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Zhang Q, Liang X, Zhang Y, Nie H, Chen Z. A review of contrast-enhanced ultrasound using SonoVue® and Sonazoid™ in non-hepatic organs. Eur J Radiol 2023; 167:111060. [PMID: 37657380 DOI: 10.1016/j.ejrad.2023.111060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/03/2023]
Abstract
Contrast-enhanced ultrasound (CEUS) is a dependable modality for the diagnosis of various clinical conditions. A judicious selection of ultrasound contrast agent (UCA) is imperative for optimizing imaging and improving diagnosis. Approved UCAs for imaging the majority of organs include SonoVue, a pure blood agent, and Sonazoid, which exhibits an additional Kupffer phase. Despite the fact that the two UCAs are increasingly being employed, there is a lack of comparative reviews between the two agents in different organs diseases. This review represents the first attempt to compare the two UCAs in non-hepatic organs, primarily including breast, thyroid, pancreas, and spleen diseases. Through comparative analysis, this review provides a comprehensive and objective evaluation of the performance characteristics of SonoVue and Sonazoid, with the aim of offering valuable guidance for the clinical application of CEUS. Overall, further clinical evidences are required to compare and contrast the dissimilarities between the two UCAs in non-hepatic organs, enabling clinicians to make an appropriate selection based on actual clinical applications.
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Affiliation(s)
- Qing Zhang
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China; The Seventh Affiliated Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Xiaowen Liang
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China
| | - Yanfen Zhang
- Department of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Hongjun Nie
- Department of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Zhiyi Chen
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China.
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2
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Valls-Esteve A, Adell-Gómez N, Pasten A, Barber I, Munuera J, Krauel L. Exploring the Potential of Three-Dimensional Imaging, Printing, and Modeling in Pediatric Surgical Oncology: A New Era of Precision Surgery. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10050832. [PMID: 37238380 DOI: 10.3390/children10050832] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/18/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023]
Abstract
Pediatric surgical oncology is a technically challenging field that relies on CT and MRI as the primary imaging tools for surgical planning. However, recent advances in 3D reconstructions, including Cinematic Rendering, Volume Rendering, 3D modeling, Virtual Reality, Augmented Reality, and 3D printing, are increasingly being used to plan complex cases bringing new insights into pediatric tumors to guide therapeutic decisions and prognosis in different pediatric surgical oncology areas and locations including thoracic, brain, urology, and abdominal surgery. Despite this, challenges to their adoption remain, especially in soft tissue-based specialties such as pediatric surgical oncology. This work explores the main innovative imaging reconstruction techniques, 3D modeling technologies (CAD, VR, AR), and 3D printing applications through the analysis of three real cases of the most common and surgically challenging pediatric tumors: abdominal neuroblastoma, thoracic inlet neuroblastoma, and a bilateral Wilms tumor candidate for nephron-sparing surgery. The results demonstrate that these new imaging and modeling techniques offer a promising alternative for planning complex pediatric oncological cases. A comprehensive analysis of the advantages and limitations of each technique has been carried out to assist in choosing the optimal approach.
