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Biomedical subjects

G M Clark

Publications and source records attributed to G M Clark.

At least 19 recordsLinked to original sources
PubMed1992

Prognosis and treatment decisions in patients with breast cancer without axillary node involvement.

BACKGROUND: Every month, treatment decisions must be made for more than 6000 patients with breast cancer without axillary node involvement in the United States. Approximately 70% of these patients will survive more than 10 years after surgery and/or radiation treatment without additional systemic adjuvant therapy. If we had good methods to identify patients who are destined to have a recurrence of their disease, only those patients should receive adjuvant therapy. METHODS: The authors reviewed the literature supporting the use of currently available prognostic factors for patients with node-negative breast cancer, and formulated a framework on which prognostic factor information can be based to help make these treatment decisions. RESULTS: The steps involved in making treatment decisions are: use prognostic factors to determine the recurrence probability; calculate the expected treatment benefit; and weigh the expected benefits against the potential risks. CONCLUSIONS: Prognostic factors can be used to help make treatment decisions for patients with breast cancer without axillary node involvement. However, the final treatment decision must take into account all aspects of the patient and her disease, and the physician must help the patient evaluate her prognostic factors, arrive at an understanding of her particular risk of recurrence, and weigh the potential benefits and risks of adjuvant therapy.

Axilla↗
PubMed1992

Hispanic patients with head and neck cancer do not have a worse prognosis than Anglo-American patients.

This study was undertaken to determine whether the survival of Hispanic patients with squamous cell carcinoma of the head and neck was different from that of Anglo-American patients. The charts of 275 male patients with a diagnosis of squamous cell carcinoma of the head and neck at one Veterans Administration Hospital were reviewed in an attempt to identify prognostic indicators for both ethnic groups. No differences were observed between Anglo-American and Hispanic patients with respect to sites of the primary tumor, age at diagnosis, performance status, or the frequency of surgery, radiation therapy, or chemotherapy; however, there was a tendency for Hispanic patients to have received more treatment. There also was a trend (P = 0.12) for Hispanic patients to have a more advanced stage of cancer. Hispanic patients lost significantly more weight (P less than 0.001) and had significantly lower serum albumin levels (P less than 0.0001). According to the results of multivariate survival analyses, the variables that were predictive of a poor prognosis included advanced stage of disease, decreased serum albumin levels, increased weight loss, administration of chemotherapy, lack of radiation therapy or surgery, and advanced age. Ethnicity was not a significant predictor of survival either in univariate analyses, or within patients with the same stage of disease, or after adjustment for other prognostic factors. In conclusion, the natural history of squamous cell carcinoma of the head and neck is the same for Hispanic and Anglo-American patients.

Carcinoma, Squamous Cell↗
PubMed1992

A demonstration that breast cancer recurrence can be predicted by neural network analysis.

Neural Network Analysis, a form of artificial intelligence, was successfully used to predict the clinical outcome of node-positive breast cancer patients. A Neural Network was trained to predict clinical outcome using prognostic information from 1008 patients. During training, the network received as input information tumor hormone receptor status, DNA index and S-phase determination by flow cytometry, tumor size, number of axillary lymph nodes involved with tumor, and age of the patient, as well as length of clinical followup, relapse status, and time of relapse. The ability of the trained Network to determine relapse probability was then validated in a separate set of 960 patients. The Neural Network was as powerful as Cox Regression Modeling in identifying breast cancer patients at high and low risk for relapse.

Axilla↗
PubMed1992

Integrating prognostic factors.

This special issue of Breast Cancer Research and Treatment addresses the topic of how to evaluate new prognostic factors for breast cancer, and how the information provided by these new factors might be integrated with traditional factors to make better treatment decisions for these patients. Although the focus is on breast cancer, the techniques described are equally applicable to any situation involving survival or failure over time.

Breast Neoplasms↗
PubMed1992

Why do so many prognostic factors fail to pan out?

