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Fukumura Y, Kuroda M, Yoshida S, Nakamura Y, Nakamitsu Y, Al-Hammad WE, Kuroda K, Kamizaki R, Shimizu Y, Tanabe Y, Sugimoto K, Oita M, Sugianto I, Barham M, Tekiki N, Kamaruddin NN, Yanagi Y, Asaumi J. Characteristic Mean Kurtosis Values in Simple Diffusion Kurtosis Imaging of Dentigerous Cysts. Diagnostics (Basel) 2023; 13:3619. [PMID: 38132203 PMCID: PMC10742570 DOI: 10.3390/diagnostics13243619] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
We evaluated the usefulness of simple diffusion kurtosis (SD) imaging, which was developed to generate diffusion kurtosis images simultaneously with an apparent diffusion coefficient (ADC) map for 27 cystic disease lesions in the head and neck region. The mean kurtosis (MK) and ADC values were calculated for the cystic space. The MK values were dentigerous cyst (DC): 0.74, odontogenic keratocyst (OKC): 0.86, ranula (R): 0.13, and mucous cyst (M): 0, and the ADC values were DC: 1364 × 10-6 mm2/s, OKC: 925 × 10-6 mm2/s, R: 2718 × 10-6 mm2/s, and M: 2686 × 10-6 mm2/s. The MK values of DC and OKC were significantly higher than those of R and M, whereas their ADC values were significantly lower. One reason for the characteristic signal values in diffusion-weighted images of DC may be related to content components such as fibrous tissue and exudate cells. When imaging cystic disease in the head and neck region using SD imaging, the maximum b-value setting at the time of imaging should be limited to approximately 1200 s/mm2 for accurate MK value calculation. This study is the first to show that the MK values of DC are characteristically higher than those of other cysts.
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Affiliation(s)
- Yuka Fukumura
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Masahiro Kuroda
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Suzuka Yoshida
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Yoshihide Nakamura
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Yuki Nakamitsu
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Wlla E. Al-Hammad
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
- Department of Oral Medicine and Oral Surgery, Faculty of Dentistry, Jordan University of Science and Technology, Irbid 22110, Jordan
| | - Kazuhiro Kuroda
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
- Department of Health and Welfare Science, Graduate School of Health and Welfare Science, Okayama Prefectural University, Okayama 719-1197, Japan
| | - Ryo Kamizaki
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Yudai Shimizu
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Yoshinori Tanabe
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Kohei Sugimoto
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
- Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University, Okayama 770-8558, Japan
| | - Masataka Oita
- Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University, Okayama 770-8558, Japan
| | - Irfan Sugianto
- Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University, Sulawesi 90245, Indonesia
| | - Majd Barham
- Department of Dentistry and Dental Surgery, College of Medicine and Health Sciences, An-Najah National University, Nablus 44839, Palestine
| | - Nouha Tekiki
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Nurul N. Kamaruddin
- Department of Oral Rehabilitation and Regenerative Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan
- Department of Dental Materials, Faculty of dentistry, Hasanuddin University, Sulawesi 90245, Indonesia
| | - Yoshinobu Yanagi
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
| | - Junichi Asaumi
- Department of Oral and Maxillofacial Radiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8558, Japan; (Y.F.)