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Affiliation(s)
- Arnau Valls-Esteve
- Innovation Department, SJD Barcelona Children's Hospital, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
- Medicina i Recerca Translacional, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, 08036 Barcelona, Spain
- 3D for Health Unit (3D4H), SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
| | - Núria Adell-Gómez
- Innovation Department, SJD Barcelona Children's Hospital, Santa Rosa 39-57, 08950 Esplugues de Llobregat, Spain
- 3D for Health Unit (3D4H), SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
| | - Albert Pasten
- Pediatric Surgical Oncology Unit, Department of Pediatric Surgery, SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
| | - Ignasi Barber
- Department of Diagnostic Imaging, SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
| | - Josep Munuera
- Medicina i Recerca Translacional, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, 08036 Barcelona, Spain
- 3D for Health Unit (3D4H), SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
- Department of Diagnostic Imaging, SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
| | - Lucas Krauel
- Medicina i Recerca Translacional, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, 08036 Barcelona, Spain
- 3D for Health Unit (3D4H), SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
- Pediatric Surgical Oncology Unit, Department of Pediatric Surgery, SJD Barcelona Children's Hospital, Universitat de Barcelona, 08950 Esplugues de Llobregat, Spain
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Saleh GA, Elmokadem AH, Razek AA, El-Morsy A, Hamdy O, Eleraky ES, Saleh M. Utility of diffusion tensor imaging in differentiating benign from malignant hepatic focal lesions. Eur Radiol 2023; 33:1400-1411. [PMID: 35982336 DOI: 10.1007/s00330-022-09091-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 08/03/2022] [Accepted: 08/05/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To assess the diagnostic accuracy of diffusion tensor imaging (DTI) in the characterization of hepatic focal lesions (HFLs) and compare it to diffusion-weighted imaging (DWI). METHODS Prospective analysis was done for 49 patients (23 male and 26 female) with 74 HFLs who underwent dynamic MRI, DWI, and DTI. Apparent diffusion coefficient (ADC) values from DWI, fractional anisotropy (FA) values, and mean diffusivity (MD) values from DTI were measured by two independent radiologists. HFLs were classified into benign and malignant HFLs; the latter were subdivided into HCC and non-HCC lesions. Binary logistic regression was performed to analyze the associations between the DTI parameters and the distinction of malignant lesions. RESULTS The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10-3 mm2/s, ≤ 1.71 × 10-3 mm2/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. The mean ADC and MD values of hemangiomas were significantly higher than HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs. The ADC and MD were very good discriminators at cutoff values of > 1.03 × 10-3 mm2/s and > 1.12 × 10-3 mm2/s, respectively. The FA at a cutoff value > 0.38 is an excellent discriminator for HCC versus non-HCC malignant lesions. Only FA value > 0.38 was a statistically significant independent predictor of HCC versus non-HCC lesions among the three parameters. There was an excellent inter-observer agreement with ICC > 0.9. CONCLUSION MD and FA of DTI are non-invasive, very good, and excellent discriminators superior to ADC measured by DWI for the differentiation of HFLs. KEY POINTS • The ADC, MD, and FA at cutoff values of ≤ 1.17 × 10-3 mm2/s, ≤ 1.71 × 10-3 mm2/s, and > 0.29, respectively, are excellent discriminators for differentiating malignant and benign HFLs. • The mean ADC and MD values of hemangiomas were significantly higher than those of HCC and non-HCC malignant lesions. In contrast, the mean FA values of hemangiomas were significantly lower than those of non-HCC malignant lesions and HCCs, respectively. • Multivariate regression analysis revealed that only FA value > 0.38 was a statistically significant independent predictor of HCC vs. non-HCC lesions. A lesion with FA > 0.38 has 34 times higher odds of being HCC rather than non-HCC lesions.
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Affiliation(s)
- Gehad A Saleh
- Department of Radiology, Mansoura University, El Gomhoria St., Mansoura, 35516, Egypt
| | - Ali H Elmokadem
- Department of Radiology, Mansoura University, El Gomhoria St., Mansoura, 35516, Egypt.
