Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
RAJIV GANDHI UNIVERSITY OF HEALTH SCIENCES, BANGALORE KARNATAKA ANNEXURE II PROFORMA FOR REGISTRATION OF SUBJECT FOR DISSERTATION 1. Name of the Candidate and Address (in block letters) Dr. NIJALINGAPPA S/o CHIDANANDAPPA # 5-5-272, SWAMI VIVEKANANDA NAGAR, YADGIR. KARNATAKA - 585202. 2. Name of the Institution J.J.M. MEDICAL COLLEGE, DAVANGERE – 577 004. 3. Course of study and subject POSTGRADUATE M.D. IN RADIO-DIAGNOSIS 4. Date of Admission to course 29/04/2010 5. Title of the Topic 6. BRIEF RESUME OF THE INTENDED WORK : 6.1 Need for the study : “ROLE OF DIFFUSION WEIGHTED MAGNETIC RESONANCE IMAGING IN FOCAL LIVER LESIONS”. The liver is an organ in which various benign or malignant primary or secondary masses can be detected. Today, focal masses are diagnosed using ultrasonography (USG) and/or computed tomography (CT). Additionally, magnetic resonance imaging (MRI) is preferred when further characterization of these masses is needed. MRI has many advantages (e.g., high contrast resolution, the ability to obtain images in any plane, lack of ionizing radiation, and the safety of using particulate contrast media rather than those containing iodine) that make it a favored modality. Lesion morphology, signal intensity, and contrast enhancement pattern are taken into consideration when characterizing masses with MRI; however, even if the data are evaluated together, there can still be difficulties in the differentiation of benign and malignant lesions. 1 Although dynamic contrast enhanced examinations have become a routine component of abdominal imaging, the high cost/benefit ratio and risk of contrast media side effects remain an issue. Moreover, sometimes it is not possible to distinguish between highly vascular metastases and hemangiomas, even using dynamic examinations.1 Diffusion is a physical property, which describes the microscopic random movement of (water) molecules driven by their internal thermal energy. This movement is known as Brownian motion. In biological tissues, water diffusion is movement of water molecules in intracellular, extracellular and intravascular spaces. Diffusion is affected by the biophysical properties of tissue cell organization (cell membranes, fibers and macromolecules), density, microstructure and microcirculation. Intracellular water diffusion is more hindered than that in the extracellular spaces which are lacking natural barriers. Pathological processes which change the volume ratio or physical nature of intra- and extracellular spaces affect the diffusion of water molecules. Restricted or impeded diffusion is seen in tissues with high cellularity, e.g. tumors, abscesses, fibrosis and cytotoxic edema. Relative free or unimpeded diffusion is encountered in tissues with low cellularity or tissues with disrupted cell membranes, for example in cysts and necrotic tissues. DWI relies on measuring diffusion of water molecules in the tissue by MRI. It uses a pulse sequence (T2-weighted spin echo sequence) and 2 strong motion probing gradients on either side of the 180º refocusing pulse, known as the Stejskal-Tanner sequence. The first gradient, prior to the 180º RF pulse is the dephasing (diffusion sensitizing) gradient. The second gradient, after the RF pulse, is the rephasing gradient. In tissues with restricted diffusion, the effect of the dephasing gradient is cancelled out by the rephasing gradient. This causes little impact on the overall T2 decay, reflected as a maintained T2 signal in the tissue. When diffusion is not impeded, water molecules can move a considerable distance between the dephasing and rephasing gradients. The mobile water molecules will not be fully rephased and a reduction in overall T2 signal intensity follows.2 The term b value refers to the strength of the diffusion sensitizing gradient. The b value is proportional to the gradient amplitude, the duration of the applied gradient, and the time interval between paired gradients and is measured in seconds per square