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Stabinska J, Wittsack HJ, Lerman LO, Ljimani A, Sigmund EE. Probing Renal Microstructure and Function with Advanced Diffusion MRI: Concepts, Applications, Challenges, and Future Directions. J Magn Reson Imaging 2023:10.1002/jmri.29127. [PMID: 37991093 PMCID: PMC11117411 DOI: 10.1002/jmri.29127] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/23/2023] Open
Abstract
Diffusion measurements in the kidney are affected not only by renal microstructure but also by physiological processes (i.e., glomerular filtration, water reabsorption, and urine formation). Because of the superposition of passive tissue diffusion, blood perfusion, and tubular pre-urine flow, the limitations of the monoexponential apparent diffusion coefficient (ADC) model in assessing pathophysiological changes in renal tissue are becoming apparent and motivate the development of more advanced diffusion-weighted imaging (DWI) variants. These approaches take advantage of the fact that the length scale probed in DWI measurements can be adjusted by experimental parameters, including diffusion-weighting, diffusion gradient directions and diffusion time. This forms the basis by which advanced DWI models can be used to capture not only passive diffusion effects, but also microcirculation, compartmentalization, tissue anisotropy. In this review, we provide a comprehensive overview of the recent advancements in the field of renal DWI. Following a short introduction on renal structure and physiology, we present the key methodological approaches for the acquisition and analysis of renal DWI data, including intravoxel incoherent motion (IVIM), diffusion tensor imaging (DTI), non-Gaussian diffusion, and hybrid IVIM-DTI. We then briefly summarize the applications of these methods in chronic kidney disease and renal allograft dysfunction. Finally, we discuss the challenges and potential avenues for further development of renal DWI. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Julia Stabinska
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Lilach O. Lerman
- Division of Nephrology and Hypertension and Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alexandra Ljimani
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Eric E. Sigmund
- Bernard and Irene Schwartz Center for Biomedical Imaging Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Health, New York City, New York, USA
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Barham M, Kuroda M, Yoshimura Y, Hamada K, Khasawneh A, Sugimoto K, Konishi K, Tekiki N, Sugianto I, Bamgbose BO, Ishizaka H, Shimizu Y, Nakamitsu Y, Al-Hammad WE, Kamizaki R, Kurozumi A, Matsushita T, Ohno S, Asaumi J. Evaluation of calculation processes of apparent diffusion coefficient subtraction method (ASM) imaging. PLoS One 2023; 18:e0282462. [PMID: 36848353 PMCID: PMC9970062 DOI: 10.1371/journal.pone.0282462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 02/16/2023] [Indexed: 03/01/2023] Open
Abstract
A number of restricted diffusion (RD) imaging techniques, such as diffusion kurtosis (DK) imaging and Q space imaging, have been developed and proven to be useful for the diagnosis of diseases, including cerebral gliomas and cerebrovascular infarction. In particular, apparent diffusion coefficient (ADC) subtraction method (ASM) imaging has become available recently as a novel RD imaging technique. ASM is based on the difference between the ADC values in an image pair of two ADC maps, ADC basic (ADCb) and ADC modify (ADCm), which are created from diffusion-weighted images taken using short and long effective diffusion times, respectively. The present study aimed to assess the potential of different types of ASM imaging by comparing them with DK imaging which is the gold-standard RD imaging technique. In the present basic study using both polyethylene glycol phantom and cell-containing bio-phantom, three different types of ASM images were created using different calculation processes. ASM/A is an image calculated by dividing the absolute difference between ADCb and ADCm by ADCb several times. By contrast, ASM/S is an image created by dividing the absolute difference between ADCb and ADCm by the standard deviation of ADCb several times. As for positive ASM/A image (PASM/A), the positive image, which was resultant after subtracting ADCb from ADCm, was divided by ADCb several times. A comparison was made between the types of ASM and DK images. The results showed the same tendency between ASM/A in addition to both ASM/S and PASM/A. By increasing the number of divisions by ADCb from three to five times, ASM/A images transformed from DK-mimicking to more RD-sensitive images compared with DK images. These observations suggest that ASM/A images may prove useful for future clinical applications in RD imaging protocols for the diagnosis of diseases.