Although there can be many reasons that one study fails to confirm the results of another, the consequences of data exploration and the potential for spuriously significant results are often overlooked. A series of simulation experiments were designed to mimic the characteristics of relapse-free survival data that might be encountered in a prognostic factor study of node-negative breast cancer patients. Each simulated dataset of 500 or 250 cases was divided into a training set, used to select the "best" prognostic factor cutpoint, and a validation set, used to confirm the cutpoint. Testing multiple cutpoints markedly increased the risk of making a Type I error. The power to detect even small true differences was substantial, and increased as the number of cutpoints increased. Regardless of the number of cutpoints tested on the training sets, the Type I error rate on an independent validation data set was quite stable and the power of the validation set to detect true differences was not related to the number of cutpoints. Validation power closely approximated that predicted for a simple two group comparison. It is therefore recommended that exploratory analyses of prognostic factors formally employ some method of adjusting for increased Type I errors, such as independent validation sets, ad hoc adjustment factors, or other statistical methods of estimating the true risk.

Breast Neoplasms↗
PubMed1992

Making the most of your prognostic factors: presenting a more accurate survival model for breast cancer patients.

Determining an appropriate level of adjuvant therapy is one of the most difficult facets of treating breast cancer patients. Although the myriad of prognostic factors aid in this decision, often they give conflicting reports of a patient's prognosis. What we need is a survival model which can properly utilize the information contained in these factors and give an accurate, reliable account of the patient's probability of recurrence. We also need a method of evaluating these models' predictive ability instead of simply measuring goodness-of-fit, as is currently done. Often, prognostic factors are broken into two categories such as positive or negative. But this dichotomization may hide valuable prognostic information. We investigated whether continuous representations of factors, including standard transformations--logarithmic, square root, categorical, and smoothers--might more accurately estimate the underlying relationship between each factor and survival. We chose the logistic regression model, a special case of the commonly used Cox model, to test our hypothesis. The model containing continuous transformed factors fit the data more closely than the model containing the traditional dichotomized factors. In order to appropriately evaluate these models, we introduce three predictive validity statistics--the Calibration score, the Overall Calibration score, and the Brier score--designed to assess the model's accuracy and reliability. These standardized scores showed the transformed factors predicted three year survival accurately and reliably. The scores can also be used to assess models or compare across studies.

Breast Neoplasms↗
PubMed1992

A practical application of neural network analysis for predicting outcome of individual breast cancer patients.

It has been previously shown that Neural Networks can be trained to recognize individual breast cancer patients at high and low risk for recurrent disease and death. This paper expands on the initial investigation and shows that by coding time as one of the prognostic variables, a Neural Network can use censored survival data to predict patient outcome over time. In this demonstration a Neural Network was trained, tested, and validated using censored survival data from a group of 1373 patients with node-positive breast cancer. The Neural Network method predicted patient outcome as accurately as Cox Regression modeling. The final Neural Network model can be presented with a patient's prognostic information and make a series of predictions about probability of relapse at different times of follow-up, allowing one to draw survival probability curves for individual patients.

Adult↗
PubMed1992

Overexpression of HER-2/neu and its relationship with other prognostic factors change during the progression of in situ to invasive breast cancer.

