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Hu X, Wang Y, Li J, Qing P, Yang X, Zeng J, Min L, Tu C. Three-Dimensional Multimodality Image Reconstruction as Teaching Tool for Case-based learning among medical postgraduates: a focus on primary pelvic bone Tumour Education. BMC MEDICAL EDUCATION 2023; 23:944. [PMID: 38087270 PMCID: PMC10717389 DOI: 10.1186/s12909-023-04916-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Postgraduate medical education in oncology orthopedics confronts obstacles when instructing on pelvic tumors, primarily due to their intricate anatomy and the limitations of conventional teaching techniques. The employment of Three-dimensional multimodality imaging (3DMMI) can be considered a valuable teaching tool, as it gracefully elucidates the intricacies of pelvic anatomical structures and the interactions between tumors and surrounding tissues through three-dimensional imaging, thereby providing a comprehensive and nuanced perspective. This study aimed to assess the feasibility and effectiveness of incorporating 3DMMI in combination with a Case-Based Learning (CBL) approach for postgraduate education. METHODS The study encompassed a 10-week course involving 90 surgical postgraduates, focusing on common pelvic tumor diseases. Students were assigned representative clinical cases, and each group created a PowerPoint presentation based on these cases. The core educational content included fundamental knowledge of pelvic anatomy, as well as clinical presentations, radiological features, and treatment principles of common pelvic tumor diseases. The research compared two groups: a traditional CBL group (n = 45) and a 3DMMI-CBL group (n = 45). The 3DMMI-CBL group had access to advanced imaging technology for better visualization. Various evaluations, including image interpretation, theoretical knowledge, and questionnaires, were used to assess the learning outcomes. RESULTS The 3DMMI-CBL group outperformed the CBL group not only in the imaging diagnosis of common pelvic diseases but also in their mastery of the related theoretical knowledge. Student questionnaires indicated higher scores for the 3DMMI-CBL group in basic pelvic anatomy knowledge (8.08 vs. 6.62, p < 0.01), image interpretation (8.15 vs. 6.69, p < 0.01), learning efficiency (8.07 vs. 7.00, p < 0.01), clinical reasoning (7.57 vs. 6.77, p < 0.01), and learning interest (8.46 vs. 7.00, p < 0.01). Teacher questionnaires revealed that 3DMMI technology enhanced teachers' clinical knowledge, facilitated instruction, and increased overall satisfaction and interest in teaching. CONCLUSION Our study introduced an enhancement to the conventional Case-Based Learning (CBL) model by incorporating 3DMMI technology for visualizing pelvic anatomy. In contrast to pure CBL, this adaptation improved teacher instruction, substantially heightened student engagement, ignited greater interest in learning, and boosted overall efficiency, ultimately leading to positive learning outcomes. Consequently, our study demonstrated the potential feasibility and acceptability of the 3DMMI-CBL teaching method for postgraduates in pelvic bone tumor education.
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Affiliation(s)
- Xin Hu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yitian Wang
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jian Li
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Ping Qing
- Department of Medical Education, West China Medical Center, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Xiao Yang
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, Sichuan, 610064, China.
- Provincial Engineering Research Center for Biomaterials Genome of Sichuan, Sichuan University, Chengdu, Sichuan, 610064, China.
| | - Jing Zeng
- Educational Department of Internal Medicine, West China School of Medicine, Sichuan University, Chengdu, Sichuan, 610041, China.
