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Dive into the research topics where Jijo Paul is active.

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Featured researches published by Jijo Paul.


Journal of Computer Assisted Tomography | 2014

Oncological applications of dual-energy computed tomography imaging.

Jijo Paul; Thomas Vogl; Emmanuel Mbalisike

Abstract Dual-energy computed tomography (DECT) imaging is a promising method used in oncology for accurate detection/diagnosis of malignant and benign lesions. Use of dual-energy spectral, weighted average, color-coded map, and virtual unenhanced images provides increased visual detection and easy lesion delineation. Lesion detectability, sensitivity, and conspicuity are significantly improved using DECT. Material characterization and decomposition are promising using DECT. Both anatomical and functional information related to oncology can be provided by DECT using single contrast-enhanced CT.


BioMed Research International | 2015

Ultrafast Cone-Beam Computed Tomography: A Comparative Study of Imaging Protocols during Image-Guided Therapy Procedure

Jijo Paul; Annamma Chacko; Mohammad Farhang; Shahram Kamali; Mohsen Tavanania; Thomas J. Vogl; Bita Panahi

Objective. To evaluate two ultrafast cone-beam CT (UF-CBCT) imaging protocols with different acquisition and injection parameters regarding image quality and required contrast media during image-guided hepatic transarterial chemoembolization (TACE). Methods. In 80 patients (male: 46, female: 34; mean age: 56.8 years; range: 33–83) UF-CBCT was performed during TACE for intraprocedural guidance. Imaging was performed using two ultrafast CBCT acquisition protocols with different acquisition and injection parameters (imaging protocol 1: acquisition time 2.54 s, and contrast 6 mL with 3 s delay; imaging protocol 2: acquisition time 2.72 s, and contrast 7 mL with 6 s delay). Image evaluation was performed with both qualitative and quantitative methods. Contrast injection volume and dose parameters were compared using values from the literature. Results. Imaging protocol 2 provided significantly better (P < 0.05) image quality than protocol 1 at the cost of slightly higher contrast load and patient dose. Imaging protocol 1 provided good contrast perfusion but it mostly failed to delineate the tumors (P < 0.05). On the contrary, imaging protocol 2 showed excellent enhancement of hepatic parenchyma, tumor, and feeding vessels. Conclusion. Tumor delineation, visualization of hepatic parenchyma, and feeding vessels are clearly possible using imaging protocol 2 with ultrafast CBCT imaging. A reduction of required contrast volume and patient dose were achieved due to the ultrafast CBCT imaging.


Physics in Medicine and Biology | 2015

Detectability of hepatic tumors during 3D post-processed ultrafast cone-beam computed tomography.

Jijo Paul; Thomas J. Vogl; Annamma Chacko

To evaluate hepatic tumor detection using ultrafast cone-beam computed tomography (UCBCT) cross-sectional and 3D post-processed image datasets. 657 patients were examined using UCBCT during hepatic transarterial chemoembolization (TACE), and data were collected retrospectively from January 2012 to September 2014. Tumor detectability, diagnostic ability, detection accuracy and sensitivity were examined for different hepatic tumors using UCBCT cross-sectional, perfusion blood volume (PBV) and UCBCT-MRI (magnetic resonance imaging) fused image datasets. Appropriate statistical tests were used to compare collected sample data. Fused image data showed the significantly higher (all P  <  0.05) diagnostic ability for hepatic tumors compared to UCBCT or PBV image data. The detectability of small hepatic tumors (<5 mm) was significantly reduced (all P  <  0.05) using UCBCT cross-sectional images compared to MRI or fused image data; however, PBV improved tumor detectability using a color display. Fused image data produced 100% tumor sensitivity due to the simultaneous availability of MRI and UCBCT information during tumor diagnosis. Fused image data produced excellent hepatic tumor sensitivity, detectability and diagnostic ability compared to other datasets assessed. Fused image data is extremely reliable and useful compared to UCBCT cross-sectional or PBV image datasets to depict hepatic tumors during TACE. Partial anatomical visualization on cross-sectional images was compensated by fused image data during tumor diagnosis.


