Literature DB >> 21878615

Breast cancer: evaluation of response to neoadjuvant chemotherapy with 3.0-T MR imaging.

Jeon-Hor Chen1, Shadfar Bahri, Rita S Mehta, Aida Kuzucan, Hon J Yu, Philip M Carpenter, Stephen A Feig, Muqing Lin, David J B Hsiang, Karen T Lane, John A Butler, Orhan Nalcioglu, Min-Ying Su.   

Abstract

PURPOSE: To assess how the molecular biomarker status of a breast cancer, including human epidermal growth factor receptor 2 (HER2), hormone receptors, and the proliferation marker Ki-67 status, affects the diagnosis at 3.0-T magnetic resonance (MR) imaging.
MATERIALS AND METHODS: This study was approved by the institutional review board and was HIPAA compliant. Fifty patients (age range, 28-82 years; mean age, 49 years) receiving neoadjuvant chemotherapy were monitored with 3.0-T MR imaging. The longest dimension of the residual cancer was measured at MR imaging and correlated with pathologic findings. Patients were further divided into subgroups on the basis of HER2, hormone receptor, and Ki-67 status. Pathologic complete response (pCR) was defined as when there were no residual invasive cancer cells. The Pearson correlation was used to correlate MR imaging-determined and pathologic tumor size, and the unpaired t test was used to compare MR imaging-pathologic size discrepancies.
RESULTS: Of the 50 women, 14 achieved pCR. There were seven false-negative diagnoses at MR imaging. The overall sensitivity, specificity, and accuracy for diagnosing invasive residual disease at MR imaging were 81%, 93%, and 84%, respectively. The mean MR imaging-pathologic size discrepancy was 0.5 cm ± 0.9 (standard deviation) for HER2-positive cancer and 2.3 cm ± 3.5 for HER2-negative cancer (P = .009). In the HER2-negative group, the size discrepancy was smaller for hormone receptor-negative than for hormone receptor-positive cancers (1.0 cm ± 1.1 vs 3.0 cm ± 4.0, P = .04). The size discrepancy was smaller in patients with 40% or greater Ki-67 expression (0.8 cm ± 1.1) than in patients with 10% or less Ki-67 expression (3.9 cm ± 5.1, P = .06).
CONCLUSION: The diagnostic accuracy of breast MR imaging is better in more aggressive than in less aggressive cancers. When MR imaging is used for surgical planning, caution should be taken with HER2-negative hormone receptor-positive cancers. © RSNA, 2011.

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Year:  2011        PMID: 21878615      PMCID: PMC3219909          DOI: 10.1148/radiol.11110814

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


  35 in total

1.  Breast cancer molecular subtypes respond differently to preoperative chemotherapy.

Authors:  Roman Rouzier; Charles M Perou; W Fraser Symmans; Nuhad Ibrahim; Massimo Cristofanilli; Keith Anderson; Kenneth R Hess; James Stec; Mark Ayers; Peter Wagner; Paolo Morandi; Chang Fan; Islam Rabiul; Jeffrey S Ross; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  Clin Cancer Res       Date:  2005-08-15       Impact factor: 12.531

Review 2.  Recommendations from an international expert panel on the use of neoadjuvant (primary) systemic treatment of operable breast cancer: new perspectives 2006.

Authors:  M Kaufmann; G von Minckwitz; H D Bear; A Buzdar; P McGale; H Bonnefoi; M Colleoni; C Denkert; W Eiermann; R Jackesz; A Makris; W Miller; J-Y Pierga; V Semiglazov; A Schneeweiss; R Souchon; V Stearns; M Untch; S Loibl
Journal:  Ann Oncol       Date:  2007-11-12       Impact factor: 32.976

3.  Residual specimen cellularity after neoadjuvant chemotherapy for breast cancer.

Authors:  F Peintinger; H M Kuerer; S E McGuire; R Bassett; L Pusztai; W F Symmans
Journal:  Br J Surg       Date:  2008-04       Impact factor: 6.939

4.  MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy.

Authors:  Jeon Hor Chen; Byron Feig; Byon Feig; Garima Agrawal; Hon Yu; Philip M Carpenter; Rita S Mehta; Orhan Nalcioglu; Min Ying Su
Journal:  Cancer       Date:  2008-01-01       Impact factor: 6.860

5.  Residual breast cancer diagnosed by MRI in patients receiving neoadjuvant chemotherapy with and without bevacizumab.

Authors:  Shadfar Bahri; Jeon-Hor Chen; Rita S Mehta; Philip M Carpenter; Ke Nie; Soon-Young Kwon; Hon J Yu; Orhan Nalcioglu; Min-Ying Su
Journal:  Ann Surg Oncol       Date:  2009-03-31       Impact factor: 5.344

6.  Combined use of clinical and pathologic staging variables to define outcomes for breast cancer patients treated with neoadjuvant therapy.