Using permanent-section immunohistochemistry, we investigated the role of HER-2/neu in the development and progression of human breast cancer by measuring its overexpression in a series of hyperplastic (n = 30), dysplastic (n = 15), and malignant neoplastic (n = 708) lesions of ductal epithelium and by evaluating the relationships between overexpression and clinicopathologic features known to have prognostic significance in these lesions. The neoplasms included pure ductal carcinoma in situ (DCIS; n = 59) and infiltrating ductal carcinoma (IDC; n = 649). The latter were all node negative and stratified into IDC combined (n = 237) or not combined (n = 412) with a "significant amount" of DCIS (defined as DCIS greater than or equal to 10% of total tumor cellularity). Overexpression of HER-2/neu was not observed in any of the hyperplastic or dysplastic lesions. In contrast, it was present in 56% of pure DCIS and in 77% of the comedo subtype of this group. Only 15% of IDC overexpressed HER-2/neu. However, the rate of overexpression was significantly higher in the subset of IDC combined with DCIS compared with the subset of IDC not combined with DCIS (22% v 11%, respectively; P less than .0001). These results are consistent with the hypothesis that HER-2/neu plays a more important role in initiation than in progression of ductal carcinomas. They also suggest that overexpression decreases within individual tumors as they evolve from in situ to increasingly invasive lesions or, alternatively, that many invasive carcinomas arise de novo (ie, without progressing through a significant in situ stage) by mechanisms not involving HER-2/neu. In addition, overexpression of HER-2/neu was associated with several poor prognostic features (younger patient age, premenopause, negative estrogen receptor status, negative progesterone receptor status, and high nuclear grade) in the subset of IDC combined with DCIS. With one exception (negative estrogen receptor status) these associations were lost in IDC not combined with DCIS, also suggesting that the role of HER-2/neu changes during the progression of human breast cancer.

Biomarkers, Tumor↗
PubMed1992

A gated differential amplifier for recording physiological responses to electrical stimulation.

Artifact from electrical stimulation imposes a problem for the recording of physiological responses to electrical stimulation. Here we describe a simple, low-cost, gated differential amplifier for the recording of physiological responses to electrical stimulation. The gain of the amplifier is set to 1 during electrical stimulation by setting the gate input to a high logic state to avoid overloading of the amplifier by the artifact. Following electrical stimulation, the gate input is set to a low logic state, resulting in a gain of 1000 for frequencies between 300 Hz and 25 kHz (-3 dB points). The gain at low frequencies (0-0.2 Hz) is held constant at 1 to avoid transients in the output signal arising from changes in gain at these frequencies. The gain of the amplifier following stimulation (gate low) was independent of the magnitude of the artifact and was therefore suitable for the measurement of neural field potentials with low impedance electrodes.

Amplifiers, Electronic↗
PubMed1992

Cochleotopic selectivity of a multichannel scala tympani electrode array using the 2-deoxyglucose technique.

The 2-deoxyglucose (2-DG) technique was used to study the cochleotopic selectivity of a multichannel scala tympani electrode array in four cats with another acting as an unstimulated control. Each animal was unilaterally deafened and a multichannel electrode array inserted 6 mm into the scala tympani. Thresholds to electrical stimulation were determined by recording electrically evoked auditory brainstem responses (EABRs). Each animal was injected with 2-DG, and electrically stimulated using bipolar electrodes located either distal or proximal to the round window. The contralateral ear was stimulated with acoustic tone pips at frequencies that matched the electrode place. Stimulation of both distal and proximal bipolar electrodes at 3 x EABR threshold, evoked localized 2-DG labelling in both ipsilateral cochlear nucleus (CN) and the contralateral inferior colliculus (IC), which was very similar in orientation and breadth to labelling evoked by the contralateral tone pips. The cochleotopic position of labelling to proximal stimulation was located in the 24-26 kHz region of each structure, whereas the distal labelling was located around 12 kHz. Distal stimulation at 10 x EABR threshold produced very broad 2-DG labelling in IC centered around the 12 kHz place. The present 2-DG results clearly illustrate cochleotopic selectivity using multichannel bipolar scala tympani electrodes. The extent of this selectivity is dependent on electrical stimulus levels. The 2-DG technique has great potential in evaluating the efficacy of new electrode array designs.

Acoustic Stimulation↗
PubMed1992

Cochlear pathology following chronic electrical stimulation of the auditory nerve. I: Normal hearing kittens.

