Radiomic Analysis for Pretreatment Prediction of Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer: A Multicentre Study

Sun, Caixia; Tian, Xun; Liu, Zhenyu; Li, Weili; Li, Pengfei; Chen, Jiaming; Zhang, Weifeng; Fang, Ziyu; Du, Peiyan; Duan, Hui; Liu, Ping; Wang, Lihui; Chen, Chunlin; Hui, Hui

doi:10.2139/ssrn.3399594

Cited by 21 publications

(27 citation statements)

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“…There is emerging evidence that predictive models should not be limited to mere tumor areas. Recent studies 24 , 25 , 26 , 37 , 38 , 39 , 40 have shown that the surrounding regions may provide complementary information on tumor heterogeneity in other cancers. Here we proposed a noninvasive, CT-based radiomics model with favorable predictive value using both intratumoral and peritumoral radiomics features to predict the possibility of pCR in patients with ESCC before receiving nCRT.…”

Section: Discussionmentioning

confidence: 99%

“…Braman et al 24 showed that peritumoral radiomics possessed valuable pCR-related attributes in breast cancer across different molecular types. Sun and colleagues 25 reported an area under the receiver operating characteristic curve (AUC) of 0.999 in the testing set of a magnetic resonance imaging–based model combining intratumoral and peritumoral radiomics for predicting response to neoadjuvant chemotherapy in cervical cancer. Khorrami et al 26 reported that peritumoral radiomics features derived from CT images were predictive of response to chemotherapy in lung adenocarcinoma.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma

Xie

Yang

et al. 2020

JAMA Netw Open

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Key Points Question Are peritumoral radiomics features extracted from pretreatment computed tomography images predictive of pathological complete response following neoadjuvant chemoradiation in patients with esophageal squamous cell carcinoma? Findings In this diagnostic study of 231 patients, the developed model integrating intratumoral and peritumoral radiomics features achieved improvement of predictive performance (area under the receiver operating characteristic curve, 0.852) compared with the conventionally constructed model merely using intratumoral radiomics features (area under the receiver operating characteristic curve, 0.730). Meaning Peritumoral radiomics may provide additional predictive value for treatment response estimation in esophageal squamous cell carcinoma and thus benefit individualized therapeutic strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma

Xie

Yang

et al. 2020

JAMA Netw Open

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“…Sun et al built random forest models with features extracted from both T1WI and T2WI to predict responses after neoadjuvant chemotherapy in cervical cancer patients. Unlike the studies cited above, our models predicted time-to-event survival outcomes rather than a dichotomized treatment response [34]. In this context, it is important to note that treatment responses often do not translate into improvements in overall survival [24].…”

Section: Discussionmentioning

confidence: 94%

Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis

et al. 2020

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Background: Current chemoradiation regimens for locally advanced cervical cancer are fairly uniform despite a profound diversity of treatment response and recurrence patterns. The wide range of treatment responses and prognoses to standardized concurrent chemoradiation highlights the need for a reliable tool to predict treatment outcomes. We investigated pretreatment magnetic resonance (MR) imaging features of primary tumor and involved lymph node for predicting clinical outcome in cervical cancer patients. Methods: We included 93 node-positive cervical cancer patients treated with definitive chemoradiotherapy at our institution between 2006 and 2017. The median follow-up period was 38 months (range, 5-128). Primary tumor and involved lymph node were manually segmented on axial gadolinium-enhanced T1-weighted images as well as T2weighted images and saved as 3-dimensional regions of interest (ROI). After the segmentation, imaging features related to histogram, shape, and texture were extracted from each ROI. Using these features, random survival forest (RSF) models were built to predict local control (LC), regional control (RC), distant metastasis-free survival (DMFS), and overall survival (OS) in the training dataset (n = 62). The generated models were then tested in the validation dataset (n = 31). Results: For predicting LC, models generated from primary tumor imaging features showed better predictive performance (C-index, 0.72) than those from lymph node features (C-index, 0.62). In contrast, models from lymph nodes showed superior performance for predicting RC, DMFS, and OS compared to models of the primary tumor. According to the 3-year time-dependent receiver operating characteristic analysis of LC, RC, DMFS, and OS prediction, the respective area under the curve values for the predicted risk of the models generated from the training dataset were 0.634, 0.796, 0.733, and 0.749 in the validation dataset. Conclusions: Our results suggest that tumor and lymph node imaging features may play complementary roles for predicting clinical outcomes in node-positive cervical cancer.

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“…DCE-MRI can acquire the data about tumor blood vessel penetrability and perfusion. Pharmacokinetic indexes can obtain tumor blood vessel variation.It is reported that DCE-MRI indexes can predict tumor response to treatment and be used as a reliable method to follow up the changes of tumor blood vessels [4].…”

Section: Introductionmentioning

confidence: 99%

Endostar Rebuilding Vascular Homeostasis and Enhancing Chemotherapy Efficacy in Cervical Cancer Treatment

guan

2020

Preprint

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Background:The incidence rate of cervical cancer is the highest in the reproductive tract, and is not sensitive to chemotherapy. An appropriate amount of antiangiogenic agents can reconstruct tumor blood vessels in a short period of time and form vascular homeostasis, increase the function of blood vessel perfusion and reverse the multidrug resistance of chemotherapy, which is also called "vascular normalization".Endostar(a recombinant human endostatin) was developed by China and as a multi-target anti-angiogenesis agent.Endostar was mainly used in the treatment of non-small cell lung cancer, fewer reported in the treatment of cervical cancer.Purpose:To determine whether endostar can rebuild tumor vascular homeostasis and enhance chemotherapy effects for patients with cervical cancer.Methods:In this study,the patients with cervical cancer within stage IIB2 were selected,endostar combined with cisplatin+paclitaxel neoadjuvant chemotherapy(NACT) before radical surgical operation was adopted, patients outcome and adverse reaction were followed up.The changes of tumor vascular structure and perfusion function before and after endostar given were evaluated by histopathology and dynamic contrast-enhanced magnetic resonance imaging(DEC-MRI). VEGF-Notch signal pathway was detected for the regulating mechanism of vascular proliferation in different groups. GraphPad Prism 6 software were used for statistical analysis of the study results.Results:Endostar enhanced short-term (2 year) overall survival(OS) ,progression free survival(PFS) rates for cervical cancer patients.All the same,endostar increased long term (5 year) OS and PFS for cervical cancer patients.Endostar therapy exhibited with mild adverse reaction.MRI showed endostar+NACT further reduce tumor volume than NACT alone.The parameters of Ktrans,Ve for DEC-MRI in endostar group exhibited obviously increase than NACT group.Tumor vascular maturation index α-SMA/CD31 in endostar group increased obviously than NACT group, correspondingly Ki67 staining for tumor proliferative rates,lymphvascular space invasion in endostar group further declined than NACT group. The genes and proteins expression of VEGFR2,Notch1,Notch1,4,Dll4,Jagged-1 were obviously down regulated in endostar group comparing to NACT group.Conclusions: Endorstar restored vascular homeostasis in cervical cancer temporarily, enhanced chemotherapeutic agents resistance in cervical cancer, increased patient overall survival ratio.The VEGF-Notch connection blocked by endostar may play a role in this effects.

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Radiomic Analysis for Pretreatment Prediction of Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer: A Multicentre Study

Cited by 21 publications

References 0 publications

Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma

Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma

Magnetic resonance imaging features of tumor and lymph node to predict clinical outcome in node-positive cervical cancer: a retrospective analysis

Endostar Rebuilding Vascular Homeostasis and Enhancing Chemotherapy Efficacy in Cervical Cancer Treatment

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