Impact of Tumor Size on Probability of Pathologic Complete Response After Neoadjuvant Chemotherapy
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1534-4681
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Impact of Tumor Size on Probability of Pathologic Complete Response After Neoadjuvant Chemotherapy ; volume:23 ; number:5 ; day:29 ; month:12 ; year:2015 ; pages:1522-1529 ; date:5.2016
Annals of surgical oncology ; 23, Heft 5 (29.12.2015), 1522-1529, 5.2016
- Creator
-
Baron, Paul
- Contributor
-
Beitsch, Peter
Boselli, Danielle
Symanowski, James
Pellicane, James V.
Beatty, Jennifer
Richards, Paul
Mislowsky, Angela
Nash, Charles
Lee, Laura A.
Murray, Mary
Snoo, Femke A. de
Stork-Sloots, Lisette
Gittleman, Mark
Akbari, Stephanie
Whitworth, Pat
SpringerLink (Online service)
- DOI
-
10.1245/s10434-015-5030-1
- URN
-
urn:nbn:de:1111-201604016921
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Baron, Paul
- Beitsch, Peter
- Boselli, Danielle
- Symanowski, James
- Pellicane, James V.
- Beatty, Jennifer
- Richards, Paul
- Mislowsky, Angela
- Nash, Charles
- Lee, Laura A.
- Murray, Mary
- Snoo, Femke A. de
- Stork-Sloots, Lisette
- Gittleman, Mark
- Akbari, Stephanie
- Whitworth, Pat
- SpringerLink (Online service)
Other Objects (12)
Influences on pathologic complete response in breast cancer patients after neoadjuvant chemotherapy
Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy
Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer
Pathologic response prediction to neoadjuvant chemotherapy utilizing pretreatment near-infrared imaging parameters and tumor pathologic criteria
Clinical characteristics and pathologic complete response (pCR) rate after neoadjuvant chemotherapy in postpartum women with breast cancer
Pathologic complete response and survival in HER2-low and HER2-zero early breast cancer treated with neoadjuvant chemotherapy
Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT)
Estrogen receptor-negative/progesterone receptor-positive breast cancer has distinct characteristics and pathologic complete response rate after neoadjuvant chemotherapy
Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients
Influences on pathologic complete response in breast cancer patients after neoadjuvant chemotherapy
Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy
Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer
Pathologic response prediction to neoadjuvant chemotherapy utilizing pretreatment near-infrared imaging parameters and tumor pathologic criteria
Clinical characteristics and pathologic complete response (pCR) rate after neoadjuvant chemotherapy in postpartum women with breast cancer
Pathologic complete response and survival in HER2-low and HER2-zero early breast cancer treated with neoadjuvant chemotherapy
Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT)
Estrogen receptor-negative/progesterone receptor-positive breast cancer has distinct characteristics and pathologic complete response rate after neoadjuvant chemotherapy
Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients
Influences on pathologic complete response in breast cancer patients after neoadjuvant chemotherapy
Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy
Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer
Meta-analysis on the association between pathologic complete response and triple-negative breast cancer after neoadjuvant chemotherapy
Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer
Pathologic response prediction to neoadjuvant chemotherapy utilizing pretreatment near-infrared imaging parameters and tumor pathologic criteria
Clinical characteristics and pathologic complete response (pCR) rate after neoadjuvant chemotherapy in postpartum women with breast cancer
Pathologic complete response and survival in HER2-low and HER2-zero early breast cancer treated with neoadjuvant chemotherapy
Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT)
Estrogen receptor-negative/progesterone receptor-positive breast cancer has distinct characteristics and pathologic complete response rate after neoadjuvant chemotherapy