Development and Validation of CT-based Radiomics Scores for Prediction of Response to Neoadjuvant Chemotherapy and Survival in Gastric Cancer

2019 ◽  
Author(s):  
Kai-Yu Sun ◽  
Hang-Tong Hu ◽  
Shu-Ling Chen ◽  
Jin-Ning Ye ◽  
Guang-Hua Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Validation Cohort ◽  
Clinical Score ◽  
Feature Reduction ◽  
Portal Venous Phase ◽  
Clinical Variables ◽  
Predicting Performance ◽  
Significant Difference

Abstract Background: Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients’ responses varied. We aimed to develop and validate a radiomics score (rad_score) to predict the treatment response of neoadjuvant chemotherapy, and to investigate its efficacy in survival stratification. Methods: A total of 106 patients with neoadjuvant chemotherapy before gastrectomy were included (training cohort: n=74; validation cohort: n=32). Radiomics features were extracted from the pre-treatment portal venous-phase CT. After feature reduction, a rad_score was established by Randomized Tree algorithm. A rad_clinical_score was constructed by integrating the rad_score with clinical variables, so was a clinical score by clinical variables only. The three scores were validated regarding their discrimination and clinical usefulness. According to the score thresholds (updated with post-operative clinical variables), patients were stratified into two groups and their survivals were compared.Results: In the validation cohort, the rad_score demonstrated a good predicting performance in treatment response of neoadjuvant chemotherapy (AUC [95% CI] =0.82 [0.67, 0.98]), which was better than the clinical score (based on pre-operative clinical variables) without significant difference (0.62 [0.42, 0.83], P=0.09). The rad_clinical_score could not further improve the performance of rad_score (0.70 [0.51, 0.88], P=0.16). Based on the thresholds of these scores, the high-score groups all achieved better survivals than the low-score groups in the whole cohort (all P<0.001). Conclusion: The rad_score was effective in predicting treatment response of neoadjuvant chemotherapy and stratifying patients’ survival for gastric cancer, which assisted in individualized treatment planning.

scholarly journals CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer

2020 ◽  
Author(s):  
Kai-Yu Sun ◽  
Hang-Tong Hu ◽  
Shu-Ling Chen ◽  
Jin-Ning Ye ◽  
Guang-Hua Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Validation Cohort ◽  
Clinical Score ◽  
Feature Reduction ◽  
Portal Venous Phase ◽  
Clinical Variables ◽  
Significant Difference ◽  
Response To Neoadjuvant Chemotherapy

Abstract Background: Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients’ responses vary. We aimed to develop and validate a radiomics score (rad_score) to predict treatment response to neoadjuvant chemotherapy and to investigate its efficacy in survival stratification.Methods: A total of 106 patients with neoadjuvant chemotherapy before gastrectomy were included (training cohort: n=74; validation cohort: n=32). Radiomics features were extracted from the pre-treatment portal venous-phase CT. After feature reduction, a rad_score was established by Randomised Tree algorithm. A rad_clinical_score was constructed by integrating the rad_score with clinical variables, so was a clinical score by clinical variables only. The three scores were validated regarding their discrimination and clinical usefulness. The patients were stratified into two groups according to the score thresholds (updated with post-operative clinical variables), and their survivals were compared. Results: In the validation cohort, the rad_score demonstrated a good predicting performance in treatment response to the neoadjuvant chemotherapy (AUC [95% CI] =0.82 [0.67, 0.98]), which was better than the clinical score (based on pre-operative clinical variables) without significant difference (0.62 [0.42, 0.83], P=0.09). The rad_clinical_score could not further improve the performance of the rad_score (0.70 [0.51, 0.88], P=0.16). Based on the thresholds of these scores, the high-score groups all achieved better survivals than the low-score groups in the whole cohort (all P<0.001).Conclusion: The rad_score that we developed was effective in predicting treatment response to neoadjuvant chemotherapy and in stratifying patients with gastric cancer into different survival groups. Our proposed strategy is useful for individualised treatment planning.

scholarly journals CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer

2020 ◽  
Author(s):  
Kai-Yu Sun ◽  
Hang-Tong Hu ◽  
Shu-Ling Chen ◽  
Jin-Ning Ye ◽  
Guang-Hua Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Validation Cohort ◽  
Clinical Score ◽  
Feature Reduction ◽  
Portal Venous Phase ◽  
Clinical Variables ◽  
Significant Difference ◽  
Response To Neoadjuvant Chemotherapy

