Lisa M. Reisch
University of Washington
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Featured researches published by Lisa M. Reisch.
Medical Care | 2005
Joann G. Elmore; Connie Y. Nakano; Hannah M. Linden; Lisa M. Reisch; John Z. Ayanian; Eric B. Larson
Background:Recent studies suggest differences in quality and timeliness of care received may be major contributing sources to the racial disparity in breast cancer detection and related outcomes. Methods:Female patients with breast cancer diagnosed during 1985–1993 (n = 400) and followed through June 20, 2001, were included in this retrospective cohort study. Three white patients were selected randomly and matched to each black patient by year of diagnosis. Method and timing of diagnosis and timing of treatment were abstracted from medical records. Initial staging and subsequent breast cancer recurrence and vital status were obtained from the Hospital and Connecticut State Tumor Registry. Results:Black women were more likely than white women to be diagnosed after a patient-noted abnormality. Black women were less likely than white women to have completed a diagnostic evaluation within 30 days after a patient-noted abnormality (P < 0.01) or after having an abnormality noted on screening mammogram (P = 0.0001) and were less likely to have initiated treatment within 30 days of diagnosis (P = 0.0001). Women diagnosed after a patient-noted abnormality were more likely to have subsequent breast cancer recurrence and/or death due to breast cancer compared with women diagnosed after a screening mammogram (56% versus 24%, respectively, P < 0.05). Conclusions:Racial differences were identified at each step in the evaluation and treatment clinical pathway, including method of detection, timing from first symptoms of cancer to pathologic diagnosis, and timing from diagnosis to initiation of treatment. The findings highlight the need to provide equal opportunity for timely medical care and treatment.
Journal of The American Academy of Dermatology | 2014
Michael Piepkorn; Raymond L. Barnhill; David E. Elder; Stevan R. Knezevich; Patricia A. Carney; Lisa M. Reisch; Joann G. Elmore
BACKGROUND The histologic diagnosis of melanoma and nevi can be subject to discordance and errors, potentially leading to inappropriate treatment and harm. Diagnostic terminology is not standardized, creating confusion for providers and patients and challenges for investigators. OBJECTIVE We sought to describe the development of a pathology reporting form for more precise research on melanoma and a diagnostic-treatment mapping tool for improved patient care and consistency in treatment. METHODS Three dermatopathologists independently reviewed melanocytic lesions randomly selected from a dermatopathology database. Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) reporting schema evolved from iterative case review and form revision. RESULTS Differences in diagnostic thresholds, interpretation, and nomenclature contributed to development of the MPATH-Dx histology reporting form, which groups lesions by similarities in histogenesis and degrees of atypia. Because preliminary results indicate greater agreement regarding suggested treatments than for specific diagnoses, the diverse terminologies of the MPATH-Dx histology reporting form were stratified by commonalities of treatments in the MPATH-Dx diagnostic-treatment mapping scheme. LIMITATIONS Without transformative advances in diagnostic paradigms, the interpretation of melanocytic lesions frequently remains subjective. CONCLUSIONS The MPATH-Dx diagnostic-treatment mapping scheme could diminish confusion for those receiving reports by categorizing diverse nomenclature into a hierarchy stratified by suggested management interventions.
