Hannu Aronen

The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator (2022)

European Urology Open Science

Parekh Sneha, Ratnani Parita, Falagario Ugo, Lundon Dara, Kewlani Deepshikha, Nasri Jordan, Dovey Zach, Stroumbakis Dimitrios, Ranti Daniel, Grauer Ralph, Sobotka Stanislaw, Pedraza Adriana, Wagaskar Vinayak, Mistry Lajja, Jambor Ivan, Lantz Anna, Ettala Otto, Stabile Armando, Taimen Pekka, Aronen Hannu J, Knaapila Juha, Perez Ileana Montoya, Gandaglia Giorgio, Martini Alberto, Picker Wolfgang, Haug Erik, Cormio Luigi, Nordström Tobias, Briganti Alberto, Boström Peter J, Carrieri Giuseppe, Haines Kenneth, Gorin Michael A, Wiklund Peter, Menon Mani, Tewari Ash

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Individualised non-contrast MRI-based risk estimation and shared decision-making in men with a suspicion of prostate cancer: protocol for multicentre randomised controlled trial (multi-IMPROD V.2.0) (2022)

BMJ Open

Ettala Otto, Jambor Ivan, Perez Ileana Montoya, Seppänen Marjo, Kaipia Antti, Seikkula Heikki, Syvänen Kari T, Taimen Pekka, Verho Janne, Steiner Aida, Saunavaara Jani, Saukko Ekaterina, Löyttyniemi Eliisa, Sjoberg Daniel D, Vickers Andrew, Aronen Hannu, Boström Peter

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging–detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score (2022)

European Urology

Peters M., Eldred-Evans D., Kurver P., Falagario U.G., Connor M.J., Shah T.T., Verhoeff J.J.C., Taimen P., Aronen H.J., Knaapila J., Montoya Perez I., Ettala O., Stabile A., Gandaglia G., Fossati N., Martini A., Cucchiara V., Briganti A., Lantz A., Picker W., Haug E.S., Nordström T., Tanaka M.B., Reddy D., Bass E., van Rossum P.S.N., Wong K., Tam H., Winkler M., Gordon S., Qazi H., Boström P.J., Jambor I., Ahmed H.U.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs (2022)

Scientific Reports

Huhtanen Jarno T, Nyman Mikko, Doncenco Dorin, Hamedian Maral, Kawalya Davis, Salminen Leena, Sequeiros Roberto Blanco, Koskinen Seppo K, Pudas Tomi K, Kajander Sami, Niemi Pekka, Hirvonen Jussi, Aronen Hannu J, Jafaritadi Mojtaba

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2021)

Journal of Magnetic Resonance Imaging

Perez Ileana Montoya, Merisaari Harri, Jambor Ivan, Ettala Otto, Taimen Pekka, Knaapila Juha, Kekki Henna, Khan Ferdhos L, Syrjälä Elise, Steiner Aida, Syvänen Kari T, Verho Janne, Seppänen Marjo, Rannikko Antti, Riikonen Jarno, Mirtti Tuomas, Lamminen Tarja, Saunavaara Jani, Falagario Ugo, Martini Alberto, Pahikkala Tapio, Pettersson Kim, Boström Peter J, Aronen Hannu J

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD). (2021)

European Urology Oncology

Falagario UG, Jambor I, Lantz A, Ettala O, Stabile A, Taimen P, Aronen HJ, Knaapila J, Perez IM, Gandaglia G, Fossati N, Martini A, Cucchiara V, Picker W, Haug E, Haines K, Ratnani P, Sujit N, Lewis S, Sanguedolce F, Selvaggio O, Cormio L, Macarini L, Tewari A, Nordström T, Boström PJ, Briganti A, Carrieri G

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Whole Brain Adiabatic T-1rho and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings (2021)

Journal of Magnetic Resonance Imaging

Jambor Ivan, Steiner Aida, Pesola Marko, Liimatainen Timo, Sucksdorff Marcus, Rissanen Eero, Airas Laura, Aronen Hannu J, Merisaari Harri

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps (2021)

European Radiology

Hiremath Amogh, Shiradkar Rakesh, Merisaari Harri, Prasanna Prateek, Ettala Otto, Taimen Pekka, Aronen Hannu J, Boström Peter J, Jambor Ivan, Madabhushi Anant

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Accurate Prostate Cancer Detection and Segmentation Using Non-Local Mask R-CNN With Histopathological Ground Truth (2021)

International Journal of Radiation Oncology - Biology - Physics

Dai Z, Jambor I, Taimen P, Pantelic M, Elshaikh MA, Dabaja A, Rogers C, Ettala O, Bostrom P, Aronen H, Merisaari H, Wen N

(Muu (O2))

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study (2021)

npj Precision Oncology

Leo Patrick, Janowczyk Andrew, Elliott Robin, Janaki Nafiseh, Bera Kaustav, Shiradkar Rakesh, Farré Xavier, Fu Pingfu, El-Fahmawi Ayah, Shahait Mohammed, Kim Jessica, Lee David, Yamoah Kosj, Rebbeck Timothy R., Khani Francesca, Robinson Brian D., Eklund Lauri, Jambor Ivan, Merisaari Harri, Ettala Otto, Taimen Pekka, Aronen Hannu J., Boström Peter J., Tewari Ashutosh, Magi-Galluzzi Cristina, Klein Eric, Purysko Andrei, Shih Natalie NC, Feldman Michael, Gupta Sanjay, Lal Priti, Madabhushi Anant

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Individualised non-contrast MRI-based risk estimation and shared decision-making in men with a suspicion of prostate cancer: protocol for multicentre randomised controlled trial (multi-IMPROD V.2.0) (2022)

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs (2022)

Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2021)

Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD). (2021)

Whole Brain Adiabatic T-1rho and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings (2021)

Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps (2021)

Accurate Prostate Cancer Detection and Segmentation Using Non-Local Mask R-CNN With Histopathological Ground Truth (2021)

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study (2021)