Abstract Background: Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients’ responses vary. We aimed to develop and validate a radiomics score (rad_score) to predict treatment response to neoadjuvant chemotherapy and to investigate its efficacy in survival stratification.Methods: A total of 106 patients with neoadjuvant chemotherapy before gastrectomy were included (training cohort: n=74; validation cohort: n=32). Radiomics features were extracted from the pre-treatment portal venous-phase CT. After feature reduction, a rad_score was established by Randomised Tree algorithm. A rad_clinical_score was constructed by integrating the rad_score with clinical variables, so was a clinical score by clinical variables only. The three scores were validated regarding their discrimination and clinical usefulness. The patients were stratified into two groups according to the score thresholds (updated with post-operative clinical variables), and their survivals were compared. Results: In the validation cohort, the rad_score demonstrated a good predicting performance in treatment response to the neoadjuvant chemotherapy (AUC [95% CI] =0.82 [0.67, 0.98]), which was better than the clinical score (based on pre-operative clinical variables) without significant difference (0.62 [0.42, 0.83], P=0.09). The rad_clinical_score could not further improve the performance of the rad_score (0.70 [0.51, 0.88], P=0.16). Based on the thresholds of these scores, the high-score groups all achieved better survivals than the low-score groups in the whole cohort (all P<0.001).Conclusion: The rad_score that we developed was effective in predicting treatment response to neoadjuvant chemotherapy and in stratifying patients with gastric cancer into different survival groups. Our proposed strategy is useful for individualised treatment planning.

scholarly journals Neoadjuvant Docetaxel, Oxaliplatin, Leucovorin, and 5-Fluorouracil (FLOT) Versus S-1 plus Oxaliplatin (SOX) for Patients with Locally Advanced Gastric Cancer

2020 ◽  
Author(s):  
Birendra Kumar Sah ◽  
Benyan Zhang ◽  
Huan Zhang ◽  
Jian Li ◽  
Fei Yuan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Tumor Regression ◽  
Locally Advanced ◽  
Pathological Response ◽  
Clinicopathological Parameters ◽  
Regression Grading ◽  
Locally Advanced Gastric Cancer ◽  
Significant Difference

AbstractBackgroundDespite growing trends of neoadjuvant chemotherapy for advanced gastric cancer, there is still no consensus of optimal regimens between East and West countries. Neoadjuvant chemotherapy with docetaxel, oxaliplatin, fluorouracil, and Leucovorin (FLOT) regimen has shown promising results in terms of pathological response and survival rate. However, S-1 plus oxaliplatin (SOX) is a more favorable chemotherapy regimen in Eastern countries. We conducted this study to evaluate the safety and efficacy of both regimens, and to explore a suitable regimen for Chinese patients.MethodsPatients with locally advanced gastric cancer(LAGC) were 1:1 randomly assigned to receive either 4 cycles of FLOT or 3 cycles of SOX regimen before curative gastrectomy. The primary endpoint was the comparison of complete or sub-total tumor regression grading (TRG1a+ TRG1b) in the primary tumor.ResultsAltogether 74 cases enrolled between August 2018 and March 2020. All 74 randomly assigned cases were considered as intention-to-treat (ITT) population, and the 55 patients who completed the planned chemotherapy plus surgery were considered as per protocol (PP) population. There was no significant difference in pre-treatment clinicopathological parameters between the FLOT and SOX group(p>0.05). There was no significant difference in adverse effects or postoperative morbidity and mortality between two groups (p>0.05). Similarly, there was no significant difference in the proportion of tumor regression grading between the FLOT and SOX group(p>0.05). In the ITT population, complete or sub-total TRG was 20.0 % in FLOT versus 32.4 % in the SOX group (p>0.05).ConclusionsOur study demonstrates that FLOT and SOX regimens are similarly effective for locally advanced gastric cancer patients in terms of clinical downstaging and pathological response. Both regimens were well-tolerated in this study. A large scale phase 3 randomized controlled trial is necessary to validate this result.

scholarly journals P-OGC36 Staging Laparoscopy in Oesophago-gastric cancers; A highly selective approach and its impact on patient outcome during COVID 19

2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Paul Koroma ◽  
Madhu Chaudhury ◽  
S Ali Raza Shehrazi ◽  
Christopher Ball ◽  
Paul Turner ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Patient Outcome ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Metastatic Disease ◽  
Advanced Disease ◽  
Staging Laparoscopy ◽  
Curative Surgery ◽  
Selective Approach ◽  
Significant Difference

