The Nonspecificity of Absorption Coefficients in the Differentiation of Solid Tumors and Cystic Lesions

Latchaw, Richard E.; Gold, Lawrence H. A.; Moore, J. S.; Payne, Junaidi

doi:10.1148/125.1.141

Cited by 32 publications

(6 citation statements)

References 10 publications

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“…In two cases, two specimens were necessary, three patients had three specimens, and two patients had four specimens taken before a histological diagnosis could be made. 4 Volume ofsample The volume of sample, from which a definitive histological diagnosis was obtained, was evaluable in 71 biopsies. In 48 biopsies (67%) the volume of sample was less than 2 mm3.…”

Section: General Aspectsmentioning

confidence: 99%

CT-assisted stereotactic brain biopsy: value of intraoperative frozen section diagnosis.

Colbassani

Nishio

Sweeney

et al. 1988

Journal of Neurology, Neurosurgery & Psychiatry

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Section: General Aspectsmentioning

confidence: 99%

CT-assisted stereotactic brain biopsy: value of intraoperative frozen section diagnosis.

Colbassani

Nishio

Sweeney

et al. 1988

Journal of Neurology, Neurosurgery & Psychiatry

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“…PULLAN et al (1978) worked on the characterisation of regions in a CT image using statistical central moments (such as mean, standard deviation and skewness) obtained from histograms of CT values and a gradient measure (taken as a simplified measure of texture) within delimited regions, with application to brain tumours and lesions of the spleen and liver. KRAMER et al (1977) reported on work similar to that of PULLAN et al LATCHAW et al (1977) opined that CT is non-specific in the separation of solid tumours and cystic lesions in the brain.…”

Section: Tissue Characterisation Using Ctmentioning

confidence: 81%

“…Some authors have reported success in using CT units to differentiate between tissues that are visually similar in CT images (KRAMER et al, 1977;PULLAN et al, 1978;MATEGRANO et al, 1977;WILLIAMS et al, 1980), whereas others have reported failure in the same task (LATCHAW et al, 1977;FOGLIA et al, 1989). Although the measurement of the linear attenuation coefficient of tissues in vitro can be performed with good precision (RAo and GREGG, 1975;PHELPS et al, 1975), several sources of error can degrade the performance of (1977).…”

Section: Tissue Characterisation Using Ctmentioning

confidence: 99%

Estimation of the tissue composition of the tumour mass in neuroblastoma using segmented CT images

Ayres

Zuffo

Rangayyan

et al. 2004

Med. Biol. Eng. Comput.

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Neuroblastoma is the most common extra-cranial, solid, malignant tumour in children. Advances in radiology have made possible the detection and staging of the disease. Nevertheless, there is no method available at present that can go beyond detection and qualitative analysis, towards quantitative assessment of the tissue composition of the primary tumour mass in neuroblastoma. Such quantitative analysis could provide important information and serve as a decision-support tool to the radiologist and the oncologist, result in better treatment and follow-up and even lead to the avoidance of delayed surgery. The problem investigated was the improvement of the analysis of the primary tumour mass, in patients with neuroblastoma, using X-ray computed tomography (CT) images. A methodology was proposed for the estimation of the tissue content of the mass: it comprised a Gaussian mixture model for estimation, from segmented CT images, of the tissue composition of the primary tumour. To demonstrate the potential of the method, the results are presented of its application to ten CT examinations of four patients. The method provides quantitative information, and it was observed that the tumour in one of the patients reduced from 523 cm3 to 81 cm3 in volume, with an increase in calcification from about 20% to about 88% of the tumour volume, in response to chemotherapy over a period of five months. Results indicate that the proposed technique may be of considerable value in assessing the response to therapy of patients with neuroblastoma.

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“…Acute hemorrhage has previously been shown to be highly echogenic and sharply circumscribed corresponding histologically to the dimensions of the clot (31,33,34,69). Hypodense areas appear within glioblastomas and are often seen by CT following treatment (24,65,77,105). However, the mean density of such a hypodense area does not distinguish cyst from central necrosis or solid tumor (65).…”

Section: Characterization Of Secondary Brain Tumor Characteristics (Nmentioning

confidence: 99%

“…Hypodense areas appear within glioblastomas and are often seen by CT following treatment (24,65,77,105). However, the mean density of such a hypodense area does not distinguish cyst from central necrosis or solid tumor (65). Intraoperative HRUS imaging has been very useful at distinguishing cystic from solid parts of brain tumors (27,37,38,42,89).…”

Section: Characterization Of Secondary Brain Tumor Characteristics (Nmentioning

confidence: 99%

Correlation of neuropathologic findings, computerized tomographic and high-resolution ultrasound scans of canine avian sarcoma virus-induced brain tumors

et al. 1987

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The location, size, geometry and neuropathological findings of anaplastic astrocytomas (AA), gliosarcomas and sarcomas induced by the avian sarcoma virus (ASV) in dogs were compared with images generated using computerized tomography (CT) and real time high-resolution ultrasound (HRUS). Seven AA showed a wide range of findings on CT. Pre-contrast CT scans showed that the tumors could be hyper, hypo, or isodense. Three of seven AA had no contrast enhancement; two of these tumors were also isodense which resulted in a false-negative CT exam. Partial enhancement was seen in one tumor. This resulted in a sensitivity of detection of 72%. Real time HRUS was able to define tumor location, size and geometry of the AA missed or incompletely imaged by CT. All tumors were hyperechoic. Inhomogeneity of the echo pattern was due to hemorrhage, cyst formation, and necrosis within the tumors. Such secondary tumor characteristics were more accurately defined by HRUS compared to CT. Vasogenic edema in the brain surrounding tumors was of low density on CT and hypoechoic or indistinguishable from normal brain on US. Similar findings were seen in six gliosarcomas, two of which were not visualized by either pre- or post-contrast enhanced CT scans (sensitivity of 66%). Sarcomas differed in that they were either hyper or isodense; none were hypodense. The area of increased density matched the tumor geometry and correlated with dense cellularity and reticulin deposition. All 13 sarcomas showed contrast enhancement (100% sensitivity), but in two tumors, contrast enhanced CT underestimated the size of the tumor. Because of the large size and multiplicity of the sarcomas, HRUS imaging was not able to resolve the entire tumor volume because of limited imaging access. Intravenously injected horseradish peroxidase (HRP) crossed the tumor blood-brain barrier (BBB) only in those tumors in which contrast enhancement was seen. These studies suggest that intraoperative HRUS imaging may be useful in detecting and delineating human AA incompletely visualized by CT.

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The Nonspecificity of Absorption Coefficients in the Differentiation of Solid Tumors and Cystic Lesions

Cited by 32 publications

References 10 publications

CT-assisted stereotactic brain biopsy: value of intraoperative frozen section diagnosis.

CT-assisted stereotactic brain biopsy: value of intraoperative frozen section diagnosis.

Estimation of the tissue composition of the tumour mass in neuroblastoma using segmented CT images

Correlation of neuropathologic findings, computerized tomographic and high-resolution ultrasound scans of canine avian sarcoma virus-induced brain tumors

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