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Affiliation(s)
- Majd Barham
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Masahiro Kuroda
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
- * E-mail:
| | - Yuuki Yoshimura
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
- Radiology Diagnosis, Okayama Saiseikai General Hospital, Okayama, Japan
| | - Kentaro Hamada
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Abdullah Khasawneh
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Kohei Sugimoto
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Kohei Konishi
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Nouha Tekiki
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Irfan Sugianto
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Babatunde O. Bamgbose
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hinata Ishizaka
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Yudai Shimizu
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Yuki Nakamitsu
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Wlla E. Al-Hammad
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Ryo Kamizaki
- Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama, Japan
| | - Akira Kurozumi
- Central Division of Radiology, Okayama University Hospital, Okayama, Japan
| | - Toshi Matsushita
- Central Division of Radiology, Okayama University Hospital, Okayama, Japan
| | - Seiichiro Ohno
- Central Division of Radiology, Okayama University Hospital, Okayama, Japan
| | - Junichi Asaumi
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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Baio R, Molisso G, Caruana C, Di Mauro U, Intilla O, Pane U, D’Angelo C, Campitelli A, Pentimalli F, Sanseverino R. "To Be or Not to Be Benign" at Partial Nephrectomy for Presumed RCC Renal Masses: Single-Center Experience with 195 Consecutive Patients. Diseases 2023; 11:diseases11010027. [PMID: 36810541 PMCID: PMC9945135 DOI: 10.3390/diseases11010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/21/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023] Open
Abstract
In daily medical practice, an increasing number of kidney masses are being incidentally detected using common imaging techniques, owing to the improved diagnostic accuracy and increasingly frequent use of these techniques. As a consequence, the rate of detection of smaller lesions is increasing considerably. According to certain studies, following surgical treatment, up to 27% of small enhancing renal masses are identified as benign tumors at the final pathological examination. This high rate of benign tumors challenges the appropriateness of surgery for all suspicious lesions, given the morbidity associated with such an intervention. The objective of the present study was, therefore, to determine the incidence of benign tumors at partial nephrectomy (PN) for a solitary renal mass. To meet this end, a total of 195 patients who each underwent one PN for a solitary renal lesion with the intent to cure RCC were included in the final retrospective analysis. A benign neoplasm was identified in 30 of these patients. The age of the patients ranged from 29.9-79 years (average: 60.9 years). The tumor size range was 1.5-7 cm (average: 3 cm). All the operations were successful using the laparoscopic approach. The pathological results were renal oncocytoma in 26 cases, angiomyolipomas in two cases, and cysts in the remaining two cases. In conclusion, we have shown in our present series the incidence rate of benign tumors in patients who have been subjected to laparoscopic PN due to a suspected solitary renal mass. Based on these results, we advise that the patient should be counseled not only about the intra- and post-operative risks of nephron-sparing surgery but also about its dual therapeutic and diagnostic role. Therefore, the patients should be informed of the considerably high probability of a benign histological result.
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Affiliation(s)
- Raffaele Baio
- Department of Medicine and Surgery “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy
- Correspondence:
| | - Giovanni Molisso
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | | | - Umberto Di Mauro
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Olivier Intilla
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Umberto Pane
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Costantino D’Angelo
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Antonio Campitelli
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
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Monoexponential, biexponential, stretched-exponential and kurtosis models of diffusion-weighted imaging in kidney assessment: comparison between patients with primary aldosteronism and healthy controls. ABDOMINAL RADIOLOGY (NEW YORK) 2023; 48:1340-1349. [PMID: 36745206 DOI: 10.1007/s00261-023-03833-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 02/07/2023]
Abstract
PURPOSE This study used various diffusion-weighted imaging (DWI) models (including monoexponential, biexponential, stretched-exponential and kurtosis models) in renal magnetic resonance imaging (MRI) to compare whether there were differences in each diffusion parameter between patients with primary aldosteronism (PA) and healthy volunteers. MATERIALS AND METHODS Twenty-two (female:male, 14:8; age, 48 ± 10 years) patients with PA and 22 age- and sex-matched healthy controls (HCs) underwent MRI examinations of the kidneys. The independent-sample t test or the Mann‒Whitney U test was used to detect differences in the diffusion metrics of the kidneys between the two groups. Univariable and multivariable linear regression were applied to analyze the correlations between diffusion parameters and the clinical indicators. RESULTS The mean diffusivity (MD, p < 0.001) and radial diffusivity (Dr, p < 0.001) values in the medulla were lower in the PA group than in the HC group. The medullary fractional anisotropy (FA, p < 0.001) was higher than that of HCs. The FA (p < 0.001) and axial diffusivity (Da, p < 0.001) values in the cortex were lower in the PA group. The cortical α (anomalous exponent term, p = 0.016) was higher in the PA patients than in the HCs. Linear regression analysis showed that log(plasma aldosterone concentration) and the estimated glomerular filtration rate (eGFR) were correlated with medullary FA. CONCLUSION The stretched-exponential model (cortical α) and the kurtosis model (FA, MD and Dr in the medulla and FA and Da in the cortex) showed significant differences between PA patients and healthy volunteers and may have potential for noninvasive renal assessment in PA patients.