Abstract Background Staging laparoscopy is performed in all Oesophago-gastric cancer patients suitable for radical treatment with tumour staged ≥T2 prior to neoadjuvant chemotherapy. In response to COVID 19 pandemic, on 25th March 2020, the joint statement issued by the Royal College of Surgeons and AUGIS advised all laparoscopic procedures should be avoided due to the risk of virus transmission associated with aerosol-generating procedures. In accordance with the guidance, a more selective approach on who underwent a staging laparoscopy was followed. This audit explores its impact on patient outcome comparing data from pre COVID period with the COVID period. Methods Retrospective and prospective data was collected for 24months on all OG cancer patients from 25th March2019 to 24th March2021. ‘Pre COVID’ period was defined as 25th March 2019 to 24th March 2020 and ‘COVID’ period was defined as 25th March 2020 to 24th March 2021. All patients with Oesophago-gastric cancer with MDT cancer staged ≥T2, suitable for neoadjuvant chemotherapy were included. Patients with tumour staged &lt;T2 and or diagnosed with squamous cell carcinoma involving upper or middle third of oesophagus were excluded. Fishers Exact model using SPSS V24 was used to identify any statistically significant differences between the 2 groups. Results Pre-COVID Period: 80patients underwent staging laparoscopy. Of these, 9patients(11.6%) with tumour staged as ≥T3 were declined curative surgery due to advanced disease(n = 2), metastatic disease(n = 3) or both(n = 4). In total, 40patients underwent curative surgery and there were 0 open/close laparotomies. COVID Period: Of the 79patients suitable for staging laparoscopy, only 7patients(8.7%) underwent laparoscopy. Of these, 3patients(3.8%) with tumour staged as ≥T3 were declined curative surgery due to advanced disease(n = 2) and metastatic disease(n = 1). In total, 33patients underwent curative surgery and only 1patient had an open/close laparotomy due to a liver metastases. No statistically significant difference was found p = 0.0913 Conclusions Staging laparoscopy is a useful tool for accurate staging of Oesophago-gastric cancers. It helps avoid unnecessary open and close laparotomy due to advanced disease and also allows us to assess patient fitness to major surgery. During the pandemic, the number of staging laparoscopies performed declined significantly but with no statistically significant difference to patient outcome. Thus we conclude,  the COVID 19 pandemic has enabled us to have a selective approach to performing staging laparoscopy in Oesophago-gastric patients with advanced disease staged ≥T3 only.

Treatment response and survival in patients with pancreatic adenocarcinoma receiving neoadjuvant chemotherapy or chemoradiation.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15715-e15715
Author(s):  
Ahmed Khattab ◽  
Sunita Patruni ◽  
Stephen Abel ◽  
Shaakir Hasan ◽  
Gene Grant Finley ◽  
...  
Keyword(s):  
Overall Survival ◽  
Logistic Regression ◽  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Pathologic Complete Response ◽  
Multivariable Analysis ◽  
Ductal Adenocarcinoma ◽  
Multivariable Logistic Regression ◽  
Predictors Of Response ◽  
Significant Difference

e15715 Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a poor prognosis. Neoadjuvant chemotherapy (NeoChT) and chemoradiation (NeoCRT) have emerged as strategies to optimize resection, but data investigating predictors of treatment response and the overall survival (OS) impact are not well characterized. To investigate the effects of NeoChT/NeoCRT on primary tumor/nodal downstaging and OS, we analyzed the national cancer database (NCDB). Methods: We queried the NCDB for patients with PDAC receiving NeoChT/NeoCRT. Patients were classified as responders (T and/or N downstage), nonresponders (mixed/no response) and progressors (T and/or N upstage). Multivariable logistic regression identified predictors of response. Univariable and multivariable analyses identified characteristics predictive of OS. Results: 2,028 patients with PDAC receiving NeoChT/NeoCRT were analyzed. Univariable analysis of responders (n = 790) vs. nonresponders/progressors (n = 1,238) demonstrated a significant difference in median OS at 29.1 months vs. 25.3 months and 3-year overall survival of 40% vs. 34% [p = 0.006; HR: 0.95 (95% CI: 0.84-1.08)] respectively. When compared independently to both responders and nonresponders, progressors had a significantly decreased 3-year OS at 31% vs 40% and 37% respectively [p = 0.003; HR: 0.82 (95% CI: 0.70-0.96)]. Predictors of response on multivariable logistic regression included receipt of multiagent chemotherapy and receipt of NeoCRT. Only NeoCRT predicted for pathologic complete response (pCR). Multivariable analysis of patients with pCR demonstrated a trend towards increased OS (p = .08). Conclusions: Our results suggest that both response and progression following neoadjuvant therapy may predict for longer and shorter OS respectively. Randomized, prospective studies are needed to further validate these findings. [Table: see text]