BMJ | 2017
Joann G. Elmore; Raymond L. Barnhill; David E. Elder; Gary Longton; Margaret Sullivan Pepe; Lisa M. Reisch; Patricia A. Carney; Linda J. Titus; Heidi D. Nelson; Tracy Onega; Anna N.A. Tosteson; Martin A. Weinstock; Stevan R. Knezevich; Michael Piepkorn
Objective To quantify the accuracy and reproducibility of pathologists’ diagnoses of melanocytic skin lesions. Design Observer accuracy and reproducibility study. Setting 10 US states. Participants Skin biopsy cases (n=240), grouped into sets of 36 or 48. Pathologists from 10 US states were randomized to independently interpret the same set on two occasions (phases 1 and 2), at least eight months apart. Main outcome measures Pathologists’ interpretations were condensed into five classes: I (eg, nevus or mild atypia); II (eg, moderate atypia); III (eg, severe atypia or melanoma in situ); IV (eg, pathologic stage T1a (pT1a) early invasive melanoma); and V (eg, ≥pT1b invasive melanoma). Reproducibility was assessed by intraobserver and interobserver concordance rates, and accuracy by concordance with three reference diagnoses. Results In phase 1, 187 pathologists completed 8976 independent case interpretations resulting in an average of 10 (SD 4) different diagnostic terms applied to each case. Among pathologists interpreting the same cases in both phases, when pathologists diagnosed a case as class I or class V during phase 1, they gave the same diagnosis in phase 2 for the majority of cases (class I 76.7%; class V 82.6%). However, the intraobserver reproducibility was lower for cases interpreted as class II (35.2%), class III (59.5%), and class IV (63.2%). Average interobserver concordance rates were lower, but with similar trends. Accuracy using a consensus diagnosis of experienced pathologists as reference varied by class: I, 92% (95% confidence interval 90% to 94%); II, 25% (22% to 28%); III, 40% (37% to 44%); IV, 43% (39% to 46%); and V, 72% (69% to 75%). It is estimated that at a population level, 82.8% (81.0% to 84.5%) of melanocytic skin biopsy diagnoses would have their diagnosis verified if reviewed by a consensus reference panel of experienced pathologists, with 8.0% (6.2% to 9.9%) of cases overinterpreted by the initial pathologist and 9.2% (8.8% to 9.6%) underinterpreted. Conclusion Diagnoses spanning moderately dysplastic nevi to early stage invasive melanoma were neither reproducible nor accurate in this large study of pathologists in the USA. Efforts to improve clinical practice should include using a standardized classification system, acknowledging uncertainty in pathology reports, and developing tools such as molecular markers to support pathologists’ visual assessments.
Histopathology | 2014
Kimberly H. Allison; Lisa M. Reisch; Patricia A. Carney; Donald L. Weaver; Stuart J. Schnitt; Frances P. O'Malley; Berta M. Geller; Joann G. Elmore
To gain a better understanding of the reasons for diagnostic variability, with the aim of reducing the phenomenon.
BMC Women's Health | 2013
Natalia V. Oster; Patricia A. Carney; Kimberly H. Allison; Donald L. Weaver; Lisa M. Reisch; Gary Longton; Tracy Onega; Margaret Sullivan Pepe; Berta M. Geller; Heidi D. Nelson; Tyler R Ross; Anna N.A. Tosteson; Joann G. Elmore
BackgroundDiagnostic test sets are a valuable research tool that contributes importantly to the validity and reliability of studies that assess agreement in breast pathology. In order to fully understand the strengths and weaknesses of any agreement and reliability study, however, the methods should be fully reported. In this paper we provide a step-by-step description of the methods used to create four complex test sets for a study of diagnostic agreement among pathologists interpreting breast biopsy specimens. We use the newly developed Guidelines for Reporting Reliability and Agreement Studies (GRRAS) as a basis to report these methods.MethodsBreast tissue biopsies were selected from the National Cancer Institute-funded Breast Cancer Surveillance Consortium sites. We used a random sampling stratified according to woman’s age (40–49 vs. ≥50), parenchymal breast density (low vs. high) and interpretation of the original pathologist. A 3-member panel of expert breast pathologists first independently interpreted each case using five primary diagnostic categories (non-proliferative changes, proliferative changes without atypia, atypical ductal hyperplasia, ductal carcinoma in situ, and invasive carcinoma). When the experts did not unanimously agree on a case diagnosis a modified Delphi method was used to determine the reference standard consensus diagnosis. The final test cases were stratified and randomly assigned into one of four unique test sets.ConclusionsWe found GRRAS recommendations to be very useful in reporting diagnostic test set development and recommend inclusion of two additional criteria: 1) characterizing the study population and 2) describing the methods for reference diagnosis, when applicable.