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Yüksel Ö, Gümrükçü G, Tokuç E, Bilen O, Verim L. Characteristics of renal oncocytomas and clinical novelties: Single center experience of 17 years. Urologia 2022:3915603221139574. [DOI: 10.1177/03915603221139574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Objective: To assess the characteristics of renal oncocytomas and the clinical outcomes of patients in the last 17 years in our institution. Methodology: The medical records of the patients who underwent partial and radical nephrectomy from May 2004 to December 2021 were evaluated retrospectively. Radiology and pathology results were evaluated. Patients diagnosed with oncocytoma after surgery were included in the study. Results: Out of 791 patients who were operated for renal masses, 55 patients with the diagnosis of oncocytoma were included in the study, 17 of them were female. The mean age of the patients was 64.77 ± 10.58 years. Open and laparoscopic methods were applied to patients. Partial nephrectomy was performed in 25 patients (46.2%). It was observed that none of the patients with a mean follow-up of 76 months developed recurrence or death due to oncocytoma. Conclusion: Oncocytoma is a benign and rare tumor of the kidney which distinguishing it from malign tumors preoperatively with recent techniques is impossible. Especially in small sized tumors, considering the possibility of oncocytoma, nephron sparing surgery should be preferred in terms of patients’ benefit. Further research is needed for the novel imaging techniques and biomarkers proposed to be used in routine use to distinguish oncocytoma.
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Affiliation(s)
- Ömer Yüksel
- Haydarpaşa Numune Training and Research Hospital, Istanbul, Turkey
| | | | - Emre Tokuç
- Haydarpaşa Numune Training and Research Hospital, Istanbul, Turkey
| | - Osman Bilen
- Van Training and Research Hospital, Van, Turkey
| | - Levent Verim
- Haydarpaşa Numune Training and Research Hospital, Istanbul, Turkey
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Yan Z, Chen L, Shen W, Dong L, Wang C, Guan Y, Zheng M, Li Y, Zhang C, Grimm R. Preliminary study on intravoxel incoherent motion imaging and diffusion kurtosis imaging based on magnetic resonance imaging of normal kidneys in children. Transl Pediatr 2022; 11:1928-1938. [PMID: 36643671 PMCID: PMC9834948 DOI: 10.21037/tp-22-558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Renal disease in children may lead to a continuous decline of renal function. Multimodal functional magnetic resonance imaging (fMRI) technology can provide quantitative evaluation of renal function information. We investigated the feasibility of intravoxel incoherent motion imaging (IVIM) and diffusion kurtosis imaging (DKI) based on 3.0T MRI for the assessment of normal renal function in children and then analyzed the changes in functional parameters during development. METHODS A total of 132 children with normal function of both kidneys were grouped according to age: ≤1 year old, 1-≤2 years old, 2-≤3 years old, 3-≤10 years old, and 10-≤14 years old. All subjects received renal IVIM examinations to obtain the measured values of true diffusion coefficient (D), pseudo diffusion coefficient (Dp), perfusion fraction (f), and DKI examinations to obtain the mean diffusivity (MD) and mean kurtosis (MK) parameters of both kidneys. The differences of IVIM and DKI function indexes between the upper, middle and lower poles of the normal ipsilateral kidney, between the left and right kidneys, and between the renal cortex and medulla were compared. The correlations between the above parameters and age were analyzed. RESULTS There was no significant difference in the IVIM and DKI parameters between the upper, middle and lower poles in the ipsilateral kidney. There was no significant difference between bilateral kidneys. The D, MD, and MK values of the renal cortex and medulla at the same age were statistically different. The D and MD values of the renal cortex were higher than those of the medulla; the MK value of the renal medulla was higher than that of the cortex. The Dp and f values of the renal cortex and medulla were not statistically different. Except for Dp, all functional parameters of the remaining renal cortex and medulla were related to age. CONCLUSIONS IVIM and DKI functional imaging of children's normal kidneys can reflect the physiological characteristics and differences in the renal cortex and medulla, and their functional parameters have particular regularity with growth and development, suggesting that this technique has potential application value in children's kidney diseases.