Surgical outcomes and rate of pathological response in resectable/borderline resectable pancreatic cancer patients undergoing neoadjuvant gemcitabine/nab-paclitaxel versus FOLFIRINOX: A retrospective institutional analysis.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16247-e16247
Author(s):  
Abraham Attah Attah ◽  
Saleha Rizwan ◽  
Khaled Alhamad ◽  
Micheal Turk ◽  
Palash Asawa ◽  
...  
Keyword(s):  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Surgical Resection ◽  
Locally Advanced ◽  
Small Sample ◽  
Ductal Adenocarcinoma ◽  
Categorical Variables ◽  
Adjuvant Setting ◽  
Borderline Resectable ◽  
Significant Difference

e16247 Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal solid tumors, predicted to become the second leading cause of cancer related death in some regions of the world. It often presents at an advanced stage, which contributes to poor five-year survival rates of 2%-9%, ranking firmly last amongst all cancer sites in terms of prognostic outcomes for patients. Only about 20% of the cases are diagnosed early enough to undergo surgical resection leading to complete remission. While chemotherapy has an established role in the setting of metastatic disease, utilizing it in the neo-adjuvant setting has been adopted by most institutes for resectable/ borderline resectable cases. Ongoing trials are exploring the use of different regimens in the neo-adjuvant setting. The aim of our study was to identify patients with resectable/borderline resectable PDAC undergoing neoadjuvant chemotherapy and differences in surgical outcome based on the regimen received i.e gemcitabine/ nab-Paclitaxel vs FOLFIRINOX. Methods: A retrospective review was conducted of all patients diagnosed with PDAC from 2017-2019 at Allegheny General Hospital. Data analysis was completed using IBM SPSS v23. Summary statistics were presented using percentages for categorical variables and medians with interquartile ranges for continuous variables. Results: Out of 121 patients who received and completed treatment in our institution, 30 underwent neoadjuvant chemotherapy treatment followed by surgical intervention. 21 (70%) patients were found to be borderline resectable, 8 (27%) patients were resectable and 1 patient had locally advanced PDAC. 16 (53%) patients received FOLFIRINOX compared to 13 (43%) patients received gem/nab-paclitaxel. Among patients who received neoadjuvant FOLFIRINOX, 5 out of 16 (31%) patients had moderate to significant treatment response at the time of surgery compared to 7 out of 13 (54%) patients who received gemcitabine/nab-paclitaxel. Conclusions: Our study revealed no significant difference (p=0.21) between the patients who received neoadjuvant gemcitabine/nab-paclitaxel vs FOLFIRINOX in terms of treatment response assessed pathologically at the time surgical resection. We recognize the limitations of our study in terms of it being a retrospective analysis with a small sample size and therefore further prospective and randomized controlled trials are needed to determine the most suitable and effective regimen in the neoadjuvant setting for resectable/borderline resectable PDAC patients. Response to treatment among different chemotherapy groups.[Table: see text]

scholarly journals The Safety and Efficacy of Laparoscopic Gastrectomy for Patients with Locally Advanced Gastric Cancer Following Neoadjuvant Chemotherapy

2020 ◽  
Author(s):  
Lihang Liu ◽  
Feng Li ◽  
Shengtao Lin ◽  
Yi Liu ◽  
Changshun Yang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Postoperative Complications ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Laparoscopic Gastrectomy ◽  
Locally Advanced ◽  
R0 Resection ◽  
Resection Rate ◽  
Locally Advanced Gastric Cancer ◽  
Significant Difference

