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Study Comparing Radio Frequency Ablation Plus Chemotherapy and Chemotherapy Alone in Patients With Unresectable CRLM

ABSTRACT: To date no prospective trials have been completed that demonstrated whether RFA is an effective adjunct to systemic chemotherapy (target therapy) with respect to advantages in overall survival compared with chemotherapy (target therapy) alone. The primary objective of this trial is to determine overall survival for patients with colorectal cancer liver metastasis are treated with radiofrequency ablation plus chemotherapy ± target therapy, compared to chemotherapy ± target therapy only.

DISEASE(S): Neoplasm Metastasis,Colorectal Cancer,Colorectal Neoplasms,Colorectal Cancer Liver Metastasis,Liver Neoplasms

PROVIDER: 2242376 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Study Comparing HAI Plus Chemotherapy and Chemotherapy Alone in Patients With Unresectable CRLM

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TACE(Transcatheter Arterial Chemoembolization ) Associated With Systemic Chemotherapy Versus Systemic Chemotherapy Alone in Patients With Unresectable CRLM(Colorectal Liver Metastases)

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Study Comparing Radio Frequency Ablation Plus Chemotherapy and Chemotherapy Alone in Patients With Secondary Liver Metastases

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The Effects of RFA in Combination With Second-line Chemotherapy and Bevacizumab on Unresectable CRLM

Project description:Basing on the strong evidence from former researches, patients with CRLM can benefit from the treatment of bevacizumab combined with sencond-line chemotherapy. Recently, although with the popularization of RFA, the role that RFA plays in the long term survival of patients with metastatic colorectal cancer (CRC) is still confused. In this designed, randomized, controlled, prospective, and open clinical trial, the effectiveness of RFA combined with second-line chemotherapy + bevacizumab on unresectable CRLM is going to be evaluated compared with that of second-line chemotherapy + bevacizumab. After screened by inclusion and exclusion criteria, the eligible subjects will be randomly allocated into the experimental group-with the treatment of RFA + second-line chemotherapy + bevacizumab and control group-with the treatment of second-line chemotherapy + bevacizumab equally.

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Soft Radio-Frequency Identification Sensors: Wireless Long-Range Strain Sensors Using Radio-Frequency Identification.

Project description:Increasing amounts of attention are being paid to the study of Soft Sensors and Soft Systems. Soft Robotic Systems require input from advances in the field of Soft Sensors. Soft sensors can help a soft robot to perceive and to act upon its immediate environment. The concept of integrating sensing capabilities into soft robotic systems is becoming increasingly important. One challenge is that most of the existing soft sensors have a requirement to be hardwired to power supplies or external data processing equipment. This requirement hinders the ability of a system designer to integrate soft sensors into soft robotic systems. In this article, we design, fabricate, and characterize a new soft sensor, which benefits from a combination of radio-frequency identification (RFID) tag design and microfluidic sensor fabrication technologies. We designed this sensor using the working principle of an RFID transporter antenna, but one whose resonant frequency changes in response to an applied strain. This new microfluidic sensor is intrinsically stretchable and can be reversibly strained. This sensor is a passive and wireless device, and as such, it does not require a power supply and is capable of transporting data without a wired connection. This strain sensor is best understood as an RFID tag antenna; it shows a resonant frequency change from approximately 860 to 800 MHz upon an applied strain change from 0% to 50%. Within the operating frequency, the sensor shows a standoff reading range of >7.5 m (at the resonant frequency). We characterize, experimentally, the electrical performance and the reliability of the fabrication process. We demonstrate a pneumatic soft robot that has four microfluidic sensors embedded in four of its legs, and we describe the implementation circuit to show that we can obtain movement information from the soft robot using our wireless soft sensors.

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Project description: Not available

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