| | - Ahmed Abdel Razek
- Department of Radiology, Mansoura University, El Gomhoria St., Mansoura, 35516, Egypt
| | - Ahmed El-Morsy
- Department of Radiology, Mansoura University, El Gomhoria St., Mansoura, 35516, Egypt
| | - Omar Hamdy
- Department of Surgical Oncology, Mansoura University, Mansoura, Egypt
| | | | - Marwa Saleh
- Department of Internal Medicine, Mansoura University, Mansoura, Egypt
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Interindividual Comparison of Frequency-Selective Nonlinear Blending to Conventional CT for Detection of Focal Liver Lesions Using MRI as the Reference Standard. AJR Am J Roentgenol 2022; 218:1021-1029. [PMID: 35018796 DOI: 10.2214/ajr.21.26922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Diagnosing liver lesions is challenging. CT is used for primary diagnosis; however, its contrast resolution is limited. Investigating methods for better detection of liver lesions is important. Objective: To evaluate the effect of frequency-selective nonlinear blending (NLB) on the detectability of liver lesions on CT. Methods: Retrospective search yielded 109 patients with malignant and benign liver lesions (n = 356; 191 principally diagnosed, 165 incidental findings) underwent contrast-enhanced CT (CECT) in portal venous phase and liver MRI between January 2012 and December 2017. Nonlinear blending (NLB) was applied to CECTs, and three readers rated image quality (5-point Likert scale) in blinded, independent, and randomized fashion. Focal lesions (n = 356) were evaluated for lesion identification and categorization to assess sensitivity. For 191 lesions (primary diagnosis) two readers evaluated CECT and NLB CT to compare size and subjective measurement accuracy. A fourth reader conducted ROI measurements for calculation of contrast-to-noise ratio (CNR), and a fifth reader reviewed MRI as standard of reference. Statistics included interobserver agreement, quantitative comparisons of CNR, lesion size, and subjective image analyses of image quality and sensitivity of detecting liver lesions. Results: Three readers rated image quality of NLB CT higher than for CECT (NLB CT, 4 [10% and 90% percentile: 4, 5]; CECT, 2 [1, 3]; p < .001). CECT showed good interreader agreement (interclass coefficient [ICC], 0.81 [95% CI, 0.76¬-0.85]); NLB CT also (ICC, 0.75 [95% CI, 0.69-0.79]). Mean CNR of liver lesions was increased using NLB (CECT, 4.18 [range, 1.67-9.06]; NLB CT, 12.49 [range, 6.18-23.39]; p < .001). Bland-Altman analysis of lesion size showed reduced underestimation from 2.5 mm (SD, 9.2 [95% CI, 1.2-3.9]) in CECT to 0.1 mm (SD, 3.9 [95% CI, -0.68 to 0.46) for NLB CT (concordance correlation coefficient, 0.99). Sensitivity for detecting liver lesions was increased to 86% for NLB CT (CECT, 76%). Conclusion: Frequency-selective NLB of CECT allows increased image quality and CNR, more precise size measurement, and higher sensitivity for detecting liver lesions. Clinical Impact: NLB CT improves liver lesion detection and increases the accuracy of lesion size measurement, which is important when considering local ablation or liver transplant.
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Granata V, Grassi R, Fusco R, Belli A, Cutolo C, Pradella S, Grazzini G, La Porta M, Brunese MC, De Muzio F, Ottaiano A, Avallone A, Izzo F, Petrillo A. Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma. Infect Agent Cancer 2021; 16:53. [PMID: 34281580 PMCID: PMC8287696 DOI: 10.1186/s13027-021-00393-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/06/2021] [Indexed: 02/07/2023] Open
Abstract
This article provides an overview of diagnostic evaluation and ablation treatment assessment in Hepatocellular Carcinoma (HCC). Only studies, in the English language from January 2010 to January 202, evaluating the diagnostic tools and assessment of ablative therapies in HCC patients were included. We found 173 clinical studies that satisfied the inclusion criteria.HCC may be noninvasively diagnosed by imaging findings. Multiphase contrast-enhanced imaging is necessary to assess HCC. Intravenous extracellular contrast agents are used for CT, while the agents used for MRI may be extracellular or hepatobiliary. Both gadoxetate disodium and gadobenate dimeglumine may be used in hepatobiliary phase imaging. For treatment-naive patients undergoing CT, unenhanced imaging is optional; however, it is required in the post treatment setting for CT and all MRI studies. Late arterial phase is strongly preferred over early arterial phase. The choice of modality (CT, US/CEUS or MRI) and MRI contrast agent (extracelllar or hepatobiliary) depends on patient, institutional, and regional factors. MRI allows to link morfological and functional data in the HCC evaluation. Also, Radiomics is an emerging field in the assessment of HCC patients.Postablation imaging is necessary to assess the treatment results, to monitor evolution of the ablated tissue over time, and to evaluate for complications. Post- thermal treatments, imaging should be performed at regularly scheduled intervals to assess treatment response and to evaluate for new lesions and potential complications.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberta Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
- Italian Society of Medical and Interventional Radiology SIRM, SIRM Foundation, Milan, Italy
| | | | - Andrea Belli
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Silvia Pradella