Journal of General Internal Medicine | 2007
Patricia A. Carney; Joyce P. Yi; Linn Abraham; Diana L. Miglioretti; Erin J. Aiello; Martha S. Gerrity; Lisa M. Reisch; Eric A. Berns; Edward A. Sickles; Joann G. Elmore
BackgroundReactions to uncertainty in clinical medicine can affect decision making.ObjectiveTo assess the extent to which radiologists’ reactions to uncertainty influence diagnostic mammography interpretation.DesignCross-sectional responses to a mailed survey assessed reactions to uncertainty using a well-validated instrument. Responses were linked to radiologists’ diagnostic mammography interpretive performance obtained from three regional mammography registries.ParticipantsOne hundred thirty-two radiologists from New Hampshire, Colorado, and Washington.MeasurementMean scores and either standard errors or confidence intervals were used to assess physicians’ reactions to uncertainty. Multivariable logistic regression models were fit via generalized estimating equations to assess the impact of uncertainty on diagnostic mammography interpretive performance while adjusting for potential confounders.ResultsWhen examining radiologists’ interpretation of additional diagnostic mammograms (those after screening mammograms that detected abnormalities), a 5-point increase in the reactions to uncertainty score was associated with a 17% higher odds of having a positive mammogram given cancer was diagnosed during follow-up (sensitivity), a 6% lower odds of a negative mammogram given no cancer (specificity), a 4% lower odds (not significant) of a cancer diagnosis given a positive mammogram (positive predictive value [PPV]), and a 5% higher odds of having a positive mammogram (abnormal interpretation).ConclusionMammograms interpreted by radiologists who have more discomfort with uncertainty have higher likelihood of being recalled.
Journal of General Internal Medicine | 2000
Lisa M. Reisch; Mary B. Barton; Suzanne W. Fletcher; William Kreuter; Joann G. Elmore
AbstractOBJECTIVE: To examine racial differences in breast cancer screening in an HMO that provides screening at no cost. DESIGN: Retrospective cohort study of breast cancer screening among African-American and white women. Breast cancer screening information was extracted from computerized medical records. SETTING: A large HMO in New England. PATIENTS/PARTICIPANTS: White and African-American women (N=2,072) enrolled for at least 10 years in the HMO. MAIN RESULTS: Primary care clinicians documented recommending a screening mammogram significantly more often for African Americans than whites (70% vs 64%; P<.001). During the 10-year period, on average, white women obtained more mammograms (4.49 vs 3.93; P<.0001) and clinical breast examinations (5.35 vs 4.92; P<.01) than African-American women. However, a woman’s race was no longer a statistically significant predictor of breast cancer screening after adjustment for differences in age, estimated household income, estrogen use, and body mass index (adjusted number of mammograms, 4.47 vs 4.25, P=.17; and adjusted number of clinical breast examinations, 5.35 vs 5.31, P=.87). CONCLUSIONS: In this HMO, African-American and white women obtained breast cancer screening at similar rates. Comparisons with national data showed much higher screening rates in this HMO for both white and African-American women.
Journal of The American Academy of Dermatology | 2014
Stevan R. Knezevich; Raymond L. Barnhill; David E. Elder; Michael Piepkorn; Lisa M. Reisch; Gaia Pocobelli; Patricia A. Carney; Joann G. Elmore
BACKGROUND T1 melanoma staging is significantly affected by tissue sampling approaches, which have not been well characterized. OBJECTIVE We sought to characterize presence of mitotic figures across a minimum of 5 sequential sections of T1 melanomas. METHODS A cohort of T1 melanomas with either 5 (single section per slide) or 10 (2 sections per slide) sequential sections (5-μm thickness) per case were prepared and examined for mitotic figures. RESULTS In all, 44 of 82 T1 melanomas (54%) were classified as T1b. The number of sections with a mitotic figure present ranged from only 1 of 5 sections (n = 5 of 44 cases, 11.4%) to all 5 (n = 20 of 44 cases, 45.5%). A sequential approach versus a nonsequential approach did not appear to matter. LIMITATION Cases were taken from a single pathology practice in the Pacific Northwest, which may not generalize to other populations in the United States. CONCLUSION The variation in the presence of mitotic figures within sequential sections supports reviewing 3 to 5 sections to fulfill American Joint Committee on Cancer recommendations. The prognostic significance of a T1b melanoma with a rare mitotic figure on a single section versus a T1b melanoma with mitotic figures on multiple sections deserves more attention to see if further subclassification is possible or even necessary.
