The Accuracy and Sensitivity of Delta Neutrophil Index in Malignancy: Diagnostic Study of Different Types

<b>Background/Objectives:</b> The delta neutrophil index (DNI)-a hematology analyzer-derived measure of circulating immature granulocytes-may assist pre-biopsy decision-making, yet its behavior across tumor types is incompletely defined. We examined whether pre-biopsy DNI differs by pathology category, tumor class, and definitive histology, and evaluated diagnostic performance. <b>Methods:</b> In this retrospective, single-center cohort, consecutive inpatients with malignancy were screened (<i>n</i> = 2009). Exclusions included positive blood cultures, prior chemotherapy/radiotherapy before index labs, and lack of definitive pathology, yielding 1313 analyzable cases. All laboratories, including DNI, were obtained before diagnostic biopsy. DNI was assessed as a continuous variable and categorized (Zero = 0; High > 0.6). Groupwise differences used Kruskal-Wallis and χ<sup>2</sup> tests with FDR control; discrimination used ROC analyses (one-versus-rest/pairwise). <b>Results:</b> DNI distributions differed across pathology, tumor class, and definitive diagnoses (all <i>p</i> < 0.001). High DNI (>0.6) and Zero DNI (=0) proportions also varied significantly by grouping. Hematologic malignancies showed the highest DNI (median ~1.0) compared with sarcoma and carcinoma (medians ~0.4). Using DNI alone, one-versus-rest AUCs were 0.735 (hematologic), 0.692 (melanoma), 0.672 (sarcoma), and 0.652 (carcinoma); the strongest pairwise separation was hematologic versus sarcoma (AUC 0.780). For specific solid tumors, including breast and renal cell carcinoma, single-marker discrimination was modest; no clinically actionable RCC cutoff emerged. Sensitivity analyses restricted to culture-negative cases yielded consistent findings. <b>Conclusions:</b> Pre-biopsy DNI exhibits tumor-type-dependent variation and provides adjunct diagnostic signal-the strongest for hematologic malignancy-yet is insufficient alone for solid tumor subtyping. Integration with clinical assessment and routine biomarkers, and multi-center validation with device harmonization are warranted.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-12-13
DOI
https://doi.org/10.3390/diagnostics15243187
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Accuracy and Sensitivity of Delta Neutrophil Index in Malignancy: Diagnostic Study of Different Types

Hüseyin Emre Tepedelenlioğlu, Özgen Ahmet Yıldırım, Hanife Avcı, Ahmet Kürşad Güneş et al.
Diagnostics
Inflammatory Biomarkers in Disease Prognosis
article

The Accuracy and Sensitivity of Delta Neutrophil Index in Malignancy: Diagnostic Study of Different Types

Hüseyin Emre Tepedelenlioğlu, Özgen Ahmet Yıldırım, Hanife Avcı, Ahmet Kürşad Güneş, Hüseyin Bilgehan Çevi̇k, Erkan Akgün
article en

Abstract

<b>Background/Objectives:</b> The delta neutrophil index (DNI)-a hematology analyzer-derived measure of circulating immature granulocytes-may assist pre-biopsy decision-making, yet its behavior across tumor types is incompletely defined. We examined whether pre-biopsy DNI differs by pathology category, tumor class, and definitive histology, and evaluated diagnostic performance. <b>Methods:</b> In this retrospective, single-center cohort, consecutive inpatients with malignancy were screened (<i>n</i> = 2009). Exclusions included positive blood cultures, prior chemotherapy/radiotherapy before index labs, and lack of definitive pathology, yielding 1313 analyzable cases. All laboratories, including DNI, were obtained before diagnostic biopsy. DNI was assessed as a continuous variable and categorized (Zero = 0; High > 0.6). Groupwise differences used Kruskal-Wallis and χ<sup>2</sup> tests with FDR control; discrimination used ROC analyses (one-versus-rest/pairwise). <b>Results:</b> DNI distributions differed across pathology, tumor class, and definitive diagnoses (all <i>p</i> < 0.001). High DNI (>0.6) and Zero DNI (=0) proportions also varied significantly by grouping. Hematologic malignancies showed the highest DNI (median ~1.0) compared with sarcoma and carcinoma (medians ~0.4). Using DNI alone, one-versus-rest AUCs were 0.735 (hematologic), 0.692 (melanoma), 0.672 (sarcoma), and 0.652 (carcinoma); the strongest pairwise separation was hematologic versus sarcoma (AUC 0.780). For specific solid tumors, including breast and renal cell carcinoma, single-marker discrimination was modest; no clinically actionable RCC cutoff emerged. Sensitivity analyses restricted to culture-negative cases yielded consistent findings. <b>Conclusions:</b> Pre-biopsy DNI exhibits tumor-type-dependent variation and provides adjunct diagnostic signal-the strongest for hematologic malignancy-yet is insufficient alone for solid tumor subtyping. Integration with clinical assessment and routine biomarkers, and multi-center validation with device harmonization are warranted.

DiagnosticsVol. 15(24)
Memorial Ankara Hospital (TR), Lokman Hekim Üniversitesi (TR), Hacettepe University (TR)
Openalex Percentile: Top 44%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.