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Affiliation(s)
- Zhe Yan
- Department of Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China.,Department of Radiology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Lihua Chen
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Wen Shen
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Lu Dong
- Department of Radiology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Chunxiang Wang
- Department of Radiology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Yong Guan
- Department of Urology Surgery, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Meimin Zheng
- Department of Radiology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Ying Li
- Department of Radiology, Tianjin Children's Hospital (Tianjin University Children's Hospital), Tianjin, China
| | - Chen Zhang
- MR Scientific Marketing, Siemens Healthineers, Beijing, China
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Zhu J, Li N, Zhao P, Wang Y, Song Q, Song L, Li Q, Luo Y. Contrast-enhanced ultrasound (CEUS) of benign and malignant renal tumors: Distinguishing CEUS features differ with tumor size. Cancer Med 2022; 12:2551-2559. [PMID: 36057970 PMCID: PMC9939203 DOI: 10.1002/cam4.5101] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/03/2022] [Accepted: 07/07/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Contrast-enhanced ultrasound (CEUS) is now a guideline-recommended strategy for diagnosing renal lesions. Tumor size is related to the risk of the treatment and prognosis in renal tumors. Thus, we aim to analyze the CEUS features of solid renal tumors in relation to tumor size. METHODS The CEUS appearance of 156 pathologically diagnosed solid renal tumors were retrospectively analyzed. Three groups were stratified according to the tumor size (≤2 cm [group I], 2.1-4 cm [group II] and 4.1-7 cm [group III]). For each group, the features of wash-in type, enhancement degree, enhancement homogeneity, and the presence of a pseudocapsule sign were compared between benign and malignant tumors. RESULTS All 156 included lesions were detected by CEUS. The proportion of benign tumors in three size groups was 37.1%, 19.4%, and 20.4%, respectively. The proportion of malignant tumors was highest (80.6%) in group II, followed by group III (79.6%) and group I (62.9%). In group I, malignant and benign tumors differed significantly in the presence of a pseudocapsule sign (p = 0.015) and homogeneity (p = 0.007). In group II, the degree of enhancement differed (p = 0.02) between tumor types. In group III, the two tumor types differed in both the wash-in pattern (p = 0.015) and enhancement degree (p = 0.024). The weighted and Cohen's kappa values for the concordance between inter-observer agreement ranged from 0.31 (95% CI: 0.36-0.57) to 0.90 (95% CI: 0.77-1.00). CONCLUSIONS CEUS features of malignant and benign renal tumors change along with the tumor size. The use of CEUS features in the diagnosis of benign and malignant tumors requires consideration of tumor size.