Abstract Background: Limited researches focused on the application of laparoscopic gastrectomy (LG) in locally advanced gastric cancer (LAGC) patients following neoadjuvant chemotherapy (NACT). In this study, we aimed at illustrating the surgical and survival outcome of LG in LAGC patients following NACT.Methods: We performed a retrospective study of patients with LAGC who received either LG following NACT or upfront LG at Fujian Provincial Hospital between March 2013 and October 2018. Perioperative parameters, short-term and long-term outcomes were compared. The Kaplan-Meier estimator was used to describe the survival curves, and the differences were examined by the log-rank test.Results: In total, 76 consecutive patients were enrolled into the NACT-LG (41 patients) and LG (35 patients) group, respectively. There was no significant difference between the two groups for baseline characteristics, including age, sex, BMI, Eastern Clinical Oncology Group performance status, tumor size, location, Borrmann type, Lauren type, differentiation, cT stage, and surgical type (all P>0.05). The surgical trauma in terms of incision length and blood loss, and postoperative recovery in terms of first aerofluxus time, first time on liquid diets, drainage duration, and hospital stays were similar between the two groups (all P>0.05). The operation time was significantly longer for NACT-LG than for LG (286.5 vs. 248.9 min, P=0.008). There was no significant difference in surgical morbidity (19.5% vs. 22.9%, P=0.721) between the two groups. No patient died of postoperative complications in the NACT-LG group, and one patient (1/35, 2.9%) died of postoperative complications in the LG group (P=0.461). After NACT, the R0 resection rate was significantly higher (95.1% vs. 77.1%, P=0.049), and metastatic lymph nodes were less for NACT-LG than for LG (1 vs. 8, P=0.001). Compared with the LG group, the NACT-LG group had a significantly better DFS (59.4% vs. 14.4%, P=0.034) and better OS (69.0% vs. 37.4%, P=0.009) at 3 years.Conclusions: NACT does not decrease safety of LG for patients with LAGC and offer higher R0 resection rate and better disease-free and overall survival. For patients with LAGC, LG following NACT should be the priority treatment.

scholarly journals A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Yonghe Chen ◽  
Kaikai Wei ◽  
Dan Liu ◽  
Jun Xiang ◽  
Gang Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Prediction Model ◽  
Advanced Gastric Cancer ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Pathological Response ◽  
Validation Data ◽  
Response To Neoadjuvant Chemotherapy

AimsTo develop and validate a model for predicting major pathological response to neoadjuvant chemotherapy (NAC) in advanced gastric cancer (AGC) based on a machine learning algorithm.MethodA total of 221 patients who underwent NAC and radical gastrectomy between February 2013 and September 2020 were enrolled in this study. A total of 144 patients were assigned to the training cohort for model building, and 77 patients were assigned to the validation cohort. A major pathological response was defined as primary tumor regressing to ypT0 or T1. Radiomic features extracted from venous-phase computed tomography (CT) images were selected by machine learning algorithms to calculate a radscore. Together with other clinical variables selected by univariate analysis, the radscores were included in a binary logistic regression analysis to construct an integrated prediction model. The data obtained for the validation cohort were used to test the predictive accuracy of the model.ResultA total of 27.6% (61/221) patients achieved a major pathological response. Five features of 572 radiomic features were selected to calculate the radscores. The final established model incorporates adenocarcinoma differentiation and radscores. The model showed satisfactory predictive accuracy with a C-index of 0.763 and good fitting between the validation data and the model in the calibration curve.ConclusionA prediction model incorporating adenocarcinoma differentiation and radscores was developed and validated. The model helps stratify patients according to their potential sensitivity to NAC and could serve as an individualized treatment strategy-making tool for AGC patients.

scholarly journals Impact of preoperative endoscopy for predicting treatment response and prognosis in patients with gastric cancer after neoadjuvant chemotherapy

2022 ◽  
Vol 10 (01) ◽  
pp. E62-E73
Author(s):  
Yoshiaki Shoji ◽  
Souya Nunobe ◽  
Naoki Nishie ◽  
Shusuke Yagi ◽  
Rie Makuuchi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Treatment Response ◽  
Endoscopic Treatment ◽  
Evaluation Criteria ◽  
Number Of Patients ◽  
Pathological Evaluation ◽  
Preoperative Factor ◽  
Endoscopic Assessment ◽  
Predict Treatment Response