millimeter .Diffusion-weighted imaging is performed with at least two b values, including a b value of 0 sec/mm2 and a higher b value of 500–1000 sec/mm2 depending on the body region or organ being imaged.3 2 Diffusion coefficients in DWI are reflected in the apparent diffusion coefficient (ADC, expressed in mm2/s).2 The ADC represents the slope (gradient) of a line that is produced when the logarithm of relative signal intensity of tissue is plotted along the y-axis versus b values along the x-axis Quantitative analysis of diffusion-weighted imaging findings can be performed only if at least two b values are used for imaging. In liver b values of 0 and 500–600 sec/mm2 are typically used. Although at least two b values are required for diffusion weighted imaging analysis, the application of a greater number of b values will improve the accuracy of the calculated ADC. The disadvantage of using multiple high b values is an associated increase in scanning time.3 The use of DWI in other parts of the body is relatively new, but very promising for the detection and differentiation of benign and malignant lesions, imaging for dissemination in oncological patients before treatment and for follow-up after treatment of liver tumors. Besides this, DWI is thought to be capable of predicting the response to therapy of malignant tumors. 2 Diffusion images should be interpreted in conjunction with conventional sequences. In patients who cannot receive gadolinium-based contrast agents, DW MR imaging has the potential to be a reasonable alternative technique to contrast-enhanced imaging.4 Thus a study design to evaluate the contribution of imaging science towards the evaluation and diagnosis of focal liver lesions 6.2 Review of literature : A total of 77 patients and 65 healthy controls were enrolled in the study. DWMRI was performed with b-factors of 0, 500 and 1000 s/mm(2), and the apparent diffusion coefficients (ADC) values of the normal liver and the lesions were calculated. The mean ADC value of the focal liver lesions were as follows: simple cysts (3.16 +/- 0.18 x 10(-3) mm(2)/s), hydatid cysts (2.58 +/- 0.53 x 10(-3) mm2/s), hemangiomas (1.97 +/- 0.49 x 10(-3) mm(2)/s), metastases (1.14 +/- 0.41 x 10(-3) mm(2)/s) and hepatocellular carcinomas (HCC) (1.15 +/- 0.36 x 10(-3) mm(2)/s). The mean ADC values of all the disease groups were statistically significant when compared with the mean ADC value of the normal liver (1.56 +/- 0.14 x 10-3mm2/s), (P < 0.01). There were also statistically significant differences among the ADC values of hemangiomas and HCC metastases (P < 0.01), and simple and hydatid cysts 3 (P < 0.008). However, there was no statistically significant difference between HCC and metastases. The present study showed that ADC measurement has the potential to differentiate benign and malignant focal hepatic lesions5 A total of 542 lesions in 382 patients were evaluated. ADC values were measured in 166 hemangiomas, 112 hepatomas, 107 metastases, 95 cysts, 10 abscesses, 43 FNH, and nine adenomas. ADCs of 1.5 and 1.6 (×10−3 mm2/second) were selected as threshold values to separate benign and malignant lesions. There was high interobserver agreement in ADC measurements for all lesion types. The mean ADCs for cysts was 3.40 (×10 −3mm2/second), hemangiomas 2.26, FNH 1.79, adenomas 1.49, abscesses 1.97, HCC 1.53, and metastases 1.50. The mean ADC for benign lesions was 2.50 and for malignant lesions was 1.52. Cysts were easily distinguished from other lesions. There was, however, overlap between solid benign and malignant lesions.6 In study 104 patients with focal liver masses .DWI was performed with b values of 0, 50, and 400s/mm2. Of these, 76 patients had lesions larger than 2 cm diameter, radiologic or pathologic characterization of the lesion, and diagnostic quality DWI. The apparent diffusion coefficient (ADC) of the largest liver lesion was measured. The analyzed lesions were hemangioma (n = 17), cysts (n = 5), hepatocellular cancer (HCC) (n = 41), adenoma (n = 3), focal