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Affiliation(s)
- Jianing Zhu
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina,Medical School of Chinese PLABeijingChina
| | - Nan Li
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina
| | - Ping Zhao
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina
| | - Yanjie Wang
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina,Medical School of Chinese PLABeijingChina
| | - Qing Song
- Department of Ultrasound, the Seventh Medical CentreChinese PLA General HospitalBeijingChina
| | - Luda Song
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina,Medical School of Chinese PLABeijingChina
| | - Qiuyang Li
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina
| | - Yukun Luo
- Department of Ultrasound, the First Medical CentreChinese PLA General HospitalBeijingChina
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Jian L, Liu Y, Xie Y, Jiang S, Ye M, Lin H. MRI-Based Radiomics and Urine Creatinine for the Differentiation of Renal Angiomyolipoma With Minimal Fat From Renal Cell Carcinoma: A Preliminary Study. Front Oncol 2022; 12:876664. [PMID: 35719934 PMCID: PMC9204342 DOI: 10.3389/fonc.2022.876664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022] Open
Abstract
Objectives Standard magnetic resonance imaging (MRI) techniques are different to distinguish minimal fat angiomyolipoma (mf-AML) with minimal fat from renal cell carcinoma (RCC). Here we aimed to evaluate the diagnostic performance of MRI-based radiomics in the differentiation of fat-poor AMLs from other renal neoplasms. Methods A total of 69 patients with solid renal tumors without macroscopic fat and with a pathologic diagnosis of RCC (n=50) or mf-AML (n=19) who underwent conventional MRI and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) were included. Clinical data including age, sex, tumor location, urine creatinine, and urea nitrogen were collected from medical records. The apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were measured from renal tumors. We used the ITK-SNAP software to manually delineate the regions of interest on T2-weighted imaging (T2WI) and IVIM-DWI from the largest cross-sectional area of the tumor. We extracted 396 radiomics features by the Analysis Kit software for each MR sequence. The hand-crafted features were selected by using the Pearson correlation analysis and least absolute shrinkage and selection operator (LASSO). Diagnostic models were built by logistic regression analysis. Receiver operating characteristic curve analysis was performed using five-fold cross-validation and the mean area under the curve (AUC) values were calculated and compared between the models to obtain the optimal model for the differentiation of mf-AML and RCC. Decision curve analysis (DCA) was used to evaluate the clinical utility of the models. Results Clinical model based on urine creatinine achieved an AUC of 0.802 (95%CI: 0.761-0.843). IVIM-based model based on f value achieved an AUC of 0.692 (95%CI: 0.627-0.757). T2WI-radiomics model achieved an AUC of 0.883 (95%CI: 0.852-0.914). IVIM-radiomics model achieved an AUC of 0.874 (95%CI: 0.841-0.907). Combined radiomics model achieved an AUC of 0.919 (95%CI: 0.894-0.944). Clinical-radiomics model yielded the best performance, with an AUC of 0.931 (95%CI: 0.907-0.955). The calibration curve and DCA confirmed that the clinical-radiomics model had a good consistency and clinical usefulness. Conclusion The clinical-radiomics model may be served as a noninvasive diagnostic tool to differentiate mf-AML with RCC, which might facilitate the clinical decision-making process.