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
| | - Li Min
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
| | - Chongqi Tu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
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Garcia J, Compte A, Galan C, Cozar M, Buxeda M, Mourelo S, Piñeiro T, Soler M, Valls E, Bassa P, Santabarbara J. 18F-choline PET/MR in the initial staging of prostate cancer. Impact on the therapeutic approach. Rev Esp Med Nucl Imagen Mol 2021. [DOI: 10.1016/j.remnie.2020.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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18F-choline PET/MRI on initial staging of prostate cancer. Impact on therapy approach. Rev Esp Med Nucl Imagen Mol 2021; 40:72-81. [PMID: 33579662 DOI: 10.1016/j.remn.2020.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/25/2020] [Accepted: 10/12/2020] [Indexed: 11/20/2022]
Abstract
AIM Evaluate the therapy impact of initial staging in patients diagnosed with prostate cancer by 18 F-choline PET/MRI hybrid technique. MATERIAL A prospective study which included 31 patients diagnosed with prostate cancer; Gleason > 7; mean PSA 13.6 ng/mL (range 6.3-20.6). PET/MRI studies were acquired simultaneously with hybrid equipment (SIGNA.3T, GE) following intravenous injection of 185 ± 18.5MBq of 18F-choline: - Early/prostate imaging: PET emission + multiparametric MR: DIXON-T1-T2-diffusion-gadolinium. - Late/whole-body imaging: PET emission + MR: DIXON-T1-T2-diffusion-STIR sequences. Images were visually evaluated. SUV & ADC & textures were also calculated. Treatment selection was based upon Oncology Committee consensus decision. RESULTS Procedure was well tolerated in all patients, and no artifacts were reported. MRI was superior in T staging in eight patients (25.8%) (Likert: 2-3), whereas PET increased MRI sensitivity in three patients (9.7%) (PIRADS: 3). PROSTATE LESION LOCATION Peripheral 91.4%, transitional 8.6%. SUVmax threshold: 2.95: sensitivity 92.9%, specificity 66.7%. No correlation SUV vs. ADC. Better distinction between stage T2 vs. T3 using the DiscrLin model with NG = 16 (AUC 0.7767 ± 0.3386). PET was superior to T2 in textures analysis (0.588 vs. 0.412). Seventeen patients (54.8%) were staged ≥ T3, with surgical treatment being contraindicated. Fifteen patients (48.4%) presented with extra-prostatic disease: 8/31 oligometastatic and 7/31 multiple metastasis. Therapy approach following PET/MRI was: radical treatment in 24/31 patients (77.4%), 14 radical prostatectomy and 10 MRI-guided radiotherapy; systemic treatment in 7/31 patients (22.6%). CONCLUSION 18F-choline PET/MRI had a complementary role for the T staging, with a high detection rate for NM infiltration. PET/MRI findings allowed patients to be directed either to prostatectomy or MRI-guided radiotherapy, and thus avoiding radicaltreatment in 22.6% of patients.
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Russo U, Maestroni U, Papapietro RV, Trunfio V, Ziglioli F, Ferretti S, Brunese L, Carrafiello G, De Filippo M. Imaging after radiofrequency ablation of renal tumors. Future Oncol 2018; 14:2915-2922. [DOI: 10.2217/fon-2017-0661] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The number of percutaneous radiofrequency ablation procedures performed for renal tumors is progressively increasing worldwide. Periodic imaging follow-up has the double role to guarantee the treatment efficacy over time and to early detect any possible complication. Tumor size reductions, as well as the appearance of the characteristic ‘halo sign’, are normal findings that represent good ablative outcomes. However the most reliable factor of ablation efficacy remains the total absence of contrast enhancing zones within the ablated area. The aim of this article is to illustrate the typical aspect of an effective radiofrequency ablation treatment, which are the imaging findings that may suggest the presence of residual tumoral tissue and which are the main early and late procedural complications.