- Radiology Division, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Giulia Grazzini
- Radiology Division, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | | | - Maria Chiara Brunese
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy
| | - Alessandro Ottaiano
- Abdominal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonio Avallone
- Abdominal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Francesco Izzo
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonella Petrillo
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
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Granata V, Fusco R, Setola SV, Avallone A, Palaia R, Grassi R, Izzo F, Petrillo A. Radiological assessment of secondary biliary tree lesions: an update. J Int Med Res 2021; 48:300060519850398. [PMID: 32597280 PMCID: PMC7432986 DOI: 10.1177/0300060519850398] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Objective To conduct a systematic literature review of imaging techniques and findings
in patients with peribiliary liver metastasis. Methods Several electronic datasets were searched from January 1990 to June 2017 to
identify studies assessing the use of different imaging techniques for the
detection and staging of peribiliary metastases. Results The search identified 44 studies, of which six met the inclusion criteria and
were included in the systematic review. Multidetector computed tomography
(MDCT) is the technique of choice in the preoperative setting and during the
follow-up of patients with liver tumors. However, the diagnostic performance
of MDCT for the assessment of biliary tree neoplasms was low compared with
magnetic resonance imaging (MRI). Ultrasound (US), without and with contrast
enhancement (CEUS), is commonly employed as a first-line tool for evaluating
focal liver lesions; however, the sensitivity and specificity of US and CEUS
for both the detection and characterization are related to operator
expertise and patient suitability. MRI has thus become the gold standard
technique because of its ability to provide morphologic and functional data.
MRI showed the best diagnostic performance for the detection of peribiliary
metastases. Conclusions MRI should be considered the gold standard technique for the radiological
assessment of secondary biliary tree lesions.
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Affiliation(s)
- Vincenza Granata
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberta Fusco
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Sergio Venanzio Setola
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonio Avallone
- Abdominal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Raffaele Palaia
- Abdominal Surgical Oncology Division, Hepatobiliary Unit, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberto Grassi
- Radiology Unit, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Francesco Izzo
- Abdominal Surgical Oncology Division, Hepatobiliary Unit, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonella Petrillo
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
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7
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Bai S, Wu Y, Yan Y, Li R, Kang H, Zhang J, Ma W, Gao Y, Hui B, Ma H, Zhang X, Ren J. Evaluation of the Efficacy and Toxicity of Radiotherapy for Type III-IV Portal Vein Tumor Thrombi. Technol Cancer Res Treat 2021; 20:1533033821995286. [PMID: 33590809 PMCID: PMC7894593 DOI: 10.1177/1533033821995286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Background: Type Ⅲ and Ⅳ portal vein tumor thrombi (PVTT) cannot be removed through surgery, and no effective therapeutic procedure is available. Type Ⅲ/Ⅳ PVTT can be downstage to type I/II PVTT by using Radiotherapy, and can further be can be removed surgically. Thus, radiotherapy may be an effective treatment for type Ⅲ/Ⅳ PVTT. This study aims to evaluate the efficacy and toxicity of radiotherapy for type III-IV PVTT. Methods: This prospective study was conducted from August 1, 2017, to September 30, 2019, for patients with type Ⅲ and Ⅳ PVTT. Patients received radiotherapy with a target dose of 50Gy/25f or 59.5Gy/17 f. Advanced radiological technique such as image fusion technique for CT image and MRI image were utilized to produce more precise lesion localization, and limit the dose to organs at risk in order to get a better downstage rate and less adverse complications. Results: Nine (9) patients with type Ⅲ PVTT and 5 patients with type Ⅳ PVTT were included in this study. 12 patients received a radiotherapy dose of 50Gy/25f, 2 patients received 59.50Gy/17 f. After radiotherapy, 92.9% of patients with PVTT were successfully downstage to type II/I. In patients with primary hepatocellular carcinoma, 8 patients (accounting 88.9%) achieved down-stage. 5 patients with other types of tumors achieved downstage which accounts 100%. In addition, none of the 14 patients observed radiation hepatitis and radiation liver failure. And none of the patients developed gastrointestinal ulcers and thrombocytopenia. Conclusion: Radiotherapy is a suitable treatment measure for type Ⅲ and Ⅳ PVTT to get downstage and make the opportunity for surgery. Image fusion technology for precise lesion location such as CT-MRI image fusion, and strict dose limitation of organ at risk, contributed to the improvement of radiotherapy efficiency and the significant decrease in adverse complications.