The present study examines the histopathological effects of long-term intracochlear electrical stimulation in young normal hearing animals. Eight-week old kittens were implanted with scala tympani electrode arrays and stimulated for periods of up to 1500 h using charge balanced biphasic current pulses at charge densities in the range 21-52 microC cm-2 geom. per phase. Both click and electrically evoked auditory brainstem responses were periodically recorded to monitor the status of the hair cell and spiral ganglion cell populations. In addition, the impedance of the stimulating electrodes was measured daily to monitor their electrical characteristics during chronic implantation. Histopathological examination of the cochleas showed no evidence of stimulus induced damage to cochlear structures when compared with implanted, unstimulated control cochleas. Indeed, there was no statistically significant difference in the ganglion cell density adjacent to the stimulating electrodes when compared with a similar population in implanted control cochleas. In addition, hair cell loss, which was restricted to regions adjacent to the electrode array, was not influenced by the degree of electrical stimulation. These histopathological findings were consistent with the evoked potential recordings. Finally, electrode impedance data correlated well with the degree of tissue growth observed within the scala tympani. The present findings indicate that the young mammalian cochlea is no more susceptible to cochlear pathology following chronic implantation and electrical stimulation than is the adult.

Animals↗
PubMed1992

Cochlear implants in children, adolescents, and prelinguistically deafened adults: speech perception.

A group of 10 children, adolescents, and prelinguistically deafened adults were implanted with the 22-electrode cochlear implant (Cochlear Pty Ltd) at the University of Melbourne Cochlear Implant Clinic and have used the prosthesis for periods from 12 to 65 months. Postoperative performance on the majority of closed-set speech perception tests was significantly greater than chance, and significantly better than preoperative performance for all of the patients. Five of the children have achieved substantial scores on open-set speech tests using hearing without lipreading. Phoneme scores in monosyllabic words ranged from 30% to 72%; word scores in sentences ranged from 26% to 74%. Four of these 5 children were implanted during preadolescence (aged 5:5 to 10:2 years) and the fifth, who had a progressive loss, was implanted during adolescence (aged 14:8 years). The duration of profound deafness before implantation varied from 2 to 8 years. Improvements were also noted over postoperative data collection times for the younger children. The remaining 5 patients who did not demonstrate open-set recognition were implanted after a longer duration of profound deafness (aged 13:11 to 20:1 years). The results are discussed with reference to variables that may affect implant performance, such as age at onset of loss, duration of profound loss, age at implantation, and duration of implantation. They are compared with results for similar groups of children using hearing aids and cochlear implants.

Adolescent↗
PubMed1992

The impact of phase I clinical trials on the quality of life of patients with cancer.

This prospective, non-randomized study was designed to evaluate the quality of life (QOL) of cancer patients receiving new cytotoxic therapy. QOL was measured using a linear analog self assessment scale (LASA). Cancer patients who received a phase I agent (n = 45) had no significant changes in any of the individual QOL variables, overall QOL (p = 0.77) or performance status (p = 0.08) following one course of phase I therapy. However, patients who were not eligible for entry on a phase I protocol and who received supportive care (n = 10) experienced significant decreases in overall QOL (p = 0.02) and performance status (p = 0.003) after 1 month of follow-up. This pilot study suggests that participation in phase I trials does not adversely affect one's QOL.

Adult↗
PubMed1992

Factors predicting postoperative sentence scores in postlinguistically deaf adult cochlear implant patients.

A sample of 64 postlinguistically profoundly to totally deaf adult cochlear implant patients were tested without lipreading by means of the Central Institute for the Deaf (CID) sentence test 3 months postoperatively. Preoperative promontory stimulation results (thresholds, gap detection, and frequency discrimination), age, duration of profound deafness, cause of deafness, lipreading ability, postoperative intracochlear thresholds and dynamic ranges for electrical stimulation, depth of insertion of the electrode array into the scala tympani, and number of electrodes in use were considered as possible factors that might be related to the postoperative sentence scores. A multiple regression analysis with stepwise inclusion of independent variables indicated that good gap detection and frequency discrimination during preoperative promontory testing, larger numbers of electrodes in use, and greater dynamic ranges for intracochlear electrical stimulation were associated with better CID scores. The CID scores tended to decrease with longer periods of profound deafness.

Adolescent↗