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Affiliation(s)
- Umberto Russo
- Department of Medicine & Surgery, Unit of Radiologic Science, University of Parma, Maggiore Hospital, Via Gramsci 14, Parma, Italy
| | | | - Roberto Vito Papapietro
- Department of Medicine & Surgery, Unit of Radiologic Science, University of Parma, Maggiore Hospital, Via Gramsci 14, Parma, Italy
| | - Vincenzo Trunfio
- Department of Medicine & Surgery, Unit of Radiologic Science, University of Parma, Maggiore Hospital, Via Gramsci 14, Parma, Italy
| | | | | | - Luca Brunese
- Department of Medicine & Health Sciences, University of Molise, Campobasso, Italy
| | | | - Massimo De Filippo
- Department of Medicine & Surgery, Unit of Radiologic Science, University of Parma, Maggiore Hospital, Via Gramsci 14, Parma, Italy
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Automatic Radiographic Position Recognition from Image Frequency and Intensity. JOURNAL OF HEALTHCARE ENGINEERING 2017; 2017:2727686. [PMID: 29104743 PMCID: PMC5623794 DOI: 10.1155/2017/2727686] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 07/17/2017] [Indexed: 12/17/2022]
Abstract
Purpose With the development of digital X-ray imaging and processing methods, the categorization and analysis of massive digital radiographic images need to be automatically finished. What is crucial in this processing is the automatic retrieval and recognition of radiographic position. To address these concerns, we developed an automatic method to identify a patient's position and body region using only frequency curve classification and gray matching. Methods Our new method is combined with frequency analysis and gray image matching. The radiographic position was determined from frequency similarity and amplitude classification. The body region recognition was performed by image matching in the whole-body phantom image with prior knowledge of templates. The whole-body phantom image was stitched by radiological images of different parts. Results The proposed method can automatically retrieve and recognize the radiographic position and body region using frequency and intensity information. It replaces 2D image retrieval with 1D frequency curve classification, with higher speed and accuracy up to 93.78%. Conclusion The proposed method is able to outperform the digital X-ray image's position recognition with a limited time cost and a simple algorithm. The frequency information of radiography can make image classification quicker and more accurate.
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Mauri G, Nicosia L, Varano GM, Shyn P, Sartori S, Tombesi P, Di Vece F, Orsi F, Solbiati L. Unusual tumour ablations: report of difficult and interesting cases. Ecancermedicalscience 2017; 11:733. [PMID: 28487751 PMCID: PMC5406223 DOI: 10.3332/ecancer.2017.733] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Indexed: 01/02/2023] Open
Abstract
Image-guided ablations are nowadays applied in the treatment of a wide group of diseases and in different organs and regions, and every day interventional radiologists have to face more difficult and unusual cases of tumour ablation. In the present case review, we report four difficult and unusual cases, reporting some tips and tricks for a successful image-guided treatment.
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Affiliation(s)
- Giovanni Mauri
- Division of Interventional Radiology, European Institute of Oncology, Milan, Italy
| | - Luca Nicosia
- Postgraduate School of Radiology, University of Milan, Italy
| | | | - Paul Shyn
- Abdominal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sergio Sartori
- Section of Interventional Ultrasound, Department of Internal Medicine, St Anna Hospital Ferrara, Italy
| | - Paola Tombesi
- Section of Interventional Ultrasound, Department of Internal Medicine, St Anna Hospital Ferrara, Italy
| | - Francesca Di Vece
- Section of Interventional Ultrasound, Department of Internal Medicine, St Anna Hospital Ferrara, Italy
| | - Franco Orsi
- Division of Interventional Radiology, European Institute of Oncology, Milan, Italy
| | - Luigi Solbiati
- Department of Radiology, Humanitas University and Research Hospital, Rozzano (Milan), Italy
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Mainini AP, Monaco C, Pescatori LC, De Angelis C, Sardanelli F, Sconfienza LM, Mauri G. Image-guided thermal ablation of benign thyroid nodules. J Ultrasound 2016; 20:11-22. [PMID: 28298940 DOI: 10.1007/s40477-016-0221-6] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 08/22/2016] [Indexed: 12/22/2022] Open
Abstract
Benign thyroid nodules are a common disease in the general population. Most often, they are completely asymptomatic and discovered occasionally during routine ultrasound examinations, and do not require any treatment. When thyroid nodules become symptomatic, surgical excision is still considered standard treatment. In the last few years, several experiences in the treatment of benign thyroid nodules through image-guided percutaneous thermal ablation have been reported with encouraging results, so that currently, these treatments are often proposed as first-choice options for patients with symptomatic benign thyroid nodules. In this paper, we discuss the present literature on the topic, focusing on different techniques available for image-guided percutaneous ablation, particularly radiofrequency (RFA), laser (LA), microwave (MWA), and high-intensity-focus ultrasound (HIFU). Little evidence about the efficacy of MWA and HIFU is now available. According to the literature, good results have been obtained with RFA and LA. Regarding RFA, volume reduction after ablative treatment has been found to range from 47 to 84 % at 3-6 months, and from 62 to 93 % at 1 year; LA also seems to be effective in achieving shrinkage of thyroid nodules, with volume reduction from 37 to 81 % at 3-6 months, and from 13 to 82 % at 1-year follow-up. Moreover, applications of advanced image-guidance modality, such as contrast-enhanced ultrasound and virtual navigation with fusion imaging, are discussed.