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Affiliation(s)
- Shuheng Bai
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - YinYing Wu
- Department of Chemotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Yanli Yan
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Rong Li
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Haojing Kang
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Jiangzhou Zhang
- Medical School, Xi'an Jiaotong University Xi'an, Shaanxi Province, China
| | - Wen Ma
- Medical School, Xi'an Jiaotong University Xi'an, Shaanxi Province, China
| | - Ying Gao
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Beina Hui
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Hailin Ma
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Xiaozhi Zhang
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Juan Ren
- Department of Radiotherapy, Oncology Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
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8
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Pelanis E, Kumar RP, Aghayan DL, Palomar R, Fretland ÅA, Brun H, Elle OJ, Edwin B. Use of mixed reality for improved spatial understanding of liver anatomy. MINIM INVASIV THER 2019; 29:154-160. [PMID: 31116053 DOI: 10.1080/13645706.2019.1616558] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, especially for parenchyma-sparing hepatectomies. Though medical images are commonly visualized in two dimensions (2D), surgeons need to mentally reconstruct this information in three dimensions (3D) for a spatial understanding of the anatomy. The aim of this work is to investigate whether the use of a 3D model visualized in mixed reality with Microsoft HoloLens increases the spatial understanding of the liver, compared to the conventional way of using 2D images.Material and methods: In this study, clinicians had to identify liver segments associated to lesions.Results: Twenty-eight clinicians with varying medical experience were recruited for the study. From a total of 150 lesions, 89 were correctly assigned without significant difference between the modalities. The median time for correct identification was 23.5 [4-138] s using the magnetic resonance imaging images and 6.00 [1-35] s using HoloLens (p < 0.001).Conclusions: The use of 3D liver models in mixed reality significantly decreases the time for tasks requiring a spatial understanding of the organ. This may significantly decrease operating time and improve use of resources.
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Affiliation(s)
- Egidijus Pelanis
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Rahul P Kumar
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Davit L Aghayan
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Surgery N1, Yerevan State Medical University after M.Heratsi, Yerevan, Armenia
| | - Rafael Palomar
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Department of Computer Science, NTNU, Gjøvik, Norway
| | - Åsmund A Fretland
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of HPB Surgery, Norway University Hospital - Rikshospitalet, Oslo, Norway
| | - Henrik Brun
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Clinic for Pediatric Cardiology, Norway University Hospital - Rikshospitalet, Oslo, Norway
| | - Ole Jakob Elle
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Department of Informatics, The Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Bjørn Edwin
- The Intervention Centre, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of HPB Surgery, Norway University Hospital - Rikshospitalet, Oslo, Norway
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9
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Pandey A, Pandey P, Ghasabeh MA, Zarghampour M, Khoshpouri P, Ameli S, Luo Y, Kamel IR. Baseline Volumetric Multiparametric MRI: Can It Be Used to Predict Survival in Patients with Unresectable Intrahepatic Cholangiocarcinoma Undergoing Transcatheter Arterial Chemoembolization? Radiology 2018; 289:843-853. [DOI: 10.1148/radiol.2018180450] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Ankur Pandey
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Pallavi Pandey
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Mounes Aliyari Ghasabeh
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Manijeh Zarghampour
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Pegah Khoshpouri
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Sanaz Ameli
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Yan Luo
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Ihab R. Kamel
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
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10
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Pandey A, Pandey P, Aliyari Ghasabeh M, Najmi Varzaneh F, Shao N, Khoshpouri P, Zarghampour M, Fouladi DF, Liddell R, Kamel IR. Unresectable Intrahepatic Cholangiocarcinoma: Multiparametric MR Imaging to Predict Patient Survival. Radiology 2018; 288:109-117. [DOI: 10.1148/radiol.2018171593] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Ankur Pandey
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Pallavi Pandey
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Mounes Aliyari Ghasabeh
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Farnaz Najmi Varzaneh
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Nannan Shao
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Pegah Khoshpouri
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Manijeh Zarghampour
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Daniel Fadaei Fouladi
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Robert Liddell
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
| | - Ihab R. Kamel
- From the Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD 21287
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Zhu WN. Diagnostic value of contrast-enhanced ultrasound versus magnetic resonance imaging in extrahepatic cholangiocarcinoma. Shijie Huaren Xiaohua Zazhi 2018; 26:796-802. [DOI: 10.11569/wcjd.v26.i13.796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM To compare the value of contrast-enhanced ultrasound and magnetic resonance imaging in the diagnosis of extrahepatic cholangiocarcinoma (EHCC).
