[HTML][HTML] A novel histopathological evaluation method predicting the outcome of non-small cell lung cancer treated by neoadjuvant therapy: the prognostic importance …

Y Yamane, G Ishii, K Goto, M Kojima, M Nakao… - Journal of Thoracic …, 2010 - Elsevier
… the outcome of non-small cell lung cancer (NSCLC) treated by neoadjuvant therapy has not
… to assess a novel histopathological evaluation method for predicting the outcome of NSCLC …

A novel histopathological evaluation method for predicting the outcome of non-small cell lung cancer treated by neoadjuvant therapy

Y Yamane, G Ishii, K Goto, M Kojima… - Journal of Clinical …, 2009 - ascopubs.org
… the outcome of NSCLC treated by neoadjuvant therapy has been fully assessed. The … was
to assess a novel histopathological evaluation method for predicting the outcome of NSCLC …

[HTML][HTML] Computed tomography RECIST assessment of histopathologic response and prediction of survival in patients with resectable nonsmall-cell lung cancer after …

WN William Jr, A Pataer, N Kalhor, AM Correa… - Journal of Thoracic …, 2013 - Elsevier
… more efficient clinical trials incorporating novel neoadjuvant therapies that would evaluate
response as a surrogate marker for improved long-term outcomes. This strategy would allow …

[HTML][HTML] The prognostic and predictive role of histology in advanced non-small cell lung cancer: a literature review

FR Hirsch, A Spreafico, S Novello, MD Wood… - Journal of Thoracic …, 2008 - Elsevier
review examined histology as a potential prognostic and/or predictive factor of clinical
outcomes … In the tables presented in this review, the results for prognostic factors are reported …

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C Ré… - Nature …, 2016 - nature.com
… features can predict the prognosis of lung cancer patients and … Our methods are extensible
to histopathology images of … lung cancers with different survival outcomes, discover novel

[HTML][HTML] Deep Learning for Predicting Effect of Neoadjuvant Therapies in NonSmall Cell Lung Carcinomas With Histologic Images

K Terada, A Yoshizawa, X Liu, H Ito, M Hamaji… - Modern Pathology, 2023 - Elsevier
… We recently developed a novel multiscale network to avoid this … pathological images to
predict MPR and the prognosis of patients with resected NSCLC following NAT. Our results

Immunohistochemical markers of prognosis in non-small cell lung cancer: a review and proposal for a multiphase approach to marker evaluation

CQ Zhu, W Shih, CH Ling, MS Tsao - Journal of clinical pathology, 2006 - jcp.bmj.com
… that affect and predict the survival outcome of patients with … of assessing protein expression
changes in histopathology. … cancer types, and novel antiangiogenic agents have recently …

Deep learning analysis of histopathological images predicts immunotherapy prognosis and reveals tumour microenvironment features in non-small cell lung cancer

Y Wang, X Ju, R Hua, J Chen, X Dai, L Liu… - British Journal of …, 2024 - nature.com
… The ir-PPS provides a novel imaging biomarker that may help select optimal … results
demonstrate that it is possible to predict progression using features extracted from histopathological

[HTML][HTML] Histopathologic response criteria predict survival of patients with resected lung cancer after neoadjuvant chemotherapy

A Pataer, N Kalhor, AM Correa, MG Raso… - Journal of Thoracic …, 2012 - Elsevier
… Surgical resection is the treatment of choice in patients with localized non-small cell lung
period needed to evaluate novel chemotherapeutic and biologic therapies in clinical trials. …

Preoperative Geriatric Nutritional Risk Index: a predictive and prognostic factor in patients with pathological stage I non-small cell lung cancer

F Shoji, T Matsubara, Y Kozuma, N Haratake… - Surgical Oncology, 2017 - Elsevier
… or prognostic factor for pathological stage I NSCLC patients from … result, we showed the
GNRI is a novel predictive and prognostic factor in surgically resected patients with pathological