Abstract 57P
Background
Management of brain metastasis is a complex multidisciplinary venture. Hence, we started a multidisciplinary brain metastasis clinic for opinion on difficult brain metastasis cases. This is the review of the impact of this clinic on the treatment decisions.
Methods
Brain metastasis clinic (BMC) was started in the month of April 2018 and meets once a week. Data of patients discussed between 27th April 2018 to 28th June 2019 were included for thisanalysis. Treatment decision made by clinicians (before sending the patient to the BMC were compared with the decisions made in BMC. The decisions were broken on a predefined proforma as intent of treatment (curative or palliative), modalities planned (surgery, radiation, chemotherapy), type of therapy planned (details of each therapy) in each modality were collected both pre and post BMC. In addition, compliance of the respective physicians to BMC decision was also calculated. SPSS version 20 was used for analysis. Descriptive statistics was performed.
Results
Ninety-nine patients were discussed in this time period. The median age was 51 (range 17-68) years. The gender distribution was 70 males (70.7%) and 29 females (29.3%). Lung was thepredominant site of malignancy (79, 79.8%). Thirty-one patients (31.3%) had EGFR TKI domain activating mutation while 17 (17.2%) had ALK rearrangement. The treatment plan was changed in 46 patients (46.5%). The intent of treatment was changed in 5 patients (5.3%). Change in treatment plan with respect to surgery in 9 patients (9.1%), radiation in 37 patients (37.4%), chemotherapy in 15 patients (15.2%), targeted therapy in 11 patients (22.9%) and intrathecal in 6 patients (6.1%) respectively. The compliance to the BMC decision in patients in whom it was changed was 84.8% (39, n = 46).
Conclusions
Multidisciplinary management of difficult brain metastasis cases in specialized clinics has significant impact on treatment decisions.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Tata Memorial Hospital, Mumbai.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
75P - A parallel deep learning network framework for whole-body bone scan image analysis
Presenter: Xiaorong Pu
Session: Poster display session
Resources:
Abstract
76P - Perception and satisfaction of cancer patients in clinical trials
Presenter: Jukyung Jeon
Session: Poster display session
Resources:
Abstract
77P - A prognostic nomogram for the prediction of neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster display session
Resources:
Abstract
80P - The clinical usefulness of a new fat-dissociation method to detect lymph nodes from surgically resected specimen in colorectal cancer: Prospective randomized study
Presenter: Shiki Fujino
Session: Poster display session
Resources:
Abstract
81P - Concurrent or consolidation chemotherapy during radiation as neoadjuvant treatment for locally advanced rectal cancer: A propensity score analysis from two prospective study
Presenter: JianWei Zhang
Session: Poster display session
Resources:
Abstract
82P - Body mass index, tumour location, and colorectal cancer survival
Presenter: Dake Chu
Session: Poster display session
Resources:
Abstract
83P - Helicobacter bilis may play a role in the carcinogenesis of colitis associated colon cancer correlating to increased number of CD4+CD45RB+ T cells
Presenter: Xiangsheng Fu
Session: Poster display session
Resources:
Abstract
84P - Comprehensive evaluation of relapse risk (CERR) score for colorectal liver metastases development and validation
Presenter: Jianmin Xu
Session: Poster display session
Resources:
Abstract
85P - Which is the best partner for capecitabine-based neoadjuvant chemoradiotherapy in locally advanced rectal cancer? A retrospective analysis of a comprehensive cancer center
Presenter: Jingwen Wang
Session: Poster display session
Resources:
Abstract
87P - Negative to positive lymph node ratio-prognostic marker of survival in node positive rectal cancer
Presenter: Pavan Jonnada
Session: Poster display session
Resources:
Abstract