nodular hyperplasia (FNH) (n = 6), and metastases (n = 4). The mean (standard deviation) ADC values (10−5 mm2/second) of hemangiomas, cysts, FNH, and HCC were 156.8 (54.1), 190.2 (43.0), 130.1 (81.9), and 107.6 (32.7). The ADC of cysts and hemangiomas were significantly higher than that of other lesions.7 51 solid focal lesions (26 patients) with MRI, using conventional sequences and diffusion-weighted imaging obtained with EPI mode with different values of "b". Lesions corresponded to 20 hemangiomas, 12 focal nodular hyperplasia (FNH), 5 hepatocellular carcinoma (HCC), and 14 metastases. The statistical analysis allowed us to determine optimal cutoff level (ADC 1.28 x 10-3mm2/s) to differentiate benign from malignant lesions. ADC values of benign lesions were significantly higher than those of the malignant ones; the hemangioma was the solid lesion with higher ADC values, followed by FNH, HCC and metastases, with lower values. Registered mean values were 1.68, 1.30, 1.08 and 1.03 (x10-3mm2/s), respectively. In our view, the diffusionweighted technique should be used to supplement conventional MRI for proper characterization of solid liver lesions.8 30 patients that underwent upper abdominal MRI examinations because of hepatic masses that were found to be ≥1 cm in size with conventional sequences, and were additionally evaluated with diffusion-weighted MRI. Diffusion-weighted images and ADC maps in the axial plane were obtained .Mean ADC measurements were 4 calculated among the 30 cases involving 41 hepatic masses. Of the 41 hepatic masses, 24 were benign and 17 were malignant. Benign lesions included 6 cysts, 14 hemangiomas, 2 abscesses, and 2 hydatid cysts. Malignant masses included 8 metastases, 4 hepatocellular carcinomas, 4 cholangiocellular carcinomas, and 1 gall bladder adenocarcinoma. The highest ADC values were for cysts and hemangiomas. The mean ADC value of benign lesions was 2.57 +/- 0.26 x 10-3mm2/s, whereas malignant lesions had a mean ADC value of 0.86 +/- 0.11 × 10-3 mm2/s. The mean ADC value of benign lesions was significantly higher than that of malignant lesions (P < 0.01). Diffusion-weighted MRI with quantitative ADC measurements can be useful in the differentiation of benign and malignant liver lesions.9 Diffusion-weighted imaging performed in 46 patients with 74 known focal hepatic lesions (11 hemangiomas, 15 metastases, and 48 hepatocellular carcinomas [HCCs]). Mean values for ADCs and CNRs of all lesions were calculated. The mean values for ADCs were different for each type of tumor (5.39 x 10-3 mm2/sec +/- 1.23 in hemangiomas, 2.85 x 10-3 mm2/sec +/- 0.59 in metastases, and 3.84 x 10-3 mm2/sec +/- 0.92 in HCCs), and each of them was significantly greater than the mean values for ADCs of the normal liver (2.28 x 10(-3) mm2/sec +/- 1.23 in normal liver [p < .05] except metastasis versus normal liver [p < .1]).Also, the mean values for ADCs were based on differences of ADC values. Only four (6%) of 63 malignant tumors (three HCCs and one metastasis) could not be differentiated from hemangiomas. Mean values for ADCs differed for the three types of the hepatic lesions and were higher than ADCs of the normal liver. Diffusion-weighted imaging may be useful for increased detection of HCCs and metastases and in distinguishing these entities from hemangiomas.10 Zech et al reported a higher sensitivity for DWI compared to conventional MRI in the detection of HCC in the cirrhotic liver (98% for DWI vs 83%-85% for MRI.11 Fifty-two patients with extrahepatic primary malignant tumors underwent 1.5-T MRI that included DW EPI and the following variants of T2-weighted TSE techniques: breath-hold fat-suppressed HASTE, breath-hold fat-supressed TSE, respiration-triggered fat-suppressed TSE, breath-hold STIR, and respiration-triggered STIR. A total of 118 hepatic metastatic lesions (mean diameter, 12.8 mm; range, 3–84 mm) were evaluated. Accuracy values were higher (p < 0.001) with DW EPI (0.91– 0.92) than with the T2-weighted TSE techniques (0.47–0.67). Imaging