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Affiliation(s)
- Anna Pisani Mainini
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Cristian Monaco
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Lorenzo Carlo Pescatori
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Chiara De Angelis
- Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy
| | - Francesco Sardanelli
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Pascal 36, 20100 Milan, Italy.,Unità di Radiologia, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097 Milan, Italy
| | - Luca Maria Sconfienza
- Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Pascal 36, 20100 Milan, Italy.,Radiologia/Diagnostica per immagini con servizio di radiologia Interventistica, IRCCS Istituto Ortopedico Galeazzi, via Riccardo Galeazzi 4, 20161 Milan, Italy
| | - Giovanni Mauri
- Dipartimento di Radiologia Interventistica, Istituto Europeo di Oncologia, Via Ripamonti 435, 20100 Milan, Italy
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Paparo F, Massollo M, Rollandi L, Piccardo A, Ruggieri FG, Rollandi GA. The clinical role of multimodality imaging in the detection of prostate cancer recurrence after radical prostatectomy and radiation therapy: past, present, and future. Ecancermedicalscience 2015; 9:570. [PMID: 26435743 PMCID: PMC4583244 DOI: 10.3332/ecancer.2015.570] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Indexed: 12/18/2022] Open
Abstract
Detection of the recurrence sites in prostate cancer (PCa) patients affected by biochemical recurrence after radical prostatectomy (RP) and radiation therapy (RT) is still a challenge for clinicians, nuclear medicine physicians, and radiologists. In the era of personalised and precision care, this task requires the integration, amalgamation, and combined analysis of clinical and imaging data from multiple sources. At present, multiparametric Magnetic Resonance Imaging (mpMRI) and choline–positron emission tomography (PET) are giving encouraging results; their combination allows the effective detection of local, lymph nodal, and skeletal recurrences at low PSA levels. Future diagnostic perspectives include the clinical implementation of PET/MRI scanners, multimodal fusion imaging platforms for retrospective co-registration of PET and MR images, real-time transrectal ultrasound/mpMRI fusion imaging, and novel organ-specific PET radiotracers.
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Affiliation(s)
- Francesco Paparo
- Radiology Unit, Department of Diagnostic Imaging, E O Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
| | - Michela Massollo
- Nuclear Medicine Unit, Department of Diagnostic Imaging, E O Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
| | - Ludovica Rollandi
- Klinikum Augsburg Radiologie, Stelingstrasse 2, 86156 Augsburg, Germany
| | - Arnoldo Piccardo
- Nuclear Medicine Unit, Department of Diagnostic Imaging, E O Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
| | - Filippo Grillo Ruggieri
- Radiotherapy Unit, Department of Diagnostic Imaging, E O Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
| | - Gian Andrea Rollandi
- Radiology Unit, Department of Diagnostic Imaging, E O Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
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