Twenty-two patients with primary or metastatic brain tumors were evaluated with computerized tomography (CT) and intraoperative ultrasound. Tumor volume was estimated using a geometric formula based on CT and intraoperative ultrasound measurements. In most cases, tumor margins were marked with indigo carmine injected by ventricular cannula or with Silastic ventricular catheters placed under ultrasonographic control. Nine tumors had previously been operated on and irradiated (Group A). In this group, intraoperative ultrasound tended to overestimate the tumor volume compared to CT (intraoperative ultrasound findings 141.39% +/- 37.73% of CT findings (mean +/- standard deviation]. Sixteen patients were operated on for the first time (Group B), and in this group the volume estimates were comparable (intraoperative ultrasound findings 101.69% +/- 24.65% of CT findings). The difference between the means was statistically significant (p less than 0.01). Ultrasonography improved intraoperative delineation of tumor margins, as depicted by CT, thus maximizing the extent of resection; however, with recurrent tumors, intraoperative ultrasound tended to overestimate the tumor volume. Gliosis may account for this difference.

A major obstacle in surgical neuro-oncology is differentiating the interface between tumor and normal brain. Twenty-two brain tumors were evaluated preoperatively with magnetic resonance imaging. Intraoperative ultrasonography was used to guide surgical resection of these tumors, and results were compared with surgical and pathologic findings. Ultrasound tumor volume estimates were larger than T1 gadolinium-enhanced and T1 non-gadolinium-enhanced volumes, but these differences did not reach statistical significance. Similarly T2 volumes were larger than the corresponding sonographic volumes, except for the subset of low-grade gliomas, and in that instance the difference was small, but again the differences were not statistically significant. Ultrasonography enhanced identification of infiltrating tumor cells beyond falsely underestimated tumor margins as defined by T1 images. Ultrasound images helped differentiate edema as seen on T2 images from solid tumor and normal brain. The information gained from ultrasound images can be used to enhance tumor resection and improve patient survival and quality of life.

Thirty-three patients with low grade gliomas were evaluated with preoperative computed tomography (CT), magnetic resonance (MR) and intraoperative ultrasound (IOUS). Six patients had undergone previous surgical exploration. Tumor borders were marked with cortical letters and corresponding depths calculated. Resection of tumor corresponded to these ultrasound dimensions. The histology of biopsy specimens from tumor and ultrasound determined margins was studied on formalin fixed permanent sections using hematoxylin and eosin (H&E) and immunocytochemistry (GFAP). Tumors were all seen on preoperative MR studies and most commonly showed a decreased T1 and increased T2 signal. Seven tumors showed variable enhancement with gadolinium. On CT two tumors were not seen, twenty-three tumors were hypodense and eight hyperdense. Three tumors showed variable CT contrast enhancement. All tumors were hyperechoic on ultrasound. Twenty-five (75%) tumors were well defined with distinct margins compared to adjacent brain. Eight tumors had poorly defined borders on ultrasound; five (62%) of these lesions had previously undergone surgery. Eight tumors invaded functional brain identified by stimulation mapping techniques (e.g., speech cortex), thus limiting the resection. Five resections were limited because of involvement of important anatomical structures (e.g., corpus callosum). Of the remaining 20 tumors, seventeen (85%) had ultrasound defined margins that were histologically free of solid tumor (normal brain or sparse atypical cells only). Low grade gliomas are readily identified and their margins well defined by intraoperative ultrasound regardless of preoperative imaging patterns. The results suggest that IOUS may enhance intraoperative delineation and extent of resection for low grade gliomas.

Previously published reports have indicated that idiopathic polyhydramnios may be associated with trisomies 18 and 21 and that chromosomal analysis is indicated. Furthermore, the natural history and fetal outcome of polyhydramnios diagnosed in early gestation have not been well delineated. We identified 138 pregnancies with polyhydramnios prior to 26 weeks' gestation. Of 131 complete cases, 21 were diagnosed as severe, 18 as moderate, and 92 as mild polyhydramnios. Congenital abnormalities were noted in 18 of 21 severe cases (86 per cent). Two of the remaining three cases were twin-to-twin transfusion. Thirteen of 18 cases with moderate polyhydramnios (72 per cent) were associated with anomalies; six of the remaining cases were twin-to-twin transfusion. Sixteen of 92 cases of mild polyhydramnios (17 per cent) were associated with congenital abnormalities. In 69 of 76 cases of mild hydramnios not associated with anomalies (91 per cent), the hydramnios resolved prior to delivery. Only 2 of 16 (13 per cent) associated with anomalies resolved. In 4 of 5 cases (80 per cent) with moderate hydramnios and no anomalies, the amniotic fluid volume was normal on subsequent ultrasound. No case of moderate polyhydramnios associated with anomalies or maternal conditions nor any case of severe polyhydramnios resolved. There were seven cases of chromosomal abnormalities in this series; all were associated with sonographic findings in addition to the presence of polyhydramnios. On the basis of these data, we doubt the benefit of amniocentesis following the early diagnosis of idiopathic polyhydramnios in the absence of other ultrasound findings.