with the HASTE sequence (0.47–0.52) was less accurate (p < 0.05) than imaging with the breath-hold TSE, breath-hold STIR, respiration-triggered TSE, and respirationtriggered STIR sequences (0.59–0.67). Sensitivity was higher (p< 0.001) with DW EPI (0.88–0.91) than with T2-weighted TSE techniques (0.45–0.62). For small (≤ 10 mm) metastatic lesions only, the differences in sensitivity between DW EPI (0.85) and T25 weighted TSE techniques (0.26–0.44) were even more pronounced. DW EPI was more sensitive and more accurate than imaging with T2-weighted TSE techniques. Because of the black-blood effect on vessels and low susceptibility to motion artifacts, DW EPI was particularly useful for the detection of small (≤ 10 mm) metastatic lesions.12 Diffusion-weighted echo-planar imaging was performed in 51 patients with 59 hepatic masses (41 malignant tumors, nine hemangiomas, and nine cysts). Apparent diffusion coefficient (ADC) values were obtained with two motion-probing gradients (b = 30 and 1,200 sec/mm2) during each of the breath-hold periods, and an ADC map was constructed. The ADC value of malignant masses (1.04 x 10-3 mm2/sec) was significantly lower (P < .01) than that of benign masses (hemangiomas [1.95 x 10-3 mm2/sec] and cysts [3.05 x 10-3 mm2/sec]), although the T2s showed considerable overlap. A small amount of overlap in ADC values occurred among malignant tumors, hemangiomas, and cysts. ADC values of two cystic masses from ovarian carcinomas were within the range of those of hemangiomas. These preliminary results indicate that diffusion-weighted MR imaging can be useful in characterizing focal liver masses. With the exception of cystic metastatic tumors, the technique may be especially useful in tumors that appear markedly hyperintense on T2-weighted images due to a long T2.13 Thirty-eight patients with focal liver lesions that were detected by US or CT scan underwent diffusion weighted MRI (DWI) in addition to routine MRI. Two b values (b=0 s/mm2, 1000 s/mm2) were used and the quantitative analysis of the diffusion (ADC) was calculated. The liver masses were diagnosed on histology or had characteristic MRI findings and follow up of more than 6 months. The analyzed lesions were hemangioma (n = 9), cysts (n = 2), hepatocellular cancer (HCC) (n = 20), and metastases (n = 7). The diffusion-weighted MRI sequence is a useful diagnostic tool and it can contribute to accurate diagnosis and discrimination between benign and malignant hepatic masses. DWI can significantly reduce the need for intravenous administration of contrast medium in evaluation of malignancies.14 6.3 Objectives of the study : Detection and characterization of focal liver lesions. Differentiation of benign from malignant liver lesions. Differentiation of liver metastasis from primary liver lesions 6 7. MATERIAL AND METHODS : 7.1 Source of data : The main sources of data for the study are patients from the following teaching Hospital attached to Bapuji Education Association, J.J.M. Medical College, Davangere. 1. Bapuji Hospital. 2. Chigateri General Hospital. 3. S.S. Institute of Medical Sciences & Research Centre 7.2. Method of collection of data (including sampling procedure if any): All patients referred to the department of Radio diagnosis Patients of all age groups referred to MRI clinically suspected of focal liver lesions. Patients with indeterminate lesions detected on USG or CT in a period of 1 year 2 months from October 2011 to November 2012 will be subjected for the study. Initially a minimum of 30 cases are intended to be taken up, however the scope of increasing the number of cases exists depending upon the availability within the Study period. Abdomen will be assessed in axial, sagittal and coronal planes. Recommended sequences: spin-echoT1WI, fast SE T2WI in axial and coronal plane, gradient echo(GE) and DWI, Post contrast dynamic study(whenever indicated) Inclusion criteria : The study include: All patients referred for MRI with clinically suspected focal liver lesions and patients with indeterminate liver lesions detected on USG or CT Exclusion criteria: The study will exclude: All patients having cardiac pacemakers, prosthetic heart valves, cochlear implants or any metallic implants. Patient having history of claustrophobia. All patients who do not consent to be a part of the study. 