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Dive into the research topics where Ivan Jambor is active.

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Featured researches published by Ivan Jambor.


Clinical Cancer Research | 2013

In Vivo Imaging of Prostate Cancer Using [68Ga]-Labeled Bombesin Analog BAY86-7548

Esa Kähkönen; Ivan Jambor; Jukka Kemppainen; Kaisa Lehtiö; Tove Grönroos; Anna Kuisma; Pauliina Luoto; Henri J Sipila; Tuula Tolvanen; Kalle Alanen; Jonna Silén; Markku Kallajoki; Anne Roivainen; Niklaus Schäfer; Roger Schibli; Martina Dragic; Anass Johayem; Ray Valencia; Sandra Borkowski; Heikki Minn

Purpose: A novel [68Ga]-labeled DOTA-4-amino-1-carboxymethyl-piperidine-D-Phe-Gln-Trp-Ala-Val-Gly-His-Sta-Leu-NH2 peptide (BAY86-7548) having high affinity to bombesin receptor subtype II to detect primary and metastatic prostate carcinoma using positron emission tomography/computed tomography (PET/CT) was synthesized and evaluated for prostate cancer. Experimental Design: In this first human study with BAY86-7548, 14 men scheduled for radical prostatectomy (n = 11) or with biochemical recurrence after surgery or hormonal therapy (n = 3) were enrolled. The patients received an intravenous injection of BAY86-7548 followed by over 60-minute dynamic imaging of prostate gland (n = 10) and/or subsequent whole-body imaging (n = 14). The visual assessment of PET/CT images included evaluation of intraprostatic (12 subsextants) and pelvic nodal uptake of BAY86-7548 in 11 surgical patients and detection of potential metastatic foci in all patients. In patients with biochemical recurrence, results were compared with those of either [11C]-acetate (n = 2) or [18F]-fluoromethylcholine (n = 1) PET/CT. Results: We found a sensitivity, specificity, and accuracy of 88%, 81% and 83%, respectively, for detection of primary PCa and sensitivity of 70% for metastatic lymph nodes using histology as gold standard. BAY86-7548 correctly detected local recurrence in prostate bed and showed nodal relapse in accordance with [11C]-acetate PET/CT in 2 patients with biochemical relapse. In the third hormone refractory patient, BAY86-7548 failed to show multiple bone metastases evident on [18F]-fluoromethylcholine PET/CT. Conclusion: BAY86-7548 PET/CT is a promising molecular imaging technique for detecting intraprostatic prostate cancer. Clin Cancer Res; 19(19); 5434–43. ©2013 AACR.


Acta Oncologica | 2016

Prospective evaluation of planar bone scintigraphy, SPECT, SPECT/CT, 18F-NaF PET/CT and whole body 1.5T MRI, including DWI, for the detection of bone metastases in high risk breast and prostate cancer patients: SKELETA clinical trial

Ivan Jambor; Anna Kuisma; Susan Ramadan; Riikka Huovinen; Minna Sandell; Sami Kajander; Jukka Kemppainen; Esa Kauppila; Joakim Auren; Harri Merisaari; Jani Saunavaara; Tommi Noponen; Heikki Minn; Hannu J. Aronen; Marko Seppänen

Purpose. Detection of bone metastases in breast and prostate cancer patients remains a major clinical challenge. The aim of the current trial was to compare the diagnostic accuracy of 99mTc-hydroxymethane diphosphonate (99mTc-HDP) planar bone scintigraphy (BS), 99mTc-HDP SPECT, 99mTc-HDP SPECT/CT, 18F-NaF PET/CT and whole body 1.5 Tesla magnetic resonance imaging (MRI), including diffusion weighted imaging, (wbMRI+DWI) for the detection of bone metastases in high risk breast and prostate cancer patients. Material and methods. Twenty-six breast and 27 prostate cancer patients at high risk of bone metastases underwent 99mTc-HDP BS, 99mTc-HDP SPECT, 99mTc-HDP SPECT/CT, 18F-NaF PET/CT and wbMRI+DWI. Five independent reviewers interpreted each individual modality without the knowledge of other imaging findings. The final metastatic status was based on the consensus reading, clinical and imaging follow-up (minimal and maximal follow-up time was 6, and 32 months, respectively). The bone findings were compared on patient-, region-, and lesion-level. Results. 99mTc-HDP BS was false negative in four patients. In the region-based analysis, sensitivity values for 99mTc-HDP BS, 99mTc-HDP SPECT, 99mTc-HDP SPECT/CT, 18F-NaF PET/CT, and wbMRI+DWI were 62%, 74%, 85%, 93%, and 91%, respectively. The number of equivocal findings for 99mTc-HDP BS, 99mTc-HDP SPECT, 99mTc-HDP SPECT/CT, 18F-NaF PET/CT and wbMRI+DWI was 50, 44, 5, 6, and 4, respectively. Conclusion. wbMRI+DWI showed similar diagnostic accuracy to 18F-NaF PET/CT and outperformed 99mTc-HDP SPECT/CT, and 99mTc-HDP BS.


Magnetic Resonance in Medicine | 2015

Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: A repeatability study

Ivan Jambor; Harri Merisaari; Pekka Taimen; Peter J. Boström; Heikki Minn; Marko Pesola; Hannu J. Aronen

To evaluate monoexponential, stretched exponential, kurtosis, and biexponential models for diffusion‐weighted imaging (DWI) of normal prostate and prostate cancer (PCa), using b‐values up to 2000 s/mm2, in terms of fitting quality and repeatability.