Authors:  Jacqueline S Jeruss; Elizabeth A Mittendorf; Susan L Tucker; Ana M Gonzalez-Angulo; Thomas A Buchholz; Aysegul A Sahin; Janice N Cormier; Aman U Buzdar; Gabriel N Hortobagyi; Kelly K Hunt
Journal:  J Clin Oncol       Date:  2007-12-03       Impact factor: 44.544

7.  Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27.

Authors:  Priya Rastogi; Stewart J Anderson; Harry D Bear; Charles E Geyer; Morton S Kahlenberg; André Robidoux; Richard G Margolese; James L Hoehn; Victor G Vogel; Shaker R Dakhil; Deimante Tamkus; Karen M King; Eduardo R Pajon; Mary Johanna Wright; Jean Robert; Soonmyung Paik; Eleftherios P Mamounas; Norman Wolmark
Journal:  J Clin Oncol       Date:  2008-02-10       Impact factor: 44.544

8.  Pathological complete response and residual DCIS following neoadjuvant chemotherapy for breast carcinoma.

Authors:  R L Jones; S R Lakhani; A E Ring; S Ashley; G Walsh; I E Smith
Journal:  Br J Cancer       Date:  2006-02-13       Impact factor: 7.640

9.  Breast MRI: guidelines from the European Society of Breast Imaging.

Authors:  R M Mann; C K Kuhl; K Kinkel; C Boetes
Journal:  Eur Radiol       Date:  2008-04-04       Impact factor: 5.315

10.  Using MRI to plan breast-conserving surgery following neoadjuvant chemotherapy for early breast cancer.

Authors:  M Bhattacharyya; D Ryan; R Carpenter; S Vinnicombe; C J Gallagher
Journal:  Br J Cancer       Date:  2008-01-22       Impact factor: 7.640

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  21 in total

Review 1.  Surgical issues in patients with breast cancer receiving neoadjuvant chemotherapy.

Authors:  Tari A King; Monica Morrow
Journal:  Nat Rev Clin Oncol       Date:  2015-04-07       Impact factor: 66.675

Review 2.  Trends and controversies in multidisciplinary care of the patient with breast cancer.

Authors:  Laura S Dominici; Monica Morrow; Elizabeth Mittendorf; Jennifer Bellon; Tari A King
Journal:  Curr Probl Surg       Date:  2016-11-29       Impact factor: 1.909

3.  Performance of Mid-Treatment Breast Ultrasound and Axillary Ultrasound in Predicting Response to Neoadjuvant Chemotherapy by Breast Cancer Subtype.

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

4.  MRI and Prediction of Pathologic Complete Response in the Breast and Axilla after Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Joseph J Weber; Maxine S Jochelson; Anne Eaton; Emily C Zabor; Andrea V Barrio; Mary L Gemignani; Melissa Pilewskie; Kimberly J Van Zee; Monica Morrow; Mahmoud El-Tamer
Journal:  J Am Coll Surg       Date:  2017-09-15       Impact factor: 6.113

5.  Do MRI and mammography reliably identify candidates for breast conservation after neoadjuvant chemotherapy?

Authors:  Maxine S Jochelson; Katharine Lampen-Sachar; Girard Gibbons; Chau Dang; Diana Lake; Elizabeth A Morris; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2015-03-17       Impact factor: 5.344

6.  Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes.

Authors:  Jieun Kim; Boo-Kyung Han; Eun Young Ko; Eun Sook Ko; Ji Soo Choi; Ko Woon Park
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 5.315

7.  [Therapy monitoring of neoadjuvant therapy with MRI. RECIST and functional imaging].

Authors:  S Grandl; M Ingrisch; K Hellerhoff
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

8.  Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer.

Authors:  Yuji Hayashi; Hiroyuki Takei; Satoshi Nozu; Yoshihiro Tochigi; Akihiro Ichikawa; Naoki Kobayashi; Masafumi Kurosumi; Kenichi Inoue; Takashi Yoshida; Shigenori E Nagai; Hanako Oba; Toshio Tabei; Jun Horiguchi; Izumi Takeyoshi
Journal:  Oncol Lett       Date:  2012-10-30       Impact factor: 2.967

9.  Impact of factors affecting the residual tumor size diagnosed by MRI following neoadjuvant chemotherapy in comparison to pathology.

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

10.  Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.

Authors:  Ahmed Bilal Ashraf; Dania Daye; Sara Gavenonis; Carolyn Mies; Michael Feldman; Mark Rosen; Despina Kontos
Journal:  Radiology       Date:  2014-04-04       Impact factor: 11.105

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