7 Duration of study: 1 year 2 month. Data Analysis: By Proportion. 7.3 Does the study require any investigations or interventions to be conducted on patients or other humans or animals? If so, please describe briefly. Yes The study is mainly based on investigations as Radiology itself is a tool of investigation. Interventions would be done as and when it is indicated alone. The study involves only humans. Informed consent would be taken after explaining about and before any procedure. 7.4. Has ethical clearance been obtained from your institution in case of 7.3? Yes. Ethical clearance has been obtained from the Research and Dissertation Committee/ Ethical Committee of the institution for this study. 8 8. REFERENCES : 1) Demir Öİ, Obuz F, Sağol Ö , Dicle O. Contribution of diffusion-weighted MRI to the differential diagnosis of hepatic masses. Diagn Interv Radiol.2007; 13:81-8. 2) Kele p ,Van der Jagt, E. World J Gastroenterol. 2010 April 7; 16(13): 1567–1576. 3) Qayyum A. Diffusion-weighted Imaging in the Abdomen and Pelvis: Concepts and Applications. RadioGraphics 2009; 29:1797–1810. 4) Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology 2010 Jan;254(1):47-66. 5) Kilickesmez O, Bayramoglu S, Inci E, Cimilli T. Value of apparent diffusion coefficient measurement for discrimination of focal benign and malignant hepatic masses. J Med Imaging Radiat Oncol. 2009 Feb;53(1):50-5. 6) Miller, F. H., Hammond, N., Siddiqi, A. J., Shroff, S., Khatri, G., Wang, Y., Merrick, L. B. and Nikolaidis, P. (2010), Utility of diffusion-weighted MRI in distinguishing benign and malignant hepatic lesions. Journal of Magnetic Resonance Imaging, 32: 138–147. 7) Sandrasegaran K, Akisik FM, Lin C, Tahir B, Rajan J, Aisen AM. The Value of Diffusion-Weighted Imaging in Characterizing Focal Liver Masses. Academic Radiology 2009 Oct ; 16(10) :1208-1214, 8) Vergara ML et al. Diffusionweighted MRI characterization of solid liver lesions. Rev Chil Radiol 2010: 16 (1): 510. 9) Demir OI, Obuz F, Sagol O and Dicle O. Contribution of diffusionweighted MRI to the differential diagnosis of hepatic masses Diagn Interv Radiol 2007; 13:81-86 10) Chikawa T, Haradome H, Hachiya J, Nitatori T, Araki T. Diffusionweighted MR imaging with a single-shot echoplanar sequence: detection and characterization of focal hepatic lesions AJR Am J Roentgenol. 1998 Feb; 170(2):397-402. 9 11) Zech CJ, Reiser MF, Herrmann KA. Imaging of hepatocellular carcinoma by computed tomography and magnetic resonance imaging: state of the art. Dig Dis. 2009; 27(2):114-24 12) Bruegel M, Gaa J, Waldt S, Woertler K, Holzapfel K, Kiefer B, Rummeny EJ. Diagnosis of hepatic metastasis: comparison of respiration-triggered diffusion-weighted echo-planar MRI and five t2-weighted turbo spin-echo sequences.AJR Am J Roentgenol. 2008 Nov;191(5):1421-9. 13) Namimoto T, Yamashita Y, Sumi S, Tang Y, Takahashi M.Focal liver masses: characterization with diffusion-weighted echo-planar MR imaging. Radiology. 1997 Sep; 204(3):739-44. 14) Abbas I, Elghawabi.H. Diffusion mri of focal liver lesions.PJR, 2010JanMar; 1(20):01-07. 10 9. Signature of candidate 10 Remarks of the guide Diffusion-weighted (DW) MR imaging is an emerging, promising application for detection and characterization of liver lesions. 11 Name & Designation of (in block letters) 11.1 Guide Dr. SHIVMURTHY.K.N M.D.,D.M.R.D., PROFESSOR, DEPARTMENT OF RADIO-DIAGNOSIS, J.J.M. MEDICAL COLLEGE, DAVANGERE – 577 004. 11.2 Signature 11.3 Co-Guide (if any) -- 11.4 Signature 11.5 Head of the Department Dr. J . PRAMOD SETTY M.D., PROFESSOR AND HEAD, DEPARTMENT OF RADIO-DIAGNOSIS, J.J.M. MEDICAL COLLEGE, DAVANGERE – 577 004. 11.6 Signature 12 Remarks of the Chairman & Principal 12.2. Signature. 11 12