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Affiliation(s)
- Lian Jian
- Department of Radiology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yan Liu
- Department of Radiology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yu Xie
- Department of Urological Surgery, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Shusuan Jiang
- Department of Urological Surgery, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Mingji Ye
- Department of Urological Surgery, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Huashan Lin
- Department of Pharmaceuticals Diagnosis, General Electric (GE) Healthcare, Changsha, China
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Granata V, Fusco R, Belli A, Danti G, Bicci E, Cutolo C, Petrillo A, Izzo F. Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when. Infect Agent Cancer 2022; 17:25. [PMID: 35681237 PMCID: PMC9185934 DOI: 10.1186/s13027-022-00441-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 05/30/2022] [Indexed: 12/13/2022] Open
Abstract
This article provides an overview of diffusion kurtosis (DKI) imaging in abdominal oncology. DKI allows for more data on tissue structures than the conventional diffusion model (DWI). However, DKI requires high quality images at b-values greater than 1000 s/mm2 and high signal-to-noise ratio (SNR) that traditionally MRI systems are not able to acquire and therefore there are generally amplified anatomical distortions on the images due to less homogeneity of the field. Advances in both hardware and software on modern MRI scanners have currently enabled ultra-high b-value imaging and offered the ability to apply DKI to multiple extracranial sites. Previous studies have evaluated the ability of DKI to characterize and discriminate tumor grade compared to conventional DWI. Additionally, in several studies the DKI sequences used were based on planar echo (EPI) acquisition, which is susceptible to motion, metal and air artefacts and prone to low SNRs and distortions, leading to low quality images for some small lesions, which may affect the accuracy of the results. Another problem is the optimal b-value of DKI, which remains to be explored and not yet standardized, as well as the manual selection of the ROI, which could affect the accuracy of some parameters.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", I-80131, Naples, Italy.
| | | | - Andrea Belli
- Division of Hepatobiliary Surgical Oncology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", I-80131, Naples, Italy
| | - Ginevra Danti
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.,Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy
| | - Eleonora Bicci
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Antonella Petrillo
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", I-80131, Naples, Italy
| | - Francesco Izzo
- Division of Hepatobiliary Surgical Oncology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", I-80131, Naples, Italy
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11
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Zhu Q, Xu Q, Dou W, Zhu W, Wu J, Chen W, Ye J. Diffusion kurtosis imaging features of renal cell carcinoma: a preliminary study. Br J Radiol 2021; 94:20201374. [PMID: 33989037 DOI: 10.1259/bjr.20201374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To explore the feasibility of diffusion kurtosis imaging (DKI) in differentiating different types of renal cell carcinoma (RCC). METHODS 36 patients with clear cell RCC (CCRCC, low-grade,n = 20 and high-grade, n = 16), 19 with papillary RCC, 11 with chromophobe RCC, and 9 with collecting duct carcinoma (CDC) were examined with DKI technique. b values of 0, 500 and 1000 s/mm2 were adopted. The DKI parameters, i.e., mean diffusivity (MD), mean kurtosis (MK), kurtosis anisotropy (KA), radial kurtosis (RK) and signa-to-noise ration (SNR) of DKI images at different b values were used. RESULTS The mean SNRs of DKI images at b = 0, 500 and 1000 s/mm2 were 32.8, 14.2 and 9.18, respectively. For MD parameter, a significant higher value was shown in CCRCC than those of papillary RCC, chromophobe RCC and CDC (p < 0.05). In addition, both chromophobe RCC and CDC have larger MD values than papillary RCC (p < 0.05), however, there was no significant differences between chromophobe RCC and CDC (p > 0.05). For MK, KA and RK parameters, a significant higher value was shown in papillary RCC than those of CCRCC, chromophobe RCC and CDC (p < 0.05). Moreover, both chromophobe RCC and CDC have significantly larger values of MK, KA and RK than CCRCC (p < 0.05). CONCLUSION Our preliminary study demonstrated significant differences in the DKI parameters between the subtypes of RCCs, given an adequate SNR of DKI images. ADVANCES IN KNOWLEDGE 1.The MD value is the best parameter to distinguish CCRCC from other RCCs.2.The MK, KA and RK values are the best parameters to distinguish papillary RCC from other RCCs.3.DKI is able to provide images with sufficient SNRs in kidney disease.
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Affiliation(s)
- Qingqiang Zhu
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
| | - Qing Xu
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
| | - Weiqiang Dou
- MR Research China, GE Healthcare, Beijing 100176, China., Beijing, China
| | - Wenrong Zhu
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
| | - Jingtao Wu
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
| | - Wenxin Chen
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
| | - Jing Ye
- Department of Medical Imaging, Subei People's Hospital, Medical School of Yangzhou University, Yangzhou, China
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