European Journal of Radiology | 2012

Improved detection of localized prostate cancer using co-registered MRI and 11C-acetate PET/CT.

Ivan Jambor; Ronald Borra; Jukka Kemppainen; Virva Lepomäki; Riitta Parkkola; Kirsti I. Dean; Kalle Alanen; Eveliina Arponen; Martti Nurmi; Hannu J. Aronen; Heikki Minn

OBJECTIVES We aimed to study the ability of contrast enhanced MRI at 1.5 T and 11C-acetate PET/CT, both individually and using fused data, to detect localized prostate cancer. METHODS Thirty-six men with untreated prostate cancer and negative for metastatic disease on pelvic CT and bone scan were prospectively enrolled. A pelvic 11C-acetate PET/CT scan was performed in all patients, and a contrast enhanced MRI scan in 33 patients (6 examinations using both endorectal coil and surface coils, and 27 examinations using surface coils only). After the imaging studies 10 patients underwent prostatectomy and 26 were treated by image guided external beam radiation treatment. Image fusion of co-registered PET and MRI data was performed based on anatomical landmarks visible on CT and MRI using an advanced in-house developed software package. PET/CT, MRI and fused PET/MRI data were evaluated visually and compared with biopsy findings on a lobar level, while a sextant approach was used for patients undergoing prostatectomy. RESULTS When using biopsy samples as method of reference, the sensitivity, specificity and accuracy for visual detection of prostate cancer on a lobar level by contrast enhanced MRI was 85%, 37%, 73% and that of 11C-acetate PET/CT 88%, 41%, 74%, respectively. Fusion of PET with MRI data increased sensitivity, specificity and accuracy to 90%, 72% and 85%, respectively. CONCLUSIONS Fusion of sequentially obtained PET/CT and MRI data for the localization of prostate cancer is feasible and superior to the performance of each individual modality alone.


Magnetic Resonance in Medicine | 2015

Optimization of b-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging using b values up to 2000 s/mm(2): simulation and repeatability study.

Harri Merisaari; Ivan Jambor

To find optimal b‐value distributions for monoexponential, stretched exponential, kurtosis, and biexponential models of prostate cancer (PCa) diffusion‐weighted imaging (DWI) using simulations and repeated DWI examinations.


Magnetic Resonance in Medicine | 2015

Mathematical models for diffusion-weighted imaging of prostate cancer using b values up to 2000 s/mm2: Correlation with Gleason score and repeatability of region of interest analysis

Jussi Toivonen; Harri Merisaari; Marko Pesola; Pekka Taimen; Peter J. Boström; Tapio Pahikkala; Hannu J. Aronen; Ivan Jambor

To evaluate four mathematical models for diffusion weighted imaging (DWI) of prostate cancer (PCa) in terms of PCa detection and characterization.


Journal of Magnetic Resonance Imaging | 2014

Optimization of b‐value distribution for biexponential diffusion‐weighted MR imaging of normal prostate

Ivan Jambor; Harri Merisaari; Hannu J. Aronen; Jukka Järvinen; Jani Saunavaara; Tommi Kauko; Ronald Borra; Marko Pesola

To determine the optimal b‐value distribution for biexponential diffusion‐weighted imaging (DWI) of normal prostate using both a computer modeling approach and in vivo measurements.


Journal of Magnetic Resonance Imaging | 2015

Prebiopsy multiparametric 3T prostate MRI in patients with elevated PSA, normal digital rectal examination, and no previous biopsy.

Ivan Jambor; Esa Kähkönen; Pekka Taimen; Harri Merisaari; Jani Saunavaara; Kalle Alanen; Branislav Obsitnik; Heikki Minn; Viera Lehotska; Hannu J. Aronen

To find the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) and mpMRI targeted transrectal ultrasound (TRUS)‐guided biopsy using visual coregistration (TB) in patients with elevated prostate‐specific antigen (PSA), normal digital rectal examination, and no previous biopsy.


Magnetic Resonance in Medicine | 2017

Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction

Harri Merisaari; Parisa Movahedi; Ileana Montoya Perez; Jussi Toivonen; Marko Pesola; Pekka Taimen; Peter J. Boström; Tapio Pahikkala; Aida Kiviniemi; Hannu J. Aronen; Ivan Jambor

To evaluate different fitting methods for intravoxel incoherent motion (IVIM) imaging of prostate cancer in the terms of repeatability and Gleason score prediction.


Journal of Magnetic Resonance Imaging | 2017

Novel biparametric MRI and targeted biopsy improves risk stratification in men with a clinical suspicion of prostate cancer (IMPROD Trial)

Ivan Jambor; Peter J. Boström; Pekka Taimen; Kari Syvänen; Esa Kähkönen; Markku Kallajoki; Ileana Montoya Perez; Tommi Kauko; Jaakko Matomäki; Otto Ettala; Harri Merisaari; Aida Kiviniemi; Peter B. Dean; Hannu J. Aronen

To evaluate the role of a 3T biparametric magnetic resonance imaging (bpMRI), T2‐weighted imaging, and three separate diffusion‐weighted imaging acquisitions combined with targeted biopsy (TB) for improving risk stratification of men with elevated prostate‐specific antigen (PSA).

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Pekka Taimen

Turku University Hospital

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Heikki Minn

Turku University Hospital

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Otto Ettala

Turku University Hospital

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Esa Kähkönen

Turku University Hospital

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Kari Syvänen

Turku University Hospital

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