Abstract Background and study aims Response evaluation criteria in solid tumors (RECIST) have been the gold standard to preoperatively predict treatment response and prognosis in patients with gastric cancer (GC) after neoadjuvant chemotherapy (NAC); however, methods for patients without evaluable lesions by RECIST are not yet confirmed. The aim of this study was to assess the utility of preoperative endoscopy for predicting treatment response and prognosis in patients with GC after NAC. Patients and methods This retrospective study included 105 patients with initially resectable GC who underwent NAC followed by surgical treatment. Preoperative factors for predicting treatment response and survival outcomes were analyzed. Results The number of patients classified as responders using preoperative endoscopic assessment, RECIST, and postoperative pathological evaluation were 25 (23.8 %), 28 (26.7 %), and 18 (17.1 %), respectively. Forty-three patients (41 %) were classified as non-targeted disease only, and their treatment responses were not evaluable by RECIST. Multivariate analysis identified endoscopic response as an independent preoperative factor to predict postoperative histological treatment response (odds ratio = 4.556, 95 % CI = 1.169–17.746, P = 0.029). Endoscopic treatment response was the only independent preoperative predictive factor for overall survival (OS) (hazard ratio = 0.419, 95 % confidence interval (CI) = 0.206–0.849, P = 0.016). Further, endoscopic treatment response was available for 33 patients (76.7 %) with non-targeted disease only, which showed significantly different OS between endoscopic responders (80.0 %) and non-responders (43.5 %) (P = 0.025). Conclusions Endoscopic evaluation was an independent preoperative factor to predict treatment response and prognosis in patients with GC after NAC. Endoscopic assessment may be especially valuable for patients who could not be assessed by RECIST.

Multi-parametric FDG PET/MRI as an early predictor of response to neoadjuvant chemotherapy in patients with epithelial ovarian cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 5569-5569
Author(s):  
Melissa Kristen Frey ◽  
Zacharia Sawaged ◽  
Ana M Franceschi ◽  
Kent P Friedman ◽  
Kathleen Lutz ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Epithelial Ovarian Cancer ◽  
Treatment Response ◽  
Stable Disease ◽  
Fdg Pet ◽  
Molecular Diffusion ◽  
Volume Fraction ◽  
Diffusion Restriction ◽  
Significant Difference

5569 Background: For patients with ovarian cancer undergoing neoadjuvant chemotherapy, the effectiveness of treatment is not evaluable by conventional methods until all or much of the treatment has been given. The purpose of this study is to investigate the performance of FDG PET, dynamic contrast-enhanced (DCE) and intra-voxel incoherent motion (IVIM) MR as early predictors of treatment response. Methods: Subjects with a new diagnosis of epithelial ovarian cancer underwent 3 cycles of standardized chemotherapy followed by cytoreduction. FDG PET/MR including DCE and IVIM was performed at baseline (T0), after cycle 1 (T1) and after cycle 3 (T2) of chemotherapy. Final responses were categorized at T2 by RECIST 1.1. Image volumes at T1 were analyzed as predictors of final response. Parametric images of molecular diffusion restriction (D), tissue perfusion (D*), vascular volume fraction (F), blood- > interstitium constant of transfer (Ktrans), interstitum- > plasma constant of transfer (Kep), extravascular/extracellular volume % (Ve) and plasma volume % (Ve) were investigated along with routine measures of SUV and ADC. Results: Nine subjects were enrolled, 8 were responders by RECIST at T2 and one had stable disease. At T0 the mean, min, and max SUVmax of dominant tumor deposits was 11.5, 6.3, 19.0, respectively. Mean, min, and max values were 1.0, 0.75 and 1.63 for ADCmean and 0.62, 0.30, 0.96 for ADCmin. At T1, ADCmean increased in 8 subjects by +0.22% (s.d. +/- 13%) and decreased by -3% in one subject. ADCmin increased in 8 subjects by +21% (s.d. +/-11%) and decreased by -23% in one subject. D increased for 8 subjects (average +29% s.d. +/- 13%) and decreased by -10% in one. D*, F, Kep, Ktrans, Ve and Vp had no recognizable pattern. At T2, SUVmax, SUVmin, and ADCmean maintained their change direction across all subjects with measurable lesions. The only subject with a complete response at T2 had the highest ADCmin and ADCmean change at +45% after one cycle of chemotherapy (T1). The subject with stable disease at T2 had no significant difference in changes amongst all metrics. Conclusions: FDG PET/MR SUVmax and ADCmean values obtained after one cycle of neoadjuvant chemotherapy were consistently associated with partial anatomical treatment responses after three cycles. Molecular diffusion restriction also was reliably associated with treatment response. Future studies evaluating FDG PET/MR in platinum-resistant patients may allow for early discontinuation of ineffective and toxic treatment.

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