D Amos; Andres Forero; Mehra Golshan; Janet K Horton; Clifford A Hudis; Nola M Hylton; Kandace McGuire; Funda Meric-Bernstam; Ingrid M Meszoely; Rita Nanda; E Shelley Hwang Journal: Cancer Date: 2013-02-21 Impact factor: 6.860
Authors: Rosalind P Candelaria; Roland L Bassett; William Fraser Symmans; Maheshwari Ramineni; Stacy L Moulder; Henry M Kuerer; Alastair M Thompson; Wei Tse Yang Journal: Oncologist Date: 2017-03-17
Authors: Rong Tang; Mansi Saksena; Suzanne B Coopey; Leopoldo Fernandez; Julliette M Buckley; Lan Lei; Owen Aftreth; Frederick Koerner; James Michaelson; Elizabeth Rafferty; Elena Brachtel; Barbara L Smith Journal: Br J Radiol Date: 2015-11-16 Impact factor: 3.039
Authors: Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Philip M Carpenter; Christine E McLaren; Wen-Pin Chen; Peter T Fwu; David J B Hsiang; Karen T Lane; John A Butler; Min-Ying Su Journal: J Surg Oncol Date: 2013-10-28 Impact factor: 3.454
Authors: Jeon-Hor Chen; Byron A Feig; David J-B Hsiang; John A Butler; Rita S Mehta; Shadfar Bahri; Orhan Nalcioglu; Min-Ying Su Journal: Ann Surg Date: 2009-03 Impact factor: 12.969
Authors: J Dose-Schwarz; R Tiling; S Avril-Sassen; S Mahner; A Lebeau; C Weber; M Schwaiger; F Jänicke; M Untch; N Avril Journal: Br J Cancer Date: 2009-11-17 Impact factor: 7.640