Journal of Womens Health | 2011
Mara Y. Roth; Joann G. Elmore; Joyce P. Yi-Frazier; Lisa M. Reisch; Natalia V. Oster; Diana L. Miglioretti
PURPOSE The method by which breast cancer is detected becomes a factor for long-term survival and should be considered in treatment plans. This report describes patient characteristics and time trends for various methods of breast cancer detection in the United States. METHODS The 2003 National Health Interview Survey (NHIS), a nationally representative self-report health survey, included 361 women survivors diagnosed with breast cancer between 1980 and 2003. Responses to the question, How was your breast cancer found? were categorized as accident, self-examination, physician during routine breast examination, mammogram, and other. We examined responses by income, race, age, and year of diagnosis. RESULTS Most women survivors (57%) reported a detection method other than mammographic examination. Women often detected breast cancers themselves, either by self-examination (25%) or by accident (18%). CONCLUSIONS Despite increased use of screening mammography, a large percentage of breast cancers are detected by the patients themselves. Patient-noted breast abnormalities should be carefully evaluated.
Journal of Pathology Informatics | 2012
Vignesh Raghunath; Melissa O. Braxton; Stephanie A. Gagnon; Tad T. Brunyé; Kimberly H. Allison; Lisa M. Reisch; Donald L. Weaver; Joann G. Elmore; Linda G. Shapiro
Context: Digital pathology has the potential to dramatically alter the way pathologists work, yet little is known about pathologists′ viewing behavior while interpreting digital whole slide images. While tracking pathologist eye movements when viewing digital slides may be the most direct method of capturing pathologists′ viewing strategies, this technique is cumbersome and technically challenging to use in remote settings. Tracking pathologist mouse cursor movements may serve as a practical method of studying digital slide interpretation, and mouse cursor data may illuminate pathologists′ viewing strategies and time expenditures in their interpretive workflow. Aims: To evaluate the utility of mouse cursor movement data, in addition to eye-tracking data, in studying pathologists′ attention and viewing behavior. Settings and Design: Pathologists (N = 7) viewed 10 digital whole slide images of breast tissue that were selected using a random stratified sampling technique to include a range of breast pathology diagnoses (benign/atypia, carcinoma in situ, and invasive breast cancer). A panel of three expert breast pathologists established a consensus diagnosis for each case using a modified Delphi approach. Materials and Methods: Participants′ foveal vision was tracked using SensoMotoric Instruments RED 60 Hz eye-tracking system. Mouse cursor movement was tracked using a custom MATLAB script. Statistical Analysis Used: Data on eye-gaze and mouse cursor position were gathered at fixed intervals and analyzed using distance comparisons and regression analyses by slide diagnosis and pathologist expertise. Pathologists′ accuracy (defined as percent agreement with the expert consensus diagnoses) and efficiency (accuracy and speed) were also analyzed. Results: Mean viewing time per slide was 75.2 seconds (SD = 38.42). Accuracy (percent agreement with expert consensus) by diagnosis type was: 83% (benign/atypia); 48% (carcinoma in situ); and 93% (invasive). Spatial coupling was close between eye-gaze and mouse cursor positions (highest frequency ∆x was 4.00px (SD = 16.10), and ∆y was 37.50px (SD = 28.08)). Mouse cursor position moderately predicted eye gaze patterns (Rx = 0.33 and Ry = 0.21). Conclusions: Data detailing mouse cursor movements may be a useful addition to future studies of pathologists′ accuracy and efficiency when using digital pathology.