On the basis of the present results, BSI as calculated using the Bonenavi(®) system significantly correlated with EOD. Sensitivity and specificity as measured by the fully automated method were lower than those of semi-automated BSI with modification by radiologists. Therefore, semi-automated BSI is considered to have the possibility to substitute for EOD grading to predict the survival of prostate carcinoma patients with bone metastases, with only slight interobserver variation.
Portal vein thrombosis (PVT) after hepatobiliary surgery is rare but can cause lethal and severe complications. If early diagnosis and recanalization can be achieved, the PVT is expected to be eliminated. A 70-year-old male was diagnosed as having hepatocellular carcinoma occupying the right lobe of the liver. As oligometastatic lung tumors were simultaneously detected on contrast-enhanced CT (CECT), hepatectomy was not indicated. However, the primary tumor was very large, and as large tumor size can be associated with an unfavorable prognosis, and owing to the strong desire of the patient, he underwent right lobe hepatectomy. Jaundice appeared on post-operative Day (POD) 2 and CECT displayed slight intraheptatic bile duct dilation. However, a PVT did not exist at this time. Percutaneous transhepatic biliary drainage was performed and Doppler echo displayed intrahepatic and extrahepatic PVT on post-operative Day 5. Emergent thrombectomy was performed using a Vasplyser Plus
TM
thrombus aspiration catheter (Johnson & Johnson K.K. Medical Company, Tokyo, Japan) via the ileocolic vein under laparotomy. The mesenteric catheter was placed at the distal point of the residual PVT. Thrombolysis and anticoagulant therapy were performed using heparin and urokinase. In the CECT performed 16 days after the additional operation, the PVT had disappeared and the portal vein was completely recanalized. The mesenteric catheter was removed on the same day and oral anticoagulant therapy was continued. At the time of writing, 14 months have passed with no recurrence of PVT. Early diagnosis of PVT enables treatment with emergent thrombectomy, thrombolysis, and anticoagulant therapy. These treatments result in the improvement of portal vein flow and the complete disappearance of PVT.
Accurate staging and evaluation of therapeutic effects are important in managing plasma-cell neoplasms. Diffusion-weighted imaging with body signal suppression magnetic resonance imaging (DWIBS-MRI) allows for acquisition of whole-body volumetric data without radiation exposure. This study aimed to investigate the usefulness of DWIBS-MRI in plasma-cell neoplasms. We retrospectively analyzed 29 and 8 Japanese patients with multiple myeloma and monoclonal gammopathy of undetermined significance, respectively, who underwent DWIBS-MRI. We conducted a histogram analysis of apparent diffusion coefficient values. The correlations between each histogram parameter and staging, cell maturation, prognosis, and treatment response were evaluated. We found that the apparent diffusion coefficient values in patients with monoclonal gammopathy of undetermined significance were lower than those in patients with multiple myeloma. Pretreatment apparent diffusion coefficient values of immature myeloma were lower than those of mature myeloma. Moreover, these values decreased in proportion to stage progression in Durie-Salmon classification system but showed no significant correlation with other staging systems or prognosis. Patients were stratified as responder, stable, and non-responder based on the International Myeloma Working Group criteria. The magnitude of changes in apparent diffusion coefficients differed significantly between responders and non-responders (0.154 ± 0.386 ×10–3 mm2/s vs. -0.307 ± 0.424 ×10–3 mm2/s, p = 0.003). Although its usefulness has yet to be established, DWIBS-MRI combined with apparent diffusion coefficient measurement allowed for excellent response evaluation in patients with multiple myeloma. Furthermore, apparent diffusion coefficient analysis using DWIBS-MRI may be useful in predicting cell maturation and total tumor volume.
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