Future Oncology | 2013

Repetitive chemoembolization of hypovascular liver metastases from the most common primary sites

Parviz Farshid; Abbas Darvishi; N Naguib; Babak Bazrafshan; Jijo Paul; Emmanuel Mbalisike; Thomas Vogl

AIM To evaluate tumor response in patients with hypovascular liver metastases from the most common primary sites treated with chemoembolization. MATERIALS & METHODS Chemoembolization was performed in 190 patients (five groups) who had hypovascular liver metastases from the colon (n = 66), breast (n = 40), uveal malignant melanoma (n = 20), pancreas (n = 48) and stomach (n = 16). Surgical resection of primary sites had been performed for all included patients. Tumor response, survival statistics from the first chemoembolization using Kaplan-Meier method and progression rate of embolized lesions were evaluated by analysis of variance with Tukeys post hoc test. RESULTS Multiple comparison between the groups showed no statistical significant difference in local tumor response (H: 9.23; p > 0.05). Survival indices of the patients, including survival rate, progression-free survival rate, median survival time and time to progression, demonstrated significant difference between the groups during the follow-up period (H: 9.7; p = 0.045). The progression rate of treated liver metastases from colon, breast, uvea, pancreas and stomach were 16.6, 17.5, 30.0, 25.0 and 32.0%, respectively (p = 0.002). CONCLUSION Hypovascular liver metastases treated with chemoembolization may demonstrate equal local response, but are significantly different in rate of progression and survival.


Abdominal Imaging | 2015

Ablation therapy of hepatocellular carcinoma: a comparative study between radiofrequency and microwave ablation

Thomas Vogl; Parviz Farshid; N Naguib; Stefan Zangos; Boris Bodelle; Jijo Paul; Emannuel C. Mbalisike; Martin Beeres; Nour-Eldin A. Nour-Eldin


Imaging in Medicine | 2012

Radiation dose and image quality evaluation relative to different contrast media using cone-beam CT

Jijo Paul; Thomas Vogl; Emmanuel Mbalisike


Future Oncology | 2013

Magnetic resonance temperature imaging of laser-induced thermotherapy: assessment of fast sequences in ex vivo porcine liver

Babak Bazrafshan; Frank Hübner; Parviz Farshid; Jijo Paul; Renate Hammerstingl; Vitali Vogel; Werner Mäntele; Thomas Vogl


European Radiology | 2014

Ultrafast cone-beam computed tomography imaging and postprocessing data during image-guided therapeutic practice.

Jijo Paul; Emmanuel Mbalisike; Thomas Vogl


International Journal of Radiation Oncology Biology Physics | 2017

Early Assessment of Treatment Responses During Radiation Therapy for Lung Cancer Using Quantitative Analysis of Daily Computed Tomography

Jijo Paul; C. Yang; Hui Wu; A. Tai; E. Dalah; Cheng Zheng; Candice Johnstone; Feng Ming Kong; Elizabeth Gore; X. Allen Li


International Journal of Radiation Oncology Biology Physics | 2016

Quantitative Computed Tomography for Tumor Response Assessment During Radiation Therapy for Lung Cancer

Jijo Paul; Elizabeth Gore; A. Li

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Thomas Vogl

University of Münster

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Emmanuel Mbalisike

Goethe University Frankfurt

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Elizabeth Gore

Medical College of Wisconsin

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Parviz Farshid

Goethe University Frankfurt

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A. Li

Medical College of Wisconsin

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Cheng Zheng

University of Wisconsin–Milwaukee

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Babak Bazrafshan

Goethe University Frankfurt

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Thomas J. Vogl

Goethe University Frankfurt

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Werner Maentele

Goethe University Frankfurt

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N Naguib

Alexandria University

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