METHODS Forty-six patients with extrahepatic cholangiocarcinoma (ECHH group) diagnosed at our hospital from January 2015 to December 2017 were enrolled. Forty-six patients with extrahepatic bile duct stones (CBDS group) and 46 patients with pancreatic head carcinomas or duodenum papilla disease (PD group) were also included. All patients underwent B-mode ultrasonography (BUS), CEUS, and MRI. Using the pathological diagnosis as the "gold standard", the receiver operating characteristic (ROC) curves were plotted to compare the diagnostic efficacy (including diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value) of the three examination methods for EHCC.
RESULTS There was no significant difference between CEUS and MRI in the arterial phase (χ2 = 1.105, P = 0.602). CEUS showed low enhancement in 86.96% and 100.00% of patients in the portal phase and delayed phase, respectively, which were significantly higher than those of MRI (13.04% and 13.04%, respectively; χ2 = 50.261, 70.769; P = 0.000, 0.000). The ROC curve analysis showed that the area under the curve (AUC) of MRI and CEUS for the diagnosis of EHCC was higher that of BUS (0.924, 0.897 vs 0.690). The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of BUS for EHCC were significantly lower than those of CEUS (χ2 = 0.175, 0.066, 11.467, 37.260, 6.328; P = 0.000, 0.010, 0.001, 0.000, 0.012) and MRI (χ2 = 0.227, 0.098, 13.378, 41.170, 9.082; P = 0.000, 0.002, 0.000, 0.000, 0.003). There was no significant difference in the diagnostic efficacy of CEUS and MRI for EHCC (χ2 = 0.464, 0.383, 0.000, 0.001, 0.334; P = 0.496, 0.536, 1.000, 0.972, 0.563).
CONCLUSION CEUS has high value in the diagnosis of EHCC and can be used as an important complement to MRI.
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Affiliation(s)
- Wei-Nian Zhu
- Department of Ultrasound, Changxing Traditional Chinese Medicine Hospital, Changxing 313100, Zhejiang Province, China
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A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations. Int J Comput Assist Radiol Surg 2017; 13:165-174. [PMID: 29147954 DOI: 10.1007/s11548-017-1687-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Accepted: 11/06/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE The goal of medical content-based image retrieval (M-CBIR) is to assist radiologists in the decision-making process by retrieving medical cases similar to a given image. One of the key interests of radiologists is lesions and their annotations, since the patient treatment depends on the lesion diagnosis. Therefore, a key feature of M-CBIR systems is the retrieval of scans with the most similar lesion annotations. To be of value, M-CBIR systems should be fully automatic to handle large case databases. METHODS We present a fully automatic end-to-end method for the retrieval of CT scans with similar liver lesion annotations. The input is a database of abdominal CT scans labeled with liver lesions, a query CT scan, and optionally one radiologist-specified lesion annotation of interest. The output is an ordered list of the database CT scans with the most similar liver lesion annotations. The method starts by automatically segmenting the liver in the scan. It then extracts a histogram-based features vector from the segmented region, learns the features' relative importance, and ranks the database scans according to the relative importance measure. The main advantages of our method are that it fully automates the end-to-end querying process, that it uses simple and efficient techniques that are scalable to large datasets, and that it produces quality retrieval results using an unannotated CT scan. RESULTS Our experimental results on 9 CT queries on a dataset of 41 volumetric CT scans from the 2014 Image CLEF Liver Annotation Task yield an average retrieval accuracy (Normalized Discounted Cumulative Gain index) of 0.77 and 0.84 without/with annotation, respectively. CONCLUSIONS Fully automatic end-to-end retrieval of similar cases based on image information alone, rather that on disease diagnosis, may help radiologists to better diagnose liver lesions.
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